title
stringlengths 4
168
| content
stringlengths 7
1.74M
| commands
sequencelengths 1
5.62k
⌀ | url
stringlengths 79
342
|
|---|---|---|---|
14.9. Rebasing a Backing File of an Image | 14.9. Rebasing a Backing File of an Image The qemu-img rebase changes the backing file of an image. The backing file is changed to backing_file and (if the format of filename supports the feature), the backing file format is changed to backing_format . Note Only the qcow2 format supports changing the backing file (rebase). There are two different modes in which rebase can operate: safe and unsafe . safe mode is used by default and performs a real rebase operation. The new backing file may differ from the old one and the qemu-img rebase command will take care of keeping the guest virtual machine-visible content of filename unchanged. In order to achieve this, any clusters that differ between backing_file and old backing file of filename are merged into filename before making any changes to the backing file. Note that safe mode is an expensive operation, comparable to converting an image. The old backing file is required for it to complete successfully. unsafe mode is used if the -u option is passed to qemu-img rebase . In this mode, only the backing file name and format of filename is changed, without any checks taking place on the file contents. Make sure the new backing file is specified correctly or the guest-visible content of the image will be corrupted. This mode is useful for renaming or moving the backing file. It can be used without an accessible old backing file. For instance, it can be used to fix an image whose backing file has already been moved or renamed. | [
"qemu-img rebase [-f fmt ] [-t cache ] [-p] [-u] -b backing_file [-F backing_fmt ] filename"
] | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/virtualization_deployment_and_administration_guide/sect-using_qemu_img-re_basing_a_backing_file_of_an_image |
1.5. Pacemaker Configuration and Management Tools | 1.5. Pacemaker Configuration and Management Tools Pacemaker features two configuration tools for cluster deployment, monitoring, and management. pcs pcs can control all aspects of Pacemaker and the Corosync heartbeat daemon. A command-line based program, pcs can perform the following cluster management tasks: Create and configure a Pacemaker/Corosync cluster Modify configuration of the cluster while it is running Remotely configure both Pacemaker and Corosync remotely as well as start, stop, and display status information of the cluster pcsd Web UI A graphical user interface to create and configure Pacemaker/Corosync clusters, with the same features and abilities as the command-line based pcs utility. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/high_availability_add-on_overview/s1-Pacemakertools-HAAO |
Chapter 8. Installing on GCP | Chapter 8. Installing on GCP 8.1. Preparing to install on GCP 8.1.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . 8.1.2. Requirements for installing OpenShift Container Platform on GCP Before installing OpenShift Container Platform on Google Cloud Platform (GCP), you must create a service account and configure a GCP project. See Configuring a GCP project for details about creating a project, enabling API services, configuring DNS, GCP account limits, and supported GCP regions. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, see Manually creating IAM for GCP for other options. 8.1.3. Choosing a method to install OpenShift Container Platform on GCP You can install OpenShift Container Platform on installer-provisioned or user-provisioned infrastructure. The default installation type uses installer-provisioned infrastructure, where the installation program provisions the underlying infrastructure for the cluster. You can also install OpenShift Container Platform on infrastructure that you provision. If you do not use infrastructure that the installation program provisions, you must manage and maintain the cluster resources yourself. See Installation process for more information about installer-provisioned and user-provisioned installation processes. 8.1.3.1. Installing a cluster on installer-provisioned infrastructure You can install a cluster on GCP infrastructure that is provisioned by the OpenShift Container Platform installation program, by using one of the following methods: Installing a cluster quickly on GCP : You can install OpenShift Container Platform on GCP infrastructure that is provisioned by the OpenShift Container Platform installation program. You can install a cluster quickly by using the default configuration options. Installing a customized cluster on GCP : You can install a customized cluster on GCP infrastructure that the installation program provisions. The installation program allows for some customization to be applied at the installation stage. Many other customization options are available post-installation . Installing a cluster on GCP with network customizations : You can customize your OpenShift Container Platform network configuration during installation, so that your cluster can coexist with your existing IP address allocations and adhere to your network requirements. Installing a cluster on GCP in a restricted network : You can install OpenShift Container Platform on GCP on installer-provisioned infrastructure by using an internal mirror of the installation release content. You can use this method to install a cluster that does not require an active internet connection to obtain the software components. While you can install OpenShift Container Platform by using the mirrored content, your cluster still requires internet access to use the GCP APIs. Installing a cluster into an existing Virtual Private Cloud : You can install OpenShift Container Platform on an existing GCP Virtual Private Cloud (VPC). You can use this installation method if you have constraints set by the guidelines of your company, such as limits on creating new accounts or infrastructure. Installing a private cluster on an existing VPC : You can install a private cluster on an existing GCP VPC. You can use this method to deploy OpenShift Container Platform on an internal network that is not visible to the internet. 8.1.3.2. Installing a cluster on user-provisioned infrastructure You can install a cluster on GCP infrastructure that you provision, by using one of the following methods: Installing a cluster on GCP with user-provisioned infrastructure : You can install OpenShift Container Platform on GCP infrastructure that you provide. You can use the provided Deployment Manager templates to assist with the installation. Installing a cluster with shared VPC on user-provisioned infrastructure in GCP : You can use the provided Deployment Manager templates to create GCP resources in a shared VPC infrastructure. Installing a cluster on GCP in a restricted network with user-provisioned infrastructure : You can install OpenShift Container Platform on GCP in a restricted network with user-provisioned infrastructure. By creating an internal mirror of the installation release content, you can install a cluster that does not require an active internet connection to obtain the software components. You can also use this installation method to ensure that your clusters only use container images that satisfy your organizational controls on external content. 8.1.4. steps Configuring a GCP project 8.2. Configuring a GCP project Before you can install OpenShift Container Platform, you must configure a Google Cloud Platform (GCP) project to host it. 8.2.1. Creating a GCP project To install OpenShift Container Platform, you must create a project in your Google Cloud Platform (GCP) account to host the cluster. Procedure Create a project to host your OpenShift Container Platform cluster. See Creating and Managing Projects in the GCP documentation. Important Your GCP project must use the Premium Network Service Tier if you are using installer-provisioned infrastructure. The Standard Network Service Tier is not supported for clusters installed using the installation program. The installation program configures internal load balancing for the api-int.<cluster_name>.<base_domain> URL; the Premium Tier is required for internal load balancing. 8.2.2. Enabling API services in GCP Your Google Cloud Platform (GCP) project requires access to several API services to complete OpenShift Container Platform installation. Prerequisites You created a project to host your cluster. Procedure Enable the following required API services in the project that hosts your cluster. You may also enable optional API services which are not required for installation. See Enabling services in the GCP documentation. Table 8.1. Required API services API service Console service name Compute Engine API compute.googleapis.com Cloud Resource Manager API cloudresourcemanager.googleapis.com Google DNS API dns.googleapis.com IAM Service Account Credentials API iamcredentials.googleapis.com Identity and Access Management (IAM) API iam.googleapis.com Service Usage API serviceusage.googleapis.com Table 8.2. Optional API services API service Console service name Google Cloud APIs cloudapis.googleapis.com Service Management API servicemanagement.googleapis.com Google Cloud Storage JSON API storage-api.googleapis.com Cloud Storage storage-component.googleapis.com 8.2.3. Configuring DNS for GCP To install OpenShift Container Platform, the Google Cloud Platform (GCP) account you use must have a dedicated public hosted zone in the same project that you host the OpenShift Container Platform cluster. This zone must be authoritative for the domain. The DNS service provides cluster DNS resolution and name lookup for external connections to the cluster. Procedure Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through GCP or another source. Note If you purchase a new domain, it can take time for the relevant DNS changes to propagate. For more information about purchasing domains through Google, see Google Domains . Create a public hosted zone for your domain or subdomain in your GCP project. See Creating public zones in the GCP documentation. Use an appropriate root domain, such as openshiftcorp.com , or subdomain, such as clusters.openshiftcorp.com . Extract the new authoritative name servers from the hosted zone records. See Look up your Cloud DNS name servers in the GCP documentation. You typically have four name servers. Update the registrar records for the name servers that your domain uses. For example, if you registered your domain to Google Domains, see the following topic in the Google Domains Help: How to switch to custom name servers . If you migrated your root domain to Google Cloud DNS, migrate your DNS records. See Migrating to Cloud DNS in the GCP documentation. If you use a subdomain, follow your company's procedures to add its delegation records to the parent domain. This process might include a request to your company's IT department or the division that controls the root domain and DNS services for your company. 8.2.4. GCP account limits The OpenShift Container Platform cluster uses a number of Google Cloud Platform (GCP) components, but the default Quotas do not affect your ability to install a default OpenShift Container Platform cluster. A default cluster, which contains three compute and three control plane machines, uses the following resources. Note that some resources are required only during the bootstrap process and are removed after the cluster deploys. Table 8.3. GCP resources used in a default cluster Service Component Location Total resources required Resources removed after bootstrap Service account IAM Global 5 0 Firewall rules Compute Global 11 1 Forwarding rules Compute Global 2 0 In-use global IP addresses Compute Global 4 1 Health checks Compute Global 3 0 Images Compute Global 1 0 Networks Compute Global 2 0 Static IP addresses Compute Region 4 1 Routers Compute Global 1 0 Routes Compute Global 2 0 Subnetworks Compute Global 2 0 Target pools Compute Global 3 0 CPUs Compute Region 28 4 Persistent disk SSD (GB) Compute Region 896 128 Note If any of the quotas are insufficient during installation, the installation program displays an error that states both which quota was exceeded and the region. Be sure to consider your actual cluster size, planned cluster growth, and any usage from other clusters that are associated with your account. The CPU, static IP addresses, and persistent disk SSD (storage) quotas are the ones that are most likely to be insufficient. If you plan to deploy your cluster in one of the following regions, you will exceed the maximum storage quota and are likely to exceed the CPU quota limit: asia-east2 asia-northeast2 asia-south1 australia-southeast1 europe-north1 europe-west2 europe-west3 europe-west6 northamerica-northeast1 southamerica-east1 us-west2 You can increase resource quotas from the GCP console , but you might need to file a support ticket. Be sure to plan your cluster size early so that you can allow time to resolve the support ticket before you install your OpenShift Container Platform cluster. 8.2.5. Creating a service account in GCP OpenShift Container Platform requires a Google Cloud Platform (GCP) service account that provides authentication and authorization to access data in the Google APIs. If you do not have an existing IAM service account that contains the required roles in your project, you must create one. Prerequisites You created a project to host your cluster. Procedure Create a service account in the project that you use to host your OpenShift Container Platform cluster. See Creating a service account in the GCP documentation. Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the Owner role to it. See Granting roles to a service account for specific resources . Note While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable. Create the service account key in JSON format. See Creating service account keys in the GCP documentation. The service account key is required to create a cluster. 8.2.5.1. Required GCP roles When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. If your organization's security policies require a more restrictive set of permissions, you can create a service account with the following permissions. If you deploy your cluster into an existing virtual private cloud (VPC), the service account does not require certain networking permissions, which are noted in the following lists: Required roles for the installation program Compute Admin Security Admin Service Account Admin Service Account Key Admin Service Account User Storage Admin Required roles for creating network resources during installation DNS Administrator The roles are applied to the service accounts that the control plane and compute machines use: Table 8.4. GCP service account permissions Account Roles Control Plane roles/compute.instanceAdmin roles/compute.networkAdmin roles/compute.securityAdmin roles/storage.admin roles/iam.serviceAccountUser Compute roles/compute.viewer roles/storage.admin 8.2.5.2. Required GCP permissions for installer-provisioned infrastructure When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. If your organization's security policies require a more restrictive set of permissions, you can create custom roles with the necessary permissions. The following permissions are required for the installer-provisioned infrastructure for creating and deleting the OpenShift Container Platform cluster. Example 8.1. Required permissions for creating network resources compute.addresses.create compute.addresses.createInternal compute.addresses.delete compute.addresses.get compute.addresses.list compute.addresses.use compute.addresses.useInternal compute.firewalls.create compute.firewalls.delete compute.firewalls.get compute.firewalls.list compute.forwardingRules.create compute.forwardingRules.get compute.forwardingRules.list compute.forwardingRules.setLabels compute.networks.create compute.networks.get compute.networks.list compute.networks.updatePolicy compute.routers.create compute.routers.get compute.routers.list compute.routers.update compute.routes.list compute.subnetworks.create compute.subnetworks.get compute.subnetworks.list compute.subnetworks.use compute.subnetworks.useExternalIp Example 8.2. Required permissions for creating load balancer resources compute.regionBackendServices.create compute.regionBackendServices.get compute.regionBackendServices.list compute.regionBackendServices.update compute.regionBackendServices.use compute.targetPools.addInstance compute.targetPools.create compute.targetPools.get compute.targetPools.list compute.targetPools.removeInstance compute.targetPools.use Example 8.3. Required permissions for creating DNS resources dns.changes.create dns.changes.get dns.managedZones.create dns.managedZones.get dns.managedZones.list dns.networks.bindPrivateDNSZone dns.resourceRecordSets.create dns.resourceRecordSets.list Example 8.4. Required permissions for creating Service Account resources iam.serviceAccountKeys.create iam.serviceAccountKeys.delete iam.serviceAccountKeys.get iam.serviceAccountKeys.list iam.serviceAccounts.actAs iam.serviceAccounts.create iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.get resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 8.5. Required permissions for creating compute resources compute.disks.create compute.disks.get compute.disks.list compute.instanceGroups.create compute.instanceGroups.delete compute.instanceGroups.get compute.instanceGroups.list compute.instanceGroups.update compute.instanceGroups.use compute.instances.create compute.instances.delete compute.instances.get compute.instances.list compute.instances.setLabels compute.instances.setMetadata compute.instances.setServiceAccount compute.instances.setTags compute.instances.use compute.machineTypes.get compute.machineTypes.list Example 8.6. Required for creating storage resources storage.buckets.create storage.buckets.delete storage.buckets.get storage.buckets.list storage.objects.create storage.objects.delete storage.objects.get storage.objects.list Example 8.7. Required permissions for creating health check resources compute.healthChecks.create compute.healthChecks.get compute.healthChecks.list compute.healthChecks.useReadOnly compute.httpHealthChecks.create compute.httpHealthChecks.get compute.httpHealthChecks.list compute.httpHealthChecks.useReadOnly Example 8.8. Required permissions to get GCP zone and region related information compute.globalOperations.get compute.regionOperations.get compute.regions.list compute.zoneOperations.get compute.zones.get compute.zones.list Example 8.9. Required permissions for checking services and quotas monitoring.timeSeries.list serviceusage.quotas.get serviceusage.services.list Example 8.10. Required IAM permissions for installation iam.roles.get Example 8.11. Optional Images permissions for installation compute.images.list Example 8.12. Optional permission for running gather bootstrap compute.instances.getSerialPortOutput Example 8.13. Required permissions for deleting network resources compute.addresses.delete compute.addresses.deleteInternal compute.addresses.list compute.firewalls.delete compute.firewalls.list compute.forwardingRules.delete compute.forwardingRules.list compute.networks.delete compute.networks.list compute.networks.updatePolicy compute.routers.delete compute.routers.list compute.routes.list compute.subnetworks.delete compute.subnetworks.list Example 8.14. Required permissions for deleting load balancer resources compute.regionBackendServices.delete compute.regionBackendServices.list compute.targetPools.delete compute.targetPools.list Example 8.15. Required permissions for deleting DNS resources dns.changes.create dns.managedZones.delete dns.managedZones.get dns.managedZones.list dns.resourceRecordSets.delete dns.resourceRecordSets.list Example 8.16. Required permissions for deleting Service Account resources iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 8.17. Required permissions for deleting compute resources compute.disks.delete compute.disks.list compute.instanceGroups.delete compute.instanceGroups.list compute.instances.delete compute.instances.list compute.instances.stop compute.machineTypes.list Example 8.18. Required for deleting storage resources storage.buckets.delete storage.buckets.getIamPolicy storage.buckets.list storage.objects.delete storage.objects.list Example 8.19. Required permissions for deleting health check resources compute.healthChecks.delete compute.healthChecks.list compute.httpHealthChecks.delete compute.httpHealthChecks.list Example 8.20. Required Images permissions for deletion compute.images.list 8.2.6. Supported GCP regions You can deploy an OpenShift Container Platform cluster to the following Google Cloud Platform (GCP) regions: asia-east1 (Changhua County, Taiwan) asia-east2 (Hong Kong) asia-northeast1 (Tokyo, Japan) asia-northeast2 (Osaka, Japan) asia-northeast3 (Seoul, South Korea) asia-south1 (Mumbai, India) asia-south2 (Delhi, India) asia-southeast1 (Jurong West, Singapore) asia-southeast2 (Jakarta, Indonesia) australia-southeast1 (Sydney, Australia) australia-southeast2 (Melbourne, Australia) europe-central2 (Warsaw, Poland) europe-north1 (Hamina, Finland) europe-southwest1 (Madrid, Spain) europe-west1 (St. Ghislain, Belgium) europe-west2 (London, England, UK) europe-west3 (Frankfurt, Germany) europe-west4 (Eemshaven, Netherlands) europe-west6 (Zurich, Switzerland) europe-west8 (Milan, Italy) europe-west9 (Paris, France) europe-west12 (Turin, Italy) northamerica-northeast1 (Montreal, Quebec, Canada) northamerica-northeast2 (Toronto, Ontario, Canada) southamerica-east1 (Sao Paulo, Brazil) southamerica-west1 (Santiago, Chile) us-central1 (Council Bluffs, Iowa, USA) us-east1 (Moncks Corner, South Carolina, USA) us-east4 (Ashburn, Northern Virginia, USA) us-east5 (Columbus, Ohio) us-south1 (Dallas, Texas) us-west1 (The Dalles, Oregon, USA) us-west2 (Los Angeles, California, USA) us-west3 (Salt Lake City, Utah, USA) us-west4 (Las Vegas, Nevada, USA) Note To determine which machine type instances are available by region and zone, see the Google documentation . 8.2.7. steps Install an OpenShift Container Platform cluster on GCP. You can install a customized cluster or quickly install a cluster with default options. 8.3. Manually creating IAM for GCP In environments where the cloud identity and access management (IAM) APIs are not reachable, or the administrator prefers not to store an administrator-level credential secret in the cluster kube-system namespace, you can put the Cloud Credential Operator (CCO) into manual mode before you install the cluster. 8.3.1. Alternatives to storing administrator-level secrets in the kube-system project The Cloud Credential Operator (CCO) manages cloud provider credentials as Kubernetes custom resource definitions (CRDs). You can configure the CCO to suit the security requirements of your organization by setting different values for the credentialsMode parameter in the install-config.yaml file. If you prefer not to store an administrator-level credential secret in the cluster kube-system project, you can choose one of the following options when installing OpenShift Container Platform: Use manual mode with GCP Workload Identity : You can use the CCO utility ( ccoctl ) to configure the cluster to use manual mode with GCP Workload Identity. When the CCO utility is used to configure the cluster for GCP Workload Identity, it signs service account tokens that provide short-term, limited-privilege security credentials to components. Note This credentials strategy is supported for only new OpenShift Container Platform clusters and must be configured during installation. You cannot reconfigure an existing cluster that uses a different credentials strategy to use this feature. Manage cloud credentials manually : You can set the credentialsMode parameter for the CCO to Manual to manage cloud credentials manually. Using manual mode allows each cluster component to have only the permissions it requires, without storing an administrator-level credential in the cluster. You can also use this mode if your environment does not have connectivity to the cloud provider public IAM endpoint. However, you must manually reconcile permissions with new release images for every upgrade. You must also manually supply credentials for every component that requests them. Remove the administrator-level credential secret after installing OpenShift Container Platform with mint mode : If you are using the CCO with the credentialsMode parameter set to Mint , you can remove or rotate the administrator-level credential after installing OpenShift Container Platform. Mint mode is the default configuration for the CCO. This option requires the presence of the administrator-level credential during an installation. The administrator-level credential is used during the installation to mint other credentials with some permissions granted. The original credential secret is not stored in the cluster permanently. Note Prior to a non z-stream upgrade, you must reinstate the credential secret with the administrator-level credential. If the credential is not present, the upgrade might be blocked. Additional resources Using manual mode with GCP Workload Identity Rotating or removing cloud provider credentials For a detailed description of all available CCO credential modes and their supported platforms, see About the Cloud Credential Operator . 8.3.2. Manually create IAM The Cloud Credential Operator (CCO) can be put into manual mode prior to installation in environments where the cloud identity and access management (IAM) APIs are not reachable, or the administrator prefers not to store an administrator-level credential secret in the cluster kube-system namespace. Procedure Change to the directory that contains the installation program and create the install-config.yaml file by running the following command: USD openshift-install create install-config --dir <installation_directory> where <installation_directory> is the directory in which the installation program creates files. Edit the install-config.yaml configuration file so that it contains the credentialsMode parameter set to Manual . Example install-config.yaml configuration file apiVersion: v1 baseDomain: cluster1.example.com credentialsMode: Manual 1 compute: - architecture: amd64 hyperthreading: Enabled ... 1 This line is added to set the credentialsMode parameter to Manual . Generate the manifests by running the following command from the directory that contains the installation program: USD openshift-install create manifests --dir <installation_directory> where <installation_directory> is the directory in which the installation program creates files. From the directory that contains the installation program, obtain details of the OpenShift Container Platform release image that your openshift-install binary is built to use by running the following command: USD openshift-install version Example output release image quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64 Locate all CredentialsRequest objects in this release image that target the cloud you are deploying on by running the following command: USD oc adm release extract quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64 \ --credentials-requests \ --cloud=gcp This command creates a YAML file for each CredentialsRequest object. Sample CredentialsRequest object apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component-credentials-request> namespace: openshift-cloud-credential-operator ... spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: GCPProviderSpec predefinedRoles: - roles/storage.admin - roles/iam.serviceAccountUser skipServiceCheck: true ... Create YAML files for secrets in the openshift-install manifests directory that you generated previously. The secrets must be stored using the namespace and secret name defined in the spec.secretRef for each CredentialsRequest object. Sample CredentialsRequest object with secrets apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component-credentials-request> namespace: openshift-cloud-credential-operator ... spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 ... secretRef: name: <component-secret> namespace: <component-namespace> ... Sample Secret object apiVersion: v1 kind: Secret metadata: name: <component-secret> namespace: <component-namespace> data: service_account.json: <base64_encoded_gcp_service_account_file> Important The release image includes CredentialsRequest objects for Technology Preview features that are enabled by the TechPreviewNoUpgrade feature set. You can identify these objects by their use of the release.openshift.io/feature-gate: TechPreviewNoUpgrade annotation. If you are not using any of these features, do not create secrets for these objects. Creating secrets for Technology Preview features that you are not using can cause the installation to fail. If you are using any of these features, you must create secrets for the corresponding objects. To find CredentialsRequest objects with the TechPreviewNoUpgrade annotation, run the following command: USD grep "release.openshift.io/feature-gate" * Example output 0000_30_capi-operator_00_credentials-request.yaml: release.openshift.io/feature-gate: TechPreviewNoUpgrade From the directory that contains the installation program, proceed with your cluster creation: USD openshift-install create cluster --dir <installation_directory> Important Before upgrading a cluster that uses manually maintained credentials, you must ensure that the CCO is in an upgradeable state. Additional resources Updating a cluster using the web console Updating a cluster using the CLI 8.3.3. Mint mode Mint mode is the default Cloud Credential Operator (CCO) credentials mode for OpenShift Container Platform on platforms that support it. In this mode, the CCO uses the provided administrator-level cloud credential to run the cluster. Mint mode is supported for AWS and GCP. In mint mode, the admin credential is stored in the kube-system namespace and then used by the CCO to process the CredentialsRequest objects in the cluster and create users for each with specific permissions. The benefits of mint mode include: Each cluster component has only the permissions it requires Automatic, on-going reconciliation for cloud credentials, including additional credentials or permissions that might be required for upgrades One drawback is that mint mode requires admin credential storage in a cluster kube-system secret. 8.3.4. Mint mode with removal or rotation of the administrator-level credential Currently, this mode is only supported on AWS and GCP. In this mode, a user installs OpenShift Container Platform with an administrator-level credential just like the normal mint mode. However, this process removes the administrator-level credential secret from the cluster post-installation. The administrator can have the Cloud Credential Operator make its own request for a read-only credential that allows it to verify if all CredentialsRequest objects have their required permissions, thus the administrator-level credential is not required unless something needs to be changed. After the associated credential is removed, it can be deleted or deactivated on the underlying cloud, if desired. Note Prior to a non z-stream upgrade, you must reinstate the credential secret with the administrator-level credential. If the credential is not present, the upgrade might be blocked. The administrator-level credential is not stored in the cluster permanently. Following these steps still requires the administrator-level credential in the cluster for brief periods of time. It also requires manually re-instating the secret with administrator-level credentials for each upgrade. 8.3.5. steps Install an OpenShift Container Platform cluster: Installing a cluster quickly on GCP with default options on installer-provisioned infrastructure Install a cluster with cloud customizations on installer-provisioned infrastructure Install a cluster with network customizations on installer-provisioned infrastructure 8.4. Installing a cluster quickly on GCP In OpenShift Container Platform version 4.11, you can install a cluster on Google Cloud Platform (GCP) that uses the default configuration options. 8.4.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . You configured a GCP project to host the cluster. If you use a firewall, you configured it to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . You have determined that the GCP region to which you are installing supports the N1 machine type. For more information, see the Google documentation . By default, the installation program deploys control plane and compute nodes with the N1 machine type. Note If the region to which you are installing does not support the N1 machine type, you cannot complete the installation using these steps. You must specify a supported machine type in the install-config.yaml file before you install the cluster. For more information, see Installing a cluster on GCP with customizations . 8.4.2. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.4.3. Generating a key pair for cluster node SSH access During an OpenShift Container Platform installation, you can provide an SSH public key to the installation program. The key is passed to the Red Hat Enterprise Linux CoreOS (RHCOS) nodes through their Ignition config files and is used to authenticate SSH access to the nodes. The key is added to the ~/.ssh/authorized_keys list for the core user on each node, which enables password-less authentication. After the key is passed to the nodes, you can use the key pair to SSH in to the RHCOS nodes as the user core . To access the nodes through SSH, the private key identity must be managed by SSH for your local user. If you want to SSH in to your cluster nodes to perform installation debugging or disaster recovery, you must provide the SSH public key during the installation process. The ./openshift-install gather command also requires the SSH public key to be in place on the cluster nodes. Important Do not skip this procedure in production environments, where disaster recovery and debugging is required. Note You must use a local key, not one that you configured with platform-specific approaches such as AWS key pairs . Procedure If you do not have an existing SSH key pair on your local machine to use for authentication onto your cluster nodes, create one. For example, on a computer that uses a Linux operating system, run the following command: USD ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1 1 Specify the path and file name, such as ~/.ssh/id_ed25519 , of the new SSH key. If you have an existing key pair, ensure your public key is in the your ~/.ssh directory. Note If you plan to install an OpenShift Container Platform cluster that uses FIPS validated or Modules In Process cryptographic libraries on the x86_64 architecture, do not create a key that uses the ed25519 algorithm. Instead, create a key that uses the rsa or ecdsa algorithm. View the public SSH key: USD cat <path>/<file_name>.pub For example, run the following to view the ~/.ssh/id_ed25519.pub public key: USD cat ~/.ssh/id_ed25519.pub Add the SSH private key identity to the SSH agent for your local user, if it has not already been added. SSH agent management of the key is required for password-less SSH authentication onto your cluster nodes, or if you want to use the ./openshift-install gather command. Note On some distributions, default SSH private key identities such as ~/.ssh/id_rsa and ~/.ssh/id_dsa are managed automatically. If the ssh-agent process is not already running for your local user, start it as a background task: USD eval "USD(ssh-agent -s)" Example output Agent pid 31874 Note If your cluster is in FIPS mode, only use FIPS-compliant algorithms to generate the SSH key. The key must be either RSA or ECDSA. Add your SSH private key to the ssh-agent : USD ssh-add <path>/<file_name> 1 1 Specify the path and file name for your SSH private key, such as ~/.ssh/id_ed25519 Example output Identity added: /home/<you>/<path>/<file_name> (<computer_name>) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the full path to your service account private key file. USD export GOOGLE_APPLICATION_CREDENTIALS="<your_service_account_file>" Verify that the credentials were applied. USD gcloud auth list steps When you install OpenShift Container Platform, provide the SSH public key to the installation program. 8.4.4. Obtaining the installation program Before you install OpenShift Container Platform, download the installation file on a local computer. Prerequisites You have a computer that runs Linux or macOS, with 500 MB of local disk space. Procedure Access the Infrastructure Provider page on the OpenShift Cluster Manager site. If you have a Red Hat account, log in with your credentials. If you do not, create an account. Select your infrastructure provider. Navigate to the page for your installation type, download the installation program that corresponds with your host operating system and architecture, and place the file in the directory where you will store the installation configuration files. Important The installation program creates several files on the computer that you use to install your cluster. You must keep the installation program and the files that the installation program creates after you finish installing the cluster. Both files are required to delete the cluster. Important Deleting the files created by the installation program does not remove your cluster, even if the cluster failed during installation. To remove your cluster, complete the OpenShift Container Platform uninstallation procedures for your specific cloud provider. Extract the installation program. For example, on a computer that uses a Linux operating system, run the following command: USD tar -xvf openshift-install-linux.tar.gz Download your installation pull secret from the Red Hat OpenShift Cluster Manager . This pull secret allows you to authenticate with the services that are provided by the included authorities, including Quay.io, which serves the container images for OpenShift Container Platform components. 8.4.5. Deploying the cluster You can install OpenShift Container Platform on a compatible cloud platform. Important You can run the create cluster command of the installation program only once, during initial installation. Prerequisites Configure an account with the cloud platform that hosts your cluster. Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Remove any existing GCP credentials that do not use the service account key for the GCP account that you configured for your cluster and that are stored in the following locations: The GOOGLE_CREDENTIALS , GOOGLE_CLOUD_KEYFILE_JSON , or GCLOUD_KEYFILE_JSON environment variables The ~/.gcp/osServiceAccount.json file The gcloud cli default credentials Change to the directory that contains the installation program and initialize the cluster deployment: USD ./openshift-install create cluster --dir <installation_directory> \ 1 --log-level=info 2 1 For <installation_directory> , specify the directory name to store the files that the installation program creates. 2 To view different installation details, specify warn , debug , or error instead of info . When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. Provide values at the prompts: Optional: Select an SSH key to use to access your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Select gcp as the platform to target. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. If you provide a name that is longer than 6 characters, only the first 6 characters will be used in the infrastructure ID that is generated from the cluster name. Paste the pull secret from the Red Hat OpenShift Cluster Manager . Note If the cloud provider account that you configured on your host does not have sufficient permissions to deploy the cluster, the installation process stops, and the missing permissions are displayed. Optional: You can reduce the number of permissions for the service account that you used to install the cluster. If you assigned the Owner role to your service account, you can remove that role and replace it with the Viewer role. If you included the Service Account Key Admin role, you can remove it. Verification When the cluster deployment completes successfully: The terminal displays directions for accessing your cluster, including a link to the web console and credentials for the kubeadmin user. Credential information also outputs to <installation_directory>/.openshift_install.log . Important Do not delete the installation program or the files that the installation program creates. Both are required to delete the cluster. Example output ... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: "kubeadmin", and password: "password" INFO Time elapsed: 36m22s Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. 8.4.6. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.4.7. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin Additional resources See Accessing the web console for more details about accessing and understanding the OpenShift Container Platform web console. 8.4.8. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.4.9. steps Customize your cluster . If necessary, you can opt out of remote health reporting . 8.5. Installing a cluster on GCP with customizations In OpenShift Container Platform version 4.11, you can install a customized cluster on infrastructure that the installation program provisions on Google Cloud Platform (GCP). To customize the installation, you modify parameters in the install-config.yaml file before you install the cluster. 8.5.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . You configured a GCP project to host the cluster. If you use a firewall, you configured it to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . 8.5.2. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.5.3. Generating a key pair for cluster node SSH access During an OpenShift Container Platform installation, you can provide an SSH public key to the installation program. The key is passed to the Red Hat Enterprise Linux CoreOS (RHCOS) nodes through their Ignition config files and is used to authenticate SSH access to the nodes. The key is added to the ~/.ssh/authorized_keys list for the core user on each node, which enables password-less authentication. After the key is passed to the nodes, you can use the key pair to SSH in to the RHCOS nodes as the user core . To access the nodes through SSH, the private key identity must be managed by SSH for your local user. If you want to SSH in to your cluster nodes to perform installation debugging or disaster recovery, you must provide the SSH public key during the installation process. The ./openshift-install gather command also requires the SSH public key to be in place on the cluster nodes. Important Do not skip this procedure in production environments, where disaster recovery and debugging is required. Note You must use a local key, not one that you configured with platform-specific approaches such as AWS key pairs . Procedure If you do not have an existing SSH key pair on your local machine to use for authentication onto your cluster nodes, create one. For example, on a computer that uses a Linux operating system, run the following command: USD ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1 1 Specify the path and file name, such as ~/.ssh/id_ed25519 , of the new SSH key. If you have an existing key pair, ensure your public key is in the your ~/.ssh directory. Note If you plan to install an OpenShift Container Platform cluster that uses FIPS validated or Modules In Process cryptographic libraries on the x86_64 architecture, do not create a key that uses the ed25519 algorithm. Instead, create a key that uses the rsa or ecdsa algorithm. View the public SSH key: USD cat <path>/<file_name>.pub For example, run the following to view the ~/.ssh/id_ed25519.pub public key: USD cat ~/.ssh/id_ed25519.pub Add the SSH private key identity to the SSH agent for your local user, if it has not already been added. SSH agent management of the key is required for password-less SSH authentication onto your cluster nodes, or if you want to use the ./openshift-install gather command. Note On some distributions, default SSH private key identities such as ~/.ssh/id_rsa and ~/.ssh/id_dsa are managed automatically. If the ssh-agent process is not already running for your local user, start it as a background task: USD eval "USD(ssh-agent -s)" Example output Agent pid 31874 Note If your cluster is in FIPS mode, only use FIPS-compliant algorithms to generate the SSH key. The key must be either RSA or ECDSA. Add your SSH private key to the ssh-agent : USD ssh-add <path>/<file_name> 1 1 Specify the path and file name for your SSH private key, such as ~/.ssh/id_ed25519 Example output Identity added: /home/<you>/<path>/<file_name> (<computer_name>) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the full path to your service account private key file. USD export GOOGLE_APPLICATION_CREDENTIALS="<your_service_account_file>" Verify that the credentials were applied. USD gcloud auth list steps When you install OpenShift Container Platform, provide the SSH public key to the installation program. 8.5.4. Obtaining the installation program Before you install OpenShift Container Platform, download the installation file on a local computer. Prerequisites You have a computer that runs Linux or macOS, with 500 MB of local disk space. Procedure Access the Infrastructure Provider page on the OpenShift Cluster Manager site. If you have a Red Hat account, log in with your credentials. If you do not, create an account. Select your infrastructure provider. Navigate to the page for your installation type, download the installation program that corresponds with your host operating system and architecture, and place the file in the directory where you will store the installation configuration files. Important The installation program creates several files on the computer that you use to install your cluster. You must keep the installation program and the files that the installation program creates after you finish installing the cluster. Both files are required to delete the cluster. Important Deleting the files created by the installation program does not remove your cluster, even if the cluster failed during installation. To remove your cluster, complete the OpenShift Container Platform uninstallation procedures for your specific cloud provider. Extract the installation program. For example, on a computer that uses a Linux operating system, run the following command: USD tar -xvf openshift-install-linux.tar.gz Download your installation pull secret from the Red Hat OpenShift Cluster Manager . This pull secret allows you to authenticate with the services that are provided by the included authorities, including Quay.io, which serves the container images for OpenShift Container Platform components. 8.5.5. Creating the installation configuration file You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP). Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Obtain service principal permissions at the subscription level. Procedure Create the install-config.yaml file. Change to the directory that contains the installation program and run the following command: USD ./openshift-install create install-config --dir <installation_directory> 1 1 For <installation_directory> , specify the directory name to store the files that the installation program creates. When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. At the prompts, provide the configuration details for your cloud: Optional: Select an SSH key to use to access your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Select gcp as the platform to target. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. Paste the pull secret from the Red Hat OpenShift Cluster Manager . Modify the install-config.yaml file. You can find more information about the available parameters in the "Installation configuration parameters" section. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now. 8.5.5.1. Installation configuration parameters Before you deploy an OpenShift Container Platform cluster, you provide parameter values to describe your account on the cloud platform that hosts your cluster and optionally customize your cluster's platform. When you create the install-config.yaml installation configuration file, you provide values for the required parameters through the command line. If you customize your cluster, you can modify the install-config.yaml file to provide more details about the platform. Note After installation, you cannot modify these parameters in the install-config.yaml file. 8.5.5.1.1. Required configuration parameters Required installation configuration parameters are described in the following table: Table 8.5. Required parameters Parameter Description Values apiVersion The API version for the install-config.yaml content. The current version is v1 . The installer may also support older API versions. String baseDomain The base domain of your cloud provider. The base domain is used to create routes to your OpenShift Container Platform cluster components. The full DNS name for your cluster is a combination of the baseDomain and metadata.name parameter values that uses the <metadata.name>.<baseDomain> format. A fully-qualified domain or subdomain name, such as example.com . metadata Kubernetes resource ObjectMeta , from which only the name parameter is consumed. Object metadata.name The name of the cluster. DNS records for the cluster are all subdomains of {{.metadata.name}}.{{.baseDomain}} . String of lowercase letters, hyphens ( - ), and periods ( . ), such as dev . platform The configuration for the specific platform upon which to perform the installation: alibabacloud , aws , baremetal , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} . For additional information about platform.<platform> parameters, consult the table for your specific platform that follows. Object pullSecret Get a pull secret from the Red Hat OpenShift Cluster Manager to authenticate downloading container images for OpenShift Container Platform components from services such as Quay.io. { "auths":{ "cloud.openshift.com":{ "auth":"b3Blb=", "email":"[email protected]" }, "quay.io":{ "auth":"b3Blb=", "email":"[email protected]" } } } 8.5.5.1.2. Network configuration parameters You can customize your installation configuration based on the requirements of your existing network infrastructure. For example, you can expand the IP address block for the cluster network or provide different IP address blocks than the defaults. Only IPv4 addresses are supported. Note Globalnet is not supported with Red Hat OpenShift Data Foundation disaster recovery solutions. For regional disaster recovery scenarios, ensure that you use a nonoverlapping range of private IP addresses for the cluster and service networks in each cluster. Table 8.6. Network parameters Parameter Description Values networking The configuration for the cluster network. Object Note You cannot modify parameters specified by the networking object after installation. networking.networkType The cluster network provider Container Network Interface (CNI) cluster network provider to install. Either OpenShiftSDN or OVNKubernetes . OpenShiftSDN is a CNI provider for all-Linux networks. OVNKubernetes is a CNI provider for Linux networks and hybrid networks that contain both Linux and Windows servers. The default value is OpenShiftSDN . networking.clusterNetwork The IP address blocks for pods. The default value is 10.128.0.0/14 with a host prefix of /23 . If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 networking.clusterNetwork.cidr Required if you use networking.clusterNetwork . An IP address block. An IPv4 network. An IP address block in Classless Inter-Domain Routing (CIDR) notation. The prefix length for an IPv4 block is between 0 and 32 . networking.clusterNetwork.hostPrefix The subnet prefix length to assign to each individual node. For example, if hostPrefix is set to 23 then each node is assigned a /23 subnet out of the given cidr . A hostPrefix value of 23 provides 510 (2^(32 - 23) - 2) pod IP addresses. A subnet prefix. The default value is 23 . networking.serviceNetwork The IP address block for services. The default value is 172.30.0.0/16 . The OpenShift SDN and OVN-Kubernetes network providers support only a single IP address block for the service network. An array with an IP address block in CIDR format. For example: networking: serviceNetwork: - 172.30.0.0/16 networking.machineNetwork The IP address blocks for machines. If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: machineNetwork: - cidr: 10.0.0.0/16 networking.machineNetwork.cidr Required if you use networking.machineNetwork . An IP address block. The default value is 10.0.0.0/16 for all platforms other than libvirt. For libvirt, the default value is 192.168.126.0/24 . An IP network block in CIDR notation. For example, 10.0.0.0/16 . Note Set the networking.machineNetwork to match the CIDR that the preferred NIC resides in. 8.5.5.1.3. Optional configuration parameters Optional installation configuration parameters are described in the following table: Table 8.7. Optional parameters Parameter Description Values additionalTrustBundle A PEM-encoded X.509 certificate bundle that is added to the nodes' trusted certificate store. This trust bundle may also be used when a proxy has been configured. String capabilities Controls the installation of optional core cluster components. You can reduce the footprint of your OpenShift Container Platform cluster by disabling optional components. String array capabilities.baselineCapabilitySet Selects an initial set of optional capabilities to enable. Valid values are None , v4.11 and vCurrent . v4.11 enables the baremetal Operator, the marketplace Operator, and the openshift-samples content. vCurrent installs the recommended set of capabilities for the current version of OpenShift Container Platform. The default value is vCurrent . String capabilities.additionalEnabledCapabilities Extends the set of optional capabilities beyond what you specify in baselineCapabilitySet . Valid values are baremetal , marketplace and openshift-samples . You may specify multiple capabilities in this parameter. String array cgroupsV2 Enables Linux control groups version 2 (cgroups v2) on specific nodes in your cluster. The OpenShift Container Platform process for enabling cgroups v2 disables all cgroup version 1 controllers and hierarchies. The OpenShift Container Platform cgroups version 2 feature is in Developer Preview and is not supported by Red Hat at this time. true compute The configuration for the machines that comprise the compute nodes. Array of MachinePool objects. compute.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String compute.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on compute machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled compute.name Required if you use compute . The name of the machine pool. worker compute.platform Required if you use compute . Use this parameter to specify the cloud provider to host the worker machines. This parameter value must match the controlPlane.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} compute.replicas The number of compute machines, which are also known as worker machines, to provision. A positive integer greater than or equal to 2 . The default value is 3 . controlPlane The configuration for the machines that comprise the control plane. Array of MachinePool objects. controlPlane.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String controlPlane.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on control plane machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled controlPlane.name Required if you use controlPlane . The name of the machine pool. master controlPlane.platform Required if you use controlPlane . Use this parameter to specify the cloud provider that hosts the control plane machines. This parameter value must match the compute.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} controlPlane.replicas The number of control plane machines to provision. The only supported value is 3 , which is the default value. credentialsMode The Cloud Credential Operator (CCO) mode. If no mode is specified, the CCO dynamically tries to determine the capabilities of the provided credentials, with a preference for mint mode on the platforms where multiple modes are supported. If you are installing on GCP into a shared virtual private cloud (VPC), credentialsMode must be set to Passthrough . Note Not all CCO modes are supported for all cloud providers. For more information on CCO modes, see the Cloud Credential Operator entry in the Cluster Operators reference content. Note If your AWS account has service control policies (SCP) enabled, you must configure the credentialsMode parameter to Mint , Passthrough or Manual . Mint , Passthrough , Manual or an empty string ( "" ). fips Enable or disable FIPS mode. The default is false (disabled). If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. Note If you are using Azure File storage, you cannot enable FIPS mode. false or true imageContentSources Sources and repositories for the release-image content. Array of objects. Includes a source and, optionally, mirrors , as described in the following rows of this table. imageContentSources.source Required if you use imageContentSources . Specify the repository that users refer to, for example, in image pull specifications. String imageContentSources.mirrors Specify one or more repositories that may also contain the same images. Array of strings publish How to publish or expose the user-facing endpoints of your cluster, such as the Kubernetes API, OpenShift routes. Internal or External . To deploy a private cluster, which cannot be accessed from the internet, set publish to Internal . The default value is External . sshKey The SSH key to authenticate access to your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. For example, sshKey: ssh-ed25519 AAAA.. . 8.5.5.1.4. Additional Google Cloud Platform (GCP) configuration parameters Additional GCP configuration parameters are described in the following table: Table 8.8. Additional GCP parameters Parameter Description Values platform.gcp.network The name of the existing VPC that you want to deploy your cluster to. String. platform.gcp.projectID The name of the GCP project where the installation program installs the cluster. String. platform.gcp.region The name of the GCP region that hosts your cluster. Any valid region name, such as us-central1 . platform.gcp.controlPlaneSubnet The name of the existing subnet in your VPC that you want to deploy your control plane machines to. The subnet name. platform.gcp.computeSubnet The name of the existing subnet in your VPC that you want to deploy your compute machines to. The subnet name. platform.gcp.licenses A list of license URLs that must be applied to the compute images. Important The licenses parameter is a deprecated field and nested virtualization is enabled by default. It is not recommended to use this field. Any license available with the license API , such as the license to enable nested virtualization . You cannot use this parameter with a mechanism that generates pre-built images. Using a license URL forces the installer to copy the source image before use. platform.gcp.defaultMachinePlatform.osDisk.diskSizeGB The size of the disk in gigabytes (GB). Any size between 16 GB and 65536 GB. platform.gcp.defaultMachinePlatform.osDisk.diskType The type of disk. Either the default pd-ssd or the pd-standard disk type. The control plane nodes must be the pd-ssd disk type. The worker nodes can be either type. platform.gcp.defaultMachinePlatform.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot control plane and compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for both types of machines. String. The name of GCP project where the image is located. platform.gcp.defaultMachinePlatform.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane and compute machines. If you use platform.gcp.defaultMachinePlatform.osImage.project , this field is required. String. The name of the RHCOS image. platform.gcp.defaultMachinePlatform.type The GCP machine type . The GCP machine type. platform.gcp.defaultMachinePlatform.zones The availability zones where the installation program creates machines for the specified MachinePool. A list of valid GCP availability zones , such as us-central1-a , in a YAML sequence . controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for control plane machine disk encryption. The encryption key name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For control plane machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.location For control plane machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For control plane machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. controlPlane.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the Red Hat Enterprise Linux CoreOS (RHCOS) image that is used to boot control plane machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for control plane machines only. String. The name of GCP project where the image is located. controlPlane.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane machines. If you use controlPlane.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. compute.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for compute machine disk encryption. The encryption key name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For compute machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.location For compute machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. compute.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For compute machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. compute.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for compute machines only. String. The name of GCP project where the image is located. compute.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot compute machines. If you use compute.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. 8.5.5.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.9. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. Additional resources Optimizing storage 8.5.5.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.21. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.5.5.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . As part of the installation process, you specify the custom machine type in the install-config.yaml file. Sample install-config.yaml file with a custom machine type compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3 8.5.5.5. Sample customized install-config.yaml file for GCP You can customize the install-config.yaml file to specify more details about your OpenShift Container Platform cluster's platform or modify the values of the required parameters. Important This sample YAML file is provided for reference only. You must obtain your install-config.yaml file by using the installation program and modify it. apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name pullSecret: '{"auths": ...}' 16 fips: false 17 sshKey: ssh-ed25519 AAAA... 18 1 12 13 14 16 Required. The installation program prompts you for this value. 2 7 If you do not provide these parameters and values, the installation program provides the default value. 3 8 The controlPlane section is a single mapping, but the compute section is a sequence of mappings. To meet the requirements of the different data structures, the first line of the compute section must begin with a hyphen, - , and the first line of the controlPlane section must not. Only one control plane pool is used. 4 9 Whether to enable or disable simultaneous multithreading, or hyperthreading . By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. You can disable it by setting the parameter value to Disabled . If you disable simultaneous multithreading in some cluster machines, you must disable it in all cluster machines. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Use larger machine types, such as n1-standard-8 , for your machines if you disable simultaneous multithreading. 5 10 Optional: The custom encryption key section to encrypt both virtual machines and persistent volumes. Your default compute service account must have the permissions granted to use your KMS key and have the correct IAM role assigned. The default service account name follows the service-<project_number>@compute-system.iam.gserviceaccount.com pattern. For more information on granting the correct permissions for your service account, see "Machine management" "Creating machine sets" "Creating a machine set on GCP". 6 11 15 Optional: A custom Red Hat Enterprise Linux CoreOS (RHCOS) image for the installation program to use to boot control plane and compute machines. The project and name parameters under platform.gcp.defaultMachinePlatform.osImage apply to both control plane and compute machines. If the project and name parameters under controlPlane.platform.gcp.osImage or compute.platform.gcp.osImage are set, they override the platform.gcp.defaultMachinePlatform.osImage parameters. 17 Whether to enable or disable FIPS mode. By default, FIPS mode is not enabled. If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. 18 You can optionally provide the sshKey value that you use to access the machines in your cluster. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Additional resources Enabling customer-managed encryption keys for a machine set 8.5.5.6. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.5.6. Using the GCP Marketplace offering Using the GCP Marketplace offering lets you deploy an OpenShift Container Platform cluster, which is billed on pay-per-use basis (hourly, per core) through GCP, while still being supported directly by Red Hat. By default, the installation program downloads and installs the Red Hat Enterprise Linux CoreOS (RHCOS) image that is used to deploy compute machines. To deploy an OpenShift Container Platform cluster using an RHCOS image from the GCP Marketplace, override the default behavior by modifying the install-config.yaml file to reference the location of GCP Marketplace offer. Prerequisites You have an existing install-config.yaml file. Procedure Edit the compute.platform.gcp.osImage parameters to specify the location of the GCP Marketplace image: Set the project parameter to redhat-marketplace-public . Set the name parameter to one of the following offerings: OpenShift Container Platform redhat-coreos-ocp-48-x86-64-202210040145 OpenShift Platform Plus redhat-coreos-opp-48-x86-64-202206140145 OpenShift Kubernetes Engine redhat-coreos-oke-48-x86-64-202206140145 Save the file and reference it when deploying the cluster. Sample install-config.yaml file that specifies a GCP Marketplace image for compute machines apiVersion: v1 baseDomain: example.com controlPlane: # ... compute: platform: gcp: osImage: project: redhat-marketplace-public name: redhat-coreos-ocp-48-x86-64-202210040145 # ... 8.5.7. Deploying the cluster You can install OpenShift Container Platform on a compatible cloud platform. Important You can run the create cluster command of the installation program only once, during initial installation. Prerequisites Configure an account with the cloud platform that hosts your cluster. Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Remove any existing GCP credentials that do not use the service account key for the GCP account that you configured for your cluster and that are stored in the following locations: The GOOGLE_CREDENTIALS , GOOGLE_CLOUD_KEYFILE_JSON , or GCLOUD_KEYFILE_JSON environment variables The ~/.gcp/osServiceAccount.json file The gcloud cli default credentials Change to the directory that contains the installation program and initialize the cluster deployment: USD ./openshift-install create cluster --dir <installation_directory> \ 1 --log-level=info 2 1 For <installation_directory> , specify the location of your customized ./install-config.yaml file. 2 To view different installation details, specify warn , debug , or error instead of info . Note If the cloud provider account that you configured on your host does not have sufficient permissions to deploy the cluster, the installation process stops, and the missing permissions are displayed. Optional: You can reduce the number of permissions for the service account that you used to install the cluster. If you assigned the Owner role to your service account, you can remove that role and replace it with the Viewer role. If you included the Service Account Key Admin role, you can remove it. Verification When the cluster deployment completes successfully: The terminal displays directions for accessing your cluster, including a link to the web console and credentials for the kubeadmin user. Credential information also outputs to <installation_directory>/.openshift_install.log . Important Do not delete the installation program or the files that the installation program creates. Both are required to delete the cluster. Example output ... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: "kubeadmin", and password: "password" INFO Time elapsed: 36m22s Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. 8.5.8. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.5.9. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin Additional resources See Accessing the web console for more details about accessing and understanding the OpenShift Container Platform web console. 8.5.10. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.5.11. steps Customize your cluster . If necessary, you can opt out of remote health reporting . 8.6. Installing a cluster on GCP with network customizations In OpenShift Container Platform version 4.11, you can install a cluster with a customized network configuration on infrastructure that the installation program provisions on Google Cloud Platform (GCP). By customizing your network configuration, your cluster can coexist with existing IP address allocations in your environment and integrate with existing MTU and VXLAN configurations. To customize the installation, you modify parameters in the install-config.yaml file before you install the cluster. You must set most of the network configuration parameters during installation, and you can modify only kubeProxy configuration parameters in a running cluster. 8.6.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . You configured a GCP project to host the cluster. If you use a firewall, you configured it to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . 8.6.2. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.6.3. Generating a key pair for cluster node SSH access During an OpenShift Container Platform installation, you can provide an SSH public key to the installation program. The key is passed to the Red Hat Enterprise Linux CoreOS (RHCOS) nodes through their Ignition config files and is used to authenticate SSH access to the nodes. The key is added to the ~/.ssh/authorized_keys list for the core user on each node, which enables password-less authentication. After the key is passed to the nodes, you can use the key pair to SSH in to the RHCOS nodes as the user core . To access the nodes through SSH, the private key identity must be managed by SSH for your local user. If you want to SSH in to your cluster nodes to perform installation debugging or disaster recovery, you must provide the SSH public key during the installation process. The ./openshift-install gather command also requires the SSH public key to be in place on the cluster nodes. Important Do not skip this procedure in production environments, where disaster recovery and debugging is required. Note You must use a local key, not one that you configured with platform-specific approaches such as AWS key pairs . Procedure If you do not have an existing SSH key pair on your local machine to use for authentication onto your cluster nodes, create one. For example, on a computer that uses a Linux operating system, run the following command: USD ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1 1 Specify the path and file name, such as ~/.ssh/id_ed25519 , of the new SSH key. If you have an existing key pair, ensure your public key is in the your ~/.ssh directory. Note If you plan to install an OpenShift Container Platform cluster that uses FIPS validated or Modules In Process cryptographic libraries on the x86_64 architecture, do not create a key that uses the ed25519 algorithm. Instead, create a key that uses the rsa or ecdsa algorithm. View the public SSH key: USD cat <path>/<file_name>.pub For example, run the following to view the ~/.ssh/id_ed25519.pub public key: USD cat ~/.ssh/id_ed25519.pub Add the SSH private key identity to the SSH agent for your local user, if it has not already been added. SSH agent management of the key is required for password-less SSH authentication onto your cluster nodes, or if you want to use the ./openshift-install gather command. Note On some distributions, default SSH private key identities such as ~/.ssh/id_rsa and ~/.ssh/id_dsa are managed automatically. If the ssh-agent process is not already running for your local user, start it as a background task: USD eval "USD(ssh-agent -s)" Example output Agent pid 31874 Note If your cluster is in FIPS mode, only use FIPS-compliant algorithms to generate the SSH key. The key must be either RSA or ECDSA. Add your SSH private key to the ssh-agent : USD ssh-add <path>/<file_name> 1 1 Specify the path and file name for your SSH private key, such as ~/.ssh/id_ed25519 Example output Identity added: /home/<you>/<path>/<file_name> (<computer_name>) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the full path to your service account private key file. USD export GOOGLE_APPLICATION_CREDENTIALS="<your_service_account_file>" Verify that the credentials were applied. USD gcloud auth list steps When you install OpenShift Container Platform, provide the SSH public key to the installation program. 8.6.4. Obtaining the installation program Before you install OpenShift Container Platform, download the installation file on a local computer. Prerequisites You have a computer that runs Linux or macOS, with 500 MB of local disk space. Procedure Access the Infrastructure Provider page on the OpenShift Cluster Manager site. If you have a Red Hat account, log in with your credentials. If you do not, create an account. Select your infrastructure provider. Navigate to the page for your installation type, download the installation program that corresponds with your host operating system and architecture, and place the file in the directory where you will store the installation configuration files. Important The installation program creates several files on the computer that you use to install your cluster. You must keep the installation program and the files that the installation program creates after you finish installing the cluster. Both files are required to delete the cluster. Important Deleting the files created by the installation program does not remove your cluster, even if the cluster failed during installation. To remove your cluster, complete the OpenShift Container Platform uninstallation procedures for your specific cloud provider. Extract the installation program. For example, on a computer that uses a Linux operating system, run the following command: USD tar -xvf openshift-install-linux.tar.gz Download your installation pull secret from the Red Hat OpenShift Cluster Manager . This pull secret allows you to authenticate with the services that are provided by the included authorities, including Quay.io, which serves the container images for OpenShift Container Platform components. 8.6.5. Creating the installation configuration file You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP). Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Obtain service principal permissions at the subscription level. Procedure Create the install-config.yaml file. Change to the directory that contains the installation program and run the following command: USD ./openshift-install create install-config --dir <installation_directory> 1 1 For <installation_directory> , specify the directory name to store the files that the installation program creates. When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. At the prompts, provide the configuration details for your cloud: Optional: Select an SSH key to use to access your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Select gcp as the platform to target. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. Paste the pull secret from the Red Hat OpenShift Cluster Manager . Modify the install-config.yaml file. You can find more information about the available parameters in the "Installation configuration parameters" section. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now. 8.6.5.1. Installation configuration parameters Before you deploy an OpenShift Container Platform cluster, you provide parameter values to describe your account on the cloud platform that hosts your cluster and optionally customize your cluster's platform. When you create the install-config.yaml installation configuration file, you provide values for the required parameters through the command line. If you customize your cluster, you can modify the install-config.yaml file to provide more details about the platform. Note After installation, you cannot modify these parameters in the install-config.yaml file. 8.6.5.1.1. Required configuration parameters Required installation configuration parameters are described in the following table: Table 8.10. Required parameters Parameter Description Values apiVersion The API version for the install-config.yaml content. The current version is v1 . The installer may also support older API versions. String baseDomain The base domain of your cloud provider. The base domain is used to create routes to your OpenShift Container Platform cluster components. The full DNS name for your cluster is a combination of the baseDomain and metadata.name parameter values that uses the <metadata.name>.<baseDomain> format. A fully-qualified domain or subdomain name, such as example.com . metadata Kubernetes resource ObjectMeta , from which only the name parameter is consumed. Object metadata.name The name of the cluster. DNS records for the cluster are all subdomains of {{.metadata.name}}.{{.baseDomain}} . String of lowercase letters, hyphens ( - ), and periods ( . ), such as dev . platform The configuration for the specific platform upon which to perform the installation: alibabacloud , aws , baremetal , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} . For additional information about platform.<platform> parameters, consult the table for your specific platform that follows. Object pullSecret Get a pull secret from the Red Hat OpenShift Cluster Manager to authenticate downloading container images for OpenShift Container Platform components from services such as Quay.io. { "auths":{ "cloud.openshift.com":{ "auth":"b3Blb=", "email":"[email protected]" }, "quay.io":{ "auth":"b3Blb=", "email":"[email protected]" } } } 8.6.5.1.2. Network configuration parameters You can customize your installation configuration based on the requirements of your existing network infrastructure. For example, you can expand the IP address block for the cluster network or provide different IP address blocks than the defaults. Only IPv4 addresses are supported. Note Globalnet is not supported with Red Hat OpenShift Data Foundation disaster recovery solutions. For regional disaster recovery scenarios, ensure that you use a nonoverlapping range of private IP addresses for the cluster and service networks in each cluster. Table 8.11. Network parameters Parameter Description Values networking The configuration for the cluster network. Object Note You cannot modify parameters specified by the networking object after installation. networking.networkType The cluster network provider Container Network Interface (CNI) cluster network provider to install. Either OpenShiftSDN or OVNKubernetes . OpenShiftSDN is a CNI provider for all-Linux networks. OVNKubernetes is a CNI provider for Linux networks and hybrid networks that contain both Linux and Windows servers. The default value is OpenShiftSDN . networking.clusterNetwork The IP address blocks for pods. The default value is 10.128.0.0/14 with a host prefix of /23 . If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 networking.clusterNetwork.cidr Required if you use networking.clusterNetwork . An IP address block. An IPv4 network. An IP address block in Classless Inter-Domain Routing (CIDR) notation. The prefix length for an IPv4 block is between 0 and 32 . networking.clusterNetwork.hostPrefix The subnet prefix length to assign to each individual node. For example, if hostPrefix is set to 23 then each node is assigned a /23 subnet out of the given cidr . A hostPrefix value of 23 provides 510 (2^(32 - 23) - 2) pod IP addresses. A subnet prefix. The default value is 23 . networking.serviceNetwork The IP address block for services. The default value is 172.30.0.0/16 . The OpenShift SDN and OVN-Kubernetes network providers support only a single IP address block for the service network. An array with an IP address block in CIDR format. For example: networking: serviceNetwork: - 172.30.0.0/16 networking.machineNetwork The IP address blocks for machines. If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: machineNetwork: - cidr: 10.0.0.0/16 networking.machineNetwork.cidr Required if you use networking.machineNetwork . An IP address block. The default value is 10.0.0.0/16 for all platforms other than libvirt. For libvirt, the default value is 192.168.126.0/24 . An IP network block in CIDR notation. For example, 10.0.0.0/16 . Note Set the networking.machineNetwork to match the CIDR that the preferred NIC resides in. 8.6.5.1.3. Optional configuration parameters Optional installation configuration parameters are described in the following table: Table 8.12. Optional parameters Parameter Description Values additionalTrustBundle A PEM-encoded X.509 certificate bundle that is added to the nodes' trusted certificate store. This trust bundle may also be used when a proxy has been configured. String capabilities Controls the installation of optional core cluster components. You can reduce the footprint of your OpenShift Container Platform cluster by disabling optional components. String array capabilities.baselineCapabilitySet Selects an initial set of optional capabilities to enable. Valid values are None , v4.11 and vCurrent . v4.11 enables the baremetal Operator, the marketplace Operator, and the openshift-samples content. vCurrent installs the recommended set of capabilities for the current version of OpenShift Container Platform. The default value is vCurrent . String capabilities.additionalEnabledCapabilities Extends the set of optional capabilities beyond what you specify in baselineCapabilitySet . Valid values are baremetal , marketplace and openshift-samples . You may specify multiple capabilities in this parameter. String array cgroupsV2 Enables Linux control groups version 2 (cgroups v2) on specific nodes in your cluster. The OpenShift Container Platform process for enabling cgroups v2 disables all cgroup version 1 controllers and hierarchies. The OpenShift Container Platform cgroups version 2 feature is in Developer Preview and is not supported by Red Hat at this time. true compute The configuration for the machines that comprise the compute nodes. Array of MachinePool objects. compute.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String compute.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on compute machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled compute.name Required if you use compute . The name of the machine pool. worker compute.platform Required if you use compute . Use this parameter to specify the cloud provider to host the worker machines. This parameter value must match the controlPlane.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} compute.replicas The number of compute machines, which are also known as worker machines, to provision. A positive integer greater than or equal to 2 . The default value is 3 . controlPlane The configuration for the machines that comprise the control plane. Array of MachinePool objects. controlPlane.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String controlPlane.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on control plane machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled controlPlane.name Required if you use controlPlane . The name of the machine pool. master controlPlane.platform Required if you use controlPlane . Use this parameter to specify the cloud provider that hosts the control plane machines. This parameter value must match the compute.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} controlPlane.replicas The number of control plane machines to provision. The only supported value is 3 , which is the default value. credentialsMode The Cloud Credential Operator (CCO) mode. If no mode is specified, the CCO dynamically tries to determine the capabilities of the provided credentials, with a preference for mint mode on the platforms where multiple modes are supported. If you are installing on GCP into a shared virtual private cloud (VPC), credentialsMode must be set to Passthrough . Note Not all CCO modes are supported for all cloud providers. For more information on CCO modes, see the Cloud Credential Operator entry in the Cluster Operators reference content. Note If your AWS account has service control policies (SCP) enabled, you must configure the credentialsMode parameter to Mint , Passthrough or Manual . Mint , Passthrough , Manual or an empty string ( "" ). fips Enable or disable FIPS mode. The default is false (disabled). If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. Note If you are using Azure File storage, you cannot enable FIPS mode. false or true imageContentSources Sources and repositories for the release-image content. Array of objects. Includes a source and, optionally, mirrors , as described in the following rows of this table. imageContentSources.source Required if you use imageContentSources . Specify the repository that users refer to, for example, in image pull specifications. String imageContentSources.mirrors Specify one or more repositories that may also contain the same images. Array of strings publish How to publish or expose the user-facing endpoints of your cluster, such as the Kubernetes API, OpenShift routes. Internal or External . To deploy a private cluster, which cannot be accessed from the internet, set publish to Internal . The default value is External . sshKey The SSH key to authenticate access to your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. For example, sshKey: ssh-ed25519 AAAA.. . 8.6.5.1.4. Additional Google Cloud Platform (GCP) configuration parameters Additional GCP configuration parameters are described in the following table: Table 8.13. Additional GCP parameters Parameter Description Values platform.gcp.network The name of the existing VPC that you want to deploy your cluster to. String. platform.gcp.projectID The name of the GCP project where the installation program installs the cluster. String. platform.gcp.region The name of the GCP region that hosts your cluster. Any valid region name, such as us-central1 . platform.gcp.controlPlaneSubnet The name of the existing subnet in your VPC that you want to deploy your control plane machines to. The subnet name. platform.gcp.computeSubnet The name of the existing subnet in your VPC that you want to deploy your compute machines to. The subnet name. platform.gcp.licenses A list of license URLs that must be applied to the compute images. Important The licenses parameter is a deprecated field and nested virtualization is enabled by default. It is not recommended to use this field. Any license available with the license API , such as the license to enable nested virtualization . You cannot use this parameter with a mechanism that generates pre-built images. Using a license URL forces the installer to copy the source image before use. platform.gcp.defaultMachinePlatform.osDisk.diskSizeGB The size of the disk in gigabytes (GB). Any size between 16 GB and 65536 GB. platform.gcp.defaultMachinePlatform.osDisk.diskType The type of disk. Either the default pd-ssd or the pd-standard disk type. The control plane nodes must be the pd-ssd disk type. The worker nodes can be either type. platform.gcp.defaultMachinePlatform.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot control plane and compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for both types of machines. String. The name of GCP project where the image is located. platform.gcp.defaultMachinePlatform.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane and compute machines. If you use platform.gcp.defaultMachinePlatform.osImage.project , this field is required. String. The name of the RHCOS image. platform.gcp.defaultMachinePlatform.type The GCP machine type . The GCP machine type. platform.gcp.defaultMachinePlatform.zones The availability zones where the installation program creates machines for the specified MachinePool. A list of valid GCP availability zones , such as us-central1-a , in a YAML sequence . controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for control plane machine disk encryption. The encryption key name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For control plane machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.location For control plane machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For control plane machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. controlPlane.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the Red Hat Enterprise Linux CoreOS (RHCOS) image that is used to boot control plane machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for control plane machines only. String. The name of GCP project where the image is located. controlPlane.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane machines. If you use controlPlane.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. compute.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for compute machine disk encryption. The encryption key name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For compute machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.location For compute machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. compute.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For compute machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. compute.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for compute machines only. String. The name of GCP project where the image is located. compute.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot compute machines. If you use compute.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. 8.6.5.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.14. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. Additional resources Optimizing storage 8.6.5.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.22. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.6.5.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . As part of the installation process, you specify the custom machine type in the install-config.yaml file. Sample install-config.yaml file with a custom machine type compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3 8.6.5.5. Sample customized install-config.yaml file for GCP You can customize the install-config.yaml file to specify more details about your OpenShift Container Platform cluster's platform or modify the values of the required parameters. Important This sample YAML file is provided for reference only. You must obtain your install-config.yaml file by using the installation program and modify it. apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: 13 clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 14 region: us-central1 15 defaultMachinePlatform: osImage: 16 project: example-project-name name: example-image-name pullSecret: '{"auths": ...}' 17 fips: false 18 sshKey: ssh-ed25519 AAAA... 19 1 12 14 15 17 Required. The installation program prompts you for this value. 2 7 13 If you do not provide these parameters and values, the installation program provides the default value. 3 8 The controlPlane section is a single mapping, but the compute section is a sequence of mappings. To meet the requirements of the different data structures, the first line of the compute section must begin with a hyphen, - , and the first line of the controlPlane section must not. Only one control plane pool is used. 4 9 Whether to enable or disable simultaneous multithreading, or hyperthreading . By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. You can disable it by setting the parameter value to Disabled . If you disable simultaneous multithreading in some cluster machines, you must disable it in all cluster machines. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Use larger machine types, such as n1-standard-8 , for your machines if you disable simultaneous multithreading. 5 10 Optional: The custom encryption key section to encrypt both virtual machines and persistent volumes. Your default compute service account must have the permissions granted to use your KMS key and have the correct IAM role assigned. The default service account name follows the service-<project_number>@compute-system.iam.gserviceaccount.com pattern. For more information on granting the correct permissions for your service account, see "Machine management" "Creating machine sets" "Creating a machine set on GCP". 6 11 16 Optional: A custom Red Hat Enterprise Linux CoreOS (RHCOS) image for the installation program to use to boot control plane and compute machines. The project and name parameters under platform.gcp.defaultMachinePlatform.osImage apply to both control plane and compute machines. If the project and name parameters under controlPlane.platform.gcp.osImage or compute.platform.gcp.osImage are set, they override the platform.gcp.defaultMachinePlatform.osImage parameters. 18 Whether to enable or disable FIPS mode. By default, FIPS mode is not enabled. If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. 19 You can optionally provide the sshKey value that you use to access the machines in your cluster. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. 8.6.6. Additional resources Enabling customer-managed encryption keys for a machine set 8.6.6.1. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.6.7. Network configuration phases There are two phases prior to OpenShift Container Platform installation where you can customize the network configuration. Phase 1 You can customize the following network-related fields in the install-config.yaml file before you create the manifest files: networking.networkType networking.clusterNetwork networking.serviceNetwork networking.machineNetwork For more information on these fields, refer to Installation configuration parameters . Note Set the networking.machineNetwork to match the CIDR that the preferred NIC resides in. Important The CIDR range 172.17.0.0/16 is reserved by libVirt. You cannot use this range or any range that overlaps with this range for any networks in your cluster. Phase 2 After creating the manifest files by running openshift-install create manifests , you can define a customized Cluster Network Operator manifest with only the fields you want to modify. You can use the manifest to specify advanced network configuration. You cannot override the values specified in phase 1 in the install-config.yaml file during phase 2. However, you can further customize the cluster network provider during phase 2. 8.6.8. Specifying advanced network configuration You can use advanced network configuration for your cluster network provider to integrate your cluster into your existing network environment. You can specify advanced network configuration only before you install the cluster. Important Customizing your network configuration by modifying the OpenShift Container Platform manifest files created by the installation program is not supported. Applying a manifest file that you create, as in the following procedure, is supported. Prerequisites You have created the install-config.yaml file and completed any modifications to it. Procedure Change to the directory that contains the installation program and create the manifests: USD ./openshift-install create manifests --dir <installation_directory> 1 1 <installation_directory> specifies the name of the directory that contains the install-config.yaml file for your cluster. Create a stub manifest file for the advanced network configuration that is named cluster-network-03-config.yml in the <installation_directory>/manifests/ directory: apiVersion: operator.openshift.io/v1 kind: Network metadata: name: cluster spec: Specify the advanced network configuration for your cluster in the cluster-network-03-config.yml file, such as in the following examples: Specify a different VXLAN port for the OpenShift SDN network provider apiVersion: operator.openshift.io/v1 kind: Network metadata: name: cluster spec: defaultNetwork: openshiftSDNConfig: vxlanPort: 4800 Enable IPsec for the OVN-Kubernetes network provider apiVersion: operator.openshift.io/v1 kind: Network metadata: name: cluster spec: defaultNetwork: ovnKubernetesConfig: ipsecConfig: {} Optional: Back up the manifests/cluster-network-03-config.yml file. The installation program consumes the manifests/ directory when you create the Ignition config files. 8.6.9. Cluster Network Operator configuration The configuration for the cluster network is specified as part of the Cluster Network Operator (CNO) configuration and stored in a custom resource (CR) object that is named cluster . The CR specifies the fields for the Network API in the operator.openshift.io API group. The CNO configuration inherits the following fields during cluster installation from the Network API in the Network.config.openshift.io API group and these fields cannot be changed: clusterNetwork IP address pools from which pod IP addresses are allocated. serviceNetwork IP address pool for services. defaultNetwork.type Cluster network provider, such as OpenShift SDN or OVN-Kubernetes. You can specify the cluster network provider configuration for your cluster by setting the fields for the defaultNetwork object in the CNO object named cluster . 8.6.9.1. Cluster Network Operator configuration object The fields for the Cluster Network Operator (CNO) are described in the following table: Table 8.15. Cluster Network Operator configuration object Field Type Description metadata.name string The name of the CNO object. This name is always cluster . spec.clusterNetwork array A list specifying the blocks of IP addresses from which pod IP addresses are allocated and the subnet prefix length assigned to each individual node in the cluster. For example: spec: clusterNetwork: - cidr: 10.128.0.0/19 hostPrefix: 23 - cidr: 10.128.32.0/19 hostPrefix: 23 You can customize this field only in the install-config.yaml file before you create the manifests. The value is read-only in the manifest file. spec.serviceNetwork array A block of IP addresses for services. The OpenShift SDN and OVN-Kubernetes Container Network Interface (CNI) network providers support only a single IP address block for the service network. For example: spec: serviceNetwork: - 172.30.0.0/14 You can customize this field only in the install-config.yaml file before you create the manifests. The value is read-only in the manifest file. spec.defaultNetwork object Configures the Container Network Interface (CNI) cluster network provider for the cluster network. spec.kubeProxyConfig object The fields for this object specify the kube-proxy configuration. If you are using the OVN-Kubernetes cluster network provider, the kube-proxy configuration has no effect. defaultNetwork object configuration The values for the defaultNetwork object are defined in the following table: Table 8.16. defaultNetwork object Field Type Description type string Either OpenShiftSDN or OVNKubernetes . The cluster network provider is selected during installation. This value cannot be changed after cluster installation. Note OpenShift Container Platform uses the OpenShift SDN Container Network Interface (CNI) cluster network provider by default. openshiftSDNConfig object This object is only valid for the OpenShift SDN cluster network provider. ovnKubernetesConfig object This object is only valid for the OVN-Kubernetes cluster network provider. Configuration for the OpenShift SDN CNI cluster network provider The following table describes the configuration fields for the OpenShift SDN Container Network Interface (CNI) cluster network provider. Table 8.17. openshiftSDNConfig object Field Type Description mode string Configures the network isolation mode for OpenShift SDN. The default value is NetworkPolicy . The values Multitenant and Subnet are available for backwards compatibility with OpenShift Container Platform 3.x but are not recommended. This value cannot be changed after cluster installation. mtu integer The maximum transmission unit (MTU) for the VXLAN overlay network. This is detected automatically based on the MTU of the primary network interface. You do not normally need to override the detected MTU. If the auto-detected value is not what you expect it to be, confirm that the MTU on the primary network interface on your nodes is correct. You cannot use this option to change the MTU value of the primary network interface on the nodes. If your cluster requires different MTU values for different nodes, you must set this value to 50 less than the lowest MTU value in your cluster. For example, if some nodes in your cluster have an MTU of 9001 , and some have an MTU of 1500 , you must set this value to 1450 . This value cannot be changed after cluster installation. vxlanPort integer The port to use for all VXLAN packets. The default value is 4789 . This value cannot be changed after cluster installation. If you are running in a virtualized environment with existing nodes that are part of another VXLAN network, then you might be required to change this. For example, when running an OpenShift SDN overlay on top of VMware NSX-T, you must select an alternate port for the VXLAN, because both SDNs use the same default VXLAN port number. On Amazon Web Services (AWS), you can select an alternate port for the VXLAN between port 9000 and port 9999 . Example OpenShift SDN configuration defaultNetwork: type: OpenShiftSDN openshiftSDNConfig: mode: NetworkPolicy mtu: 1450 vxlanPort: 4789 Configuration for the OVN-Kubernetes CNI cluster network provider The following table describes the configuration fields for the OVN-Kubernetes CNI cluster network provider. Table 8.18. ovnKubernetesConfig object Field Type Description mtu integer The maximum transmission unit (MTU) for the Geneve (Generic Network Virtualization Encapsulation) overlay network. This is detected automatically based on the MTU of the primary network interface. You do not normally need to override the detected MTU. If the auto-detected value is not what you expect it to be, confirm that the MTU on the primary network interface on your nodes is correct. You cannot use this option to change the MTU value of the primary network interface on the nodes. If your cluster requires different MTU values for different nodes, you must set this value to 100 less than the lowest MTU value in your cluster. For example, if some nodes in your cluster have an MTU of 9001 , and some have an MTU of 1500 , you must set this value to 1400 . genevePort integer The port to use for all Geneve packets. The default value is 6081 . This value cannot be changed after cluster installation. ipsecConfig object Specify an empty object to enable IPsec encryption. policyAuditConfig object Specify a configuration object for customizing network policy audit logging. If unset, the defaults audit log settings are used. gatewayConfig object Optional: Specify a configuration object for customizing how egress traffic is sent to the node gateway. Note While migrating egress traffic, you can expect some disruption to workloads and service traffic until the Cluster Network Operator (CNO) successfully rolls out the changes. Table 8.19. policyAuditConfig object Field Type Description rateLimit integer The maximum number of messages to generate every second per node. The default value is 20 messages per second. maxFileSize integer The maximum size for the audit log in bytes. The default value is 50000000 or 50 MB. destination string One of the following additional audit log targets: libc The libc syslog() function of the journald process on the host. udp:<host>:<port> A syslog server. Replace <host>:<port> with the host and port of the syslog server. unix:<file> A Unix Domain Socket file specified by <file> . null Do not send the audit logs to any additional target. syslogFacility string The syslog facility, such as kern , as defined by RFC5424. The default value is local0 . Table 8.20. gatewayConfig object Field Type Description routingViaHost boolean Set this field to true to send egress traffic from pods to the host networking stack. For highly-specialized installations and applications that rely on manually configured routes in the kernel routing table, you might want to route egress traffic to the host networking stack. By default, egress traffic is processed in OVN to exit the cluster and is not affected by specialized routes in the kernel routing table. The default value is false . This field has an interaction with the Open vSwitch hardware offloading feature. If you set this field to true , you do not receive the performance benefits of the offloading because egress traffic is processed by the host networking stack. Example OVN-Kubernetes configuration with IPSec enabled defaultNetwork: type: OVNKubernetes ovnKubernetesConfig: mtu: 1400 genevePort: 6081 ipsecConfig: {} kubeProxyConfig object configuration The values for the kubeProxyConfig object are defined in the following table: Table 8.21. kubeProxyConfig object Field Type Description iptablesSyncPeriod string The refresh period for iptables rules. The default value is 30s . Valid suffixes include s , m , and h and are described in the Go time package documentation. Note Because of performance improvements introduced in OpenShift Container Platform 4.3 and greater, adjusting the iptablesSyncPeriod parameter is no longer necessary. proxyArguments.iptables-min-sync-period array The minimum duration before refreshing iptables rules. This field ensures that the refresh does not happen too frequently. Valid suffixes include s , m , and h and are described in the Go time package . The default value is: kubeProxyConfig: proxyArguments: iptables-min-sync-period: - 0s 8.6.10. Deploying the cluster You can install OpenShift Container Platform on a compatible cloud platform. Important You can run the create cluster command of the installation program only once, during initial installation. Prerequisites Configure an account with the cloud platform that hosts your cluster. Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Remove any existing GCP credentials that do not use the service account key for the GCP account that you configured for your cluster and that are stored in the following locations: The GOOGLE_CREDENTIALS , GOOGLE_CLOUD_KEYFILE_JSON , or GCLOUD_KEYFILE_JSON environment variables The ~/.gcp/osServiceAccount.json file The gcloud cli default credentials Change to the directory that contains the installation program and initialize the cluster deployment: USD ./openshift-install create cluster --dir <installation_directory> \ 1 --log-level=info 2 1 For <installation_directory> , specify the location of your customized ./install-config.yaml file. 2 To view different installation details, specify warn , debug , or error instead of info . Note If the cloud provider account that you configured on your host does not have sufficient permissions to deploy the cluster, the installation process stops, and the missing permissions are displayed. Optional: You can reduce the number of permissions for the service account that you used to install the cluster. If you assigned the Owner role to your service account, you can remove that role and replace it with the Viewer role. If you included the Service Account Key Admin role, you can remove it. Verification When the cluster deployment completes successfully: The terminal displays directions for accessing your cluster, including a link to the web console and credentials for the kubeadmin user. Credential information also outputs to <installation_directory>/.openshift_install.log . Important Do not delete the installation program or the files that the installation program creates. Both are required to delete the cluster. Example output ... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: "kubeadmin", and password: "password" INFO Time elapsed: 36m22s Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. 8.6.11. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.6.12. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin Additional resources See Accessing the web console for more details about accessing and understanding the OpenShift Container Platform web console. 8.6.13. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.6.14. steps Customize your cluster . If necessary, you can opt out of remote health reporting . 8.7. Installing a cluster on GCP in a restricted network In OpenShift Container Platform 4.11, you can install a cluster on Google Cloud Platform (GCP) in a restricted network by creating an internal mirror of the installation release content on an existing Google Virtual Private Cloud (VPC). Important You can install an OpenShift Container Platform cluster by using mirrored installation release content, but your cluster will require internet access to use the GCP APIs. 8.7.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . You configured a GCP project to host the cluster. You mirrored the images for a disconnected installation to your registry and obtained the imageContentSources data for your version of OpenShift Container Platform. Important Because the installation media is on the mirror host, you can use that computer to complete all installation steps. You have an existing VPC in GCP. While installing a cluster in a restricted network that uses installer-provisioned infrastructure, you cannot use the installer-provisioned VPC. You must use a user-provisioned VPC that satisfies one of the following requirements: Contains the mirror registry Has firewall rules or a peering connection to access the mirror registry hosted elsewhere If you use a firewall, you configured it to allow the sites that your cluster requires access to. While you might need to grant access to more sites, you must grant access to *.googleapis.com and accounts.google.com . If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . 8.7.2. About installations in restricted networks In OpenShift Container Platform 4.11, you can perform an installation that does not require an active connection to the internet to obtain software components. Restricted network installations can be completed using installer-provisioned infrastructure or user-provisioned infrastructure, depending on the cloud platform to which you are installing the cluster. If you choose to perform a restricted network installation on a cloud platform, you still require access to its cloud APIs. Some cloud functions, like Amazon Web Service's Route 53 DNS and IAM services, require internet access. Depending on your network, you might require less internet access for an installation on bare metal hardware or on VMware vSphere. To complete a restricted network installation, you must create a registry that mirrors the contents of the OpenShift image registry and contains the installation media. You can create this registry on a mirror host, which can access both the internet and your closed network, or by using other methods that meet your restrictions. 8.7.2.1. Additional limits Clusters in restricted networks have the following additional limitations and restrictions: The ClusterVersion status includes an Unable to retrieve available updates error. By default, you cannot use the contents of the Developer Catalog because you cannot access the required image stream tags. 8.7.3. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to obtain the images that are necessary to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.7.4. Generating a key pair for cluster node SSH access During an OpenShift Container Platform installation, you can provide an SSH public key to the installation program. The key is passed to the Red Hat Enterprise Linux CoreOS (RHCOS) nodes through their Ignition config files and is used to authenticate SSH access to the nodes. The key is added to the ~/.ssh/authorized_keys list for the core user on each node, which enables password-less authentication. After the key is passed to the nodes, you can use the key pair to SSH in to the RHCOS nodes as the user core . To access the nodes through SSH, the private key identity must be managed by SSH for your local user. If you want to SSH in to your cluster nodes to perform installation debugging or disaster recovery, you must provide the SSH public key during the installation process. The ./openshift-install gather command also requires the SSH public key to be in place on the cluster nodes. Important Do not skip this procedure in production environments, where disaster recovery and debugging is required. Note You must use a local key, not one that you configured with platform-specific approaches such as AWS key pairs . Procedure If you do not have an existing SSH key pair on your local machine to use for authentication onto your cluster nodes, create one. For example, on a computer that uses a Linux operating system, run the following command: USD ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1 1 Specify the path and file name, such as ~/.ssh/id_ed25519 , of the new SSH key. If you have an existing key pair, ensure your public key is in the your ~/.ssh directory. Note If you plan to install an OpenShift Container Platform cluster that uses FIPS validated or Modules In Process cryptographic libraries on the x86_64 architecture, do not create a key that uses the ed25519 algorithm. Instead, create a key that uses the rsa or ecdsa algorithm. View the public SSH key: USD cat <path>/<file_name>.pub For example, run the following to view the ~/.ssh/id_ed25519.pub public key: USD cat ~/.ssh/id_ed25519.pub Add the SSH private key identity to the SSH agent for your local user, if it has not already been added. SSH agent management of the key is required for password-less SSH authentication onto your cluster nodes, or if you want to use the ./openshift-install gather command. Note On some distributions, default SSH private key identities such as ~/.ssh/id_rsa and ~/.ssh/id_dsa are managed automatically. If the ssh-agent process is not already running for your local user, start it as a background task: USD eval "USD(ssh-agent -s)" Example output Agent pid 31874 Note If your cluster is in FIPS mode, only use FIPS-compliant algorithms to generate the SSH key. The key must be either RSA or ECDSA. Add your SSH private key to the ssh-agent : USD ssh-add <path>/<file_name> 1 1 Specify the path and file name for your SSH private key, such as ~/.ssh/id_ed25519 Example output Identity added: /home/<you>/<path>/<file_name> (<computer_name>) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the full path to your service account private key file. USD export GOOGLE_APPLICATION_CREDENTIALS="<your_service_account_file>" Verify that the credentials were applied. USD gcloud auth list steps When you install OpenShift Container Platform, provide the SSH public key to the installation program. 8.7.5. Creating the installation configuration file You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP). Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. For a restricted network installation, these files are on your mirror host. Have the imageContentSources values that were generated during mirror registry creation. Obtain the contents of the certificate for your mirror registry. Obtain service principal permissions at the subscription level. Procedure Create the install-config.yaml file. Change to the directory that contains the installation program and run the following command: USD ./openshift-install create install-config --dir <installation_directory> 1 1 For <installation_directory> , specify the directory name to store the files that the installation program creates. When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. At the prompts, provide the configuration details for your cloud: Optional: Select an SSH key to use to access your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Select gcp as the platform to target. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. Paste the pull secret from the Red Hat OpenShift Cluster Manager . Edit the install-config.yaml file to give the additional information that is required for an installation in a restricted network. Update the pullSecret value to contain the authentication information for your registry: pullSecret: '{"auths":{"<mirror_host_name>:5000": {"auth": "<credentials>","email": "[email protected]"}}}' For <mirror_host_name> , specify the registry domain name that you specified in the certificate for your mirror registry, and for <credentials> , specify the base64-encoded user name and password for your mirror registry. Add the additionalTrustBundle parameter and value. additionalTrustBundle: | -----BEGIN CERTIFICATE----- ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ -----END CERTIFICATE----- The value must be the contents of the certificate file that you used for your mirror registry. The certificate file can be an existing, trusted certificate authority, or the self-signed certificate that you generated for the mirror registry. Define the network and subnets for the VPC to install the cluster in under the parent platform.gcp field: network: <existing_vpc> controlPlaneSubnet: <control_plane_subnet> computeSubnet: <compute_subnet> For platform.gcp.network , specify the name for the existing Google VPC. For platform.gcp.controlPlaneSubnet and platform.gcp.computeSubnet , specify the existing subnets to deploy the control plane machines and compute machines, respectively. Add the image content resources, which resemble the following YAML excerpt: imageContentSources: - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: quay.io/openshift-release-dev/ocp-release - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: registry.redhat.io/ocp/release For these values, use the imageContentSources that you recorded during mirror registry creation. Make any other modifications to the install-config.yaml file that you require. You can find more information about the available parameters in the Installation configuration parameters section. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now. 8.7.5.1. Installation configuration parameters Before you deploy an OpenShift Container Platform cluster, you provide parameter values to describe your account on the cloud platform that hosts your cluster and optionally customize your cluster's platform. When you create the install-config.yaml installation configuration file, you provide values for the required parameters through the command line. If you customize your cluster, you can modify the install-config.yaml file to provide more details about the platform. Note After installation, you cannot modify these parameters in the install-config.yaml file. 8.7.5.1.1. Required configuration parameters Required installation configuration parameters are described in the following table: Table 8.22. Required parameters Parameter Description Values apiVersion The API version for the install-config.yaml content. The current version is v1 . The installer may also support older API versions. String baseDomain The base domain of your cloud provider. The base domain is used to create routes to your OpenShift Container Platform cluster components. The full DNS name for your cluster is a combination of the baseDomain and metadata.name parameter values that uses the <metadata.name>.<baseDomain> format. A fully-qualified domain or subdomain name, such as example.com . metadata Kubernetes resource ObjectMeta , from which only the name parameter is consumed. Object metadata.name The name of the cluster. DNS records for the cluster are all subdomains of {{.metadata.name}}.{{.baseDomain}} . String of lowercase letters, hyphens ( - ), and periods ( . ), such as dev . platform The configuration for the specific platform upon which to perform the installation: alibabacloud , aws , baremetal , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} . For additional information about platform.<platform> parameters, consult the table for your specific platform that follows. Object pullSecret Get a pull secret from the Red Hat OpenShift Cluster Manager to authenticate downloading container images for OpenShift Container Platform components from services such as Quay.io. { "auths":{ "cloud.openshift.com":{ "auth":"b3Blb=", "email":"[email protected]" }, "quay.io":{ "auth":"b3Blb=", "email":"[email protected]" } } } 8.7.5.1.2. Network configuration parameters You can customize your installation configuration based on the requirements of your existing network infrastructure. For example, you can expand the IP address block for the cluster network or provide different IP address blocks than the defaults. Only IPv4 addresses are supported. Note Globalnet is not supported with Red Hat OpenShift Data Foundation disaster recovery solutions. For regional disaster recovery scenarios, ensure that you use a nonoverlapping range of private IP addresses for the cluster and service networks in each cluster. Table 8.23. Network parameters Parameter Description Values networking The configuration for the cluster network. Object Note You cannot modify parameters specified by the networking object after installation. networking.networkType The cluster network provider Container Network Interface (CNI) cluster network provider to install. Either OpenShiftSDN or OVNKubernetes . OpenShiftSDN is a CNI provider for all-Linux networks. OVNKubernetes is a CNI provider for Linux networks and hybrid networks that contain both Linux and Windows servers. The default value is OpenShiftSDN . networking.clusterNetwork The IP address blocks for pods. The default value is 10.128.0.0/14 with a host prefix of /23 . If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 networking.clusterNetwork.cidr Required if you use networking.clusterNetwork . An IP address block. An IPv4 network. An IP address block in Classless Inter-Domain Routing (CIDR) notation. The prefix length for an IPv4 block is between 0 and 32 . networking.clusterNetwork.hostPrefix The subnet prefix length to assign to each individual node. For example, if hostPrefix is set to 23 then each node is assigned a /23 subnet out of the given cidr . A hostPrefix value of 23 provides 510 (2^(32 - 23) - 2) pod IP addresses. A subnet prefix. The default value is 23 . networking.serviceNetwork The IP address block for services. The default value is 172.30.0.0/16 . The OpenShift SDN and OVN-Kubernetes network providers support only a single IP address block for the service network. An array with an IP address block in CIDR format. For example: networking: serviceNetwork: - 172.30.0.0/16 networking.machineNetwork The IP address blocks for machines. If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: machineNetwork: - cidr: 10.0.0.0/16 networking.machineNetwork.cidr Required if you use networking.machineNetwork . An IP address block. The default value is 10.0.0.0/16 for all platforms other than libvirt. For libvirt, the default value is 192.168.126.0/24 . An IP network block in CIDR notation. For example, 10.0.0.0/16 . Note Set the networking.machineNetwork to match the CIDR that the preferred NIC resides in. 8.7.5.1.3. Optional configuration parameters Optional installation configuration parameters are described in the following table: Table 8.24. Optional parameters Parameter Description Values additionalTrustBundle A PEM-encoded X.509 certificate bundle that is added to the nodes' trusted certificate store. This trust bundle may also be used when a proxy has been configured. String capabilities Controls the installation of optional core cluster components. You can reduce the footprint of your OpenShift Container Platform cluster by disabling optional components. String array capabilities.baselineCapabilitySet Selects an initial set of optional capabilities to enable. Valid values are None , v4.11 and vCurrent . v4.11 enables the baremetal Operator, the marketplace Operator, and the openshift-samples content. vCurrent installs the recommended set of capabilities for the current version of OpenShift Container Platform. The default value is vCurrent . String capabilities.additionalEnabledCapabilities Extends the set of optional capabilities beyond what you specify in baselineCapabilitySet . Valid values are baremetal , marketplace and openshift-samples . You may specify multiple capabilities in this parameter. String array cgroupsV2 Enables Linux control groups version 2 (cgroups v2) on specific nodes in your cluster. The OpenShift Container Platform process for enabling cgroups v2 disables all cgroup version 1 controllers and hierarchies. The OpenShift Container Platform cgroups version 2 feature is in Developer Preview and is not supported by Red Hat at this time. true compute The configuration for the machines that comprise the compute nodes. Array of MachinePool objects. compute.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String compute.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on compute machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled compute.name Required if you use compute . The name of the machine pool. worker compute.platform Required if you use compute . Use this parameter to specify the cloud provider to host the worker machines. This parameter value must match the controlPlane.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} compute.replicas The number of compute machines, which are also known as worker machines, to provision. A positive integer greater than or equal to 2 . The default value is 3 . controlPlane The configuration for the machines that comprise the control plane. Array of MachinePool objects. controlPlane.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String controlPlane.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on control plane machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled controlPlane.name Required if you use controlPlane . The name of the machine pool. master controlPlane.platform Required if you use controlPlane . Use this parameter to specify the cloud provider that hosts the control plane machines. This parameter value must match the compute.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} controlPlane.replicas The number of control plane machines to provision. The only supported value is 3 , which is the default value. credentialsMode The Cloud Credential Operator (CCO) mode. If no mode is specified, the CCO dynamically tries to determine the capabilities of the provided credentials, with a preference for mint mode on the platforms where multiple modes are supported. If you are installing on GCP into a shared virtual private cloud (VPC), credentialsMode must be set to Passthrough . Note Not all CCO modes are supported for all cloud providers. For more information on CCO modes, see the Cloud Credential Operator entry in the Cluster Operators reference content. Note If your AWS account has service control policies (SCP) enabled, you must configure the credentialsMode parameter to Mint , Passthrough or Manual . Mint , Passthrough , Manual or an empty string ( "" ). fips Enable or disable FIPS mode. The default is false (disabled). If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. Note If you are using Azure File storage, you cannot enable FIPS mode. false or true imageContentSources Sources and repositories for the release-image content. Array of objects. Includes a source and, optionally, mirrors , as described in the following rows of this table. imageContentSources.source Required if you use imageContentSources . Specify the repository that users refer to, for example, in image pull specifications. String imageContentSources.mirrors Specify one or more repositories that may also contain the same images. Array of strings publish How to publish or expose the user-facing endpoints of your cluster, such as the Kubernetes API, OpenShift routes. Internal or External . To deploy a private cluster, which cannot be accessed from the internet, set publish to Internal . The default value is External . sshKey The SSH key to authenticate access to your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. For example, sshKey: ssh-ed25519 AAAA.. . 8.7.5.1.4. Additional Google Cloud Platform (GCP) configuration parameters Additional GCP configuration parameters are described in the following table: Table 8.25. Additional GCP parameters Parameter Description Values platform.gcp.network The name of the existing VPC that you want to deploy your cluster to. String. platform.gcp.projectID The name of the GCP project where the installation program installs the cluster. String. platform.gcp.region The name of the GCP region that hosts your cluster. Any valid region name, such as us-central1 . platform.gcp.controlPlaneSubnet The name of the existing subnet in your VPC that you want to deploy your control plane machines to. The subnet name. platform.gcp.computeSubnet The name of the existing subnet in your VPC that you want to deploy your compute machines to. The subnet name. platform.gcp.licenses A list of license URLs that must be applied to the compute images. Important The licenses parameter is a deprecated field and nested virtualization is enabled by default. It is not recommended to use this field. Any license available with the license API , such as the license to enable nested virtualization . You cannot use this parameter with a mechanism that generates pre-built images. Using a license URL forces the installer to copy the source image before use. platform.gcp.defaultMachinePlatform.osDisk.diskSizeGB The size of the disk in gigabytes (GB). Any size between 16 GB and 65536 GB. platform.gcp.defaultMachinePlatform.osDisk.diskType The type of disk. Either the default pd-ssd or the pd-standard disk type. The control plane nodes must be the pd-ssd disk type. The worker nodes can be either type. platform.gcp.defaultMachinePlatform.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot control plane and compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for both types of machines. String. The name of GCP project where the image is located. platform.gcp.defaultMachinePlatform.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane and compute machines. If you use platform.gcp.defaultMachinePlatform.osImage.project , this field is required. String. The name of the RHCOS image. platform.gcp.defaultMachinePlatform.type The GCP machine type . The GCP machine type. platform.gcp.defaultMachinePlatform.zones The availability zones where the installation program creates machines for the specified MachinePool. A list of valid GCP availability zones , such as us-central1-a , in a YAML sequence . controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for control plane machine disk encryption. The encryption key name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For control plane machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.location For control plane machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For control plane machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. controlPlane.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the Red Hat Enterprise Linux CoreOS (RHCOS) image that is used to boot control plane machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for control plane machines only. String. The name of GCP project where the image is located. controlPlane.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane machines. If you use controlPlane.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. compute.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for compute machine disk encryption. The encryption key name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For compute machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.location For compute machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. compute.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For compute machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. compute.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for compute machines only. String. The name of GCP project where the image is located. compute.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot compute machines. If you use compute.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. 8.7.5.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.26. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. Additional resources Optimizing storage 8.7.5.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.23. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.7.5.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . As part of the installation process, you specify the custom machine type in the install-config.yaml file. Sample install-config.yaml file with a custom machine type compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3 8.7.5.5. Sample customized install-config.yaml file for GCP You can customize the install-config.yaml file to specify more details about your OpenShift Container Platform cluster's platform or modify the values of the required parameters. Important This sample YAML file is provided for reference only. You must obtain your install-config.yaml file by using the installation program and modify it. apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name network: existing_vpc 16 controlPlaneSubnet: control_plane_subnet 17 computeSubnet: compute_subnet 18 pullSecret: '{"auths":{"<local_registry>": {"auth": "<credentials>","email": "[email protected]"}}}' 19 fips: false 20 sshKey: ssh-ed25519 AAAA... 21 additionalTrustBundle: | 22 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- imageContentSources: 23 - mirrors: - <local_registry>/<local_repository_name>/release source: quay.io/openshift-release-dev/ocp-release - mirrors: - <local_registry>/<local_repository_name>/release source: quay.io/openshift-release-dev/ocp-v4.0-art-dev 1 12 13 14 Required. The installation program prompts you for this value. 2 7 If you do not provide these parameters and values, the installation program provides the default value. 3 8 The controlPlane section is a single mapping, but the compute section is a sequence of mappings. To meet the requirements of the different data structures, the first line of the compute section must begin with a hyphen, - , and the first line of the controlPlane section must not. Only one control plane pool is used. 4 9 Whether to enable or disable simultaneous multithreading, or hyperthreading . By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. You can disable it by setting the parameter value to Disabled . If you disable simultaneous multithreading in some cluster machines, you must disable it in all cluster machines. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Use larger machine types, such as n1-standard-8 , for your machines if you disable simultaneous multithreading. 5 10 Optional: The custom encryption key section to encrypt both virtual machines and persistent volumes. Your default compute service account must have the permissions granted to use your KMS key and have the correct IAM role assigned. The default service account name follows the service-<project_number>@compute-system.iam.gserviceaccount.com pattern. For more information on granting the correct permissions for your service account, see "Machine management" "Creating machine sets" "Creating a machine set on GCP". 6 11 15 Optional: A custom Red Hat Enterprise Linux CoreOS (RHCOS) image for the installation program to use to boot control plane and compute machines. The project and name parameters under platform.gcp.defaultMachinePlatform.osImage apply to both control plane and compute machines. If the project and name parameters under controlPlane.platform.gcp.osImage or compute.platform.gcp.osImage are set, they override the platform.gcp.defaultMachinePlatform.osImage parameters. 16 Specify the name of an existing VPC. 17 Specify the name of the existing subnet to deploy the control plane machines to. The subnet must belong to the VPC that you specified. 18 Specify the name of the existing subnet to deploy the compute machines to. The subnet must belong to the VPC that you specified. 19 For <local_registry> , specify the registry domain name, and optionally the port, that your mirror registry uses to serve content. For example, registry.example.com or registry.example.com:5000 . For <credentials> , specify the base64-encoded user name and password for your mirror registry. 20 Whether to enable or disable FIPS mode. By default, FIPS mode is not enabled. If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. 21 You can optionally provide the sshKey value that you use to access the machines in your cluster. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. 22 Provide the contents of the certificate file that you used for your mirror registry. 23 Provide the imageContentSources section from the output of the command to mirror the repository. 8.7.5.6. Create an Ingress Controller with global access on GCP You can create an Ingress Controller that has global access to a Google Cloud Platform (GCP) cluster. Global access is only available to Ingress Controllers using internal load balancers. Prerequisites You created the install-config.yaml and complete any modifications to it. Procedure Create an Ingress Controller with global access on a new GCP cluster. Change to the directory that contains the installation program and create a manifest file: USD ./openshift-install create manifests --dir <installation_directory> 1 1 For <installation_directory> , specify the name of the directory that contains the install-config.yaml file for your cluster. Create a file that is named cluster-ingress-default-ingresscontroller.yaml in the <installation_directory>/manifests/ directory: USD touch <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml 1 1 For <installation_directory> , specify the directory name that contains the manifests/ directory for your cluster. After creating the file, several network configuration files are in the manifests/ directory, as shown: USD ls <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml Example output cluster-ingress-default-ingresscontroller.yaml Open the cluster-ingress-default-ingresscontroller.yaml file in an editor and enter a custom resource (CR) that describes the Operator configuration you want: Sample clientAccess configuration to Global apiVersion: operator.openshift.io/v1 kind: IngressController metadata: name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: providerParameters: gcp: clientAccess: Global 1 type: GCP scope: Internal 2 type: LoadBalancerService 1 Set gcp.clientAccess to Global . 2 Global access is only available to Ingress Controllers using internal load balancers. 8.7.5.7. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.7.6. Deploying the cluster You can install OpenShift Container Platform on a compatible cloud platform. Important You can run the create cluster command of the installation program only once, during initial installation. Prerequisites Configure an account with the cloud platform that hosts your cluster. Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Remove any existing GCP credentials that do not use the service account key for the GCP account that you configured for your cluster and that are stored in the following locations: The GOOGLE_CREDENTIALS , GOOGLE_CLOUD_KEYFILE_JSON , or GCLOUD_KEYFILE_JSON environment variables The ~/.gcp/osServiceAccount.json file The gcloud cli default credentials Change to the directory that contains the installation program and initialize the cluster deployment: USD ./openshift-install create cluster --dir <installation_directory> \ 1 --log-level=info 2 1 For <installation_directory> , specify the location of your customized ./install-config.yaml file. 2 To view different installation details, specify warn , debug , or error instead of info . Note If the cloud provider account that you configured on your host does not have sufficient permissions to deploy the cluster, the installation process stops, and the missing permissions are displayed. Optional: You can reduce the number of permissions for the service account that you used to install the cluster. If you assigned the Owner role to your service account, you can remove that role and replace it with the Viewer role. If you included the Service Account Key Admin role, you can remove it. Verification When the cluster deployment completes successfully: The terminal displays directions for accessing your cluster, including a link to the web console and credentials for the kubeadmin user. Credential information also outputs to <installation_directory>/.openshift_install.log . Important Do not delete the installation program or the files that the installation program creates. Both are required to delete the cluster. Example output ... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: "kubeadmin", and password: "password" INFO Time elapsed: 36m22s Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. 8.7.7. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.7.8. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin 8.7.9. Disabling the default OperatorHub sources Operator catalogs that source content provided by Red Hat and community projects are configured for OperatorHub by default during an OpenShift Container Platform installation. In a restricted network environment, you must disable the default catalogs as a cluster administrator. Procedure Disable the sources for the default catalogs by adding disableAllDefaultSources: true to the OperatorHub object: USD oc patch OperatorHub cluster --type json \ -p '[{"op": "add", "path": "/spec/disableAllDefaultSources", "value": true}]' Tip Alternatively, you can use the web console to manage catalog sources. From the Administration Cluster Settings Configuration OperatorHub page, click the Sources tab, where you can create, update, delete, disable, and enable individual sources. 8.7.10. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.7.11. steps Validate an installation . Customize your cluster . Configure image streams for the Cluster Samples Operator and the must-gather tool. Learn how to use Operator Lifecycle Manager (OLM) on restricted networks . If the mirror registry that you used to install your cluster has a trusted CA, add it to the cluster by configuring additional trust stores . If necessary, you can opt out of remote health reporting . If necessary, see Registering your disconnected cluster 8.8. Installing a cluster on GCP into an existing VPC In OpenShift Container Platform version 4.11, you can install a cluster into an existing Virtual Private Cloud (VPC) on Google Cloud Platform (GCP). The installation program provisions the rest of the required infrastructure, which you can further customize. To customize the installation, you modify parameters in the install-config.yaml file before you install the cluster. 8.8.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . You configured a GCP project to host the cluster. If you use a firewall, you configured it to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . 8.8.2. About using a custom VPC In OpenShift Container Platform 4.11, you can deploy a cluster into existing subnets in an existing Virtual Private Cloud (VPC) in Google Cloud Platform (GCP). By deploying OpenShift Container Platform into an existing GCP VPC, you might be able to avoid limit constraints in new accounts or more easily abide by the operational constraints that your company's guidelines set. If you cannot obtain the infrastructure creation permissions that are required to create the VPC yourself, use this installation option. You must configure networking for the subnets. 8.8.2.1. Requirements for using your VPC The union of the VPC CIDR block and the machine network CIDR must be non-empty. The subnets must be within the machine network. The installation program does not create the following components: NAT gateways Subnets Route tables VPC network Note The installation program requires that you use the cloud-provided DNS server. Using a custom DNS server is not supported and causes the installation to fail. 8.8.2.2. VPC validation To ensure that the subnets that you provide are suitable, the installation program confirms the following data: All the subnets that you specify exist. You provide one subnet for control-plane machines and one subnet for compute machines. The subnet's CIDRs belong to the machine CIDR that you specified. 8.8.2.3. Division of permissions Some individuals can create different resource in your clouds than others. For example, you might be able to create application-specific items, like instances, buckets, and load balancers, but not networking-related components such as VPCs, subnets, or ingress rules. 8.8.2.4. Isolation between clusters If you deploy OpenShift Container Platform to an existing network, the isolation of cluster services is reduced in the following ways: You can install multiple OpenShift Container Platform clusters in the same VPC. ICMP ingress is allowed to the entire network. TCP 22 ingress (SSH) is allowed to the entire network. Control plane TCP 6443 ingress (Kubernetes API) is allowed to the entire network. Control plane TCP 22623 ingress (MCS) is allowed to the entire network. 8.8.3. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.8.4. Generating a key pair for cluster node SSH access During an OpenShift Container Platform installation, you can provide an SSH public key to the installation program. The key is passed to the Red Hat Enterprise Linux CoreOS (RHCOS) nodes through their Ignition config files and is used to authenticate SSH access to the nodes. The key is added to the ~/.ssh/authorized_keys list for the core user on each node, which enables password-less authentication. After the key is passed to the nodes, you can use the key pair to SSH in to the RHCOS nodes as the user core . To access the nodes through SSH, the private key identity must be managed by SSH for your local user. If you want to SSH in to your cluster nodes to perform installation debugging or disaster recovery, you must provide the SSH public key during the installation process. The ./openshift-install gather command also requires the SSH public key to be in place on the cluster nodes. Important Do not skip this procedure in production environments, where disaster recovery and debugging is required. Note You must use a local key, not one that you configured with platform-specific approaches such as AWS key pairs . Procedure If you do not have an existing SSH key pair on your local machine to use for authentication onto your cluster nodes, create one. For example, on a computer that uses a Linux operating system, run the following command: USD ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1 1 Specify the path and file name, such as ~/.ssh/id_ed25519 , of the new SSH key. If you have an existing key pair, ensure your public key is in the your ~/.ssh directory. Note If you plan to install an OpenShift Container Platform cluster that uses FIPS validated or Modules In Process cryptographic libraries on the x86_64 architecture, do not create a key that uses the ed25519 algorithm. Instead, create a key that uses the rsa or ecdsa algorithm. View the public SSH key: USD cat <path>/<file_name>.pub For example, run the following to view the ~/.ssh/id_ed25519.pub public key: USD cat ~/.ssh/id_ed25519.pub Add the SSH private key identity to the SSH agent for your local user, if it has not already been added. SSH agent management of the key is required for password-less SSH authentication onto your cluster nodes, or if you want to use the ./openshift-install gather command. Note On some distributions, default SSH private key identities such as ~/.ssh/id_rsa and ~/.ssh/id_dsa are managed automatically. If the ssh-agent process is not already running for your local user, start it as a background task: USD eval "USD(ssh-agent -s)" Example output Agent pid 31874 Note If your cluster is in FIPS mode, only use FIPS-compliant algorithms to generate the SSH key. The key must be either RSA or ECDSA. Add your SSH private key to the ssh-agent : USD ssh-add <path>/<file_name> 1 1 Specify the path and file name for your SSH private key, such as ~/.ssh/id_ed25519 Example output Identity added: /home/<you>/<path>/<file_name> (<computer_name>) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the full path to your service account private key file. USD export GOOGLE_APPLICATION_CREDENTIALS="<your_service_account_file>" Verify that the credentials were applied. USD gcloud auth list steps When you install OpenShift Container Platform, provide the SSH public key to the installation program. 8.8.5. Obtaining the installation program Before you install OpenShift Container Platform, download the installation file on a local computer. Prerequisites You have a computer that runs Linux or macOS, with 500 MB of local disk space. Procedure Access the Infrastructure Provider page on the OpenShift Cluster Manager site. If you have a Red Hat account, log in with your credentials. If you do not, create an account. Select your infrastructure provider. Navigate to the page for your installation type, download the installation program that corresponds with your host operating system and architecture, and place the file in the directory where you will store the installation configuration files. Important The installation program creates several files on the computer that you use to install your cluster. You must keep the installation program and the files that the installation program creates after you finish installing the cluster. Both files are required to delete the cluster. Important Deleting the files created by the installation program does not remove your cluster, even if the cluster failed during installation. To remove your cluster, complete the OpenShift Container Platform uninstallation procedures for your specific cloud provider. Extract the installation program. For example, on a computer that uses a Linux operating system, run the following command: USD tar -xvf openshift-install-linux.tar.gz Download your installation pull secret from the Red Hat OpenShift Cluster Manager . This pull secret allows you to authenticate with the services that are provided by the included authorities, including Quay.io, which serves the container images for OpenShift Container Platform components. 8.8.6. Creating the installation configuration file You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP). Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Obtain service principal permissions at the subscription level. Procedure Create the install-config.yaml file. Change to the directory that contains the installation program and run the following command: USD ./openshift-install create install-config --dir <installation_directory> 1 1 For <installation_directory> , specify the directory name to store the files that the installation program creates. When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. At the prompts, provide the configuration details for your cloud: Optional: Select an SSH key to use to access your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Select gcp as the platform to target. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. Paste the pull secret from the Red Hat OpenShift Cluster Manager . Modify the install-config.yaml file. You can find more information about the available parameters in the "Installation configuration parameters" section. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now. 8.8.6.1. Installation configuration parameters Before you deploy an OpenShift Container Platform cluster, you provide parameter values to describe your account on the cloud platform that hosts your cluster and optionally customize your cluster's platform. When you create the install-config.yaml installation configuration file, you provide values for the required parameters through the command line. If you customize your cluster, you can modify the install-config.yaml file to provide more details about the platform. Note After installation, you cannot modify these parameters in the install-config.yaml file. 8.8.6.1.1. Required configuration parameters Required installation configuration parameters are described in the following table: Table 8.27. Required parameters Parameter Description Values apiVersion The API version for the install-config.yaml content. The current version is v1 . The installer may also support older API versions. String baseDomain The base domain of your cloud provider. The base domain is used to create routes to your OpenShift Container Platform cluster components. The full DNS name for your cluster is a combination of the baseDomain and metadata.name parameter values that uses the <metadata.name>.<baseDomain> format. A fully-qualified domain or subdomain name, such as example.com . metadata Kubernetes resource ObjectMeta , from which only the name parameter is consumed. Object metadata.name The name of the cluster. DNS records for the cluster are all subdomains of {{.metadata.name}}.{{.baseDomain}} . String of lowercase letters, hyphens ( - ), and periods ( . ), such as dev . platform The configuration for the specific platform upon which to perform the installation: alibabacloud , aws , baremetal , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} . For additional information about platform.<platform> parameters, consult the table for your specific platform that follows. Object pullSecret Get a pull secret from the Red Hat OpenShift Cluster Manager to authenticate downloading container images for OpenShift Container Platform components from services such as Quay.io. { "auths":{ "cloud.openshift.com":{ "auth":"b3Blb=", "email":"[email protected]" }, "quay.io":{ "auth":"b3Blb=", "email":"[email protected]" } } } 8.8.6.1.2. Network configuration parameters You can customize your installation configuration based on the requirements of your existing network infrastructure. For example, you can expand the IP address block for the cluster network or provide different IP address blocks than the defaults. Only IPv4 addresses are supported. Note Globalnet is not supported with Red Hat OpenShift Data Foundation disaster recovery solutions. For regional disaster recovery scenarios, ensure that you use a nonoverlapping range of private IP addresses for the cluster and service networks in each cluster. Table 8.28. Network parameters Parameter Description Values networking The configuration for the cluster network. Object Note You cannot modify parameters specified by the networking object after installation. networking.networkType The cluster network provider Container Network Interface (CNI) cluster network provider to install. Either OpenShiftSDN or OVNKubernetes . OpenShiftSDN is a CNI provider for all-Linux networks. OVNKubernetes is a CNI provider for Linux networks and hybrid networks that contain both Linux and Windows servers. The default value is OpenShiftSDN . networking.clusterNetwork The IP address blocks for pods. The default value is 10.128.0.0/14 with a host prefix of /23 . If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 networking.clusterNetwork.cidr Required if you use networking.clusterNetwork . An IP address block. An IPv4 network. An IP address block in Classless Inter-Domain Routing (CIDR) notation. The prefix length for an IPv4 block is between 0 and 32 . networking.clusterNetwork.hostPrefix The subnet prefix length to assign to each individual node. For example, if hostPrefix is set to 23 then each node is assigned a /23 subnet out of the given cidr . A hostPrefix value of 23 provides 510 (2^(32 - 23) - 2) pod IP addresses. A subnet prefix. The default value is 23 . networking.serviceNetwork The IP address block for services. The default value is 172.30.0.0/16 . The OpenShift SDN and OVN-Kubernetes network providers support only a single IP address block for the service network. An array with an IP address block in CIDR format. For example: networking: serviceNetwork: - 172.30.0.0/16 networking.machineNetwork The IP address blocks for machines. If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: machineNetwork: - cidr: 10.0.0.0/16 networking.machineNetwork.cidr Required if you use networking.machineNetwork . An IP address block. The default value is 10.0.0.0/16 for all platforms other than libvirt. For libvirt, the default value is 192.168.126.0/24 . An IP network block in CIDR notation. For example, 10.0.0.0/16 . Note Set the networking.machineNetwork to match the CIDR that the preferred NIC resides in. 8.8.6.1.3. Optional configuration parameters Optional installation configuration parameters are described in the following table: Table 8.29. Optional parameters Parameter Description Values additionalTrustBundle A PEM-encoded X.509 certificate bundle that is added to the nodes' trusted certificate store. This trust bundle may also be used when a proxy has been configured. String capabilities Controls the installation of optional core cluster components. You can reduce the footprint of your OpenShift Container Platform cluster by disabling optional components. String array capabilities.baselineCapabilitySet Selects an initial set of optional capabilities to enable. Valid values are None , v4.11 and vCurrent . v4.11 enables the baremetal Operator, the marketplace Operator, and the openshift-samples content. vCurrent installs the recommended set of capabilities for the current version of OpenShift Container Platform. The default value is vCurrent . String capabilities.additionalEnabledCapabilities Extends the set of optional capabilities beyond what you specify in baselineCapabilitySet . Valid values are baremetal , marketplace and openshift-samples . You may specify multiple capabilities in this parameter. String array cgroupsV2 Enables Linux control groups version 2 (cgroups v2) on specific nodes in your cluster. The OpenShift Container Platform process for enabling cgroups v2 disables all cgroup version 1 controllers and hierarchies. The OpenShift Container Platform cgroups version 2 feature is in Developer Preview and is not supported by Red Hat at this time. true compute The configuration for the machines that comprise the compute nodes. Array of MachinePool objects. compute.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String compute.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on compute machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled compute.name Required if you use compute . The name of the machine pool. worker compute.platform Required if you use compute . Use this parameter to specify the cloud provider to host the worker machines. This parameter value must match the controlPlane.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} compute.replicas The number of compute machines, which are also known as worker machines, to provision. A positive integer greater than or equal to 2 . The default value is 3 . controlPlane The configuration for the machines that comprise the control plane. Array of MachinePool objects. controlPlane.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String controlPlane.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on control plane machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled controlPlane.name Required if you use controlPlane . The name of the machine pool. master controlPlane.platform Required if you use controlPlane . Use this parameter to specify the cloud provider that hosts the control plane machines. This parameter value must match the compute.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} controlPlane.replicas The number of control plane machines to provision. The only supported value is 3 , which is the default value. credentialsMode The Cloud Credential Operator (CCO) mode. If no mode is specified, the CCO dynamically tries to determine the capabilities of the provided credentials, with a preference for mint mode on the platforms where multiple modes are supported. If you are installing on GCP into a shared virtual private cloud (VPC), credentialsMode must be set to Passthrough . Note Not all CCO modes are supported for all cloud providers. For more information on CCO modes, see the Cloud Credential Operator entry in the Cluster Operators reference content. Note If your AWS account has service control policies (SCP) enabled, you must configure the credentialsMode parameter to Mint , Passthrough or Manual . Mint , Passthrough , Manual or an empty string ( "" ). fips Enable or disable FIPS mode. The default is false (disabled). If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. Note If you are using Azure File storage, you cannot enable FIPS mode. false or true imageContentSources Sources and repositories for the release-image content. Array of objects. Includes a source and, optionally, mirrors , as described in the following rows of this table. imageContentSources.source Required if you use imageContentSources . Specify the repository that users refer to, for example, in image pull specifications. String imageContentSources.mirrors Specify one or more repositories that may also contain the same images. Array of strings publish How to publish or expose the user-facing endpoints of your cluster, such as the Kubernetes API, OpenShift routes. Internal or External . To deploy a private cluster, which cannot be accessed from the internet, set publish to Internal . The default value is External . sshKey The SSH key to authenticate access to your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. For example, sshKey: ssh-ed25519 AAAA.. . 8.8.6.1.4. Additional Google Cloud Platform (GCP) configuration parameters Additional GCP configuration parameters are described in the following table: Table 8.30. Additional GCP parameters Parameter Description Values platform.gcp.network The name of the existing VPC that you want to deploy your cluster to. String. platform.gcp.projectID The name of the GCP project where the installation program installs the cluster. String. platform.gcp.region The name of the GCP region that hosts your cluster. Any valid region name, such as us-central1 . platform.gcp.controlPlaneSubnet The name of the existing subnet in your VPC that you want to deploy your control plane machines to. The subnet name. platform.gcp.computeSubnet The name of the existing subnet in your VPC that you want to deploy your compute machines to. The subnet name. platform.gcp.licenses A list of license URLs that must be applied to the compute images. Important The licenses parameter is a deprecated field and nested virtualization is enabled by default. It is not recommended to use this field. Any license available with the license API , such as the license to enable nested virtualization . You cannot use this parameter with a mechanism that generates pre-built images. Using a license URL forces the installer to copy the source image before use. platform.gcp.defaultMachinePlatform.osDisk.diskSizeGB The size of the disk in gigabytes (GB). Any size between 16 GB and 65536 GB. platform.gcp.defaultMachinePlatform.osDisk.diskType The type of disk. Either the default pd-ssd or the pd-standard disk type. The control plane nodes must be the pd-ssd disk type. The worker nodes can be either type. platform.gcp.defaultMachinePlatform.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot control plane and compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for both types of machines. String. The name of GCP project where the image is located. platform.gcp.defaultMachinePlatform.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane and compute machines. If you use platform.gcp.defaultMachinePlatform.osImage.project , this field is required. String. The name of the RHCOS image. platform.gcp.defaultMachinePlatform.type The GCP machine type . The GCP machine type. platform.gcp.defaultMachinePlatform.zones The availability zones where the installation program creates machines for the specified MachinePool. A list of valid GCP availability zones , such as us-central1-a , in a YAML sequence . controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for control plane machine disk encryption. The encryption key name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For control plane machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.location For control plane machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For control plane machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. controlPlane.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the Red Hat Enterprise Linux CoreOS (RHCOS) image that is used to boot control plane machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for control plane machines only. String. The name of GCP project where the image is located. controlPlane.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane machines. If you use controlPlane.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. compute.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for compute machine disk encryption. The encryption key name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For compute machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.location For compute machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. compute.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For compute machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. compute.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for compute machines only. String. The name of GCP project where the image is located. compute.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot compute machines. If you use compute.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. 8.8.6.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.31. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. Additional resources Optimizing storage 8.8.6.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.24. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.8.6.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . As part of the installation process, you specify the custom machine type in the install-config.yaml file. Sample install-config.yaml file with a custom machine type compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3 8.8.6.5. Sample customized install-config.yaml file for GCP You can customize the install-config.yaml file to specify more details about your OpenShift Container Platform cluster's platform or modify the values of the required parameters. Important This sample YAML file is provided for reference only. You must obtain your install-config.yaml file by using the installation program and modify it. apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name network: existing_vpc 16 controlPlaneSubnet: control_plane_subnet 17 computeSubnet: compute_subnet 18 pullSecret: '{"auths": ...}' 19 fips: false 20 sshKey: ssh-ed25519 AAAA... 21 1 12 13 14 19 Required. The installation program prompts you for this value. 2 7 If you do not provide these parameters and values, the installation program provides the default value. 3 8 The controlPlane section is a single mapping, but the compute section is a sequence of mappings. To meet the requirements of the different data structures, the first line of the compute section must begin with a hyphen, - , and the first line of the controlPlane section must not. Only one control plane pool is used. 4 9 Whether to enable or disable simultaneous multithreading, or hyperthreading . By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. You can disable it by setting the parameter value to Disabled . If you disable simultaneous multithreading in some cluster machines, you must disable it in all cluster machines. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Use larger machine types, such as n1-standard-8 , for your machines if you disable simultaneous multithreading. 5 10 Optional: The custom encryption key section to encrypt both virtual machines and persistent volumes. Your default compute service account must have the permissions granted to use your KMS key and have the correct IAM role assigned. The default service account name follows the service-<project_number>@compute-system.iam.gserviceaccount.com pattern. For more information on granting the correct permissions for your service account, see "Machine management" "Creating machine sets" "Creating a machine set on GCP". 6 11 15 Optional: A custom Red Hat Enterprise Linux CoreOS (RHCOS) image for the installation program to use to boot control plane and compute machines. The project and name parameters under platform.gcp.defaultMachinePlatform.osImage apply to both control plane and compute machines. If the project and name parameters under controlPlane.platform.gcp.osImage or compute.platform.gcp.osImage are set, they override the platform.gcp.defaultMachinePlatform.osImage parameters. 16 Specify the name of an existing VPC. 17 Specify the name of the existing subnet to deploy the control plane machines to. The subnet must belong to the VPC that you specified. 18 Specify the name of the existing subnet to deploy the compute machines to. The subnet must belong to the VPC that you specified. 20 Whether to enable or disable FIPS mode. By default, FIPS mode is not enabled. If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. 21 You can optionally provide the sshKey value that you use to access the machines in your cluster. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. 8.8.6.6. Create an Ingress Controller with global access on GCP You can create an Ingress Controller that has global access to a Google Cloud Platform (GCP) cluster. Global access is only available to Ingress Controllers using internal load balancers. Prerequisites You created the install-config.yaml and complete any modifications to it. Procedure Create an Ingress Controller with global access on a new GCP cluster. Change to the directory that contains the installation program and create a manifest file: USD ./openshift-install create manifests --dir <installation_directory> 1 1 For <installation_directory> , specify the name of the directory that contains the install-config.yaml file for your cluster. Create a file that is named cluster-ingress-default-ingresscontroller.yaml in the <installation_directory>/manifests/ directory: USD touch <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml 1 1 For <installation_directory> , specify the directory name that contains the manifests/ directory for your cluster. After creating the file, several network configuration files are in the manifests/ directory, as shown: USD ls <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml Example output cluster-ingress-default-ingresscontroller.yaml Open the cluster-ingress-default-ingresscontroller.yaml file in an editor and enter a custom resource (CR) that describes the Operator configuration you want: Sample clientAccess configuration to Global apiVersion: operator.openshift.io/v1 kind: IngressController metadata: name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: providerParameters: gcp: clientAccess: Global 1 type: GCP scope: Internal 2 type: LoadBalancerService 1 Set gcp.clientAccess to Global . 2 Global access is only available to Ingress Controllers using internal load balancers. 8.8.7. Additional resources Enabling customer-managed encryption keys for a machine set 8.8.7.1. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.8.8. Deploying the cluster You can install OpenShift Container Platform on a compatible cloud platform. Important You can run the create cluster command of the installation program only once, during initial installation. Prerequisites Configure an account with the cloud platform that hosts your cluster. Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Remove any existing GCP credentials that do not use the service account key for the GCP account that you configured for your cluster and that are stored in the following locations: The GOOGLE_CREDENTIALS , GOOGLE_CLOUD_KEYFILE_JSON , or GCLOUD_KEYFILE_JSON environment variables The ~/.gcp/osServiceAccount.json file The gcloud cli default credentials Change to the directory that contains the installation program and initialize the cluster deployment: USD ./openshift-install create cluster --dir <installation_directory> \ 1 --log-level=info 2 1 For <installation_directory> , specify the location of your customized ./install-config.yaml file. 2 To view different installation details, specify warn , debug , or error instead of info . Note If the cloud provider account that you configured on your host does not have sufficient permissions to deploy the cluster, the installation process stops, and the missing permissions are displayed. Optional: You can reduce the number of permissions for the service account that you used to install the cluster. If you assigned the Owner role to your service account, you can remove that role and replace it with the Viewer role. If you included the Service Account Key Admin role, you can remove it. Verification When the cluster deployment completes successfully: The terminal displays directions for accessing your cluster, including a link to the web console and credentials for the kubeadmin user. Credential information also outputs to <installation_directory>/.openshift_install.log . Important Do not delete the installation program or the files that the installation program creates. Both are required to delete the cluster. Example output ... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: "kubeadmin", and password: "password" INFO Time elapsed: 36m22s Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. 8.8.9. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.8.10. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin Additional resources See Accessing the web console for more details about accessing and understanding the OpenShift Container Platform web console. 8.8.11. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.8.12. steps Customize your cluster . If necessary, you can opt out of remote health reporting . 8.9. Installing a private cluster on GCP In OpenShift Container Platform version 4.11, you can install a private cluster into an existing VPC on Google Cloud Platform (GCP). The installation program provisions the rest of the required infrastructure, which you can further customize. To customize the installation, you modify parameters in the install-config.yaml file before you install the cluster. 8.9.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . You configured a GCP project to host the cluster. If you use a firewall, you configured it to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . 8.9.2. Private clusters You can deploy a private OpenShift Container Platform cluster that does not expose external endpoints. Private clusters are accessible from only an internal network and are not visible to the internet. By default, OpenShift Container Platform is provisioned to use publicly-accessible DNS and endpoints. A private cluster sets the DNS, Ingress Controller, and API server to private when you deploy your cluster. This means that the cluster resources are only accessible from your internal network and are not visible to the internet. Important If the cluster has any public subnets, load balancer services created by administrators might be publicly accessible. To ensure cluster security, verify that these services are explicitly annotated as private. To deploy a private cluster, you must: Use existing networking that meets your requirements. Your cluster resources might be shared between other clusters on the network. Deploy from a machine that has access to: The API services for the cloud to which you provision. The hosts on the network that you provision. The internet to obtain installation media. You can use any machine that meets these access requirements and follows your company's guidelines. For example, this machine can be a bastion host on your cloud network or a machine that has access to the network through a VPN. 8.9.2.1. Private clusters in GCP To create a private cluster on Google Cloud Platform (GCP), you must provide an existing private VPC and subnets to host the cluster. The installation program must also be able to resolve the DNS records that the cluster requires. The installation program configures the Ingress Operator and API server for only internal traffic. The cluster still requires access to internet to access the GCP APIs. The following items are not required or created when you install a private cluster: Public subnets Public network load balancers, which support public ingress A public DNS zone that matches the baseDomain for the cluster The installation program does use the baseDomain that you specify to create a private DNS zone and the required records for the cluster. The cluster is configured so that the Operators do not create public records for the cluster and all cluster machines are placed in the private subnets that you specify. Because it is not possible to limit access to external load balancers based on source tags, the private cluster uses only internal load balancers to allow access to internal instances. The internal load balancer relies on instance groups rather than the target pools that the network load balancers use. The installation program creates instance groups for each zone, even if there is no instance in that group. The cluster IP address is internal only. One forwarding rule manages both the Kubernetes API and machine config server ports. The backend service is comprised of each zone's instance group and, while it exists, the bootstrap instance group. The firewall uses a single rule that is based on only internal source ranges. 8.9.2.1.1. Limitations No health check for the Machine config server, /healthz , runs because of a difference in load balancer functionality. Two internal load balancers cannot share a single IP address, but two network load balancers can share a single external IP address. Instead, the health of an instance is determined entirely by the /readyz check on port 6443. 8.9.3. About using a custom VPC In OpenShift Container Platform 4.11, you can deploy a cluster into an existing VPC in Google Cloud Platform (GCP). If you do, you must also use existing subnets within the VPC and routing rules. By deploying OpenShift Container Platform into an existing GCP VPC, you might be able to avoid limit constraints in new accounts or more easily abide by the operational constraints that your company's guidelines set. This is a good option to use if you cannot obtain the infrastructure creation permissions that are required to create the VPC yourself. 8.9.3.1. Requirements for using your VPC The installation program will no longer create the following components: VPC Subnets Cloud router Cloud NAT NAT IP addresses If you use a custom VPC, you must correctly configure it and its subnets for the installation program and the cluster to use. The installation program cannot subdivide network ranges for the cluster to use, set route tables for the subnets, or set VPC options like DHCP, so you must do so before you install the cluster. Your VPC and subnets must meet the following characteristics: The VPC must be in the same GCP project that you deploy the OpenShift Container Platform cluster to. To allow access to the internet from the control plane and compute machines, you must configure cloud NAT on the subnets to allow egress to it. These machines do not have a public address. Even if you do not require access to the internet, you must allow egress to the VPC network to obtain the installation program and images. Because multiple cloud NATs cannot be configured on the shared subnets, the installation program cannot configure it. To ensure that the subnets that you provide are suitable, the installation program confirms the following data: All the subnets that you specify exist and belong to the VPC that you specified. The subnet CIDRs belong to the machine CIDR. You must provide a subnet to deploy the cluster control plane and compute machines to. You can use the same subnet for both machine types. If you destroy a cluster that uses an existing VPC, the VPC is not deleted. 8.9.3.2. Division of permissions Starting with OpenShift Container Platform 4.3, you do not need all of the permissions that are required for an installation program-provisioned infrastructure cluster to deploy a cluster. This change mimics the division of permissions that you might have at your company: some individuals can create different resources in your clouds than others. For example, you might be able to create application-specific items, like instances, buckets, and load balancers, but not networking-related components such as VPCs, subnets, or Ingress rules. The GCP credentials that you use when you create your cluster do not need the networking permissions that are required to make VPCs and core networking components within the VPC, such as subnets, routing tables, internet gateways, NAT, and VPN. You still need permission to make the application resources that the machines within the cluster require, such as load balancers, security groups, storage, and nodes. 8.9.3.3. Isolation between clusters If you deploy OpenShift Container Platform to an existing network, the isolation of cluster services is preserved by firewall rules that reference the machines in your cluster by the cluster's infrastructure ID. Only traffic within the cluster is allowed. If you deploy multiple clusters to the same VPC, the following components might share access between clusters: The API, which is globally available with an external publishing strategy or available throughout the network in an internal publishing strategy Debugging tools, such as ports on VM instances that are open to the machine CIDR for SSH and ICMP access 8.9.4. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.9.5. Generating a key pair for cluster node SSH access During an OpenShift Container Platform installation, you can provide an SSH public key to the installation program. The key is passed to the Red Hat Enterprise Linux CoreOS (RHCOS) nodes through their Ignition config files and is used to authenticate SSH access to the nodes. The key is added to the ~/.ssh/authorized_keys list for the core user on each node, which enables password-less authentication. After the key is passed to the nodes, you can use the key pair to SSH in to the RHCOS nodes as the user core . To access the nodes through SSH, the private key identity must be managed by SSH for your local user. If you want to SSH in to your cluster nodes to perform installation debugging or disaster recovery, you must provide the SSH public key during the installation process. The ./openshift-install gather command also requires the SSH public key to be in place on the cluster nodes. Important Do not skip this procedure in production environments, where disaster recovery and debugging is required. Note You must use a local key, not one that you configured with platform-specific approaches such as AWS key pairs . Procedure If you do not have an existing SSH key pair on your local machine to use for authentication onto your cluster nodes, create one. For example, on a computer that uses a Linux operating system, run the following command: USD ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1 1 Specify the path and file name, such as ~/.ssh/id_ed25519 , of the new SSH key. If you have an existing key pair, ensure your public key is in the your ~/.ssh directory. Note If you plan to install an OpenShift Container Platform cluster that uses FIPS validated or Modules In Process cryptographic libraries on the x86_64 architecture, do not create a key that uses the ed25519 algorithm. Instead, create a key that uses the rsa or ecdsa algorithm. View the public SSH key: USD cat <path>/<file_name>.pub For example, run the following to view the ~/.ssh/id_ed25519.pub public key: USD cat ~/.ssh/id_ed25519.pub Add the SSH private key identity to the SSH agent for your local user, if it has not already been added. SSH agent management of the key is required for password-less SSH authentication onto your cluster nodes, or if you want to use the ./openshift-install gather command. Note On some distributions, default SSH private key identities such as ~/.ssh/id_rsa and ~/.ssh/id_dsa are managed automatically. If the ssh-agent process is not already running for your local user, start it as a background task: USD eval "USD(ssh-agent -s)" Example output Agent pid 31874 Note If your cluster is in FIPS mode, only use FIPS-compliant algorithms to generate the SSH key. The key must be either RSA or ECDSA. Add your SSH private key to the ssh-agent : USD ssh-add <path>/<file_name> 1 1 Specify the path and file name for your SSH private key, such as ~/.ssh/id_ed25519 Example output Identity added: /home/<you>/<path>/<file_name> (<computer_name>) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the full path to your service account private key file. USD export GOOGLE_APPLICATION_CREDENTIALS="<your_service_account_file>" Verify that the credentials were applied. USD gcloud auth list steps When you install OpenShift Container Platform, provide the SSH public key to the installation program. 8.9.6. Obtaining the installation program Before you install OpenShift Container Platform, download the installation file on a local computer. Prerequisites You have a computer that runs Linux or macOS, with 500 MB of local disk space. Procedure Access the Infrastructure Provider page on the OpenShift Cluster Manager site. If you have a Red Hat account, log in with your credentials. If you do not, create an account. Select your infrastructure provider. Navigate to the page for your installation type, download the installation program that corresponds with your host operating system and architecture, and place the file in the directory where you will store the installation configuration files. Important The installation program creates several files on the computer that you use to install your cluster. You must keep the installation program and the files that the installation program creates after you finish installing the cluster. Both files are required to delete the cluster. Important Deleting the files created by the installation program does not remove your cluster, even if the cluster failed during installation. To remove your cluster, complete the OpenShift Container Platform uninstallation procedures for your specific cloud provider. Extract the installation program. For example, on a computer that uses a Linux operating system, run the following command: USD tar -xvf openshift-install-linux.tar.gz Download your installation pull secret from the Red Hat OpenShift Cluster Manager . This pull secret allows you to authenticate with the services that are provided by the included authorities, including Quay.io, which serves the container images for OpenShift Container Platform components. 8.9.7. Manually creating the installation configuration file For installations of a private OpenShift Container Platform cluster that are only accessible from an internal network and are not visible to the internet, you must manually generate your installation configuration file. Prerequisites You have an SSH public key on your local machine to provide to the installation program. The key will be used for SSH authentication onto your cluster nodes for debugging and disaster recovery. You have obtained the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Create an installation directory to store your required installation assets in: USD mkdir <installation_directory> Important You must create a directory. Some installation assets, like bootstrap X.509 certificates have short expiration intervals, so you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. Customize the sample install-config.yaml file template that is provided and save it in the <installation_directory> . Note You must name this configuration file install-config.yaml . Note For some platform types, you can alternatively run ./openshift-install create install-config --dir <installation_directory> to generate an install-config.yaml file. You can provide details about your cluster configuration at the prompts. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the step of the installation process. You must back it up now. 8.9.7.1. Installation configuration parameters Before you deploy an OpenShift Container Platform cluster, you provide parameter values to describe your account on the cloud platform that hosts your cluster and optionally customize your cluster's platform. When you create the install-config.yaml installation configuration file, you provide values for the required parameters through the command line. If you customize your cluster, you can modify the install-config.yaml file to provide more details about the platform. Note After installation, you cannot modify these parameters in the install-config.yaml file. 8.9.7.1.1. Required configuration parameters Required installation configuration parameters are described in the following table: Table 8.32. Required parameters Parameter Description Values apiVersion The API version for the install-config.yaml content. The current version is v1 . The installer may also support older API versions. String baseDomain The base domain of your cloud provider. The base domain is used to create routes to your OpenShift Container Platform cluster components. The full DNS name for your cluster is a combination of the baseDomain and metadata.name parameter values that uses the <metadata.name>.<baseDomain> format. A fully-qualified domain or subdomain name, such as example.com . metadata Kubernetes resource ObjectMeta , from which only the name parameter is consumed. Object metadata.name The name of the cluster. DNS records for the cluster are all subdomains of {{.metadata.name}}.{{.baseDomain}} . String of lowercase letters, hyphens ( - ), and periods ( . ), such as dev . platform The configuration for the specific platform upon which to perform the installation: alibabacloud , aws , baremetal , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} . For additional information about platform.<platform> parameters, consult the table for your specific platform that follows. Object pullSecret Get a pull secret from the Red Hat OpenShift Cluster Manager to authenticate downloading container images for OpenShift Container Platform components from services such as Quay.io. { "auths":{ "cloud.openshift.com":{ "auth":"b3Blb=", "email":"[email protected]" }, "quay.io":{ "auth":"b3Blb=", "email":"[email protected]" } } } 8.9.7.1.2. Network configuration parameters You can customize your installation configuration based on the requirements of your existing network infrastructure. For example, you can expand the IP address block for the cluster network or provide different IP address blocks than the defaults. Only IPv4 addresses are supported. Note Globalnet is not supported with Red Hat OpenShift Data Foundation disaster recovery solutions. For regional disaster recovery scenarios, ensure that you use a nonoverlapping range of private IP addresses for the cluster and service networks in each cluster. Table 8.33. Network parameters Parameter Description Values networking The configuration for the cluster network. Object Note You cannot modify parameters specified by the networking object after installation. networking.networkType The cluster network provider Container Network Interface (CNI) cluster network provider to install. Either OpenShiftSDN or OVNKubernetes . OpenShiftSDN is a CNI provider for all-Linux networks. OVNKubernetes is a CNI provider for Linux networks and hybrid networks that contain both Linux and Windows servers. The default value is OpenShiftSDN . networking.clusterNetwork The IP address blocks for pods. The default value is 10.128.0.0/14 with a host prefix of /23 . If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 networking.clusterNetwork.cidr Required if you use networking.clusterNetwork . An IP address block. An IPv4 network. An IP address block in Classless Inter-Domain Routing (CIDR) notation. The prefix length for an IPv4 block is between 0 and 32 . networking.clusterNetwork.hostPrefix The subnet prefix length to assign to each individual node. For example, if hostPrefix is set to 23 then each node is assigned a /23 subnet out of the given cidr . A hostPrefix value of 23 provides 510 (2^(32 - 23) - 2) pod IP addresses. A subnet prefix. The default value is 23 . networking.serviceNetwork The IP address block for services. The default value is 172.30.0.0/16 . The OpenShift SDN and OVN-Kubernetes network providers support only a single IP address block for the service network. An array with an IP address block in CIDR format. For example: networking: serviceNetwork: - 172.30.0.0/16 networking.machineNetwork The IP address blocks for machines. If you specify multiple IP address blocks, the blocks must not overlap. An array of objects. For example: networking: machineNetwork: - cidr: 10.0.0.0/16 networking.machineNetwork.cidr Required if you use networking.machineNetwork . An IP address block. The default value is 10.0.0.0/16 for all platforms other than libvirt. For libvirt, the default value is 192.168.126.0/24 . An IP network block in CIDR notation. For example, 10.0.0.0/16 . Note Set the networking.machineNetwork to match the CIDR that the preferred NIC resides in. 8.9.7.1.3. Optional configuration parameters Optional installation configuration parameters are described in the following table: Table 8.34. Optional parameters Parameter Description Values additionalTrustBundle A PEM-encoded X.509 certificate bundle that is added to the nodes' trusted certificate store. This trust bundle may also be used when a proxy has been configured. String capabilities Controls the installation of optional core cluster components. You can reduce the footprint of your OpenShift Container Platform cluster by disabling optional components. String array capabilities.baselineCapabilitySet Selects an initial set of optional capabilities to enable. Valid values are None , v4.11 and vCurrent . v4.11 enables the baremetal Operator, the marketplace Operator, and the openshift-samples content. vCurrent installs the recommended set of capabilities for the current version of OpenShift Container Platform. The default value is vCurrent . String capabilities.additionalEnabledCapabilities Extends the set of optional capabilities beyond what you specify in baselineCapabilitySet . Valid values are baremetal , marketplace and openshift-samples . You may specify multiple capabilities in this parameter. String array cgroupsV2 Enables Linux control groups version 2 (cgroups v2) on specific nodes in your cluster. The OpenShift Container Platform process for enabling cgroups v2 disables all cgroup version 1 controllers and hierarchies. The OpenShift Container Platform cgroups version 2 feature is in Developer Preview and is not supported by Red Hat at this time. true compute The configuration for the machines that comprise the compute nodes. Array of MachinePool objects. compute.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String compute.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on compute machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled compute.name Required if you use compute . The name of the machine pool. worker compute.platform Required if you use compute . Use this parameter to specify the cloud provider to host the worker machines. This parameter value must match the controlPlane.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} compute.replicas The number of compute machines, which are also known as worker machines, to provision. A positive integer greater than or equal to 2 . The default value is 3 . controlPlane The configuration for the machines that comprise the control plane. Array of MachinePool objects. controlPlane.architecture Determines the instruction set architecture of the machines in the pool. Currently, clusters with varied architectures are not supported. All pools must specify the same architecture. Valid values are amd64 (the default). String controlPlane.hyperthreading Whether to enable or disable simultaneous multithreading, or hyperthreading , on control plane machines. By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Enabled or Disabled controlPlane.name Required if you use controlPlane . The name of the machine pool. master controlPlane.platform Required if you use controlPlane . Use this parameter to specify the cloud provider that hosts the control plane machines. This parameter value must match the compute.platform parameter value. alibabacloud , aws , azure , gcp , ibmcloud , nutanix , openstack , ovirt , vsphere , or {} controlPlane.replicas The number of control plane machines to provision. The only supported value is 3 , which is the default value. credentialsMode The Cloud Credential Operator (CCO) mode. If no mode is specified, the CCO dynamically tries to determine the capabilities of the provided credentials, with a preference for mint mode on the platforms where multiple modes are supported. If you are installing on GCP into a shared virtual private cloud (VPC), credentialsMode must be set to Passthrough . Note Not all CCO modes are supported for all cloud providers. For more information on CCO modes, see the Cloud Credential Operator entry in the Cluster Operators reference content. Note If your AWS account has service control policies (SCP) enabled, you must configure the credentialsMode parameter to Mint , Passthrough or Manual . Mint , Passthrough , Manual or an empty string ( "" ). fips Enable or disable FIPS mode. The default is false (disabled). If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. Note If you are using Azure File storage, you cannot enable FIPS mode. false or true imageContentSources Sources and repositories for the release-image content. Array of objects. Includes a source and, optionally, mirrors , as described in the following rows of this table. imageContentSources.source Required if you use imageContentSources . Specify the repository that users refer to, for example, in image pull specifications. String imageContentSources.mirrors Specify one or more repositories that may also contain the same images. Array of strings publish How to publish or expose the user-facing endpoints of your cluster, such as the Kubernetes API, OpenShift routes. Internal or External . To deploy a private cluster, which cannot be accessed from the internet, set publish to Internal . The default value is External . sshKey The SSH key to authenticate access to your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. For example, sshKey: ssh-ed25519 AAAA.. . 8.9.7.1.4. Additional Google Cloud Platform (GCP) configuration parameters Additional GCP configuration parameters are described in the following table: Table 8.35. Additional GCP parameters Parameter Description Values platform.gcp.network The name of the existing VPC that you want to deploy your cluster to. String. platform.gcp.projectID The name of the GCP project where the installation program installs the cluster. String. platform.gcp.region The name of the GCP region that hosts your cluster. Any valid region name, such as us-central1 . platform.gcp.controlPlaneSubnet The name of the existing subnet in your VPC that you want to deploy your control plane machines to. The subnet name. platform.gcp.computeSubnet The name of the existing subnet in your VPC that you want to deploy your compute machines to. The subnet name. platform.gcp.licenses A list of license URLs that must be applied to the compute images. Important The licenses parameter is a deprecated field and nested virtualization is enabled by default. It is not recommended to use this field. Any license available with the license API , such as the license to enable nested virtualization . You cannot use this parameter with a mechanism that generates pre-built images. Using a license URL forces the installer to copy the source image before use. platform.gcp.defaultMachinePlatform.osDisk.diskSizeGB The size of the disk in gigabytes (GB). Any size between 16 GB and 65536 GB. platform.gcp.defaultMachinePlatform.osDisk.diskType The type of disk. Either the default pd-ssd or the pd-standard disk type. The control plane nodes must be the pd-ssd disk type. The worker nodes can be either type. platform.gcp.defaultMachinePlatform.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot control plane and compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for both types of machines. String. The name of GCP project where the image is located. platform.gcp.defaultMachinePlatform.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane and compute machines. If you use platform.gcp.defaultMachinePlatform.osImage.project , this field is required. String. The name of the RHCOS image. platform.gcp.defaultMachinePlatform.type The GCP machine type . The GCP machine type. platform.gcp.defaultMachinePlatform.zones The availability zones where the installation program creates machines for the specified MachinePool. A list of valid GCP availability zones , such as us-central1-a , in a YAML sequence . controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for control plane machine disk encryption. The encryption key name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For control plane machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.location For control plane machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. controlPlane.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For control plane machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. controlPlane.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the Red Hat Enterprise Linux CoreOS (RHCOS) image that is used to boot control plane machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for control plane machines only. String. The name of GCP project where the image is located. controlPlane.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot control plane machines. If you use controlPlane.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. compute.platform.gcp.osDisk.encryptionKey.kmsKey.name The name of the customer managed encryption key to be used for compute machine disk encryption. The encryption key name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.keyRing For compute machines, the name of the KMS key ring to which the KMS key belongs. The KMS key ring name. compute.platform.gcp.osDisk.encryptionKey.kmsKey.location For compute machines, the GCP location in which the key ring exists. For more information on KMS locations, see Google's documentation on Cloud KMS locations . The GCP location for the key ring. compute.platform.gcp.osDisk.encryptionKey.kmsKey.projectID For compute machines, the ID of the project in which the KMS key ring exists. This value defaults to the VM project ID if not set. The GCP project ID. compute.platform.gcp.osImage.project Optional. By default, the installation program downloads and installs the RHCOS image that is used to boot compute machines. You can override the default behavior by specifying the location of a custom RHCOS image for the installation program to use for compute machines only. String. The name of GCP project where the image is located. compute.platform.gcp.osImage.name The name of the custom RHCOS image for the installation program to use to boot compute machines. If you use compute.platform.gcp.osImage.project , this field is required. String. The name of the RHCOS image. 8.9.7.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.36. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. Additional resources Optimizing storage 8.9.7.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.25. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.9.7.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . As part of the installation process, you specify the custom machine type in the install-config.yaml file. Sample install-config.yaml file with a custom machine type compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3 8.9.7.5. Sample customized install-config.yaml file for GCP You can customize the install-config.yaml file to specify more details about your OpenShift Container Platform cluster's platform or modify the values of the required parameters. Important This sample YAML file is provided for reference only. You must obtain your install-config.yaml file by using the installation program and modify it. apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name network: existing_vpc 16 controlPlaneSubnet: control_plane_subnet 17 computeSubnet: compute_subnet 18 pullSecret: '{"auths": ...}' 19 fips: false 20 sshKey: ssh-ed25519 AAAA... 21 publish: Internal 22 1 12 13 14 19 Required. The installation program prompts you for this value. 2 7 If you do not provide these parameters and values, the installation program provides the default value. 3 8 The controlPlane section is a single mapping, but the compute section is a sequence of mappings. To meet the requirements of the different data structures, the first line of the compute section must begin with a hyphen, - , and the first line of the controlPlane section must not. Only one control plane pool is used. 4 9 Whether to enable or disable simultaneous multithreading, or hyperthreading . By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. You can disable it by setting the parameter value to Disabled . If you disable simultaneous multithreading in some cluster machines, you must disable it in all cluster machines. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Use larger machine types, such as n1-standard-8 , for your machines if you disable simultaneous multithreading. 5 10 Optional: The custom encryption key section to encrypt both virtual machines and persistent volumes. Your default compute service account must have the permissions granted to use your KMS key and have the correct IAM role assigned. The default service account name follows the service-<project_number>@compute-system.iam.gserviceaccount.com pattern. For more information on granting the correct permissions for your service account, see "Machine management" "Creating machine sets" "Creating a machine set on GCP". 6 11 15 Optional: A custom Red Hat Enterprise Linux CoreOS (RHCOS) image for the installation program to use to boot control plane and compute machines. The project and name parameters under platform.gcp.defaultMachinePlatform.osImage apply to both control plane and compute machines. If the project and name parameters under controlPlane.platform.gcp.osImage or compute.platform.gcp.osImage are set, they override the platform.gcp.defaultMachinePlatform.osImage parameters. 16 Specify the name of an existing VPC. 17 Specify the name of the existing subnet to deploy the control plane machines to. The subnet must belong to the VPC that you specified. 18 Specify the name of the existing subnet to deploy the compute machines to. The subnet must belong to the VPC that you specified. 20 Whether to enable or disable FIPS mode. By default, FIPS mode is not enabled. If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important To enable FIPS mode for your cluster, you must run the installation program from a Red Hat Enterprise Linux (RHEL) computer configured to operate in FIPS mode. For more information about configuring FIPS mode on RHEL, see Installing the system in FIPS mode . The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. 21 You can optionally provide the sshKey value that you use to access the machines in your cluster. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. 22 How to publish the user-facing endpoints of your cluster. Set publish to Internal to deploy a private cluster, which cannot be accessed from the internet. The default value is External . 8.9.7.6. Create an Ingress Controller with global access on GCP You can create an Ingress Controller that has global access to a Google Cloud Platform (GCP) cluster. Global access is only available to Ingress Controllers using internal load balancers. Prerequisites You created the install-config.yaml and complete any modifications to it. Procedure Create an Ingress Controller with global access on a new GCP cluster. Change to the directory that contains the installation program and create a manifest file: USD ./openshift-install create manifests --dir <installation_directory> 1 1 For <installation_directory> , specify the name of the directory that contains the install-config.yaml file for your cluster. Create a file that is named cluster-ingress-default-ingresscontroller.yaml in the <installation_directory>/manifests/ directory: USD touch <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml 1 1 For <installation_directory> , specify the directory name that contains the manifests/ directory for your cluster. After creating the file, several network configuration files are in the manifests/ directory, as shown: USD ls <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml Example output cluster-ingress-default-ingresscontroller.yaml Open the cluster-ingress-default-ingresscontroller.yaml file in an editor and enter a custom resource (CR) that describes the Operator configuration you want: Sample clientAccess configuration to Global apiVersion: operator.openshift.io/v1 kind: IngressController metadata: name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: providerParameters: gcp: clientAccess: Global 1 type: GCP scope: Internal 2 type: LoadBalancerService 1 Set gcp.clientAccess to Global . 2 Global access is only available to Ingress Controllers using internal load balancers. 8.9.8. Additional resources Enabling customer-managed encryption keys for a machine set 8.9.8.1. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.9.9. Deploying the cluster You can install OpenShift Container Platform on a compatible cloud platform. Important You can run the create cluster command of the installation program only once, during initial installation. Prerequisites Configure an account with the cloud platform that hosts your cluster. Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Remove any existing GCP credentials that do not use the service account key for the GCP account that you configured for your cluster and that are stored in the following locations: The GOOGLE_CREDENTIALS , GOOGLE_CLOUD_KEYFILE_JSON , or GCLOUD_KEYFILE_JSON environment variables The ~/.gcp/osServiceAccount.json file The gcloud cli default credentials Change to the directory that contains the installation program and initialize the cluster deployment: USD ./openshift-install create cluster --dir <installation_directory> \ 1 --log-level=info 2 1 For <installation_directory> , specify the location of your customized ./install-config.yaml file. 2 To view different installation details, specify warn , debug , or error instead of info . Note If the cloud provider account that you configured on your host does not have sufficient permissions to deploy the cluster, the installation process stops, and the missing permissions are displayed. Optional: You can reduce the number of permissions for the service account that you used to install the cluster. If you assigned the Owner role to your service account, you can remove that role and replace it with the Viewer role. If you included the Service Account Key Admin role, you can remove it. Verification When the cluster deployment completes successfully: The terminal displays directions for accessing your cluster, including a link to the web console and credentials for the kubeadmin user. Credential information also outputs to <installation_directory>/.openshift_install.log . Important Do not delete the installation program or the files that the installation program creates. Both are required to delete the cluster. Example output ... INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: "kubeadmin", and password: "password" INFO Time elapsed: 36m22s Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. 8.9.10. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.9.11. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin Additional resources See Accessing the web console for more details about accessing and understanding the OpenShift Container Platform web console. 8.9.12. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.9.13. steps Customize your cluster . If necessary, you can opt out of remote health reporting . 8.10. Installing a cluster on user-provisioned infrastructure in GCP by using Deployment Manager templates In OpenShift Container Platform version 4.11, you can install a cluster on Google Cloud Platform (GCP) that uses infrastructure that you provide. The steps for performing a user-provided infrastructure install are outlined here. Several Deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods. Important The steps for performing a user-provisioned infrastructure installation are provided as an example only. Installing a cluster with infrastructure you provide requires knowledge of the cloud provider and the installation process of OpenShift Container Platform. Several Deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods; the templates are just an example. 8.10.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . If you use a firewall and plan to use the Telemetry service, you configured the firewall to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . Note Be sure to also review this site list if you are configuring a proxy. 8.10.2. Certificate signing requests management Because your cluster has limited access to automatic machine management when you use infrastructure that you provision, you must provide a mechanism for approving cluster certificate signing requests (CSRs) after installation. The kube-controller-manager only approves the kubelet client CSRs. The machine-approver cannot guarantee the validity of a serving certificate that is requested by using kubelet credentials because it cannot confirm that the correct machine issued the request. You must determine and implement a method of verifying the validity of the kubelet serving certificate requests and approving them. 8.10.3. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.10.4. Configuring your GCP project Before you can install OpenShift Container Platform, you must configure a Google Cloud Platform (GCP) project to host it. 8.10.4.1. Creating a GCP project To install OpenShift Container Platform, you must create a project in your Google Cloud Platform (GCP) account to host the cluster. Procedure Create a project to host your OpenShift Container Platform cluster. See Creating and Managing Projects in the GCP documentation. Important Your GCP project must use the Premium Network Service Tier if you are using installer-provisioned infrastructure. The Standard Network Service Tier is not supported for clusters installed using the installation program. The installation program configures internal load balancing for the api-int.<cluster_name>.<base_domain> URL; the Premium Tier is required for internal load balancing. 8.10.4.2. Enabling API services in GCP Your Google Cloud Platform (GCP) project requires access to several API services to complete OpenShift Container Platform installation. Prerequisites You created a project to host your cluster. Procedure Enable the following required API services in the project that hosts your cluster. You may also enable optional API services which are not required for installation. See Enabling services in the GCP documentation. Table 8.37. Required API services API service Console service name Compute Engine API compute.googleapis.com Cloud Resource Manager API cloudresourcemanager.googleapis.com Google DNS API dns.googleapis.com IAM Service Account Credentials API iamcredentials.googleapis.com Identity and Access Management (IAM) API iam.googleapis.com Service Usage API serviceusage.googleapis.com Table 8.38. Optional API services API service Console service name Cloud Deployment Manager V2 API deploymentmanager.googleapis.com Google Cloud APIs cloudapis.googleapis.com Service Management API servicemanagement.googleapis.com Google Cloud Storage JSON API storage-api.googleapis.com Cloud Storage storage-component.googleapis.com 8.10.4.3. Configuring DNS for GCP To install OpenShift Container Platform, the Google Cloud Platform (GCP) account you use must have a dedicated public hosted zone in the same project that you host the OpenShift Container Platform cluster. This zone must be authoritative for the domain. The DNS service provides cluster DNS resolution and name lookup for external connections to the cluster. Procedure Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through GCP or another source. Note If you purchase a new domain, it can take time for the relevant DNS changes to propagate. For more information about purchasing domains through Google, see Google Domains . Create a public hosted zone for your domain or subdomain in your GCP project. See Creating public zones in the GCP documentation. Use an appropriate root domain, such as openshiftcorp.com , or subdomain, such as clusters.openshiftcorp.com . Extract the new authoritative name servers from the hosted zone records. See Look up your Cloud DNS name servers in the GCP documentation. You typically have four name servers. Update the registrar records for the name servers that your domain uses. For example, if you registered your domain to Google Domains, see the following topic in the Google Domains Help: How to switch to custom name servers . If you migrated your root domain to Google Cloud DNS, migrate your DNS records. See Migrating to Cloud DNS in the GCP documentation. If you use a subdomain, follow your company's procedures to add its delegation records to the parent domain. This process might include a request to your company's IT department or the division that controls the root domain and DNS services for your company. 8.10.4.4. GCP account limits The OpenShift Container Platform cluster uses a number of Google Cloud Platform (GCP) components, but the default Quotas do not affect your ability to install a default OpenShift Container Platform cluster. A default cluster, which contains three compute and three control plane machines, uses the following resources. Note that some resources are required only during the bootstrap process and are removed after the cluster deploys. Table 8.39. GCP resources used in a default cluster Service Component Location Total resources required Resources removed after bootstrap Service account IAM Global 5 0 Firewall rules Networking Global 11 1 Forwarding rules Compute Global 2 0 Health checks Compute Global 2 0 Images Compute Global 1 0 Networks Networking Global 1 0 Routers Networking Global 1 0 Routes Networking Global 2 0 Subnetworks Compute Global 2 0 Target pools Networking Global 2 0 Note If any of the quotas are insufficient during installation, the installation program displays an error that states both which quota was exceeded and the region. Be sure to consider your actual cluster size, planned cluster growth, and any usage from other clusters that are associated with your account. The CPU, static IP addresses, and persistent disk SSD (storage) quotas are the ones that are most likely to be insufficient. If you plan to deploy your cluster in one of the following regions, you will exceed the maximum storage quota and are likely to exceed the CPU quota limit: asia-east2 asia-northeast2 asia-south1 australia-southeast1 europe-north1 europe-west2 europe-west3 europe-west6 northamerica-northeast1 southamerica-east1 us-west2 You can increase resource quotas from the GCP console , but you might need to file a support ticket. Be sure to plan your cluster size early so that you can allow time to resolve the support ticket before you install your OpenShift Container Platform cluster. 8.10.4.5. Creating a service account in GCP OpenShift Container Platform requires a Google Cloud Platform (GCP) service account that provides authentication and authorization to access data in the Google APIs. If you do not have an existing IAM service account that contains the required roles in your project, you must create one. Prerequisites You created a project to host your cluster. Procedure Create a service account in the project that you use to host your OpenShift Container Platform cluster. See Creating a service account in the GCP documentation. Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the Owner role to it. See Granting roles to a service account for specific resources . Note While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable. Create the service account key in JSON format. See Creating service account keys in the GCP documentation. The service account key is required to create a cluster. 8.10.4.6. Required GCP roles When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. If your organization's security policies require a more restrictive set of permissions, you can create a service account with the following permissions. If you deploy your cluster into an existing virtual private cloud (VPC), the service account does not require certain networking permissions, which are noted in the following lists: Required roles for the installation program Compute Admin Security Admin Service Account Admin Service Account Key Admin Service Account User Storage Admin Required roles for creating network resources during installation DNS Administrator Required roles for user-provisioned GCP infrastructure Deployment Manager Editor The roles are applied to the service accounts that the control plane and compute machines use: Table 8.40. GCP service account permissions Account Roles Control Plane roles/compute.instanceAdmin roles/compute.networkAdmin roles/compute.securityAdmin roles/storage.admin roles/iam.serviceAccountUser Compute roles/compute.viewer roles/storage.admin 8.10.4.7. Required GCP permissions for user-provisioned infrastructure When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. If your organization's security policies require a more restrictive set of permissions, you can create custom roles with the necessary permissions. The following permissions are required for the user-provisioned infrastructure for creating and deleting the OpenShift Container Platform cluster. Example 8.26. Required permissions for creating network resources compute.addresses.create compute.addresses.createInternal compute.addresses.delete compute.addresses.get compute.addresses.list compute.addresses.use compute.addresses.useInternal compute.firewalls.create compute.firewalls.delete compute.firewalls.get compute.firewalls.list compute.forwardingRules.create compute.forwardingRules.get compute.forwardingRules.list compute.forwardingRules.setLabels compute.networks.create compute.networks.get compute.networks.list compute.networks.updatePolicy compute.routers.create compute.routers.get compute.routers.list compute.routers.update compute.routes.list compute.subnetworks.create compute.subnetworks.get compute.subnetworks.list compute.subnetworks.use compute.subnetworks.useExternalIp Example 8.27. Required permissions for creating load balancer resources compute.regionBackendServices.create compute.regionBackendServices.get compute.regionBackendServices.list compute.regionBackendServices.update compute.regionBackendServices.use compute.targetPools.addInstance compute.targetPools.create compute.targetPools.get compute.targetPools.list compute.targetPools.removeInstance compute.targetPools.use Example 8.28. Required permissions for creating DNS resources dns.changes.create dns.changes.get dns.managedZones.create dns.managedZones.get dns.managedZones.list dns.networks.bindPrivateDNSZone dns.resourceRecordSets.create dns.resourceRecordSets.list dns.resourceRecordSets.update Example 8.29. Required permissions for creating Service Account resources iam.serviceAccountKeys.create iam.serviceAccountKeys.delete iam.serviceAccountKeys.get iam.serviceAccountKeys.list iam.serviceAccounts.actAs iam.serviceAccounts.create iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.get resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 8.30. Required permissions for creating compute resources compute.disks.create compute.disks.get compute.disks.list compute.instanceGroups.create compute.instanceGroups.delete compute.instanceGroups.get compute.instanceGroups.list compute.instanceGroups.update compute.instanceGroups.use compute.instances.create compute.instances.delete compute.instances.get compute.instances.list compute.instances.setLabels compute.instances.setMetadata compute.instances.setServiceAccount compute.instances.setTags compute.instances.use compute.machineTypes.get compute.machineTypes.list Example 8.31. Required for creating storage resources storage.buckets.create storage.buckets.delete storage.buckets.get storage.buckets.list storage.objects.create storage.objects.delete storage.objects.get storage.objects.list Example 8.32. Required permissions for creating health check resources compute.healthChecks.create compute.healthChecks.get compute.healthChecks.list compute.healthChecks.useReadOnly compute.httpHealthChecks.create compute.httpHealthChecks.get compute.httpHealthChecks.list compute.httpHealthChecks.useReadOnly Example 8.33. Required permissions to get GCP zone and region related information compute.globalOperations.get compute.regionOperations.get compute.regions.list compute.zoneOperations.get compute.zones.get compute.zones.list Example 8.34. Required permissions for checking services and quotas monitoring.timeSeries.list serviceusage.quotas.get serviceusage.services.list Example 8.35. Required IAM permissions for installation iam.roles.get Example 8.36. Required Images permissions for installation compute.images.create compute.images.delete compute.images.get compute.images.list Example 8.37. Optional permission for running gather bootstrap compute.instances.getSerialPortOutput Example 8.38. Required permissions for deleting network resources compute.addresses.delete compute.addresses.deleteInternal compute.addresses.list compute.firewalls.delete compute.firewalls.list compute.forwardingRules.delete compute.forwardingRules.list compute.networks.delete compute.networks.list compute.networks.updatePolicy compute.routers.delete compute.routers.list compute.routes.list compute.subnetworks.delete compute.subnetworks.list Example 8.39. Required permissions for deleting load balancer resources compute.regionBackendServices.delete compute.regionBackendServices.list compute.targetPools.delete compute.targetPools.list Example 8.40. Required permissions for deleting DNS resources dns.changes.create dns.managedZones.delete dns.managedZones.get dns.managedZones.list dns.resourceRecordSets.delete dns.resourceRecordSets.list Example 8.41. Required permissions for deleting Service Account resources iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 8.42. Required permissions for deleting compute resources compute.disks.delete compute.disks.list compute.instanceGroups.delete compute.instanceGroups.list compute.instances.delete compute.instances.list compute.instances.stop compute.machineTypes.list Example 8.43. Required for deleting storage resources storage.buckets.delete storage.buckets.getIamPolicy storage.buckets.list storage.objects.delete storage.objects.list Example 8.44. Required permissions for deleting health check resources compute.healthChecks.delete compute.healthChecks.list compute.httpHealthChecks.delete compute.httpHealthChecks.list Example 8.45. Required Images permissions for deletion compute.images.delete compute.images.list Example 8.46. Required permissions to get Region related information compute.regions.get Example 8.47. Required Deployment Manager permissions deploymentmanager.deployments.create deploymentmanager.deployments.delete deploymentmanager.deployments.get deploymentmanager.deployments.list deploymentmanager.manifests.get deploymentmanager.operations.get deploymentmanager.resources.list Additional resources Optimizing storage 8.10.4.8. Supported GCP regions You can deploy an OpenShift Container Platform cluster to the following Google Cloud Platform (GCP) regions: asia-east1 (Changhua County, Taiwan) asia-east2 (Hong Kong) asia-northeast1 (Tokyo, Japan) asia-northeast2 (Osaka, Japan) asia-northeast3 (Seoul, South Korea) asia-south1 (Mumbai, India) asia-south2 (Delhi, India) asia-southeast1 (Jurong West, Singapore) asia-southeast2 (Jakarta, Indonesia) australia-southeast1 (Sydney, Australia) australia-southeast2 (Melbourne, Australia) europe-central2 (Warsaw, Poland) europe-north1 (Hamina, Finland) europe-southwest1 (Madrid, Spain) europe-west1 (St. Ghislain, Belgium) europe-west2 (London, England, UK) europe-west3 (Frankfurt, Germany) europe-west4 (Eemshaven, Netherlands) europe-west6 (Zurich, Switzerland) europe-west8 (Milan, Italy) europe-west9 (Paris, France) europe-west12 (Turin, Italy) northamerica-northeast1 (Montreal, Quebec, Canada) northamerica-northeast2 (Toronto, Ontario, Canada) southamerica-east1 (Sao Paulo, Brazil) southamerica-west1 (Santiago, Chile) us-central1 (Council Bluffs, Iowa, USA) us-east1 (Moncks Corner, South Carolina, USA) us-east4 (Ashburn, Northern Virginia, USA) us-east5 (Columbus, Ohio) us-south1 (Dallas, Texas) us-west1 (The Dalles, Oregon, USA) us-west2 (Los Angeles, California, USA) us-west3 (Salt Lake City, Utah, USA) us-west4 (Las Vegas, Nevada, USA) Note To determine which machine type instances are available by region and zone, see the Google documentation . 8.10.4.9. Installing and configuring CLI tools for GCP To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must install and configure the CLI tools for GCP. Prerequisites You created a project to host your cluster. You created a service account and granted it the required permissions. Procedure Install the following binaries in USDPATH : gcloud gsutil See Install the latest Cloud SDK version in the GCP documentation. Authenticate using the gcloud tool with your configured service account. See Authorizing with a service account in the GCP documentation. 8.10.5. Requirements for a cluster with user-provisioned infrastructure For a cluster that contains user-provisioned infrastructure, you must deploy all of the required machines. This section describes the requirements for deploying OpenShift Container Platform on user-provisioned infrastructure. 8.10.5.1. Required machines for cluster installation The smallest OpenShift Container Platform clusters require the following hosts: Table 8.41. Minimum required hosts Hosts Description One temporary bootstrap machine The cluster requires the bootstrap machine to deploy the OpenShift Container Platform cluster on the three control plane machines. You can remove the bootstrap machine after you install the cluster. Three control plane machines The control plane machines run the Kubernetes and OpenShift Container Platform services that form the control plane. At least two compute machines, which are also known as worker machines. The workloads requested by OpenShift Container Platform users run on the compute machines. Important To maintain high availability of your cluster, use separate physical hosts for these cluster machines. The bootstrap and control plane machines must use Red Hat Enterprise Linux CoreOS (RHCOS) as the operating system. However, the compute machines can choose between Red Hat Enterprise Linux CoreOS (RHCOS), Red Hat Enterprise Linux (RHEL) 8.6 and later. Note that RHCOS is based on Red Hat Enterprise Linux (RHEL) 8 and inherits all of its hardware certifications and requirements. See Red Hat Enterprise Linux technology capabilities and limits . 8.10.5.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.42. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. 8.10.5.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.48. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.10.5.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . 8.10.6. Creating the installation files for GCP To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must generate the files that the installation program needs to deploy your cluster and modify them so that the cluster creates only the machines that it will use. You generate and customize the install-config.yaml file, Kubernetes manifests, and Ignition config files. You also have the option to first set up a separate var partition during the preparation phases of installation. 8.10.6.1. Optional: Creating a separate /var partition It is recommended that disk partitioning for OpenShift Container Platform be left to the installer. However, there are cases where you might want to create separate partitions in a part of the filesystem that you expect to grow. OpenShift Container Platform supports the addition of a single partition to attach storage to either the /var partition or a subdirectory of /var . For example: /var/lib/containers : Holds container-related content that can grow as more images and containers are added to a system. /var/lib/etcd : Holds data that you might want to keep separate for purposes such as performance optimization of etcd storage. /var : Holds data that you might want to keep separate for purposes such as auditing. Storing the contents of a /var directory separately makes it easier to grow storage for those areas as needed and reinstall OpenShift Container Platform at a later date and keep that data intact. With this method, you will not have to pull all your containers again, nor will you have to copy massive log files when you update systems. Because /var must be in place before a fresh installation of Red Hat Enterprise Linux CoreOS (RHCOS), the following procedure sets up the separate /var partition by creating a machine config manifest that is inserted during the openshift-install preparation phases of an OpenShift Container Platform installation. Important If you follow the steps to create a separate /var partition in this procedure, it is not necessary to create the Kubernetes manifest and Ignition config files again as described later in this section. Procedure Create a directory to hold the OpenShift Container Platform installation files: USD mkdir USDHOME/clusterconfig Run openshift-install to create a set of files in the manifest and openshift subdirectories. Answer the system questions as you are prompted: USD openshift-install create manifests --dir USDHOME/clusterconfig Example output ? SSH Public Key ... INFO Credentials loaded from the "myprofile" profile in file "/home/myuser/.aws/credentials" INFO Consuming Install Config from target directory INFO Manifests created in: USDHOME/clusterconfig/manifests and USDHOME/clusterconfig/openshift Optional: Confirm that the installation program created manifests in the clusterconfig/openshift directory: USD ls USDHOME/clusterconfig/openshift/ Example output 99_kubeadmin-password-secret.yaml 99_openshift-cluster-api_master-machines-0.yaml 99_openshift-cluster-api_master-machines-1.yaml 99_openshift-cluster-api_master-machines-2.yaml ... Create a Butane config that configures the additional partition. For example, name the file USDHOME/clusterconfig/98-var-partition.bu , change the disk device name to the name of the storage device on the worker systems, and set the storage size as appropriate. This example places the /var directory on a separate partition: variant: openshift version: 4.11.0 metadata: labels: machineconfiguration.openshift.io/role: worker name: 98-var-partition storage: disks: - device: /dev/<device_name> 1 partitions: - label: var start_mib: <partition_start_offset> 2 size_mib: <partition_size> 3 filesystems: - device: /dev/disk/by-partlabel/var path: /var format: xfs mount_options: [defaults, prjquota] 4 with_mount_unit: true 1 The storage device name of the disk that you want to partition. 2 When adding a data partition to the boot disk, a minimum value of 25000 MiB (Mebibytes) is recommended. The root file system is automatically resized to fill all available space up to the specified offset. If no value is specified, or if the specified value is smaller than the recommended minimum, the resulting root file system will be too small, and future reinstalls of RHCOS might overwrite the beginning of the data partition. 3 The size of the data partition in mebibytes. 4 The prjquota mount option must be enabled for filesystems used for container storage. Note When creating a separate /var partition, you cannot use different instance types for worker nodes, if the different instance types do not have the same device name. Create a manifest from the Butane config and save it to the clusterconfig/openshift directory. For example, run the following command: USD butane USDHOME/clusterconfig/98-var-partition.bu -o USDHOME/clusterconfig/openshift/98-var-partition.yaml Run openshift-install again to create Ignition configs from a set of files in the manifest and openshift subdirectories: USD openshift-install create ignition-configs --dir USDHOME/clusterconfig USD ls USDHOME/clusterconfig/ auth bootstrap.ign master.ign metadata.json worker.ign Now you can use the Ignition config files as input to the installation procedures to install Red Hat Enterprise Linux CoreOS (RHCOS) systems. 8.10.6.2. Creating the installation configuration file You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP). Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Obtain service principal permissions at the subscription level. Procedure Create the install-config.yaml file. Change to the directory that contains the installation program and run the following command: USD ./openshift-install create install-config --dir <installation_directory> 1 1 For <installation_directory> , specify the directory name to store the files that the installation program creates. When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. At the prompts, provide the configuration details for your cloud: Optional: Select an SSH key to use to access your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Select gcp as the platform to target. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. Paste the pull secret from the Red Hat OpenShift Cluster Manager . Optional: If you do not want the cluster to provision compute machines, empty the compute pool by editing the resulting install-config.yaml file to set replicas to 0 for the compute pool: compute: - hyperthreading: Enabled name: worker platform: {} replicas: 0 1 1 Set to 0 . Modify the install-config.yaml file. You can find more information about the available parameters in the "Installation configuration parameters" section. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now. 8.10.6.3. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.10.6.4. Creating the Kubernetes manifest and Ignition config files Because you must modify some cluster definition files and manually start the cluster machines, you must generate the Kubernetes manifest and Ignition config files that the cluster needs to configure the machines. The installation configuration file transforms into the Kubernetes manifests. The manifests wrap into the Ignition configuration files, which are later used to configure the cluster machines. Important The Ignition config files that the OpenShift Container Platform installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Prerequisites You obtained the OpenShift Container Platform installation program. You created the install-config.yaml installation configuration file. Procedure Change to the directory that contains the OpenShift Container Platform installation program and generate the Kubernetes manifests for the cluster: USD ./openshift-install create manifests --dir <installation_directory> 1 1 For <installation_directory> , specify the installation directory that contains the install-config.yaml file you created. Remove the Kubernetes manifest files that define the control plane machines: USD rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml By removing these files, you prevent the cluster from automatically generating control plane machines. Optional: If you do not want the cluster to provision compute machines, remove the Kubernetes manifest files that define the worker machines: USD rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml Because you create and manage the worker machines yourself, you do not need to initialize these machines. Check that the mastersSchedulable parameter in the <installation_directory>/manifests/cluster-scheduler-02-config.yml Kubernetes manifest file is set to false . This setting prevents pods from being scheduled on the control plane machines: Open the <installation_directory>/manifests/cluster-scheduler-02-config.yml file. Locate the mastersSchedulable parameter and ensure that it is set to false . Save and exit the file. Optional: If you do not want the Ingress Operator to create DNS records on your behalf, remove the privateZone and publicZone sections from the <installation_directory>/manifests/cluster-dns-02-config.yml DNS configuration file: apiVersion: config.openshift.io/v1 kind: DNS metadata: creationTimestamp: null name: cluster spec: baseDomain: example.openshift.com privateZone: 1 id: mycluster-100419-private-zone publicZone: 2 id: example.openshift.com status: {} 1 2 Remove this section completely. If you do so, you must add ingress DNS records manually in a later step. To create the Ignition configuration files, run the following command from the directory that contains the installation program: USD ./openshift-install create ignition-configs --dir <installation_directory> 1 1 For <installation_directory> , specify the same installation directory. Ignition config files are created for the bootstrap, control plane, and compute nodes in the installation directory. The kubeadmin-password and kubeconfig files are created in the ./<installation_directory>/auth directory: Additional resources Optional: Adding the ingress DNS records 8.10.7. Exporting common variables 8.10.7.1. Extracting the infrastructure name The Ignition config files contain a unique cluster identifier that you can use to uniquely identify your cluster in Google Cloud Platform (GCP). The infrastructure name is also used to locate the appropriate GCP resources during an OpenShift Container Platform installation. The provided Deployment Manager templates contain references to this infrastructure name, so you must extract it. Prerequisites You obtained the OpenShift Container Platform installation program and the pull secret for your cluster. You generated the Ignition config files for your cluster. You installed the jq package. Procedure To extract and view the infrastructure name from the Ignition config file metadata, run the following command: USD jq -r .infraID <installation_directory>/metadata.json 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Example output openshift-vw9j6 1 1 The output of this command is your cluster name and a random string. 8.10.7.2. Exporting common variables for Deployment Manager templates You must export a common set of variables that are used with the provided Deployment Manager templates used to assist in completing a user-provided infrastructure install on Google Cloud Platform (GCP). Note Specific Deployment Manager templates can also require additional exported variables, which are detailed in their related procedures. Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Generate the Ignition config files for your cluster. Install the jq package. Procedure Export the following common variables to be used by the provided Deployment Manager templates: USD export BASE_DOMAIN='<base_domain>' USD export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' USD export NETWORK_CIDR='10.0.0.0/16' USD export MASTER_SUBNET_CIDR='10.0.0.0/17' USD export WORKER_SUBNET_CIDR='10.0.128.0/17' USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 USD export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json` USD export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json` USD export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json` USD export REGION=`jq -r .gcp.region <installation_directory>/metadata.json` 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. 8.10.8. Creating a VPC in GCP You must create a VPC in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. You can customize the VPC to meet your requirements. One way to create the VPC is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Procedure Copy the template from the Deployment Manager template for the VPC section of this topic and save it as 01_vpc.py on your computer. This template describes the VPC that your cluster requires. Create a 01_vpc.yaml resource definition file: USD cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{WORKER_SUBNET_CIDR}' 4 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 region is the region to deploy the cluster into, for example us-central1 . 3 master_subnet_cidr is the CIDR for the master subnet, for example 10.0.0.0/17 . 4 worker_subnet_cidr is the CIDR for the worker subnet, for example 10.0.128.0/17 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-vpc --config 01_vpc.yaml 8.10.8.1. Deployment Manager template for the VPC You can use the following Deployment Manager template to deploy the VPC that you need for your OpenShift Container Platform cluster: Example 8.49. 01_vpc.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-network', 'type': 'compute.v1.network', 'properties': { 'region': context.properties['region'], 'autoCreateSubnetworks': False } }, { 'name': context.properties['infra_id'] + '-master-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['master_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-worker-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources} 8.10.9. Networking requirements for user-provisioned infrastructure All the Red Hat Enterprise Linux CoreOS (RHCOS) machines require networking to be configured in initramfs during boot to fetch their Ignition config files. 8.10.9.1. Setting the cluster node hostnames through DHCP On Red Hat Enterprise Linux CoreOS (RHCOS) machines, the hostname is set through NetworkManager. By default, the machines obtain their hostname through DHCP. If the hostname is not provided by DHCP, set statically through kernel arguments, or another method, it is obtained through a reverse DNS lookup. Reverse DNS lookup occurs after the network has been initialized on a node and can take time to resolve. Other system services can start prior to this and detect the hostname as localhost or similar. You can avoid this by using DHCP to provide the hostname for each cluster node. Additionally, setting the hostnames through DHCP can bypass any manual DNS record name configuration errors in environments that have a DNS split-horizon implementation. 8.10.9.2. Network connectivity requirements You must configure the network connectivity between machines to allow OpenShift Container Platform cluster components to communicate. Each machine must be able to resolve the hostnames of all other machines in the cluster. This section provides details about the ports that are required. Important In connected OpenShift Container Platform environments, all nodes are required to have internet access to pull images for platform containers and provide telemetry data to Red Hat. Table 8.43. Ports used for all-machine to all-machine communications Protocol Port Description ICMP N/A Network reachability tests TCP 1936 Metrics 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 and the Cluster Version Operator on port 9099 . 10250 - 10259 The default ports that Kubernetes reserves 10256 openshift-sdn UDP 4789 VXLAN 6081 Geneve 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 . 500 IPsec IKE packets 4500 IPsec NAT-T packets TCP/UDP 30000 - 32767 Kubernetes node port ESP N/A IPsec Encapsulating Security Payload (ESP) Table 8.44. Ports used for all-machine to control plane communications Protocol Port Description TCP 6443 Kubernetes API Table 8.45. Ports used for control plane machine to control plane machine communications Protocol Port Description TCP 2379 - 2380 etcd server and peer ports 8.10.10. Creating load balancers in GCP You must configure load balancers in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for the internal load balancer section of this topic and save it as 02_lb_int.py on your computer. This template describes the internal load balancing objects that your cluster requires. For an external cluster, also copy the template from the Deployment Manager template for the external load balancer section of this topic and save it as 02_lb_ext.py on your computer. This template describes the external load balancing objects that your cluster requires. Export the variables that the deployment template uses: Export the cluster network location: USD export CLUSTER_NETWORK=(`gcloud compute networks describe USD{INFRA_ID}-network --format json | jq -r .selfLink`) Export the control plane subnet location: USD export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-master-subnet --region=USD{REGION} --format json | jq -r .selfLink`) Export the three zones that the cluster uses: USD export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d "/" -f9`) USD export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d "/" -f9`) USD export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`) Create a 02_infra.yaml resource definition file: USD cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF 1 2 Required only when deploying an external cluster. 3 infra_id is the INFRA_ID infrastructure name from the extraction step. 4 region is the region to deploy the cluster into, for example us-central1 . 5 control_subnet is the URI to the control subnet. 6 zones are the zones to deploy the control plane instances into, like us-east1-b , us-east1-c , and us-east1-d . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml Export the cluster IP address: USD export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`) For an external cluster, also export the cluster public IP address: USD export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`) 8.10.10.1. Deployment Manager template for the external load balancer You can use the following Deployment Manager template to deploy the external load balancer that you need for your OpenShift Container Platform cluster: Example 8.50. 02_lb_ext.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-cluster-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-http-health-check', 'type': 'compute.v1.httpHealthCheck', 'properties': { 'port': 6080, 'requestPath': '/readyz' } }, { 'name': context.properties['infra_id'] + '-api-target-pool', 'type': 'compute.v1.targetPool', 'properties': { 'region': context.properties['region'], 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'], 'instances': [] } }, { 'name': context.properties['infra_id'] + '-api-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'region': context.properties['region'], 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources} 8.10.10.2. Deployment Manager template for the internal load balancer You can use the following Deployment Manager template to deploy the internal load balancer that you need for your OpenShift Container Platform cluster: Example 8.51. 02_lb_int.py Deployment Manager template def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': "HTTPS" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources} You will need this template in addition to the 02_lb_ext.py template when you create an external cluster. 8.10.11. Creating a private DNS zone in GCP You must configure a private DNS zone in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create this component is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for the private DNS section of this topic and save it as 02_dns.py on your computer. This template describes the private DNS objects that your cluster requires. Create a 02_dns.yaml resource definition file: USD cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 cluster_domain is the domain for the cluster, for example openshift.example.com . 3 cluster_network is the selfLink URL to the cluster network. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml The templates do not create DNS entries due to limitations of Deployment Manager, so you must create them manually: Add the internal DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone For an external cluster, also add the external DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} 8.10.11.1. Deployment Manager template for the private DNS You can use the following Deployment Manager template to deploy the private DNS that you need for your OpenShift Container Platform cluster: Example 8.52. 02_dns.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-private-zone', 'type': 'dns.v1.managedZone', 'properties': { 'description': '', 'dnsName': context.properties['cluster_domain'] + '.', 'visibility': 'private', 'privateVisibilityConfig': { 'networks': [{ 'networkUrl': context.properties['cluster_network'] }] } } }] return {'resources': resources} 8.10.12. Creating firewall rules in GCP You must create firewall rules in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for firewall rules section of this topic and save it as 03_firewall.py on your computer. This template describes the security groups that your cluster requires. Create a 03_firewall.yaml resource definition file: USD cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF 1 allowed_external_cidr is the CIDR range that can access the cluster API and SSH to the bootstrap host. For an internal cluster, set this value to USD{NETWORK_CIDR} . 2 infra_id is the INFRA_ID infrastructure name from the extraction step. 3 cluster_network is the selfLink URL to the cluster network. 4 network_cidr is the CIDR of the VPC network, for example 10.0.0.0/16 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml 8.10.12.1. Deployment Manager template for firewall rules You can use the following Deployment Manager template to deploy the firewall rues that you need for your OpenShift Container Platform cluster: Example 8.53. 03_firewall.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-health-checks', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6080', '6443', '22624'] }], 'sourceRanges': ['35.191.0.0/16', '130.211.0.0/22', '209.85.152.0/22', '209.85.204.0/22'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-etcd', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['2379-2380'] }], 'sourceTags': [context.properties['infra_id'] + '-master'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-control-plane', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['10257'] },{ 'IPProtocol': 'tcp', 'ports': ['10259'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-internal-network', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'icmp' },{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['network_cidr']], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }, { 'name': context.properties['infra_id'] + '-internal-cluster', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'udp', 'ports': ['4789', '6081'] },{ 'IPProtocol': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ 'IPProtocol': 'tcp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'udp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'tcp', 'ports': ['10250'] },{ 'IPProtocol': 'tcp', 'ports': ['30000-32767'] },{ 'IPProtocol': 'udp', 'ports': ['30000-32767'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }] return {'resources': resources} 8.10.13. Creating IAM roles in GCP You must create IAM roles in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for IAM roles section of this topic and save it as 03_iam.py on your computer. This template describes the IAM roles that your cluster requires. Create a 03_iam.yaml resource definition file: USD cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml Export the variable for the master service account: USD export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the variable for the worker service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the variable for the subnet that hosts the compute machines: USD export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`) The templates do not create the policy bindings due to limitations of Deployment Manager, so you must create them manually: USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.instanceAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.securityAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/iam.serviceAccountUser" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/storage.admin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/compute.viewer" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/storage.admin" Create a service account key and store it locally for later use: USD gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT} 8.10.13.1. Deployment Manager template for IAM roles You can use the following Deployment Manager template to deploy the IAM roles that you need for your OpenShift Container Platform cluster: Example 8.54. 03_iam.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-m', 'displayName': context.properties['infra_id'] + '-master-node' } }, { 'name': context.properties['infra_id'] + '-worker-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-w', 'displayName': context.properties['infra_id'] + '-worker-node' } }] return {'resources': resources} 8.10.14. Creating the RHCOS cluster image for the GCP infrastructure You must use a valid Red Hat Enterprise Linux CoreOS (RHCOS) image for Google Cloud Platform (GCP) for your OpenShift Container Platform nodes. Procedure Obtain the RHCOS image from the RHCOS image mirror page. Important The RHCOS images might not change with every release of OpenShift Container Platform. You must download an image with the highest version that is less than or equal to the OpenShift Container Platform version that you install. Use the image version that matches your OpenShift Container Platform version if it is available. The file name contains the OpenShift Container Platform version number in the format rhcos-<version>-<arch>-gcp.<arch>.tar.gz . Create the Google storage bucket: USD gsutil mb gs://<bucket_name> Upload the RHCOS image to the Google storage bucket: USD gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name> Export the uploaded RHCOS image location as a variable: USD export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz Create the cluster image: USD gcloud compute images create "USD{INFRA_ID}-rhcos-image" \ --source-uri="USD{IMAGE_SOURCE}" 8.10.15. Creating the bootstrap machine in GCP You must create the bootstrap machine in Google Cloud Platform (GCP) to use during OpenShift Container Platform cluster initialization. One way to create this machine is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your bootstrap machine, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Ensure pyOpenSSL is installed. Procedure Copy the template from the Deployment Manager template for the bootstrap machine section of this topic and save it as 04_bootstrap.py on your computer. This template describes the bootstrap machine that your cluster requires. Export the location of the Red Hat Enterprise Linux CoreOS (RHCOS) image that the installation program requires: USD export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`) Create a bucket and upload the bootstrap.ign file: USD gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition USD gsutil cp <installation_directory>/bootstrap.ign gs://USD{INFRA_ID}-bootstrap-ignition/ Create a signed URL for the bootstrap instance to use to access the Ignition config. Export the URL from the output as a variable: USD export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep "^gs:" | awk '{print USD5}'` Create a 04_bootstrap.yaml resource definition file: USD cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{BOOTSTRAP_IGN}' 9 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 region is the region to deploy the cluster into, for example us-central1 . 3 zone is the zone to deploy the bootstrap instance into, for example us-central1-b . 4 cluster_network is the selfLink URL to the cluster network. 5 control_subnet is the selfLink URL to the control subnet. 6 image is the selfLink URL to the RHCOS image. 7 machine_type is the machine type of the instance, for example n1-standard-4 . 8 root_volume_size is the boot disk size for the bootstrap machine. 9 bootstrap_ign is the URL output when creating a signed URL. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-bootstrap --config 04_bootstrap.yaml The templates do not manage load balancer membership due to limitations of Deployment Manager, so you must add the bootstrap machine manually. Add the bootstrap instance to the internal load balancer instance group: USD gcloud compute instance-groups unmanaged add-instances \ USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap Add the bootstrap instance group to the internal load balancer backend service: USD gcloud compute backend-services add-backend \ USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} 8.10.15.1. Deployment Manager template for the bootstrap machine You can use the following Deployment Manager template to deploy the bootstrap machine that you need for your OpenShift Container Platform cluster: Example 8.55. 04_bootstrap.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { 'name': context.properties['infra_id'] + '-bootstrap', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': '{"ignition":{"config":{"replace":{"source":"' + context.properties['bootstrap_ign'] + '"}},"version":"3.2.0"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(ref.' + context.properties['infra_id'] + '-bootstrap-public-ip.address)' }] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-bootstrap' ] }, 'zone': context.properties['zone'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources} 8.10.16. Creating the control plane machines in GCP You must create the control plane machines in Google Cloud Platform (GCP) for your cluster to use. One way to create these machines is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your control plane machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Procedure Copy the template from the Deployment Manager template for control plane machines section of this topic and save it as 05_control_plane.py on your computer. This template describes the control plane machines that your cluster requires. Export the following variable required by the resource definition: USD export MASTER_IGNITION=`cat <installation_directory>/master.ign` Create a 05_control_plane.yaml resource definition file: USD cat <<EOF >05_control_plane.yaml imports: - path: 05_control_plane.py resources: - name: cluster-control-plane type: 05_control_plane.py properties: infra_id: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{MASTER_IGNITION}' 7 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 zones are the zones to deploy the control plane instances into, for example us-central1-a , us-central1-b , and us-central1-c . 3 control_subnet is the selfLink URL to the control subnet. 4 image is the selfLink URL to the RHCOS image. 5 machine_type is the machine type of the instance, for example n1-standard-4 . 6 service_account_email is the email address for the master service account that you created. 7 ignition is the contents of the master.ign file. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml The templates do not manage load balancer membership due to limitations of Deployment Manager, so you must add the control plane machines manually. Run the following commands to add the control plane machines to the appropriate instance groups: USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2 For an external cluster, you must also run the following commands to add the control plane machines to the target pools: USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_0}" --instances=USD{INFRA_ID}-master-0 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_1}" --instances=USD{INFRA_ID}-master-1 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_2}" --instances=USD{INFRA_ID}-master-2 8.10.16.1. Deployment Manager template for control plane machines You can use the following Deployment Manager template to deploy the control plane machines that you need for your OpenShift Container Platform cluster: Example 8.56. 05_control_plane.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-0', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][0] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][0] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][0] } }, { 'name': context.properties['infra_id'] + '-master-1', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][1] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][1] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][1] } }, { 'name': context.properties['infra_id'] + '-master-2', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][2] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][2] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][2] } }] return {'resources': resources} 8.10.17. Wait for bootstrap completion and remove bootstrap resources in GCP After you create all of the required infrastructure in Google Cloud Platform (GCP), wait for the bootstrap process to complete on the machines that you provisioned by using the Ignition config files that you generated with the installation program. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Procedure Change to the directory that contains the installation program and run the following command: USD ./openshift-install wait-for bootstrap-complete --dir <installation_directory> \ 1 --log-level info 2 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. 2 To view different installation details, specify warn , debug , or error instead of info . If the command exits without a FATAL warning, your production control plane has initialized. Delete the bootstrap resources: USD gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} USD gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign USD gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition USD gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap 8.10.18. Creating additional worker machines in GCP You can create worker machines in Google Cloud Platform (GCP) for your cluster to use by launching individual instances discretely or by automated processes outside the cluster, such as auto scaling groups. You can also take advantage of the built-in cluster scaling mechanisms and the machine API in OpenShift Container Platform. In this example, you manually launch one instance by using the Deployment Manager template. Additional instances can be launched by including additional resources of type 06_worker.py in the file. Note If you do not use the provided Deployment Manager template to create your worker machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Procedure Copy the template from the Deployment Manager template for worker machines section of this topic and save it as 06_worker.py on your computer. This template describes the worker machines that your cluster requires. Export the variables that the resource definition uses. Export the subnet that hosts the compute machines: USD export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`) Export the email address for your service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the location of the compute machine Ignition config file: USD export WORKER_IGNITION=`cat <installation_directory>/worker.ign` Create a 06_worker.yaml resource definition file: USD cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF 1 name is the name of the worker machine, for example worker-0 . 2 9 infra_id is the INFRA_ID infrastructure name from the extraction step. 3 10 zone is the zone to deploy the worker machine into, for example us-central1-a . 4 11 compute_subnet is the selfLink URL to the compute subnet. 5 12 image is the selfLink URL to the RHCOS image. 1 6 13 machine_type is the machine type of the instance, for example n1-standard-4 . 7 14 service_account_email is the email address for the worker service account that you created. 8 15 ignition is the contents of the worker.ign file. Optional: If you want to launch additional instances, include additional resources of type 06_worker.py in your 06_worker.yaml resource definition file. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml To use a GCP Marketplace image, specify the offer to use: OpenShift Container Platform: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-ocp-48-x86-64-202210040145 OpenShift Platform Plus: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-opp-48-x86-64-202206140145 OpenShift Kubernetes Engine: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-oke-48-x86-64-202206140145 8.10.18.1. Deployment Manager template for worker machines You can use the following Deployment Manager template to deploy the worker machines that you need for your OpenShift Container Platform cluster: Example 8.57. 06_worker.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-' + context.env['name'], 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['compute_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-worker', ] }, 'zone': context.properties['zone'] } }] return {'resources': resources} 8.10.19. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.10.20. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin 8.10.21. Approving the certificate signing requests for your machines When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests. Prerequisites You added machines to your cluster. Procedure Confirm that the cluster recognizes the machines: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.24.0 master-1 Ready master 63m v1.24.0 master-2 Ready master 64m v1.24.0 The output lists all of the machines that you created. Note The preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved. Review the pending CSRs and ensure that you see the client requests with the Pending or Approved status for each machine that you added to the cluster: USD oc get csr Example output NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ... In this example, two machines are joining the cluster. You might see more approved CSRs in the list. If the CSRs were not approved, after all of the pending CSRs for the machines you added are in Pending status, approve the CSRs for your cluster machines: Note Because the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the machine-approver if the Kubelet requests a new certificate with identical parameters. Note For clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the oc exec , oc rsh , and oc logs commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by the node-bootstrapper service account in the system:node or system:admin groups, and confirm the identity of the node. To approve them individually, run the following command for each valid CSR: USD oc adm certificate approve <csr_name> 1 1 <csr_name> is the name of a CSR from the list of current CSRs. To approve all pending CSRs, run the following command: USD oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve Note Some Operators might not become available until some CSRs are approved. Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster: USD oc get csr Example output NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ... If the remaining CSRs are not approved, and are in the Pending status, approve the CSRs for your cluster machines: To approve them individually, run the following command for each valid CSR: USD oc adm certificate approve <csr_name> 1 1 <csr_name> is the name of a CSR from the list of current CSRs. To approve all pending CSRs, run the following command: USD oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve After all client and server CSRs have been approved, the machines have the Ready status. Verify this by running the following command: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.24.0 master-1 Ready master 73m v1.24.0 master-2 Ready master 74m v1.24.0 worker-0 Ready worker 11m v1.24.0 worker-1 Ready worker 11m v1.24.0 Note It can take a few minutes after approval of the server CSRs for the machines to transition to the Ready status. Additional information For more information on CSRs, see Certificate Signing Requests . 8.10.22. Optional: Adding the ingress DNS records If you removed the DNS zone configuration when creating Kubernetes manifests and generating Ignition configs, you must manually create DNS records that point at the ingress load balancer. You can create either a wildcard *.apps.{baseDomain}. or specific records. You can use A, CNAME, and other records per your requirements. Prerequisites Configure a GCP account. Remove the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Create the worker machines. Procedure Wait for the Ingress router to create a load balancer and populate the EXTERNAL-IP field: USD oc -n openshift-ingress get service router-default Example output NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE router-default LoadBalancer 172.30.18.154 35.233.157.184 80:32288/TCP,443:31215/TCP 98 Add the A record to your zones: To use A records: Export the variable for the router IP address: USD export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'` Add the A record to the private zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone For an external cluster, also add the A record to the public zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} To add explicit domains instead of using a wildcard, create entries for each of the cluster's current routes: USD oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{"\n"}{end}{end}' routes Example output oauth-openshift.apps.your.cluster.domain.example.com console-openshift-console.apps.your.cluster.domain.example.com downloads-openshift-console.apps.your.cluster.domain.example.com alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com 8.10.23. Completing a GCP installation on user-provisioned infrastructure After you start the OpenShift Container Platform installation on Google Cloud Platform (GCP) user-provisioned infrastructure, you can monitor the cluster events until the cluster is ready. Prerequisites Deploy the bootstrap machine for an OpenShift Container Platform cluster on user-provisioned GCP infrastructure. Install the oc CLI and log in. Procedure Complete the cluster installation: USD ./openshift-install --dir <installation_directory> wait-for install-complete 1 Example output INFO Waiting up to 30m0s for the cluster to initialize... 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Observe the running state of your cluster. Run the following command to view the current cluster version and status: USD oc get clusterversion Example output NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete Run the following command to view the Operators managed on the control plane by the Cluster Version Operator (CVO): USD oc get clusteroperators Example output NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m Run the following command to view your cluster pods: USD oc get pods --all-namespaces Example output NAMESPACE NAME READY STATUS RESTARTS AGE kube-system etcd-member-ip-10-0-3-111.us-east-2.compute.internal 1/1 Running 0 35m kube-system etcd-member-ip-10-0-3-239.us-east-2.compute.internal 1/1 Running 0 37m kube-system etcd-member-ip-10-0-3-24.us-east-2.compute.internal 1/1 Running 0 35m openshift-apiserver-operator openshift-apiserver-operator-6d6674f4f4-h7t2t 1/1 Running 1 37m openshift-apiserver apiserver-fm48r 1/1 Running 0 30m openshift-apiserver apiserver-fxkvv 1/1 Running 0 29m openshift-apiserver apiserver-q85nm 1/1 Running 0 29m ... openshift-service-ca-operator openshift-service-ca-operator-66ff6dc6cd-9r257 1/1 Running 0 37m openshift-service-ca apiservice-cabundle-injector-695b6bcbc-cl5hm 1/1 Running 0 35m openshift-service-ca configmap-cabundle-injector-8498544d7-25qn6 1/1 Running 0 35m openshift-service-ca service-serving-cert-signer-6445fc9c6-wqdqn 1/1 Running 0 35m openshift-service-catalog-apiserver-operator openshift-service-catalog-apiserver-operator-549f44668b-b5q2w 1/1 Running 0 32m openshift-service-catalog-controller-manager-operator openshift-service-catalog-controller-manager-operator-b78cr2lnm 1/1 Running 0 31m When the current cluster version is AVAILABLE , the installation is complete. 8.10.24. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.10.25. steps Customize your cluster . If necessary, you can opt out of remote health reporting . Configure Global Access for an Ingress Controller on GCP . 8.11. Installing a cluster into a shared VPC on GCP using Deployment Manager templates In OpenShift Container Platform version 4.11, you can install a cluster into a shared Virtual Private Cloud (VPC) on Google Cloud Platform (GCP) that uses infrastructure that you provide. In this context, a cluster installed into a shared VPC is a cluster that is configured to use a VPC from a project different from where the cluster is being deployed. A shared VPC enables an organization to connect resources from multiple projects to a common VPC network. You can communicate within the organization securely and efficiently by using internal IPs from that network. For more information about shared VPC, see Shared VPC overview in the GCP documentation. The steps for performing a user-provided infrastructure installation into a shared VPC are outlined here. Several Deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods. Important The steps for performing a user-provisioned infrastructure installation are provided as an example only. Installing a cluster with infrastructure you provide requires knowledge of the cloud provider and the installation process of OpenShift Container Platform. Several Deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods; the templates are just an example. 8.11.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . If you use a firewall and plan to use the Telemetry service, you configured the firewall to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . Note Be sure to also review this site list if you are configuring a proxy. 8.11.2. Certificate signing requests management Because your cluster has limited access to automatic machine management when you use infrastructure that you provision, you must provide a mechanism for approving cluster certificate signing requests (CSRs) after installation. The kube-controller-manager only approves the kubelet client CSRs. The machine-approver cannot guarantee the validity of a serving certificate that is requested by using kubelet credentials because it cannot confirm that the correct machine issued the request. You must determine and implement a method of verifying the validity of the kubelet serving certificate requests and approving them. 8.11.3. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.11.4. Configuring the GCP project that hosts your cluster Before you can install OpenShift Container Platform, you must configure a Google Cloud Platform (GCP) project to host it. 8.11.4.1. Creating a GCP project To install OpenShift Container Platform, you must create a project in your Google Cloud Platform (GCP) account to host the cluster. Procedure Create a project to host your OpenShift Container Platform cluster. See Creating and Managing Projects in the GCP documentation. Important Your GCP project must use the Premium Network Service Tier if you are using installer-provisioned infrastructure. The Standard Network Service Tier is not supported for clusters installed using the installation program. The installation program configures internal load balancing for the api-int.<cluster_name>.<base_domain> URL; the Premium Tier is required for internal load balancing. 8.11.4.2. Enabling API services in GCP Your Google Cloud Platform (GCP) project requires access to several API services to complete OpenShift Container Platform installation. Prerequisites You created a project to host your cluster. Procedure Enable the following required API services in the project that hosts your cluster. You may also enable optional API services which are not required for installation. See Enabling services in the GCP documentation. Table 8.46. Required API services API service Console service name Compute Engine API compute.googleapis.com Cloud Resource Manager API cloudresourcemanager.googleapis.com Google DNS API dns.googleapis.com IAM Service Account Credentials API iamcredentials.googleapis.com Identity and Access Management (IAM) API iam.googleapis.com Service Usage API serviceusage.googleapis.com Table 8.47. Optional API services API service Console service name Cloud Deployment Manager V2 API deploymentmanager.googleapis.com Google Cloud APIs cloudapis.googleapis.com Service Management API servicemanagement.googleapis.com Google Cloud Storage JSON API storage-api.googleapis.com Cloud Storage storage-component.googleapis.com 8.11.4.3. GCP account limits The OpenShift Container Platform cluster uses a number of Google Cloud Platform (GCP) components, but the default Quotas do not affect your ability to install a default OpenShift Container Platform cluster. A default cluster, which contains three compute and three control plane machines, uses the following resources. Note that some resources are required only during the bootstrap process and are removed after the cluster deploys. Table 8.48. GCP resources used in a default cluster Service Component Location Total resources required Resources removed after bootstrap Service account IAM Global 5 0 Firewall rules Networking Global 11 1 Forwarding rules Compute Global 2 0 Health checks Compute Global 2 0 Images Compute Global 1 0 Networks Networking Global 1 0 Routers Networking Global 1 0 Routes Networking Global 2 0 Subnetworks Compute Global 2 0 Target pools Networking Global 2 0 Note If any of the quotas are insufficient during installation, the installation program displays an error that states both which quota was exceeded and the region. Be sure to consider your actual cluster size, planned cluster growth, and any usage from other clusters that are associated with your account. The CPU, static IP addresses, and persistent disk SSD (storage) quotas are the ones that are most likely to be insufficient. If you plan to deploy your cluster in one of the following regions, you will exceed the maximum storage quota and are likely to exceed the CPU quota limit: asia-east2 asia-northeast2 asia-south1 australia-southeast1 europe-north1 europe-west2 europe-west3 europe-west6 northamerica-northeast1 southamerica-east1 us-west2 You can increase resource quotas from the GCP console , but you might need to file a support ticket. Be sure to plan your cluster size early so that you can allow time to resolve the support ticket before you install your OpenShift Container Platform cluster. 8.11.4.4. Creating a service account in GCP OpenShift Container Platform requires a Google Cloud Platform (GCP) service account that provides authentication and authorization to access data in the Google APIs. If you do not have an existing IAM service account that contains the required roles in your project, you must create one. Prerequisites You created a project to host your cluster. Procedure Create a service account in the project that you use to host your OpenShift Container Platform cluster. See Creating a service account in the GCP documentation. Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the Owner role to it. See Granting roles to a service account for specific resources . Note While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable. Create the service account key in JSON format. See Creating service account keys in the GCP documentation. The service account key is required to create a cluster. 8.11.4.4.1. Required GCP roles When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. If your organization's security policies require a more restrictive set of permissions, you can create a service account with the following permissions. If you deploy your cluster into an existing virtual private cloud (VPC), the service account does not require certain networking permissions, which are noted in the following lists: Required roles for the installation program Compute Admin Security Admin Service Account Admin Service Account Key Admin Service Account User Storage Admin Required roles for creating network resources during installation DNS Administrator Required roles for user-provisioned GCP infrastructure Deployment Manager Editor The roles are applied to the service accounts that the control plane and compute machines use: Table 8.49. GCP service account permissions Account Roles Control Plane roles/compute.instanceAdmin roles/compute.networkAdmin roles/compute.securityAdmin roles/storage.admin roles/iam.serviceAccountUser Compute roles/compute.viewer roles/storage.admin 8.11.4.5. Supported GCP regions You can deploy an OpenShift Container Platform cluster to the following Google Cloud Platform (GCP) regions: asia-east1 (Changhua County, Taiwan) asia-east2 (Hong Kong) asia-northeast1 (Tokyo, Japan) asia-northeast2 (Osaka, Japan) asia-northeast3 (Seoul, South Korea) asia-south1 (Mumbai, India) asia-south2 (Delhi, India) asia-southeast1 (Jurong West, Singapore) asia-southeast2 (Jakarta, Indonesia) australia-southeast1 (Sydney, Australia) australia-southeast2 (Melbourne, Australia) europe-central2 (Warsaw, Poland) europe-north1 (Hamina, Finland) europe-southwest1 (Madrid, Spain) europe-west1 (St. Ghislain, Belgium) europe-west2 (London, England, UK) europe-west3 (Frankfurt, Germany) europe-west4 (Eemshaven, Netherlands) europe-west6 (Zurich, Switzerland) europe-west8 (Milan, Italy) europe-west9 (Paris, France) europe-west12 (Turin, Italy) northamerica-northeast1 (Montreal, Quebec, Canada) northamerica-northeast2 (Toronto, Ontario, Canada) southamerica-east1 (Sao Paulo, Brazil) southamerica-west1 (Santiago, Chile) us-central1 (Council Bluffs, Iowa, USA) us-east1 (Moncks Corner, South Carolina, USA) us-east4 (Ashburn, Northern Virginia, USA) us-east5 (Columbus, Ohio) us-south1 (Dallas, Texas) us-west1 (The Dalles, Oregon, USA) us-west2 (Los Angeles, California, USA) us-west3 (Salt Lake City, Utah, USA) us-west4 (Las Vegas, Nevada, USA) Note To determine which machine type instances are available by region and zone, see the Google documentation . 8.11.4.6. Installing and configuring CLI tools for GCP To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must install and configure the CLI tools for GCP. Prerequisites You created a project to host your cluster. You created a service account and granted it the required permissions. Procedure Install the following binaries in USDPATH : gcloud gsutil See Install the latest Cloud SDK version in the GCP documentation. Authenticate using the gcloud tool with your configured service account. See Authorizing with a service account in the GCP documentation. 8.11.5. Requirements for a cluster with user-provisioned infrastructure For a cluster that contains user-provisioned infrastructure, you must deploy all of the required machines. This section describes the requirements for deploying OpenShift Container Platform on user-provisioned infrastructure. 8.11.5.1. Required machines for cluster installation The smallest OpenShift Container Platform clusters require the following hosts: Table 8.50. Minimum required hosts Hosts Description One temporary bootstrap machine The cluster requires the bootstrap machine to deploy the OpenShift Container Platform cluster on the three control plane machines. You can remove the bootstrap machine after you install the cluster. Three control plane machines The control plane machines run the Kubernetes and OpenShift Container Platform services that form the control plane. At least two compute machines, which are also known as worker machines. The workloads requested by OpenShift Container Platform users run on the compute machines. Important To maintain high availability of your cluster, use separate physical hosts for these cluster machines. The bootstrap and control plane machines must use Red Hat Enterprise Linux CoreOS (RHCOS) as the operating system. However, the compute machines can choose between Red Hat Enterprise Linux CoreOS (RHCOS), Red Hat Enterprise Linux (RHEL) 8.6 and later. Note that RHCOS is based on Red Hat Enterprise Linux (RHEL) 8 and inherits all of its hardware certifications and requirements. See Red Hat Enterprise Linux technology capabilities and limits . 8.11.5.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.51. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. Additional resources Optimizing storage 8.11.5.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.58. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.11.5.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . 8.11.6. Configuring the GCP project that hosts your shared VPC network If you use a shared Virtual Private Cloud (VPC) to host your OpenShift Container Platform cluster in Google Cloud Platform (GCP), you must configure the project that hosts it. Note If you already have a project that hosts the shared VPC network, review this section to ensure that the project meets all of the requirements to install an OpenShift Container Platform cluster. Procedure Create a project to host the shared VPC for your OpenShift Container Platform cluster. See Creating and Managing Projects in the GCP documentation. Create a service account in the project that hosts your shared VPC. See Creating a service account in the GCP documentation. Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the Owner role to it. See Granting roles to a service account for specific resources . Note While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable. The service account for the project that hosts the shared VPC network requires the following roles: Compute Network User Compute Security Admin Deployment Manager Editor DNS Administrator Security Admin Network Management Admin 8.11.6.1. Configuring DNS for GCP To install OpenShift Container Platform, the Google Cloud Platform (GCP) account you use must have a dedicated public hosted zone in the project that hosts the shared VPC that you install the cluster into. This zone must be authoritative for the domain. The DNS service provides cluster DNS resolution and name lookup for external connections to the cluster. Procedure Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through GCP or another source. Note If you purchase a new domain, it can take time for the relevant DNS changes to propagate. For more information about purchasing domains through Google, see Google Domains . Create a public hosted zone for your domain or subdomain in your GCP project. See Creating public zones in the GCP documentation. Use an appropriate root domain, such as openshiftcorp.com , or subdomain, such as clusters.openshiftcorp.com . Extract the new authoritative name servers from the hosted zone records. See Look up your Cloud DNS name servers in the GCP documentation. You typically have four name servers. Update the registrar records for the name servers that your domain uses. For example, if you registered your domain to Google Domains, see the following topic in the Google Domains Help: How to switch to custom name servers . If you migrated your root domain to Google Cloud DNS, migrate your DNS records. See Migrating to Cloud DNS in the GCP documentation. If you use a subdomain, follow your company's procedures to add its delegation records to the parent domain. This process might include a request to your company's IT department or the division that controls the root domain and DNS services for your company. 8.11.6.2. Creating a VPC in GCP You must create a VPC in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. You can customize the VPC to meet your requirements. One way to create the VPC is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Procedure Copy the template from the Deployment Manager template for the VPC section of this topic and save it as 01_vpc.py on your computer. This template describes the VPC that your cluster requires. Export the following variables required by the resource definition: Export the control plane CIDR: USD export MASTER_SUBNET_CIDR='10.0.0.0/17' Export the compute CIDR: USD export WORKER_SUBNET_CIDR='10.0.128.0/17' Export the region to deploy the VPC network and cluster to: USD export REGION='<region>' Export the variable for the ID of the project that hosts the shared VPC: USD export HOST_PROJECT=<host_project> Export the variable for the email of the service account that belongs to host project: USD export HOST_PROJECT_ACCOUNT=<host_service_account_email> Create a 01_vpc.yaml resource definition file: USD cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: '<prefix>' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{WORKER_SUBNET_CIDR}' 4 EOF 1 infra_id is the prefix of the network name. 2 region is the region to deploy the cluster into, for example us-central1 . 3 master_subnet_cidr is the CIDR for the master subnet, for example 10.0.0.0/17 . 4 worker_subnet_cidr is the CIDR for the worker subnet, for example 10.0.128.0/17 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create <vpc_deployment_name> --config 01_vpc.yaml --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} 1 1 For <vpc_deployment_name> , specify the name of the VPC to deploy. Export the VPC variable that other components require: Export the name of the host project network: USD export HOST_PROJECT_NETWORK=<vpc_network> Export the name of the host project control plane subnet: USD export HOST_PROJECT_CONTROL_SUBNET=<control_plane_subnet> Export the name of the host project compute subnet: USD export HOST_PROJECT_COMPUTE_SUBNET=<compute_subnet> Set up the shared VPC. See Setting up Shared VPC in the GCP documentation. 8.11.6.2.1. Deployment Manager template for the VPC You can use the following Deployment Manager template to deploy the VPC that you need for your OpenShift Container Platform cluster: Example 8.59. 01_vpc.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-network', 'type': 'compute.v1.network', 'properties': { 'region': context.properties['region'], 'autoCreateSubnetworks': False } }, { 'name': context.properties['infra_id'] + '-master-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['master_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-worker-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources} 8.11.7. Creating the installation files for GCP To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must generate the files that the installation program needs to deploy your cluster and modify them so that the cluster creates only the machines that it will use. You generate and customize the install-config.yaml file, Kubernetes manifests, and Ignition config files. You also have the option to first set up a separate var partition during the preparation phases of installation. 8.11.7.1. Manually creating the installation configuration file Prerequisites You have an SSH public key on your local machine to provide to the installation program. The key will be used for SSH authentication onto your cluster nodes for debugging and disaster recovery. You have obtained the OpenShift Container Platform installation program and the pull secret for your cluster. Procedure Create an installation directory to store your required installation assets in: USD mkdir <installation_directory> Important You must create a directory. Some installation assets, like bootstrap X.509 certificates have short expiration intervals, so you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. Customize the sample install-config.yaml file template that is provided and save it in the <installation_directory> . Note You must name this configuration file install-config.yaml . Note For some platform types, you can alternatively run ./openshift-install create install-config --dir <installation_directory> to generate an install-config.yaml file. You can provide details about your cluster configuration at the prompts. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the step of the installation process. You must back it up now. 8.11.7.2. Sample customized install-config.yaml file for GCP You can customize the install-config.yaml file to specify more details about your OpenShift Container Platform cluster's platform or modify the values of the required parameters. Important This sample YAML file is provided for reference only. You must obtain your install-config.yaml file by using the installation program and modify it. apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 hyperthreading: Enabled 3 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c replicas: 3 compute: 5 - hyperthreading: Enabled 6 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c replicas: 0 metadata: name: test-cluster networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 7 region: us-central1 8 pullSecret: '{"auths": ...}' fips: false 9 sshKey: ssh-ed25519 AAAA... 10 publish: Internal 11 1 Specify the public DNS on the host project. 2 5 If you do not provide these parameters and values, the installation program provides the default value. 3 6 The controlPlane section is a single mapping, but the compute section is a sequence of mappings. To meet the requirements of the different data structures, the first line of the compute section must begin with a hyphen, - , and the first line of the controlPlane section must not. Although both sections currently define a single machine pool, it is possible that future versions of OpenShift Container Platform will support defining multiple compute pools during installation. Only one control plane pool is used. 4 Whether to enable or disable simultaneous multithreading, or hyperthreading . By default, simultaneous multithreading is enabled to increase the performance of your machines' cores. You can disable it by setting the parameter value to Disabled . If you disable simultaneous multithreading in some cluster machines, you must disable it in all cluster machines. Important If you disable simultaneous multithreading, ensure that your capacity planning accounts for the dramatically decreased machine performance. Use larger machine types, such as n1-standard-8 , for your machines if you disable simultaneous multithreading. 7 Specify the main project where the VM instances reside. 8 Specify the region that your VPC network is in. 9 Whether to enable or disable FIPS mode. By default, FIPS mode is not enabled. If FIPS mode is enabled, the Red Hat Enterprise Linux CoreOS (RHCOS) machines that OpenShift Container Platform runs on bypass the default Kubernetes cryptography suite and use the cryptography modules that are provided with RHCOS instead. Important The use of FIPS validated or Modules In Process cryptographic libraries is only supported on OpenShift Container Platform deployments on the x86_64 architecture. 10 You can optionally provide the sshKey value that you use to access the machines in your cluster. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. 11 How to publish the user-facing endpoints of your cluster. Set publish to Internal to deploy a private cluster, which cannot be accessed from the internet. The default value is External . To use a shared VPC in a cluster that uses infrastructure that you provision, you must set publish to Internal . The installation program will no longer be able to access the public DNS zone for the base domain in the host project. 8.11.7.3. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.11.7.4. Creating the Kubernetes manifest and Ignition config files Because you must modify some cluster definition files and manually start the cluster machines, you must generate the Kubernetes manifest and Ignition config files that the cluster needs to configure the machines. The installation configuration file transforms into the Kubernetes manifests. The manifests wrap into the Ignition configuration files, which are later used to configure the cluster machines. Important The Ignition config files that the OpenShift Container Platform installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Prerequisites You obtained the OpenShift Container Platform installation program. You created the install-config.yaml installation configuration file. Procedure Change to the directory that contains the OpenShift Container Platform installation program and generate the Kubernetes manifests for the cluster: USD ./openshift-install create manifests --dir <installation_directory> 1 1 For <installation_directory> , specify the installation directory that contains the install-config.yaml file you created. Remove the Kubernetes manifest files that define the control plane machines: USD rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml By removing these files, you prevent the cluster from automatically generating control plane machines. Remove the Kubernetes manifest files that define the worker machines: USD rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml Because you create and manage the worker machines yourself, you do not need to initialize these machines. Check that the mastersSchedulable parameter in the <installation_directory>/manifests/cluster-scheduler-02-config.yml Kubernetes manifest file is set to false . This setting prevents pods from being scheduled on the control plane machines: Open the <installation_directory>/manifests/cluster-scheduler-02-config.yml file. Locate the mastersSchedulable parameter and ensure that it is set to false . Save and exit the file. Remove the privateZone sections from the <installation_directory>/manifests/cluster-dns-02-config.yml DNS configuration file: apiVersion: config.openshift.io/v1 kind: DNS metadata: creationTimestamp: null name: cluster spec: baseDomain: example.openshift.com privateZone: 1 id: mycluster-100419-private-zone status: {} 1 Remove this section completely. Configure the cloud provider for your VPC. Open the <installation_directory>/manifests/cloud-provider-config.yaml file. Add the network-project-id parameter and set its value to the ID of project that hosts the shared VPC network. Add the network-name parameter and set its value to the name of the shared VPC network that hosts the OpenShift Container Platform cluster. Replace the value of the subnetwork-name parameter with the value of the shared VPC subnet that hosts your compute machines. The contents of the <installation_directory>/manifests/cloud-provider-config.yaml resemble the following example: config: |+ [global] project-id = example-project regional = true multizone = true node-tags = opensh-ptzzx-master node-tags = opensh-ptzzx-worker node-instance-prefix = opensh-ptzzx external-instance-groups-prefix = opensh-ptzzx network-project-id = example-shared-vpc network-name = example-network subnetwork-name = example-worker-subnet If you deploy a cluster that is not on a private network, open the <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml file and replace the value of the scope parameter with External . The contents of the file resemble the following example: apiVersion: operator.openshift.io/v1 kind: IngressController metadata: creationTimestamp: null name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: scope: External type: LoadBalancerService status: availableReplicas: 0 domain: '' selector: '' To create the Ignition configuration files, run the following command from the directory that contains the installation program: USD ./openshift-install create ignition-configs --dir <installation_directory> 1 1 For <installation_directory> , specify the same installation directory. Ignition config files are created for the bootstrap, control plane, and compute nodes in the installation directory. The kubeadmin-password and kubeconfig files are created in the ./<installation_directory>/auth directory: 8.11.8. Exporting common variables 8.11.8.1. Extracting the infrastructure name The Ignition config files contain a unique cluster identifier that you can use to uniquely identify your cluster in Google Cloud Platform (GCP). The infrastructure name is also used to locate the appropriate GCP resources during an OpenShift Container Platform installation. The provided Deployment Manager templates contain references to this infrastructure name, so you must extract it. Prerequisites You obtained the OpenShift Container Platform installation program and the pull secret for your cluster. You generated the Ignition config files for your cluster. You installed the jq package. Procedure To extract and view the infrastructure name from the Ignition config file metadata, run the following command: USD jq -r .infraID <installation_directory>/metadata.json 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Example output openshift-vw9j6 1 1 The output of this command is your cluster name and a random string. 8.11.8.2. Exporting common variables for Deployment Manager templates You must export a common set of variables that are used with the provided Deployment Manager templates used to assist in completing a user-provided infrastructure install on Google Cloud Platform (GCP). Note Specific Deployment Manager templates can also require additional exported variables, which are detailed in their related procedures. Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Generate the Ignition config files for your cluster. Install the jq package. Procedure Export the following common variables to be used by the provided Deployment Manager templates: USD export BASE_DOMAIN='<base_domain>' 1 USD export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' 2 USD export NETWORK_CIDR='10.0.0.0/16' USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 3 USD export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json` USD export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json` USD export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json` 1 2 Supply the values for the host project. 3 For <installation_directory> , specify the path to the directory that you stored the installation files in. 8.11.9. Networking requirements for user-provisioned infrastructure All the Red Hat Enterprise Linux CoreOS (RHCOS) machines require networking to be configured in initramfs during boot to fetch their Ignition config files. 8.11.9.1. Setting the cluster node hostnames through DHCP On Red Hat Enterprise Linux CoreOS (RHCOS) machines, the hostname is set through NetworkManager. By default, the machines obtain their hostname through DHCP. If the hostname is not provided by DHCP, set statically through kernel arguments, or another method, it is obtained through a reverse DNS lookup. Reverse DNS lookup occurs after the network has been initialized on a node and can take time to resolve. Other system services can start prior to this and detect the hostname as localhost or similar. You can avoid this by using DHCP to provide the hostname for each cluster node. Additionally, setting the hostnames through DHCP can bypass any manual DNS record name configuration errors in environments that have a DNS split-horizon implementation. 8.11.9.2. Network connectivity requirements You must configure the network connectivity between machines to allow OpenShift Container Platform cluster components to communicate. Each machine must be able to resolve the hostnames of all other machines in the cluster. This section provides details about the ports that are required. Important In connected OpenShift Container Platform environments, all nodes are required to have internet access to pull images for platform containers and provide telemetry data to Red Hat. Table 8.52. Ports used for all-machine to all-machine communications Protocol Port Description ICMP N/A Network reachability tests TCP 1936 Metrics 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 and the Cluster Version Operator on port 9099 . 10250 - 10259 The default ports that Kubernetes reserves 10256 openshift-sdn UDP 4789 VXLAN 6081 Geneve 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 . 500 IPsec IKE packets 4500 IPsec NAT-T packets TCP/UDP 30000 - 32767 Kubernetes node port ESP N/A IPsec Encapsulating Security Payload (ESP) Table 8.53. Ports used for all-machine to control plane communications Protocol Port Description TCP 6443 Kubernetes API Table 8.54. Ports used for control plane machine to control plane machine communications Protocol Port Description TCP 2379 - 2380 etcd server and peer ports 8.11.10. Creating load balancers in GCP You must configure load balancers in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for the internal load balancer section of this topic and save it as 02_lb_int.py on your computer. This template describes the internal load balancing objects that your cluster requires. For an external cluster, also copy the template from the Deployment Manager template for the external load balancer section of this topic and save it as 02_lb_ext.py on your computer. This template describes the external load balancing objects that your cluster requires. Export the variables that the deployment template uses: Export the cluster network location: USD export CLUSTER_NETWORK=(`gcloud compute networks describe USD{HOST_PROJECT_NETWORK} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} --format json | jq -r .selfLink`) Export the control plane subnet location: USD export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{HOST_PROJECT_CONTROL_SUBNET} --region=USD{REGION} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} --format json | jq -r .selfLink`) Export the three zones that the cluster uses: USD export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d "/" -f9`) USD export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d "/" -f9`) USD export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`) Create a 02_infra.yaml resource definition file: USD cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF 1 2 Required only when deploying an external cluster. 3 infra_id is the INFRA_ID infrastructure name from the extraction step. 4 region is the region to deploy the cluster into, for example us-central1 . 5 control_subnet is the URI to the control subnet. 6 zones are the zones to deploy the control plane instances into, like us-east1-b , us-east1-c , and us-east1-d . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml Export the cluster IP address: USD export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`) For an external cluster, also export the cluster public IP address: USD export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`) 8.11.10.1. Deployment Manager template for the external load balancer You can use the following Deployment Manager template to deploy the external load balancer that you need for your OpenShift Container Platform cluster: Example 8.60. 02_lb_ext.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-cluster-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-http-health-check', 'type': 'compute.v1.httpHealthCheck', 'properties': { 'port': 6080, 'requestPath': '/readyz' } }, { 'name': context.properties['infra_id'] + '-api-target-pool', 'type': 'compute.v1.targetPool', 'properties': { 'region': context.properties['region'], 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'], 'instances': [] } }, { 'name': context.properties['infra_id'] + '-api-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'region': context.properties['region'], 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources} 8.11.10.2. Deployment Manager template for the internal load balancer You can use the following Deployment Manager template to deploy the internal load balancer that you need for your OpenShift Container Platform cluster: Example 8.61. 02_lb_int.py Deployment Manager template def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': "HTTPS" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources} You will need this template in addition to the 02_lb_ext.py template when you create an external cluster. 8.11.11. Creating a private DNS zone in GCP You must configure a private DNS zone in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create this component is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for the private DNS section of this topic and save it as 02_dns.py on your computer. This template describes the private DNS objects that your cluster requires. Create a 02_dns.yaml resource definition file: USD cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 cluster_domain is the domain for the cluster, for example openshift.example.com . 3 cluster_network is the selfLink URL to the cluster network. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} The templates do not create DNS entries due to limitations of Deployment Manager, so you must create them manually: Add the internal DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} For an external cluster, also add the external DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} 8.11.11.1. Deployment Manager template for the private DNS You can use the following Deployment Manager template to deploy the private DNS that you need for your OpenShift Container Platform cluster: Example 8.62. 02_dns.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-private-zone', 'type': 'dns.v1.managedZone', 'properties': { 'description': '', 'dnsName': context.properties['cluster_domain'] + '.', 'visibility': 'private', 'privateVisibilityConfig': { 'networks': [{ 'networkUrl': context.properties['cluster_network'] }] } } }] return {'resources': resources} 8.11.12. Creating firewall rules in GCP You must create firewall rules in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for firewall rules section of this topic and save it as 03_firewall.py on your computer. This template describes the security groups that your cluster requires. Create a 03_firewall.yaml resource definition file: USD cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF 1 allowed_external_cidr is the CIDR range that can access the cluster API and SSH to the bootstrap host. For an internal cluster, set this value to USD{NETWORK_CIDR} . 2 infra_id is the INFRA_ID infrastructure name from the extraction step. 3 cluster_network is the selfLink URL to the cluster network. 4 network_cidr is the CIDR of the VPC network, for example 10.0.0.0/16 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} 8.11.12.1. Deployment Manager template for firewall rules You can use the following Deployment Manager template to deploy the firewall rues that you need for your OpenShift Container Platform cluster: Example 8.63. 03_firewall.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-health-checks', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6080', '6443', '22624'] }], 'sourceRanges': ['35.191.0.0/16', '130.211.0.0/22', '209.85.152.0/22', '209.85.204.0/22'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-etcd', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['2379-2380'] }], 'sourceTags': [context.properties['infra_id'] + '-master'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-control-plane', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['10257'] },{ 'IPProtocol': 'tcp', 'ports': ['10259'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-internal-network', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'icmp' },{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['network_cidr']], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }, { 'name': context.properties['infra_id'] + '-internal-cluster', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'udp', 'ports': ['4789', '6081'] },{ 'IPProtocol': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ 'IPProtocol': 'tcp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'udp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'tcp', 'ports': ['10250'] },{ 'IPProtocol': 'tcp', 'ports': ['30000-32767'] },{ 'IPProtocol': 'udp', 'ports': ['30000-32767'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }] return {'resources': resources} 8.11.13. Creating IAM roles in GCP You must create IAM roles in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for IAM roles section of this topic and save it as 03_iam.py on your computer. This template describes the IAM roles that your cluster requires. Create a 03_iam.yaml resource definition file: USD cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml Export the variable for the master service account: USD export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the variable for the worker service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Assign the permissions that the installation program requires to the service accounts for the subnets that host the control plane and compute subnets: Grant the networkViewer role of the project that hosts your shared VPC to the master service account: USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} projects add-iam-policy-binding USD{HOST_PROJECT} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkViewer" Grant the networkUser role to the master service account for the control plane subnet: USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding "USD{HOST_PROJECT_CONTROL_SUBNET}" --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkUser" --region USD{REGION} Grant the networkUser role to the worker service account for the control plane subnet: USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding "USD{HOST_PROJECT_CONTROL_SUBNET}" --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/compute.networkUser" --region USD{REGION} Grant the networkUser role to the master service account for the compute subnet: USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding "USD{HOST_PROJECT_COMPUTE_SUBNET}" --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkUser" --region USD{REGION} Grant the networkUser role to the worker service account for the compute subnet: USD gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding "USD{HOST_PROJECT_COMPUTE_SUBNET}" --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/compute.networkUser" --region USD{REGION} The templates do not create the policy bindings due to limitations of Deployment Manager, so you must create them manually: USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.instanceAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.securityAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/iam.serviceAccountUser" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/storage.admin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/compute.viewer" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/storage.admin" Create a service account key and store it locally for later use: USD gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT} 8.11.13.1. Deployment Manager template for IAM roles You can use the following Deployment Manager template to deploy the IAM roles that you need for your OpenShift Container Platform cluster: Example 8.64. 03_iam.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-m', 'displayName': context.properties['infra_id'] + '-master-node' } }, { 'name': context.properties['infra_id'] + '-worker-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-w', 'displayName': context.properties['infra_id'] + '-worker-node' } }] return {'resources': resources} 8.11.14. Creating the RHCOS cluster image for the GCP infrastructure You must use a valid Red Hat Enterprise Linux CoreOS (RHCOS) image for Google Cloud Platform (GCP) for your OpenShift Container Platform nodes. Procedure Obtain the RHCOS image from the RHCOS image mirror page. Important The RHCOS images might not change with every release of OpenShift Container Platform. You must download an image with the highest version that is less than or equal to the OpenShift Container Platform version that you install. Use the image version that matches your OpenShift Container Platform version if it is available. The file name contains the OpenShift Container Platform version number in the format rhcos-<version>-<arch>-gcp.<arch>.tar.gz . Create the Google storage bucket: USD gsutil mb gs://<bucket_name> Upload the RHCOS image to the Google storage bucket: USD gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name> Export the uploaded RHCOS image location as a variable: USD export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz Create the cluster image: USD gcloud compute images create "USD{INFRA_ID}-rhcos-image" \ --source-uri="USD{IMAGE_SOURCE}" 8.11.15. Creating the bootstrap machine in GCP You must create the bootstrap machine in Google Cloud Platform (GCP) to use during OpenShift Container Platform cluster initialization. One way to create this machine is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your bootstrap machine, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Ensure pyOpenSSL is installed. Procedure Copy the template from the Deployment Manager template for the bootstrap machine section of this topic and save it as 04_bootstrap.py on your computer. This template describes the bootstrap machine that your cluster requires. Export the location of the Red Hat Enterprise Linux CoreOS (RHCOS) image that the installation program requires: USD export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`) Create a bucket and upload the bootstrap.ign file: USD gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition USD gsutil cp <installation_directory>/bootstrap.ign gs://USD{INFRA_ID}-bootstrap-ignition/ Create a signed URL for the bootstrap instance to use to access the Ignition config. Export the URL from the output as a variable: USD export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep "^gs:" | awk '{print USD5}'` Create a 04_bootstrap.yaml resource definition file: USD cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{BOOTSTRAP_IGN}' 9 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 region is the region to deploy the cluster into, for example us-central1 . 3 zone is the zone to deploy the bootstrap instance into, for example us-central1-b . 4 cluster_network is the selfLink URL to the cluster network. 5 control_subnet is the selfLink URL to the control subnet. 6 image is the selfLink URL to the RHCOS image. 7 machine_type is the machine type of the instance, for example n1-standard-4 . 8 root_volume_size is the boot disk size for the bootstrap machine. 9 bootstrap_ign is the URL output when creating a signed URL. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-bootstrap --config 04_bootstrap.yaml Add the bootstrap instance to the internal load balancer instance group: USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap Add the bootstrap instance group to the internal load balancer backend service: USD gcloud compute backend-services add-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} 8.11.15.1. Deployment Manager template for the bootstrap machine You can use the following Deployment Manager template to deploy the bootstrap machine that you need for your OpenShift Container Platform cluster: Example 8.65. 04_bootstrap.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { 'name': context.properties['infra_id'] + '-bootstrap', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': '{"ignition":{"config":{"replace":{"source":"' + context.properties['bootstrap_ign'] + '"}},"version":"3.2.0"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(ref.' + context.properties['infra_id'] + '-bootstrap-public-ip.address)' }] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-bootstrap' ] }, 'zone': context.properties['zone'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources} 8.11.16. Creating the control plane machines in GCP You must create the control plane machines in Google Cloud Platform (GCP) for your cluster to use. One way to create these machines is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your control plane machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Procedure Copy the template from the Deployment Manager template for control plane machines section of this topic and save it as 05_control_plane.py on your computer. This template describes the control plane machines that your cluster requires. Export the following variable required by the resource definition: USD export MASTER_IGNITION=`cat <installation_directory>/master.ign` Create a 05_control_plane.yaml resource definition file: USD cat <<EOF >05_control_plane.yaml imports: - path: 05_control_plane.py resources: - name: cluster-control-plane type: 05_control_plane.py properties: infra_id: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{MASTER_IGNITION}' 7 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 zones are the zones to deploy the control plane instances into, for example us-central1-a , us-central1-b , and us-central1-c . 3 control_subnet is the selfLink URL to the control subnet. 4 image is the selfLink URL to the RHCOS image. 5 machine_type is the machine type of the instance, for example n1-standard-4 . 6 service_account_email is the email address for the master service account that you created. 7 ignition is the contents of the master.ign file. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml The templates do not manage load balancer membership due to limitations of Deployment Manager, so you must add the control plane machines manually. Run the following commands to add the control plane machines to the appropriate instance groups: USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2 For an external cluster, you must also run the following commands to add the control plane machines to the target pools: USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_0}" --instances=USD{INFRA_ID}-master-0 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_1}" --instances=USD{INFRA_ID}-master-1 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_2}" --instances=USD{INFRA_ID}-master-2 8.11.16.1. Deployment Manager template for control plane machines You can use the following Deployment Manager template to deploy the control plane machines that you need for your OpenShift Container Platform cluster: Example 8.66. 05_control_plane.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-0', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][0] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][0] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][0] } }, { 'name': context.properties['infra_id'] + '-master-1', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][1] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][1] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][1] } }, { 'name': context.properties['infra_id'] + '-master-2', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][2] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][2] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][2] } }] return {'resources': resources} 8.11.17. Wait for bootstrap completion and remove bootstrap resources in GCP After you create all of the required infrastructure in Google Cloud Platform (GCP), wait for the bootstrap process to complete on the machines that you provisioned by using the Ignition config files that you generated with the installation program. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Procedure Change to the directory that contains the installation program and run the following command: USD ./openshift-install wait-for bootstrap-complete --dir <installation_directory> \ 1 --log-level info 2 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. 2 To view different installation details, specify warn , debug , or error instead of info . If the command exits without a FATAL warning, your production control plane has initialized. Delete the bootstrap resources: USD gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} USD gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign USD gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition USD gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap 8.11.18. Creating additional worker machines in GCP You can create worker machines in Google Cloud Platform (GCP) for your cluster to use by launching individual instances discretely or by automated processes outside the cluster, such as auto scaling groups. You can also take advantage of the built-in cluster scaling mechanisms and the machine API in OpenShift Container Platform. In this example, you manually launch one instance by using the Deployment Manager template. Additional instances can be launched by including additional resources of type 06_worker.py in the file. Note If you do not use the provided Deployment Manager template to create your worker machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Procedure Copy the template from the Deployment Manager template for worker machines section of this topic and save it as 06_worker.py on your computer. This template describes the worker machines that your cluster requires. Export the variables that the resource definition uses. Export the subnet that hosts the compute machines: USD export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{HOST_PROJECT_COMPUTE_SUBNET} --region=USD{REGION} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} --format json | jq -r .selfLink`) Export the email address for your service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the location of the compute machine Ignition config file: USD export WORKER_IGNITION=`cat <installation_directory>/worker.ign` Create a 06_worker.yaml resource definition file: USD cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF 1 name is the name of the worker machine, for example worker-0 . 2 9 infra_id is the INFRA_ID infrastructure name from the extraction step. 3 10 zone is the zone to deploy the worker machine into, for example us-central1-a . 4 11 compute_subnet is the selfLink URL to the compute subnet. 5 12 image is the selfLink URL to the RHCOS image. 1 6 13 machine_type is the machine type of the instance, for example n1-standard-4 . 7 14 service_account_email is the email address for the worker service account that you created. 8 15 ignition is the contents of the worker.ign file. Optional: If you want to launch additional instances, include additional resources of type 06_worker.py in your 06_worker.yaml resource definition file. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml To use a GCP Marketplace image, specify the offer to use: OpenShift Container Platform: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-ocp-48-x86-64-202210040145 OpenShift Platform Plus: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-opp-48-x86-64-202206140145 OpenShift Kubernetes Engine: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-oke-48-x86-64-202206140145 8.11.18.1. Deployment Manager template for worker machines You can use the following Deployment Manager template to deploy the worker machines that you need for your OpenShift Container Platform cluster: Example 8.67. 06_worker.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-' + context.env['name'], 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['compute_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-worker', ] }, 'zone': context.properties['zone'] } }] return {'resources': resources} 8.11.19. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.11. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture in the Product Variant drop-down menu. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Linux Client entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version in the Version drop-down menu. Click Download Now to the OpenShift v4.11 macOS Client entry and save the file. Note For macOS arm64, choose the OpenShift v4.11 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> 8.11.20. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin 8.11.21. Approving the certificate signing requests for your machines When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests. Prerequisites You added machines to your cluster. Procedure Confirm that the cluster recognizes the machines: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.24.0 master-1 Ready master 63m v1.24.0 master-2 Ready master 64m v1.24.0 The output lists all of the machines that you created. Note The preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved. Review the pending CSRs and ensure that you see the client requests with the Pending or Approved status for each machine that you added to the cluster: USD oc get csr Example output NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ... In this example, two machines are joining the cluster. You might see more approved CSRs in the list. If the CSRs were not approved, after all of the pending CSRs for the machines you added are in Pending status, approve the CSRs for your cluster machines: Note Because the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the machine-approver if the Kubelet requests a new certificate with identical parameters. Note For clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the oc exec , oc rsh , and oc logs commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by the node-bootstrapper service account in the system:node or system:admin groups, and confirm the identity of the node. To approve them individually, run the following command for each valid CSR: USD oc adm certificate approve <csr_name> 1 1 <csr_name> is the name of a CSR from the list of current CSRs. To approve all pending CSRs, run the following command: USD oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve Note Some Operators might not become available until some CSRs are approved. Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster: USD oc get csr Example output NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ... If the remaining CSRs are not approved, and are in the Pending status, approve the CSRs for your cluster machines: To approve them individually, run the following command for each valid CSR: USD oc adm certificate approve <csr_name> 1 1 <csr_name> is the name of a CSR from the list of current CSRs. To approve all pending CSRs, run the following command: USD oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve After all client and server CSRs have been approved, the machines have the Ready status. Verify this by running the following command: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.24.0 master-1 Ready master 73m v1.24.0 master-2 Ready master 74m v1.24.0 worker-0 Ready worker 11m v1.24.0 worker-1 Ready worker 11m v1.24.0 Note It can take a few minutes after approval of the server CSRs for the machines to transition to the Ready status. Additional information For more information on CSRs, see Certificate Signing Requests . 8.11.22. Adding the ingress DNS records DNS zone configuration is removed when creating Kubernetes manifests and generating Ignition configs. You must manually create DNS records that point at the ingress load balancer. You can create either a wildcard *.apps.{baseDomain}. or specific records. You can use A, CNAME, and other records per your requirements. Prerequisites Configure a GCP account. Remove the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Create the worker machines. Procedure Wait for the Ingress router to create a load balancer and populate the EXTERNAL-IP field: USD oc -n openshift-ingress get service router-default Example output NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE router-default LoadBalancer 172.30.18.154 35.233.157.184 80:32288/TCP,443:31215/TCP 98 Add the A record to your zones: To use A records: Export the variable for the router IP address: USD export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'` Add the A record to the private zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} For an external cluster, also add the A record to the public zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} USD gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} To add explicit domains instead of using a wildcard, create entries for each of the cluster's current routes: USD oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{"\n"}{end}{end}' routes Example output oauth-openshift.apps.your.cluster.domain.example.com console-openshift-console.apps.your.cluster.domain.example.com downloads-openshift-console.apps.your.cluster.domain.example.com alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com 8.11.23. Adding ingress firewall rules The cluster requires several firewall rules. If you do not use a shared VPC, these rules are created by the Ingress Controller via the GCP cloud provider. When you use a shared VPC, you can either create cluster-wide firewall rules for all services now or create each rule based on events, when the cluster requests access. By creating each rule when the cluster requests access, you know exactly which firewall rules are required. By creating cluster-wide firewall rules, you can apply the same rule set across multiple clusters. If you choose to create each rule based on events, you must create firewall rules after you provision the cluster and during the life of the cluster when the console notifies you that rules are missing. Events that are similar to the following event are displayed, and you must add the firewall rules that are required: USD oc get events -n openshift-ingress --field-selector="reason=LoadBalancerManualChange" Example output Firewall change required by security admin: `gcloud compute firewall-rules create k8s-fw-a26e631036a3f46cba28f8df67266d55 --network example-network --description "{\"kubernetes.io/service-name\":\"openshift-ingress/router-default\", \"kubernetes.io/service-ip\":\"35.237.236.234\"}\" --allow tcp:443,tcp:80 --source-ranges 0.0.0.0/0 --target-tags exampl-fqzq7-master,exampl-fqzq7-worker --project example-project` If you encounter issues when creating these rule-based events, you can configure the cluster-wide firewall rules while your cluster is running. 8.11.23.1. Creating cluster-wide firewall rules for a shared VPC in GCP You can create cluster-wide firewall rules to allow the access that the OpenShift Container Platform cluster requires. Warning If you do not choose to create firewall rules based on cluster events, you must create cluster-wide firewall rules. Prerequisites You exported the variables that the Deployment Manager templates require to deploy your cluster. You created the networking and load balancing components in GCP that your cluster requires. Procedure Add a single firewall rule to allow the Google Cloud Engine health checks to access all of the services. This rule enables the ingress load balancers to determine the health status of their instances. USD gcloud compute firewall-rules create --allow='tcp:30000-32767,udp:30000-32767' --network="USD{CLUSTER_NETWORK}" --source-ranges='130.211.0.0/22,35.191.0.0/16,209.85.152.0/22,209.85.204.0/22' --target-tags="USD{INFRA_ID}-master,USD{INFRA_ID}-worker" USD{INFRA_ID}-ingress-hc --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} Add a single firewall rule to allow access to all cluster services: For an external cluster: USD gcloud compute firewall-rules create --allow='tcp:80,tcp:443' --network="USD{CLUSTER_NETWORK}" --source-ranges="0.0.0.0/0" --target-tags="USD{INFRA_ID}-master,USD{INFRA_ID}-worker" USD{INFRA_ID}-ingress --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} For a private cluster: USD gcloud compute firewall-rules create --allow='tcp:80,tcp:443' --network="USD{CLUSTER_NETWORK}" --source-ranges=USD{NETWORK_CIDR} --target-tags="USD{INFRA_ID}-master,USD{INFRA_ID}-worker" USD{INFRA_ID}-ingress --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} Because this rule only allows traffic on TCP ports 80 and 443 , ensure that you add all the ports that your services use. 8.11.24. Completing a GCP installation on user-provisioned infrastructure After you start the OpenShift Container Platform installation on Google Cloud Platform (GCP) user-provisioned infrastructure, you can monitor the cluster events until the cluster is ready. Prerequisites Deploy the bootstrap machine for an OpenShift Container Platform cluster on user-provisioned GCP infrastructure. Install the oc CLI and log in. Procedure Complete the cluster installation: USD ./openshift-install --dir <installation_directory> wait-for install-complete 1 Example output INFO Waiting up to 30m0s for the cluster to initialize... 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Observe the running state of your cluster. Run the following command to view the current cluster version and status: USD oc get clusterversion Example output NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete Run the following command to view the Operators managed on the control plane by the Cluster Version Operator (CVO): USD oc get clusteroperators Example output NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m Run the following command to view your cluster pods: USD oc get pods --all-namespaces Example output NAMESPACE NAME READY STATUS RESTARTS AGE kube-system etcd-member-ip-10-0-3-111.us-east-2.compute.internal 1/1 Running 0 35m kube-system etcd-member-ip-10-0-3-239.us-east-2.compute.internal 1/1 Running 0 37m kube-system etcd-member-ip-10-0-3-24.us-east-2.compute.internal 1/1 Running 0 35m openshift-apiserver-operator openshift-apiserver-operator-6d6674f4f4-h7t2t 1/1 Running 1 37m openshift-apiserver apiserver-fm48r 1/1 Running 0 30m openshift-apiserver apiserver-fxkvv 1/1 Running 0 29m openshift-apiserver apiserver-q85nm 1/1 Running 0 29m ... openshift-service-ca-operator openshift-service-ca-operator-66ff6dc6cd-9r257 1/1 Running 0 37m openshift-service-ca apiservice-cabundle-injector-695b6bcbc-cl5hm 1/1 Running 0 35m openshift-service-ca configmap-cabundle-injector-8498544d7-25qn6 1/1 Running 0 35m openshift-service-ca service-serving-cert-signer-6445fc9c6-wqdqn 1/1 Running 0 35m openshift-service-catalog-apiserver-operator openshift-service-catalog-apiserver-operator-549f44668b-b5q2w 1/1 Running 0 32m openshift-service-catalog-controller-manager-operator openshift-service-catalog-controller-manager-operator-b78cr2lnm 1/1 Running 0 31m When the current cluster version is AVAILABLE , the installation is complete. 8.11.25. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.11.26. steps Customize your cluster . If necessary, you can opt out of remote health reporting . 8.12. Installing a cluster on GCP in a restricted network with user-provisioned infrastructure In OpenShift Container Platform version 4.11, you can install a cluster on Google Cloud Platform (GCP) that uses infrastructure that you provide and an internal mirror of the installation release content. Important While you can install an OpenShift Container Platform cluster by using mirrored installation release content, your cluster still requires internet access to use the GCP APIs. The steps for performing a user-provided infrastructure install are outlined here. Several Deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods. Important The steps for performing a user-provisioned infrastructure installation are provided as an example only. Installing a cluster with infrastructure you provide requires knowledge of the cloud provider and the installation process of OpenShift Container Platform. Several Deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods; the templates are just an example. 8.12.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . You created a registry on your mirror host and obtained the imageContentSources data for your version of OpenShift Container Platform. Important Because the installation media is on the mirror host, you can use that computer to complete all installation steps. If you use a firewall, you configured it to allow the sites that your cluster requires access to. While you might need to grant access to more sites, you must grant access to *.googleapis.com and accounts.google.com . If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain IAM credentials . 8.12.2. About installations in restricted networks In OpenShift Container Platform 4.11, you can perform an installation that does not require an active connection to the internet to obtain software components. Restricted network installations can be completed using installer-provisioned infrastructure or user-provisioned infrastructure, depending on the cloud platform to which you are installing the cluster. If you choose to perform a restricted network installation on a cloud platform, you still require access to its cloud APIs. Some cloud functions, like Amazon Web Service's Route 53 DNS and IAM services, require internet access. Depending on your network, you might require less internet access for an installation on bare metal hardware or on VMware vSphere. To complete a restricted network installation, you must create a registry that mirrors the contents of the OpenShift image registry and contains the installation media. You can create this registry on a mirror host, which can access both the internet and your closed network, or by using other methods that meet your restrictions. Important Because of the complexity of the configuration for user-provisioned installations, consider completing a standard user-provisioned infrastructure installation before you attempt a restricted network installation using user-provisioned infrastructure. Completing this test installation might make it easier to isolate and troubleshoot any issues that might arise during your installation in a restricted network. 8.12.2.1. Additional limits Clusters in restricted networks have the following additional limitations and restrictions: The ClusterVersion status includes an Unable to retrieve available updates error. By default, you cannot use the contents of the Developer Catalog because you cannot access the required image stream tags. 8.12.3. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.11, you require access to the internet to obtain the images that are necessary to install your cluster. You must have internet access to: Access OpenShift Cluster Manager Hybrid Cloud Console to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 8.12.4. Configuring your GCP project Before you can install OpenShift Container Platform, you must configure a Google Cloud Platform (GCP) project to host it. 8.12.4.1. Creating a GCP project To install OpenShift Container Platform, you must create a project in your Google Cloud Platform (GCP) account to host the cluster. Procedure Create a project to host your OpenShift Container Platform cluster. See Creating and Managing Projects in the GCP documentation. Important Your GCP project must use the Premium Network Service Tier if you are using installer-provisioned infrastructure. The Standard Network Service Tier is not supported for clusters installed using the installation program. The installation program configures internal load balancing for the api-int.<cluster_name>.<base_domain> URL; the Premium Tier is required for internal load balancing. 8.12.4.2. Enabling API services in GCP Your Google Cloud Platform (GCP) project requires access to several API services to complete OpenShift Container Platform installation. Prerequisites You created a project to host your cluster. Procedure Enable the following required API services in the project that hosts your cluster. You may also enable optional API services which are not required for installation. See Enabling services in the GCP documentation. Table 8.55. Required API services API service Console service name Compute Engine API compute.googleapis.com Cloud Resource Manager API cloudresourcemanager.googleapis.com Google DNS API dns.googleapis.com IAM Service Account Credentials API iamcredentials.googleapis.com Identity and Access Management (IAM) API iam.googleapis.com Service Usage API serviceusage.googleapis.com Table 8.56. Optional API services API service Console service name Google Cloud APIs cloudapis.googleapis.com Service Management API servicemanagement.googleapis.com Google Cloud Storage JSON API storage-api.googleapis.com Cloud Storage storage-component.googleapis.com 8.12.4.3. Configuring DNS for GCP To install OpenShift Container Platform, the Google Cloud Platform (GCP) account you use must have a dedicated public hosted zone in the same project that you host the OpenShift Container Platform cluster. This zone must be authoritative for the domain. The DNS service provides cluster DNS resolution and name lookup for external connections to the cluster. Procedure Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through GCP or another source. Note If you purchase a new domain, it can take time for the relevant DNS changes to propagate. For more information about purchasing domains through Google, see Google Domains . Create a public hosted zone for your domain or subdomain in your GCP project. See Creating public zones in the GCP documentation. Use an appropriate root domain, such as openshiftcorp.com , or subdomain, such as clusters.openshiftcorp.com . Extract the new authoritative name servers from the hosted zone records. See Look up your Cloud DNS name servers in the GCP documentation. You typically have four name servers. Update the registrar records for the name servers that your domain uses. For example, if you registered your domain to Google Domains, see the following topic in the Google Domains Help: How to switch to custom name servers . If you migrated your root domain to Google Cloud DNS, migrate your DNS records. See Migrating to Cloud DNS in the GCP documentation. If you use a subdomain, follow your company's procedures to add its delegation records to the parent domain. This process might include a request to your company's IT department or the division that controls the root domain and DNS services for your company. 8.12.4.4. GCP account limits The OpenShift Container Platform cluster uses a number of Google Cloud Platform (GCP) components, but the default Quotas do not affect your ability to install a default OpenShift Container Platform cluster. A default cluster, which contains three compute and three control plane machines, uses the following resources. Note that some resources are required only during the bootstrap process and are removed after the cluster deploys. Table 8.57. GCP resources used in a default cluster Service Component Location Total resources required Resources removed after bootstrap Service account IAM Global 5 0 Firewall rules Networking Global 11 1 Forwarding rules Compute Global 2 0 Health checks Compute Global 2 0 Images Compute Global 1 0 Networks Networking Global 1 0 Routers Networking Global 1 0 Routes Networking Global 2 0 Subnetworks Compute Global 2 0 Target pools Networking Global 2 0 Note If any of the quotas are insufficient during installation, the installation program displays an error that states both which quota was exceeded and the region. Be sure to consider your actual cluster size, planned cluster growth, and any usage from other clusters that are associated with your account. The CPU, static IP addresses, and persistent disk SSD (storage) quotas are the ones that are most likely to be insufficient. If you plan to deploy your cluster in one of the following regions, you will exceed the maximum storage quota and are likely to exceed the CPU quota limit: asia-east2 asia-northeast2 asia-south1 australia-southeast1 europe-north1 europe-west2 europe-west3 europe-west6 northamerica-northeast1 southamerica-east1 us-west2 You can increase resource quotas from the GCP console , but you might need to file a support ticket. Be sure to plan your cluster size early so that you can allow time to resolve the support ticket before you install your OpenShift Container Platform cluster. 8.12.4.5. Creating a service account in GCP OpenShift Container Platform requires a Google Cloud Platform (GCP) service account that provides authentication and authorization to access data in the Google APIs. If you do not have an existing IAM service account that contains the required roles in your project, you must create one. Prerequisites You created a project to host your cluster. Procedure Create a service account in the project that you use to host your OpenShift Container Platform cluster. See Creating a service account in the GCP documentation. Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the Owner role to it. See Granting roles to a service account for specific resources . Note While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable. Create the service account key in JSON format. See Creating service account keys in the GCP documentation. The service account key is required to create a cluster. 8.12.4.6. Required GCP roles When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. If your organization's security policies require a more restrictive set of permissions, you can create a service account with the following permissions. If you deploy your cluster into an existing virtual private cloud (VPC), the service account does not require certain networking permissions, which are noted in the following lists: Required roles for the installation program Compute Admin Security Admin Service Account Admin Service Account Key Admin Service Account User Storage Admin Required roles for creating network resources during installation DNS Administrator Required roles for user-provisioned GCP infrastructure Deployment Manager Editor The roles are applied to the service accounts that the control plane and compute machines use: Table 8.58. GCP service account permissions Account Roles Control Plane roles/compute.instanceAdmin roles/compute.networkAdmin roles/compute.securityAdmin roles/storage.admin roles/iam.serviceAccountUser Compute roles/compute.viewer roles/storage.admin 8.12.4.7. Required GCP permissions for user-provisioned infrastructure When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. If your organization's security policies require a more restrictive set of permissions, you can create custom roles with the necessary permissions. The following permissions are required for the user-provisioned infrastructure for creating and deleting the OpenShift Container Platform cluster. Example 8.68. Required permissions for creating network resources compute.addresses.create compute.addresses.createInternal compute.addresses.delete compute.addresses.get compute.addresses.list compute.addresses.use compute.addresses.useInternal compute.firewalls.create compute.firewalls.delete compute.firewalls.get compute.firewalls.list compute.forwardingRules.create compute.forwardingRules.get compute.forwardingRules.list compute.forwardingRules.setLabels compute.networks.create compute.networks.get compute.networks.list compute.networks.updatePolicy compute.routers.create compute.routers.get compute.routers.list compute.routers.update compute.routes.list compute.subnetworks.create compute.subnetworks.get compute.subnetworks.list compute.subnetworks.use compute.subnetworks.useExternalIp Example 8.69. Required permissions for creating load balancer resources compute.regionBackendServices.create compute.regionBackendServices.get compute.regionBackendServices.list compute.regionBackendServices.update compute.regionBackendServices.use compute.targetPools.addInstance compute.targetPools.create compute.targetPools.get compute.targetPools.list compute.targetPools.removeInstance compute.targetPools.use Example 8.70. Required permissions for creating DNS resources dns.changes.create dns.changes.get dns.managedZones.create dns.managedZones.get dns.managedZones.list dns.networks.bindPrivateDNSZone dns.resourceRecordSets.create dns.resourceRecordSets.list dns.resourceRecordSets.update Example 8.71. Required permissions for creating Service Account resources iam.serviceAccountKeys.create iam.serviceAccountKeys.delete iam.serviceAccountKeys.get iam.serviceAccountKeys.list iam.serviceAccounts.actAs iam.serviceAccounts.create iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.get resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 8.72. Required permissions for creating compute resources compute.disks.create compute.disks.get compute.disks.list compute.instanceGroups.create compute.instanceGroups.delete compute.instanceGroups.get compute.instanceGroups.list compute.instanceGroups.update compute.instanceGroups.use compute.instances.create compute.instances.delete compute.instances.get compute.instances.list compute.instances.setLabels compute.instances.setMetadata compute.instances.setServiceAccount compute.instances.setTags compute.instances.use compute.machineTypes.get compute.machineTypes.list Example 8.73. Required for creating storage resources storage.buckets.create storage.buckets.delete storage.buckets.get storage.buckets.list storage.objects.create storage.objects.delete storage.objects.get storage.objects.list Example 8.74. Required permissions for creating health check resources compute.healthChecks.create compute.healthChecks.get compute.healthChecks.list compute.healthChecks.useReadOnly compute.httpHealthChecks.create compute.httpHealthChecks.get compute.httpHealthChecks.list compute.httpHealthChecks.useReadOnly Example 8.75. Required permissions to get GCP zone and region related information compute.globalOperations.get compute.regionOperations.get compute.regions.list compute.zoneOperations.get compute.zones.get compute.zones.list Example 8.76. Required permissions for checking services and quotas monitoring.timeSeries.list serviceusage.quotas.get serviceusage.services.list Example 8.77. Required IAM permissions for installation iam.roles.get Example 8.78. Required Images permissions for installation compute.images.create compute.images.delete compute.images.get compute.images.list Example 8.79. Optional permission for running gather bootstrap compute.instances.getSerialPortOutput Example 8.80. Required permissions for deleting network resources compute.addresses.delete compute.addresses.deleteInternal compute.addresses.list compute.firewalls.delete compute.firewalls.list compute.forwardingRules.delete compute.forwardingRules.list compute.networks.delete compute.networks.list compute.networks.updatePolicy compute.routers.delete compute.routers.list compute.routes.list compute.subnetworks.delete compute.subnetworks.list Example 8.81. Required permissions for deleting load balancer resources compute.regionBackendServices.delete compute.regionBackendServices.list compute.targetPools.delete compute.targetPools.list Example 8.82. Required permissions for deleting DNS resources dns.changes.create dns.managedZones.delete dns.managedZones.get dns.managedZones.list dns.resourceRecordSets.delete dns.resourceRecordSets.list Example 8.83. Required permissions for deleting Service Account resources iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 8.84. Required permissions for deleting compute resources compute.disks.delete compute.disks.list compute.instanceGroups.delete compute.instanceGroups.list compute.instances.delete compute.instances.list compute.instances.stop compute.machineTypes.list Example 8.85. Required for deleting storage resources storage.buckets.delete storage.buckets.getIamPolicy storage.buckets.list storage.objects.delete storage.objects.list Example 8.86. Required permissions for deleting health check resources compute.healthChecks.delete compute.healthChecks.list compute.httpHealthChecks.delete compute.httpHealthChecks.list Example 8.87. Required Images permissions for deletion compute.images.delete compute.images.list Example 8.88. Required permissions to get Region related information compute.regions.get Example 8.89. Required Deployment Manager permissions deploymentmanager.deployments.create deploymentmanager.deployments.delete deploymentmanager.deployments.get deploymentmanager.deployments.list deploymentmanager.manifests.get deploymentmanager.operations.get deploymentmanager.resources.list Additional resources Optimizing storage 8.12.4.8. Supported GCP regions You can deploy an OpenShift Container Platform cluster to the following Google Cloud Platform (GCP) regions: asia-east1 (Changhua County, Taiwan) asia-east2 (Hong Kong) asia-northeast1 (Tokyo, Japan) asia-northeast2 (Osaka, Japan) asia-northeast3 (Seoul, South Korea) asia-south1 (Mumbai, India) asia-south2 (Delhi, India) asia-southeast1 (Jurong West, Singapore) asia-southeast2 (Jakarta, Indonesia) australia-southeast1 (Sydney, Australia) australia-southeast2 (Melbourne, Australia) europe-central2 (Warsaw, Poland) europe-north1 (Hamina, Finland) europe-southwest1 (Madrid, Spain) europe-west1 (St. Ghislain, Belgium) europe-west2 (London, England, UK) europe-west3 (Frankfurt, Germany) europe-west4 (Eemshaven, Netherlands) europe-west6 (Zurich, Switzerland) europe-west8 (Milan, Italy) europe-west9 (Paris, France) europe-west12 (Turin, Italy) northamerica-northeast1 (Montreal, Quebec, Canada) northamerica-northeast2 (Toronto, Ontario, Canada) southamerica-east1 (Sao Paulo, Brazil) southamerica-west1 (Santiago, Chile) us-central1 (Council Bluffs, Iowa, USA) us-east1 (Moncks Corner, South Carolina, USA) us-east4 (Ashburn, Northern Virginia, USA) us-east5 (Columbus, Ohio) us-south1 (Dallas, Texas) us-west1 (The Dalles, Oregon, USA) us-west2 (Los Angeles, California, USA) us-west3 (Salt Lake City, Utah, USA) us-west4 (Las Vegas, Nevada, USA) Note To determine which machine type instances are available by region and zone, see the Google documentation . 8.12.4.9. Installing and configuring CLI tools for GCP To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must install and configure the CLI tools for GCP. Prerequisites You created a project to host your cluster. You created a service account and granted it the required permissions. Procedure Install the following binaries in USDPATH : gcloud gsutil See Install the latest Cloud SDK version in the GCP documentation. Authenticate using the gcloud tool with your configured service account. See Authorizing with a service account in the GCP documentation. 8.12.5. Requirements for a cluster with user-provisioned infrastructure For a cluster that contains user-provisioned infrastructure, you must deploy all of the required machines. This section describes the requirements for deploying OpenShift Container Platform on user-provisioned infrastructure. 8.12.5.1. Required machines for cluster installation The smallest OpenShift Container Platform clusters require the following hosts: Table 8.59. Minimum required hosts Hosts Description One temporary bootstrap machine The cluster requires the bootstrap machine to deploy the OpenShift Container Platform cluster on the three control plane machines. You can remove the bootstrap machine after you install the cluster. Three control plane machines The control plane machines run the Kubernetes and OpenShift Container Platform services that form the control plane. At least two compute machines, which are also known as worker machines. The workloads requested by OpenShift Container Platform users run on the compute machines. Important To maintain high availability of your cluster, use separate physical hosts for these cluster machines. The bootstrap and control plane machines must use Red Hat Enterprise Linux CoreOS (RHCOS) as the operating system. However, the compute machines can choose between Red Hat Enterprise Linux CoreOS (RHCOS), Red Hat Enterprise Linux (RHEL) 8.6 and later. Note that RHCOS is based on Red Hat Enterprise Linux (RHEL) 8 and inherits all of its hardware certifications and requirements. See Red Hat Enterprise Linux technology capabilities and limits . 8.12.5.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 8.60. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage IOPS [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. 8.12.5.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 8.90. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 8.12.5.4. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . 8.12.6. Creating the installation files for GCP To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must generate the files that the installation program needs to deploy your cluster and modify them so that the cluster creates only the machines that it will use. You generate and customize the install-config.yaml file, Kubernetes manifests, and Ignition config files. You also have the option to first set up a separate var partition during the preparation phases of installation. 8.12.6.1. Optional: Creating a separate /var partition It is recommended that disk partitioning for OpenShift Container Platform be left to the installer. However, there are cases where you might want to create separate partitions in a part of the filesystem that you expect to grow. OpenShift Container Platform supports the addition of a single partition to attach storage to either the /var partition or a subdirectory of /var . For example: /var/lib/containers : Holds container-related content that can grow as more images and containers are added to a system. /var/lib/etcd : Holds data that you might want to keep separate for purposes such as performance optimization of etcd storage. /var : Holds data that you might want to keep separate for purposes such as auditing. Storing the contents of a /var directory separately makes it easier to grow storage for those areas as needed and reinstall OpenShift Container Platform at a later date and keep that data intact. With this method, you will not have to pull all your containers again, nor will you have to copy massive log files when you update systems. Because /var must be in place before a fresh installation of Red Hat Enterprise Linux CoreOS (RHCOS), the following procedure sets up the separate /var partition by creating a machine config manifest that is inserted during the openshift-install preparation phases of an OpenShift Container Platform installation. Important If you follow the steps to create a separate /var partition in this procedure, it is not necessary to create the Kubernetes manifest and Ignition config files again as described later in this section. Procedure Create a directory to hold the OpenShift Container Platform installation files: USD mkdir USDHOME/clusterconfig Run openshift-install to create a set of files in the manifest and openshift subdirectories. Answer the system questions as you are prompted: USD openshift-install create manifests --dir USDHOME/clusterconfig Example output ? SSH Public Key ... INFO Credentials loaded from the "myprofile" profile in file "/home/myuser/.aws/credentials" INFO Consuming Install Config from target directory INFO Manifests created in: USDHOME/clusterconfig/manifests and USDHOME/clusterconfig/openshift Optional: Confirm that the installation program created manifests in the clusterconfig/openshift directory: USD ls USDHOME/clusterconfig/openshift/ Example output 99_kubeadmin-password-secret.yaml 99_openshift-cluster-api_master-machines-0.yaml 99_openshift-cluster-api_master-machines-1.yaml 99_openshift-cluster-api_master-machines-2.yaml ... Create a Butane config that configures the additional partition. For example, name the file USDHOME/clusterconfig/98-var-partition.bu , change the disk device name to the name of the storage device on the worker systems, and set the storage size as appropriate. This example places the /var directory on a separate partition: variant: openshift version: 4.11.0 metadata: labels: machineconfiguration.openshift.io/role: worker name: 98-var-partition storage: disks: - device: /dev/<device_name> 1 partitions: - label: var start_mib: <partition_start_offset> 2 size_mib: <partition_size> 3 filesystems: - device: /dev/disk/by-partlabel/var path: /var format: xfs mount_options: [defaults, prjquota] 4 with_mount_unit: true 1 The storage device name of the disk that you want to partition. 2 When adding a data partition to the boot disk, a minimum value of 25000 MiB (Mebibytes) is recommended. The root file system is automatically resized to fill all available space up to the specified offset. If no value is specified, or if the specified value is smaller than the recommended minimum, the resulting root file system will be too small, and future reinstalls of RHCOS might overwrite the beginning of the data partition. 3 The size of the data partition in mebibytes. 4 The prjquota mount option must be enabled for filesystems used for container storage. Note When creating a separate /var partition, you cannot use different instance types for worker nodes, if the different instance types do not have the same device name. Create a manifest from the Butane config and save it to the clusterconfig/openshift directory. For example, run the following command: USD butane USDHOME/clusterconfig/98-var-partition.bu -o USDHOME/clusterconfig/openshift/98-var-partition.yaml Run openshift-install again to create Ignition configs from a set of files in the manifest and openshift subdirectories: USD openshift-install create ignition-configs --dir USDHOME/clusterconfig USD ls USDHOME/clusterconfig/ auth bootstrap.ign master.ign metadata.json worker.ign Now you can use the Ignition config files as input to the installation procedures to install Red Hat Enterprise Linux CoreOS (RHCOS) systems. 8.12.6.2. Creating the installation configuration file You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP). Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. For a restricted network installation, these files are on your mirror host. Have the imageContentSources values that were generated during mirror registry creation. Obtain the contents of the certificate for your mirror registry. Obtain service principal permissions at the subscription level. Procedure Create the install-config.yaml file. Change to the directory that contains the installation program and run the following command: USD ./openshift-install create install-config --dir <installation_directory> 1 1 For <installation_directory> , specify the directory name to store the files that the installation program creates. When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version. At the prompts, provide the configuration details for your cloud: Optional: Select an SSH key to use to access your cluster machines. Note For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses. Select gcp as the platform to target. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. Paste the pull secret from the Red Hat OpenShift Cluster Manager . Edit the install-config.yaml file to give the additional information that is required for an installation in a restricted network. Update the pullSecret value to contain the authentication information for your registry: pullSecret: '{"auths":{"<mirror_host_name>:5000": {"auth": "<credentials>","email": "[email protected]"}}}' For <mirror_host_name> , specify the registry domain name that you specified in the certificate for your mirror registry, and for <credentials> , specify the base64-encoded user name and password for your mirror registry. Add the additionalTrustBundle parameter and value. additionalTrustBundle: | -----BEGIN CERTIFICATE----- ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ -----END CERTIFICATE----- The value must be the contents of the certificate file that you used for your mirror registry. The certificate file can be an existing, trusted certificate authority, or the self-signed certificate that you generated for the mirror registry. Define the network and subnets for the VPC to install the cluster in under the parent platform.gcp field: network: <existing_vpc> controlPlaneSubnet: <control_plane_subnet> computeSubnet: <compute_subnet> For platform.gcp.network , specify the name for the existing Google VPC. For platform.gcp.controlPlaneSubnet and platform.gcp.computeSubnet , specify the existing subnets to deploy the control plane machines and compute machines, respectively. Add the image content resources, which resemble the following YAML excerpt: imageContentSources: - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: quay.io/openshift-release-dev/ocp-release - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: registry.redhat.io/ocp/release For these values, use the imageContentSources that you recorded during mirror registry creation. Make any other modifications to the install-config.yaml file that you require. You can find more information about the available parameters in the Installation configuration parameters section. Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now. 8.12.6.3. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You have an existing install-config.yaml file. You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 8.12.6.4. Creating the Kubernetes manifest and Ignition config files Because you must modify some cluster definition files and manually start the cluster machines, you must generate the Kubernetes manifest and Ignition config files that the cluster needs to configure the machines. The installation configuration file transforms into the Kubernetes manifests. The manifests wrap into the Ignition configuration files, which are later used to configure the cluster machines. Important The Ignition config files that the OpenShift Container Platform installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Prerequisites You obtained the OpenShift Container Platform installation program. For a restricted network installation, these files are on your mirror host. You created the install-config.yaml installation configuration file. Procedure Change to the directory that contains the OpenShift Container Platform installation program and generate the Kubernetes manifests for the cluster: USD ./openshift-install create manifests --dir <installation_directory> 1 1 For <installation_directory> , specify the installation directory that contains the install-config.yaml file you created. Remove the Kubernetes manifest files that define the control plane machines: USD rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml By removing these files, you prevent the cluster from automatically generating control plane machines. Optional: If you do not want the cluster to provision compute machines, remove the Kubernetes manifest files that define the worker machines: USD rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml Because you create and manage the worker machines yourself, you do not need to initialize these machines. Check that the mastersSchedulable parameter in the <installation_directory>/manifests/cluster-scheduler-02-config.yml Kubernetes manifest file is set to false . This setting prevents pods from being scheduled on the control plane machines: Open the <installation_directory>/manifests/cluster-scheduler-02-config.yml file. Locate the mastersSchedulable parameter and ensure that it is set to false . Save and exit the file. Optional: If you do not want the Ingress Operator to create DNS records on your behalf, remove the privateZone and publicZone sections from the <installation_directory>/manifests/cluster-dns-02-config.yml DNS configuration file: apiVersion: config.openshift.io/v1 kind: DNS metadata: creationTimestamp: null name: cluster spec: baseDomain: example.openshift.com privateZone: 1 id: mycluster-100419-private-zone publicZone: 2 id: example.openshift.com status: {} 1 2 Remove this section completely. If you do so, you must add ingress DNS records manually in a later step. To create the Ignition configuration files, run the following command from the directory that contains the installation program: USD ./openshift-install create ignition-configs --dir <installation_directory> 1 1 For <installation_directory> , specify the same installation directory. Ignition config files are created for the bootstrap, control plane, and compute nodes in the installation directory. The kubeadmin-password and kubeconfig files are created in the ./<installation_directory>/auth directory: Additional resources Optional: Adding the ingress DNS records 8.12.7. Exporting common variables 8.12.7.1. Extracting the infrastructure name The Ignition config files contain a unique cluster identifier that you can use to uniquely identify your cluster in Google Cloud Platform (GCP). The infrastructure name is also used to locate the appropriate GCP resources during an OpenShift Container Platform installation. The provided Deployment Manager templates contain references to this infrastructure name, so you must extract it. Prerequisites You obtained the OpenShift Container Platform installation program and the pull secret for your cluster. You generated the Ignition config files for your cluster. You installed the jq package. Procedure To extract and view the infrastructure name from the Ignition config file metadata, run the following command: USD jq -r .infraID <installation_directory>/metadata.json 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Example output openshift-vw9j6 1 1 The output of this command is your cluster name and a random string. 8.12.7.2. Exporting common variables for Deployment Manager templates You must export a common set of variables that are used with the provided Deployment Manager templates used to assist in completing a user-provided infrastructure install on Google Cloud Platform (GCP). Note Specific Deployment Manager templates can also require additional exported variables, which are detailed in their related procedures. Prerequisites Obtain the OpenShift Container Platform installation program and the pull secret for your cluster. Generate the Ignition config files for your cluster. Install the jq package. Procedure Export the following common variables to be used by the provided Deployment Manager templates: USD export BASE_DOMAIN='<base_domain>' USD export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' USD export NETWORK_CIDR='10.0.0.0/16' USD export MASTER_SUBNET_CIDR='10.0.0.0/17' USD export WORKER_SUBNET_CIDR='10.0.128.0/17' USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 USD export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json` USD export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json` USD export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json` USD export REGION=`jq -r .gcp.region <installation_directory>/metadata.json` 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. 8.12.8. Creating a VPC in GCP You must create a VPC in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. You can customize the VPC to meet your requirements. One way to create the VPC is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Procedure Copy the template from the Deployment Manager template for the VPC section of this topic and save it as 01_vpc.py on your computer. This template describes the VPC that your cluster requires. Create a 01_vpc.yaml resource definition file: USD cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{WORKER_SUBNET_CIDR}' 4 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 region is the region to deploy the cluster into, for example us-central1 . 3 master_subnet_cidr is the CIDR for the master subnet, for example 10.0.0.0/17 . 4 worker_subnet_cidr is the CIDR for the worker subnet, for example 10.0.128.0/17 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-vpc --config 01_vpc.yaml 8.12.8.1. Deployment Manager template for the VPC You can use the following Deployment Manager template to deploy the VPC that you need for your OpenShift Container Platform cluster: Example 8.91. 01_vpc.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-network', 'type': 'compute.v1.network', 'properties': { 'region': context.properties['region'], 'autoCreateSubnetworks': False } }, { 'name': context.properties['infra_id'] + '-master-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['master_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-worker-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources} 8.12.9. Networking requirements for user-provisioned infrastructure All the Red Hat Enterprise Linux CoreOS (RHCOS) machines require networking to be configured in initramfs during boot to fetch their Ignition config files. 8.12.9.1. Setting the cluster node hostnames through DHCP On Red Hat Enterprise Linux CoreOS (RHCOS) machines, the hostname is set through NetworkManager. By default, the machines obtain their hostname through DHCP. If the hostname is not provided by DHCP, set statically through kernel arguments, or another method, it is obtained through a reverse DNS lookup. Reverse DNS lookup occurs after the network has been initialized on a node and can take time to resolve. Other system services can start prior to this and detect the hostname as localhost or similar. You can avoid this by using DHCP to provide the hostname for each cluster node. Additionally, setting the hostnames through DHCP can bypass any manual DNS record name configuration errors in environments that have a DNS split-horizon implementation. 8.12.9.2. Network connectivity requirements You must configure the network connectivity between machines to allow OpenShift Container Platform cluster components to communicate. Each machine must be able to resolve the hostnames of all other machines in the cluster. This section provides details about the ports that are required. Table 8.61. Ports used for all-machine to all-machine communications Protocol Port Description ICMP N/A Network reachability tests TCP 1936 Metrics 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 and the Cluster Version Operator on port 9099 . 10250 - 10259 The default ports that Kubernetes reserves 10256 openshift-sdn UDP 4789 VXLAN 6081 Geneve 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 . 500 IPsec IKE packets 4500 IPsec NAT-T packets TCP/UDP 30000 - 32767 Kubernetes node port ESP N/A IPsec Encapsulating Security Payload (ESP) Table 8.62. Ports used for all-machine to control plane communications Protocol Port Description TCP 6443 Kubernetes API Table 8.63. Ports used for control plane machine to control plane machine communications Protocol Port Description TCP 2379 - 2380 etcd server and peer ports 8.12.10. Creating load balancers in GCP You must configure load balancers in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for the internal load balancer section of this topic and save it as 02_lb_int.py on your computer. This template describes the internal load balancing objects that your cluster requires. For an external cluster, also copy the template from the Deployment Manager template for the external load balancer section of this topic and save it as 02_lb_ext.py on your computer. This template describes the external load balancing objects that your cluster requires. Export the variables that the deployment template uses: Export the cluster network location: USD export CLUSTER_NETWORK=(`gcloud compute networks describe USD{INFRA_ID}-network --format json | jq -r .selfLink`) Export the control plane subnet location: USD export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-master-subnet --region=USD{REGION} --format json | jq -r .selfLink`) Export the three zones that the cluster uses: USD export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d "/" -f9`) USD export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d "/" -f9`) USD export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`) Create a 02_infra.yaml resource definition file: USD cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF 1 2 Required only when deploying an external cluster. 3 infra_id is the INFRA_ID infrastructure name from the extraction step. 4 region is the region to deploy the cluster into, for example us-central1 . 5 control_subnet is the URI to the control subnet. 6 zones are the zones to deploy the control plane instances into, like us-east1-b , us-east1-c , and us-east1-d . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml Export the cluster IP address: USD export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`) For an external cluster, also export the cluster public IP address: USD export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`) 8.12.10.1. Deployment Manager template for the external load balancer You can use the following Deployment Manager template to deploy the external load balancer that you need for your OpenShift Container Platform cluster: Example 8.92. 02_lb_ext.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-cluster-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-http-health-check', 'type': 'compute.v1.httpHealthCheck', 'properties': { 'port': 6080, 'requestPath': '/readyz' } }, { 'name': context.properties['infra_id'] + '-api-target-pool', 'type': 'compute.v1.targetPool', 'properties': { 'region': context.properties['region'], 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'], 'instances': [] } }, { 'name': context.properties['infra_id'] + '-api-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'region': context.properties['region'], 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources} 8.12.10.2. Deployment Manager template for the internal load balancer You can use the following Deployment Manager template to deploy the internal load balancer that you need for your OpenShift Container Platform cluster: Example 8.93. 02_lb_int.py Deployment Manager template def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': "HTTPS" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources} You will need this template in addition to the 02_lb_ext.py template when you create an external cluster. 8.12.11. Creating a private DNS zone in GCP You must configure a private DNS zone in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create this component is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for the private DNS section of this topic and save it as 02_dns.py on your computer. This template describes the private DNS objects that your cluster requires. Create a 02_dns.yaml resource definition file: USD cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 cluster_domain is the domain for the cluster, for example openshift.example.com . 3 cluster_network is the selfLink URL to the cluster network. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml The templates do not create DNS entries due to limitations of Deployment Manager, so you must create them manually: Add the internal DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone For an external cluster, also add the external DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} 8.12.11.1. Deployment Manager template for the private DNS You can use the following Deployment Manager template to deploy the private DNS that you need for your OpenShift Container Platform cluster: Example 8.94. 02_dns.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-private-zone', 'type': 'dns.v1.managedZone', 'properties': { 'description': '', 'dnsName': context.properties['cluster_domain'] + '.', 'visibility': 'private', 'privateVisibilityConfig': { 'networks': [{ 'networkUrl': context.properties['cluster_network'] }] } } }] return {'resources': resources} 8.12.12. Creating firewall rules in GCP You must create firewall rules in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for firewall rules section of this topic and save it as 03_firewall.py on your computer. This template describes the security groups that your cluster requires. Create a 03_firewall.yaml resource definition file: USD cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF 1 allowed_external_cidr is the CIDR range that can access the cluster API and SSH to the bootstrap host. For an internal cluster, set this value to USD{NETWORK_CIDR} . 2 infra_id is the INFRA_ID infrastructure name from the extraction step. 3 cluster_network is the selfLink URL to the cluster network. 4 network_cidr is the CIDR of the VPC network, for example 10.0.0.0/16 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml 8.12.12.1. Deployment Manager template for firewall rules You can use the following Deployment Manager template to deploy the firewall rues that you need for your OpenShift Container Platform cluster: Example 8.95. 03_firewall.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-health-checks', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6080', '6443', '22624'] }], 'sourceRanges': ['35.191.0.0/16', '130.211.0.0/22', '209.85.152.0/22', '209.85.204.0/22'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-etcd', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['2379-2380'] }], 'sourceTags': [context.properties['infra_id'] + '-master'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-control-plane', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['10257'] },{ 'IPProtocol': 'tcp', 'ports': ['10259'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-internal-network', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'icmp' },{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['network_cidr']], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }, { 'name': context.properties['infra_id'] + '-internal-cluster', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'udp', 'ports': ['4789', '6081'] },{ 'IPProtocol': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ 'IPProtocol': 'tcp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'udp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'tcp', 'ports': ['10250'] },{ 'IPProtocol': 'tcp', 'ports': ['30000-32767'] },{ 'IPProtocol': 'udp', 'ports': ['30000-32767'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }] return {'resources': resources} 8.12.13. Creating IAM roles in GCP You must create IAM roles in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Procedure Copy the template from the Deployment Manager template for IAM roles section of this topic and save it as 03_iam.py on your computer. This template describes the IAM roles that your cluster requires. Create a 03_iam.yaml resource definition file: USD cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml Export the variable for the master service account: USD export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the variable for the worker service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the variable for the subnet that hosts the compute machines: USD export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`) The templates do not create the policy bindings due to limitations of Deployment Manager, so you must create them manually: USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.instanceAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.securityAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/iam.serviceAccountUser" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/storage.admin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/compute.viewer" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/storage.admin" Create a service account key and store it locally for later use: USD gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT} 8.12.13.1. Deployment Manager template for IAM roles You can use the following Deployment Manager template to deploy the IAM roles that you need for your OpenShift Container Platform cluster: Example 8.96. 03_iam.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-m', 'displayName': context.properties['infra_id'] + '-master-node' } }, { 'name': context.properties['infra_id'] + '-worker-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-w', 'displayName': context.properties['infra_id'] + '-worker-node' } }] return {'resources': resources} 8.12.14. Creating the RHCOS cluster image for the GCP infrastructure You must use a valid Red Hat Enterprise Linux CoreOS (RHCOS) image for Google Cloud Platform (GCP) for your OpenShift Container Platform nodes. Procedure Obtain the RHCOS image from the RHCOS image mirror page. Important The RHCOS images might not change with every release of OpenShift Container Platform. You must download an image with the highest version that is less than or equal to the OpenShift Container Platform version that you install. Use the image version that matches your OpenShift Container Platform version if it is available. The file name contains the OpenShift Container Platform version number in the format rhcos-<version>-<arch>-gcp.<arch>.tar.gz . Create the Google storage bucket: USD gsutil mb gs://<bucket_name> Upload the RHCOS image to the Google storage bucket: USD gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name> Export the uploaded RHCOS image location as a variable: USD export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz Create the cluster image: USD gcloud compute images create "USD{INFRA_ID}-rhcos-image" \ --source-uri="USD{IMAGE_SOURCE}" 8.12.15. Creating the bootstrap machine in GCP You must create the bootstrap machine in Google Cloud Platform (GCP) to use during OpenShift Container Platform cluster initialization. One way to create this machine is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your bootstrap machine, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Ensure pyOpenSSL is installed. Procedure Copy the template from the Deployment Manager template for the bootstrap machine section of this topic and save it as 04_bootstrap.py on your computer. This template describes the bootstrap machine that your cluster requires. Export the location of the Red Hat Enterprise Linux CoreOS (RHCOS) image that the installation program requires: USD export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`) Create a bucket and upload the bootstrap.ign file: USD gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition USD gsutil cp <installation_directory>/bootstrap.ign gs://USD{INFRA_ID}-bootstrap-ignition/ Create a signed URL for the bootstrap instance to use to access the Ignition config. Export the URL from the output as a variable: USD export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep "^gs:" | awk '{print USD5}'` Create a 04_bootstrap.yaml resource definition file: USD cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{BOOTSTRAP_IGN}' 9 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 region is the region to deploy the cluster into, for example us-central1 . 3 zone is the zone to deploy the bootstrap instance into, for example us-central1-b . 4 cluster_network is the selfLink URL to the cluster network. 5 control_subnet is the selfLink URL to the control subnet. 6 image is the selfLink URL to the RHCOS image. 7 machine_type is the machine type of the instance, for example n1-standard-4 . 8 root_volume_size is the boot disk size for the bootstrap machine. 9 bootstrap_ign is the URL output when creating a signed URL. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-bootstrap --config 04_bootstrap.yaml The templates do not manage load balancer membership due to limitations of Deployment Manager, so you must add the bootstrap machine manually. Add the bootstrap instance to the internal load balancer instance group: USD gcloud compute instance-groups unmanaged add-instances \ USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap Add the bootstrap instance group to the internal load balancer backend service: USD gcloud compute backend-services add-backend \ USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} 8.12.15.1. Deployment Manager template for the bootstrap machine You can use the following Deployment Manager template to deploy the bootstrap machine that you need for your OpenShift Container Platform cluster: Example 8.97. 04_bootstrap.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { 'name': context.properties['infra_id'] + '-bootstrap', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': '{"ignition":{"config":{"replace":{"source":"' + context.properties['bootstrap_ign'] + '"}},"version":"3.2.0"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(ref.' + context.properties['infra_id'] + '-bootstrap-public-ip.address)' }] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-bootstrap' ] }, 'zone': context.properties['zone'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources} 8.12.16. Creating the control plane machines in GCP You must create the control plane machines in Google Cloud Platform (GCP) for your cluster to use. One way to create these machines is to modify the provided Deployment Manager template. Note If you do not use the provided Deployment Manager template to create your control plane machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Procedure Copy the template from the Deployment Manager template for control plane machines section of this topic and save it as 05_control_plane.py on your computer. This template describes the control plane machines that your cluster requires. Export the following variable required by the resource definition: USD export MASTER_IGNITION=`cat <installation_directory>/master.ign` Create a 05_control_plane.yaml resource definition file: USD cat <<EOF >05_control_plane.yaml imports: - path: 05_control_plane.py resources: - name: cluster-control-plane type: 05_control_plane.py properties: infra_id: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{MASTER_IGNITION}' 7 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 zones are the zones to deploy the control plane instances into, for example us-central1-a , us-central1-b , and us-central1-c . 3 control_subnet is the selfLink URL to the control subnet. 4 image is the selfLink URL to the RHCOS image. 5 machine_type is the machine type of the instance, for example n1-standard-4 . 6 service_account_email is the email address for the master service account that you created. 7 ignition is the contents of the master.ign file. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml The templates do not manage load balancer membership due to limitations of Deployment Manager, so you must add the control plane machines manually. Run the following commands to add the control plane machines to the appropriate instance groups: USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2 For an external cluster, you must also run the following commands to add the control plane machines to the target pools: USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_0}" --instances=USD{INFRA_ID}-master-0 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_1}" --instances=USD{INFRA_ID}-master-1 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_2}" --instances=USD{INFRA_ID}-master-2 8.12.16.1. Deployment Manager template for control plane machines You can use the following Deployment Manager template to deploy the control plane machines that you need for your OpenShift Container Platform cluster: Example 8.98. 05_control_plane.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-0', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][0] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][0] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][0] } }, { 'name': context.properties['infra_id'] + '-master-1', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][1] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][1] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][1] } }, { 'name': context.properties['infra_id'] + '-master-2', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][2] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][2] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][2] } }] return {'resources': resources} 8.12.17. Wait for bootstrap completion and remove bootstrap resources in GCP After you create all of the required infrastructure in Google Cloud Platform (GCP), wait for the bootstrap process to complete on the machines that you provisioned by using the Ignition config files that you generated with the installation program. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Procedure Change to the directory that contains the installation program and run the following command: USD ./openshift-install wait-for bootstrap-complete --dir <installation_directory> \ 1 --log-level info 2 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. 2 To view different installation details, specify warn , debug , or error instead of info . If the command exits without a FATAL warning, your production control plane has initialized. Delete the bootstrap resources: USD gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} USD gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign USD gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition USD gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap 8.12.18. Creating additional worker machines in GCP You can create worker machines in Google Cloud Platform (GCP) for your cluster to use by launching individual instances discretely or by automated processes outside the cluster, such as auto scaling groups. You can also take advantage of the built-in cluster scaling mechanisms and the machine API in OpenShift Container Platform. In this example, you manually launch one instance by using the Deployment Manager template. Additional instances can be launched by including additional resources of type 06_worker.py in the file. Note If you do not use the provided Deployment Manager template to create your worker machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. Prerequisites Configure a GCP account. Generate the Ignition config files for your cluster. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Procedure Copy the template from the Deployment Manager template for worker machines section of this topic and save it as 06_worker.py on your computer. This template describes the worker machines that your cluster requires. Export the variables that the resource definition uses. Export the subnet that hosts the compute machines: USD export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`) Export the email address for your service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the location of the compute machine Ignition config file: USD export WORKER_IGNITION=`cat <installation_directory>/worker.ign` Create a 06_worker.yaml resource definition file: USD cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF 1 name is the name of the worker machine, for example worker-0 . 2 9 infra_id is the INFRA_ID infrastructure name from the extraction step. 3 10 zone is the zone to deploy the worker machine into, for example us-central1-a . 4 11 compute_subnet is the selfLink URL to the compute subnet. 5 12 image is the selfLink URL to the RHCOS image. 1 6 13 machine_type is the machine type of the instance, for example n1-standard-4 . 7 14 service_account_email is the email address for the worker service account that you created. 8 15 ignition is the contents of the worker.ign file. Optional: If you want to launch additional instances, include additional resources of type 06_worker.py in your 06_worker.yaml resource definition file. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml To use a GCP Marketplace image, specify the offer to use: OpenShift Container Platform: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-ocp-48-x86-64-202210040145 OpenShift Platform Plus: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-opp-48-x86-64-202206140145 OpenShift Kubernetes Engine: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-oke-48-x86-64-202206140145 8.12.18.1. Deployment Manager template for worker machines You can use the following Deployment Manager template to deploy the worker machines that you need for your OpenShift Container Platform cluster: Example 8.99. 06_worker.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-' + context.env['name'], 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['compute_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-worker', ] }, 'zone': context.properties['zone'] } }] return {'resources': resources} 8.12.19. Logging in to the cluster by using the CLI You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation. Prerequisites You deployed an OpenShift Container Platform cluster. You installed the oc CLI. Procedure Export the kubeadmin credentials: USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Verify you can run oc commands successfully using the exported configuration: USD oc whoami Example output system:admin 8.12.20. Disabling the default OperatorHub sources Operator catalogs that source content provided by Red Hat and community projects are configured for OperatorHub by default during an OpenShift Container Platform installation. In a restricted network environment, you must disable the default catalogs as a cluster administrator. Procedure Disable the sources for the default catalogs by adding disableAllDefaultSources: true to the OperatorHub object: USD oc patch OperatorHub cluster --type json \ -p '[{"op": "add", "path": "/spec/disableAllDefaultSources", "value": true}]' Tip Alternatively, you can use the web console to manage catalog sources. From the Administration Cluster Settings Configuration OperatorHub page, click the Sources tab, where you can create, update, delete, disable, and enable individual sources. 8.12.21. Approving the certificate signing requests for your machines When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests. Prerequisites You added machines to your cluster. Procedure Confirm that the cluster recognizes the machines: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.24.0 master-1 Ready master 63m v1.24.0 master-2 Ready master 64m v1.24.0 The output lists all of the machines that you created. Note The preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved. Review the pending CSRs and ensure that you see the client requests with the Pending or Approved status for each machine that you added to the cluster: USD oc get csr Example output NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending ... In this example, two machines are joining the cluster. You might see more approved CSRs in the list. If the CSRs were not approved, after all of the pending CSRs for the machines you added are in Pending status, approve the CSRs for your cluster machines: Note Because the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the machine-approver if the Kubelet requests a new certificate with identical parameters. Note For clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the oc exec , oc rsh , and oc logs commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by the node-bootstrapper service account in the system:node or system:admin groups, and confirm the identity of the node. To approve them individually, run the following command for each valid CSR: USD oc adm certificate approve <csr_name> 1 1 <csr_name> is the name of a CSR from the list of current CSRs. To approve all pending CSRs, run the following command: USD oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve Note Some Operators might not become available until some CSRs are approved. Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster: USD oc get csr Example output NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending ... If the remaining CSRs are not approved, and are in the Pending status, approve the CSRs for your cluster machines: To approve them individually, run the following command for each valid CSR: USD oc adm certificate approve <csr_name> 1 1 <csr_name> is the name of a CSR from the list of current CSRs. To approve all pending CSRs, run the following command: USD oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve After all client and server CSRs have been approved, the machines have the Ready status. Verify this by running the following command: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.24.0 master-1 Ready master 73m v1.24.0 master-2 Ready master 74m v1.24.0 worker-0 Ready worker 11m v1.24.0 worker-1 Ready worker 11m v1.24.0 Note It can take a few minutes after approval of the server CSRs for the machines to transition to the Ready status. Additional information For more information on CSRs, see Certificate Signing Requests . 8.12.22. Optional: Adding the ingress DNS records If you removed the DNS zone configuration when creating Kubernetes manifests and generating Ignition configs, you must manually create DNS records that point at the ingress load balancer. You can create either a wildcard *.apps.{baseDomain}. or specific records. You can use A, CNAME, and other records per your requirements. Prerequisites Configure a GCP account. Remove the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs. Create and configure a VPC and associated subnets in GCP. Create and configure networking and load balancers in GCP. Create control plane and compute roles. Create the bootstrap machine. Create the control plane machines. Create the worker machines. Procedure Wait for the Ingress router to create a load balancer and populate the EXTERNAL-IP field: USD oc -n openshift-ingress get service router-default Example output NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE router-default LoadBalancer 172.30.18.154 35.233.157.184 80:32288/TCP,443:31215/TCP 98 Add the A record to your zones: To use A records: Export the variable for the router IP address: USD export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'` Add the A record to the private zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone For an external cluster, also add the A record to the public zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} To add explicit domains instead of using a wildcard, create entries for each of the cluster's current routes: USD oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{"\n"}{end}{end}' routes Example output oauth-openshift.apps.your.cluster.domain.example.com console-openshift-console.apps.your.cluster.domain.example.com downloads-openshift-console.apps.your.cluster.domain.example.com alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com 8.12.23. Completing a GCP installation on user-provisioned infrastructure After you start the OpenShift Container Platform installation on Google Cloud Platform (GCP) user-provisioned infrastructure, you can monitor the cluster events until the cluster is ready. Prerequisites Deploy the bootstrap machine for an OpenShift Container Platform cluster on user-provisioned GCP infrastructure. Install the oc CLI and log in. Procedure Complete the cluster installation: USD ./openshift-install --dir <installation_directory> wait-for install-complete 1 Example output INFO Waiting up to 30m0s for the cluster to initialize... 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Important The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Observe the running state of your cluster. Run the following command to view the current cluster version and status: USD oc get clusterversion Example output NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete Run the following command to view the Operators managed on the control plane by the Cluster Version Operator (CVO): USD oc get clusteroperators Example output NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m Run the following command to view your cluster pods: USD oc get pods --all-namespaces Example output NAMESPACE NAME READY STATUS RESTARTS AGE kube-system etcd-member-ip-10-0-3-111.us-east-2.compute.internal 1/1 Running 0 35m kube-system etcd-member-ip-10-0-3-239.us-east-2.compute.internal 1/1 Running 0 37m kube-system etcd-member-ip-10-0-3-24.us-east-2.compute.internal 1/1 Running 0 35m openshift-apiserver-operator openshift-apiserver-operator-6d6674f4f4-h7t2t 1/1 Running 1 37m openshift-apiserver apiserver-fm48r 1/1 Running 0 30m openshift-apiserver apiserver-fxkvv 1/1 Running 0 29m openshift-apiserver apiserver-q85nm 1/1 Running 0 29m ... openshift-service-ca-operator openshift-service-ca-operator-66ff6dc6cd-9r257 1/1 Running 0 37m openshift-service-ca apiservice-cabundle-injector-695b6bcbc-cl5hm 1/1 Running 0 35m openshift-service-ca configmap-cabundle-injector-8498544d7-25qn6 1/1 Running 0 35m openshift-service-ca service-serving-cert-signer-6445fc9c6-wqdqn 1/1 Running 0 35m openshift-service-catalog-apiserver-operator openshift-service-catalog-apiserver-operator-549f44668b-b5q2w 1/1 Running 0 32m openshift-service-catalog-controller-manager-operator openshift-service-catalog-controller-manager-operator-b78cr2lnm 1/1 Running 0 31m When the current cluster version is AVAILABLE , the installation is complete. 8.12.24. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.11, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager Hybrid Cloud Console . After you confirm that your OpenShift Cluster Manager Hybrid Cloud Console inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 8.12.25. steps Customize your cluster . Configure image streams for the Cluster Samples Operator and the must-gather tool. Learn how to use Operator Lifecycle Manager (OLM) on restricted networks . If the mirror registry that you used to install your cluster has a trusted CA, add it to the cluster by configuring additional trust stores . If necessary, you can opt out of remote health reporting . If necessary, see Registering your disconnected cluster 8.13. Uninstalling a cluster on GCP You can remove a cluster that you deployed to Google Cloud Platform (GCP). 8.13.1. Removing a cluster that uses installer-provisioned infrastructure You can remove a cluster that uses installer-provisioned infrastructure from your cloud. Note After uninstallation, check your cloud provider for any resources not removed properly, especially with User Provisioned Infrastructure (UPI) clusters. There might be resources that the installer did not create or that the installer is unable to access. For example, some Google Cloud resources require IAM permissions in shared VPC host projects, or there might be unused health checks that must be deleted . Prerequisites You have a copy of the installation program that you used to deploy the cluster. You have the files that the installation program generated when you created your cluster. Procedure On the computer that you used to install the cluster, go to the directory that contains the installation program, and run the following command: USD ./openshift-install destroy cluster \ --dir <installation_directory> --log-level info 1 2 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. 2 To view different details, specify warn , debug , or error instead of info . Note You must specify the directory that contains the cluster definition files for your cluster. The installation program requires the metadata.json file in this directory to delete the cluster. Optional: Delete the <installation_directory> directory and the OpenShift Container Platform installation program. 8.13.2. Deleting GCP resources with the Cloud Credential Operator utility To clean up resources after uninstalling an OpenShift Container Platform cluster with the Cloud Credential Operator (CCO) in manual mode with GCP Workload Identity, you can use the CCO utility ( ccoctl ) to remove the GCP resources that ccoctl created during installation. Prerequisites Extract and prepare the ccoctl binary. Install an OpenShift Container Platform cluster with the CCO in manual mode with GCP Workload Identity. Procedure Obtain the OpenShift Container Platform release image by running the following command: USD RELEASE_IMAGE=USD(./openshift-install version | awk '/release image/ {print USD3}') Extract the list of CredentialsRequest custom resources (CRs) from the OpenShift Container Platform release image by running the following command: USD oc adm release extract --credentials-requests \ --cloud=gcp \ --to=<path_to_directory_with_list_of_credentials_requests>/credrequests \ 1 USDRELEASE_IMAGE 1 credrequests is the directory where the list of CredentialsRequest objects is stored. This command creates the directory if it does not exist. Delete the GCP resources that ccoctl created: USD ccoctl gcp delete \ --name=<name> \ 1 --project=<gcp_project_id> \ 2 --credentials-requests-dir=<path_to_directory_with_list_of_credentials_requests>/credrequests 1 <name> matches the name that was originally used to create and tag the cloud resources. 2 <gcp_project_id> is the GCP project ID in which to delete cloud resources. Verification To verify that the resources are deleted, query GCP. For more information, refer to GCP documentation. | [
"openshift-install create install-config --dir <installation_directory>",
"apiVersion: v1 baseDomain: cluster1.example.com credentialsMode: Manual 1 compute: - architecture: amd64 hyperthreading: Enabled",
"openshift-install create manifests --dir <installation_directory>",
"openshift-install version",
"release image quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64",
"oc adm release extract quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64 --credentials-requests --cloud=gcp",
"apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component-credentials-request> namespace: openshift-cloud-credential-operator spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 kind: GCPProviderSpec predefinedRoles: - roles/storage.admin - roles/iam.serviceAccountUser skipServiceCheck: true",
"apiVersion: cloudcredential.openshift.io/v1 kind: CredentialsRequest metadata: name: <component-credentials-request> namespace: openshift-cloud-credential-operator spec: providerSpec: apiVersion: cloudcredential.openshift.io/v1 secretRef: name: <component-secret> namespace: <component-namespace>",
"apiVersion: v1 kind: Secret metadata: name: <component-secret> namespace: <component-namespace> data: service_account.json: <base64_encoded_gcp_service_account_file>",
"grep \"release.openshift.io/feature-gate\" *",
"0000_30_capi-operator_00_credentials-request.yaml: release.openshift.io/feature-gate: TechPreviewNoUpgrade",
"openshift-install create cluster --dir <installation_directory>",
"ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1",
"cat <path>/<file_name>.pub",
"cat ~/.ssh/id_ed25519.pub",
"eval \"USD(ssh-agent -s)\"",
"Agent pid 31874",
"ssh-add <path>/<file_name> 1",
"Identity added: /home/<you>/<path>/<file_name> (<computer_name>)",
"export GOOGLE_APPLICATION_CREDENTIALS=\"<your_service_account_file>\"",
"gcloud auth list",
"tar -xvf openshift-install-linux.tar.gz",
"./openshift-install create cluster --dir <installation_directory> \\ 1 --log-level=info 2",
"INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: \"kubeadmin\", and password: \"password\" INFO Time elapsed: 36m22s",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1",
"cat <path>/<file_name>.pub",
"cat ~/.ssh/id_ed25519.pub",
"eval \"USD(ssh-agent -s)\"",
"Agent pid 31874",
"ssh-add <path>/<file_name> 1",
"Identity added: /home/<you>/<path>/<file_name> (<computer_name>)",
"export GOOGLE_APPLICATION_CREDENTIALS=\"<your_service_account_file>\"",
"gcloud auth list",
"tar -xvf openshift-install-linux.tar.gz",
"./openshift-install create install-config --dir <installation_directory> 1",
"{ \"auths\":{ \"cloud.openshift.com\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" }, \"quay.io\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" } } }",
"networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23",
"networking: serviceNetwork: - 172.30.0.0/16",
"networking: machineNetwork: - cidr: 10.0.0.0/16",
"compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3",
"apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name pullSecret: '{\"auths\": ...}' 16 fips: false 17 sshKey: ssh-ed25519 AAAA... 18",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"apiVersion: v1 baseDomain: example.com controlPlane: compute: platform: gcp: osImage: project: redhat-marketplace-public name: redhat-coreos-ocp-48-x86-64-202210040145",
"./openshift-install create cluster --dir <installation_directory> \\ 1 --log-level=info 2",
"INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: \"kubeadmin\", and password: \"password\" INFO Time elapsed: 36m22s",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1",
"cat <path>/<file_name>.pub",
"cat ~/.ssh/id_ed25519.pub",
"eval \"USD(ssh-agent -s)\"",
"Agent pid 31874",
"ssh-add <path>/<file_name> 1",
"Identity added: /home/<you>/<path>/<file_name> (<computer_name>)",
"export GOOGLE_APPLICATION_CREDENTIALS=\"<your_service_account_file>\"",
"gcloud auth list",
"tar -xvf openshift-install-linux.tar.gz",
"./openshift-install create install-config --dir <installation_directory> 1",
"{ \"auths\":{ \"cloud.openshift.com\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" }, \"quay.io\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" } } }",
"networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23",
"networking: serviceNetwork: - 172.30.0.0/16",
"networking: machineNetwork: - cidr: 10.0.0.0/16",
"compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3",
"apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: 13 clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 14 region: us-central1 15 defaultMachinePlatform: osImage: 16 project: example-project-name name: example-image-name pullSecret: '{\"auths\": ...}' 17 fips: false 18 sshKey: ssh-ed25519 AAAA... 19",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"./openshift-install create manifests --dir <installation_directory> 1",
"apiVersion: operator.openshift.io/v1 kind: Network metadata: name: cluster spec:",
"apiVersion: operator.openshift.io/v1 kind: Network metadata: name: cluster spec: defaultNetwork: openshiftSDNConfig: vxlanPort: 4800",
"apiVersion: operator.openshift.io/v1 kind: Network metadata: name: cluster spec: defaultNetwork: ovnKubernetesConfig: ipsecConfig: {}",
"spec: clusterNetwork: - cidr: 10.128.0.0/19 hostPrefix: 23 - cidr: 10.128.32.0/19 hostPrefix: 23",
"spec: serviceNetwork: - 172.30.0.0/14",
"defaultNetwork: type: OpenShiftSDN openshiftSDNConfig: mode: NetworkPolicy mtu: 1450 vxlanPort: 4789",
"defaultNetwork: type: OVNKubernetes ovnKubernetesConfig: mtu: 1400 genevePort: 6081 ipsecConfig: {}",
"kubeProxyConfig: proxyArguments: iptables-min-sync-period: - 0s",
"./openshift-install create cluster --dir <installation_directory> \\ 1 --log-level=info 2",
"INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: \"kubeadmin\", and password: \"password\" INFO Time elapsed: 36m22s",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1",
"cat <path>/<file_name>.pub",
"cat ~/.ssh/id_ed25519.pub",
"eval \"USD(ssh-agent -s)\"",
"Agent pid 31874",
"ssh-add <path>/<file_name> 1",
"Identity added: /home/<you>/<path>/<file_name> (<computer_name>)",
"export GOOGLE_APPLICATION_CREDENTIALS=\"<your_service_account_file>\"",
"gcloud auth list",
"./openshift-install create install-config --dir <installation_directory> 1",
"pullSecret: '{\"auths\":{\"<mirror_host_name>:5000\": {\"auth\": \"<credentials>\",\"email\": \"[email protected]\"}}}'",
"additionalTrustBundle: | -----BEGIN CERTIFICATE----- ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ -----END CERTIFICATE-----",
"network: <existing_vpc> controlPlaneSubnet: <control_plane_subnet> computeSubnet: <compute_subnet>",
"imageContentSources: - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: quay.io/openshift-release-dev/ocp-release - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: registry.redhat.io/ocp/release",
"{ \"auths\":{ \"cloud.openshift.com\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" }, \"quay.io\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" } } }",
"networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23",
"networking: serviceNetwork: - 172.30.0.0/16",
"networking: machineNetwork: - cidr: 10.0.0.0/16",
"compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3",
"apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name network: existing_vpc 16 controlPlaneSubnet: control_plane_subnet 17 computeSubnet: compute_subnet 18 pullSecret: '{\"auths\":{\"<local_registry>\": {\"auth\": \"<credentials>\",\"email\": \"[email protected]\"}}}' 19 fips: false 20 sshKey: ssh-ed25519 AAAA... 21 additionalTrustBundle: | 22 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- imageContentSources: 23 - mirrors: - <local_registry>/<local_repository_name>/release source: quay.io/openshift-release-dev/ocp-release - mirrors: - <local_registry>/<local_repository_name>/release source: quay.io/openshift-release-dev/ocp-v4.0-art-dev",
"./openshift-install create manifests --dir <installation_directory> 1",
"touch <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml 1",
"ls <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml",
"cluster-ingress-default-ingresscontroller.yaml",
"apiVersion: operator.openshift.io/v1 kind: IngressController metadata: name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: providerParameters: gcp: clientAccess: Global 1 type: GCP scope: Internal 2 type: LoadBalancerService",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"./openshift-install create cluster --dir <installation_directory> \\ 1 --log-level=info 2",
"INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: \"kubeadmin\", and password: \"password\" INFO Time elapsed: 36m22s",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"oc patch OperatorHub cluster --type json -p '[{\"op\": \"add\", \"path\": \"/spec/disableAllDefaultSources\", \"value\": true}]'",
"ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1",
"cat <path>/<file_name>.pub",
"cat ~/.ssh/id_ed25519.pub",
"eval \"USD(ssh-agent -s)\"",
"Agent pid 31874",
"ssh-add <path>/<file_name> 1",
"Identity added: /home/<you>/<path>/<file_name> (<computer_name>)",
"export GOOGLE_APPLICATION_CREDENTIALS=\"<your_service_account_file>\"",
"gcloud auth list",
"tar -xvf openshift-install-linux.tar.gz",
"./openshift-install create install-config --dir <installation_directory> 1",
"{ \"auths\":{ \"cloud.openshift.com\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" }, \"quay.io\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" } } }",
"networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23",
"networking: serviceNetwork: - 172.30.0.0/16",
"networking: machineNetwork: - cidr: 10.0.0.0/16",
"compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3",
"apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name network: existing_vpc 16 controlPlaneSubnet: control_plane_subnet 17 computeSubnet: compute_subnet 18 pullSecret: '{\"auths\": ...}' 19 fips: false 20 sshKey: ssh-ed25519 AAAA... 21",
"./openshift-install create manifests --dir <installation_directory> 1",
"touch <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml 1",
"ls <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml",
"cluster-ingress-default-ingresscontroller.yaml",
"apiVersion: operator.openshift.io/v1 kind: IngressController metadata: name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: providerParameters: gcp: clientAccess: Global 1 type: GCP scope: Internal 2 type: LoadBalancerService",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"./openshift-install create cluster --dir <installation_directory> \\ 1 --log-level=info 2",
"INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: \"kubeadmin\", and password: \"password\" INFO Time elapsed: 36m22s",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"ssh-keygen -t ed25519 -N '' -f <path>/<file_name> 1",
"cat <path>/<file_name>.pub",
"cat ~/.ssh/id_ed25519.pub",
"eval \"USD(ssh-agent -s)\"",
"Agent pid 31874",
"ssh-add <path>/<file_name> 1",
"Identity added: /home/<you>/<path>/<file_name> (<computer_name>)",
"export GOOGLE_APPLICATION_CREDENTIALS=\"<your_service_account_file>\"",
"gcloud auth list",
"tar -xvf openshift-install-linux.tar.gz",
"mkdir <installation_directory>",
"{ \"auths\":{ \"cloud.openshift.com\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" }, \"quay.io\":{ \"auth\":\"b3Blb=\", \"email\":\"[email protected]\" } } }",
"networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23",
"networking: serviceNetwork: - 172.30.0.0/16",
"networking: machineNetwork: - cidr: 10.0.0.0/16",
"compute: - architecture: amd64 hyperthreading: Enabled name: worker platform: gcp: type: custom-6-20480 replicas: 2 controlPlane: architecture: amd64 hyperthreading: Enabled name: master platform: gcp: type: custom-6-20480 replicas: 3",
"apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 3 hyperthreading: Enabled 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-ssd diskSizeGB: 1024 encryptionKey: 5 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 6 project: example-project-name name: example-image-name replicas: 3 compute: 7 8 - hyperthreading: Enabled 9 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c osDisk: diskType: pd-standard diskSizeGB: 128 encryptionKey: 10 kmsKey: name: worker-key keyRing: test-machine-keys location: global projectID: project-id osImage: 11 project: example-project-name name: example-image-name replicas: 3 metadata: name: test-cluster 12 networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 13 region: us-central1 14 defaultMachinePlatform: osImage: 15 project: example-project-name name: example-image-name network: existing_vpc 16 controlPlaneSubnet: control_plane_subnet 17 computeSubnet: compute_subnet 18 pullSecret: '{\"auths\": ...}' 19 fips: false 20 sshKey: ssh-ed25519 AAAA... 21 publish: Internal 22",
"./openshift-install create manifests --dir <installation_directory> 1",
"touch <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml 1",
"ls <installation_directory>/manifests/cluster-ingress-default-ingresscontroller.yaml",
"cluster-ingress-default-ingresscontroller.yaml",
"apiVersion: operator.openshift.io/v1 kind: IngressController metadata: name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: providerParameters: gcp: clientAccess: Global 1 type: GCP scope: Internal 2 type: LoadBalancerService",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"./openshift-install create cluster --dir <installation_directory> \\ 1 --log-level=info 2",
"INFO Install complete! INFO To access the cluster as the system:admin user when using 'oc', run 'export KUBECONFIG=/home/myuser/install_dir/auth/kubeconfig' INFO Access the OpenShift web-console here: https://console-openshift-console.apps.mycluster.example.com INFO Login to the console with user: \"kubeadmin\", and password: \"password\" INFO Time elapsed: 36m22s",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"mkdir USDHOME/clusterconfig",
"openshift-install create manifests --dir USDHOME/clusterconfig",
"? SSH Public Key INFO Credentials loaded from the \"myprofile\" profile in file \"/home/myuser/.aws/credentials\" INFO Consuming Install Config from target directory INFO Manifests created in: USDHOME/clusterconfig/manifests and USDHOME/clusterconfig/openshift",
"ls USDHOME/clusterconfig/openshift/",
"99_kubeadmin-password-secret.yaml 99_openshift-cluster-api_master-machines-0.yaml 99_openshift-cluster-api_master-machines-1.yaml 99_openshift-cluster-api_master-machines-2.yaml",
"variant: openshift version: 4.11.0 metadata: labels: machineconfiguration.openshift.io/role: worker name: 98-var-partition storage: disks: - device: /dev/<device_name> 1 partitions: - label: var start_mib: <partition_start_offset> 2 size_mib: <partition_size> 3 filesystems: - device: /dev/disk/by-partlabel/var path: /var format: xfs mount_options: [defaults, prjquota] 4 with_mount_unit: true",
"butane USDHOME/clusterconfig/98-var-partition.bu -o USDHOME/clusterconfig/openshift/98-var-partition.yaml",
"openshift-install create ignition-configs --dir USDHOME/clusterconfig ls USDHOME/clusterconfig/ auth bootstrap.ign master.ign metadata.json worker.ign",
"./openshift-install create install-config --dir <installation_directory> 1",
"compute: - hyperthreading: Enabled name: worker platform: {} replicas: 0 1",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"./openshift-install create manifests --dir <installation_directory> 1",
"rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml",
"rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml",
"apiVersion: config.openshift.io/v1 kind: DNS metadata: creationTimestamp: null name: cluster spec: baseDomain: example.openshift.com privateZone: 1 id: mycluster-100419-private-zone publicZone: 2 id: example.openshift.com status: {}",
"./openshift-install create ignition-configs --dir <installation_directory> 1",
". ├── auth │ ├── kubeadmin-password │ └── kubeconfig ├── bootstrap.ign ├── master.ign ├── metadata.json └── worker.ign",
"jq -r .infraID <installation_directory>/metadata.json 1",
"openshift-vw9j6 1",
"export BASE_DOMAIN='<base_domain>' export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' export NETWORK_CIDR='10.0.0.0/16' export MASTER_SUBNET_CIDR='10.0.0.0/17' export WORKER_SUBNET_CIDR='10.0.128.0/17' export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json` export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json` export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json` export REGION=`jq -r .gcp.region <installation_directory>/metadata.json`",
"cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{WORKER_SUBNET_CIDR}' 4 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-vpc --config 01_vpc.yaml",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-network', 'type': 'compute.v1.network', 'properties': { 'region': context.properties['region'], 'autoCreateSubnetworks': False } }, { 'name': context.properties['infra_id'] + '-master-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['master_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-worker-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources}",
"export CLUSTER_NETWORK=(`gcloud compute networks describe USD{INFRA_ID}-network --format json | jq -r .selfLink`)",
"export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-master-subnet --region=USD{REGION} --format json | jq -r .selfLink`)",
"export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d \"/\" -f9`)",
"export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d \"/\" -f9`)",
"export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d \"/\" -f9`)",
"cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml",
"export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`)",
"export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`)",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-cluster-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-http-health-check', 'type': 'compute.v1.httpHealthCheck', 'properties': { 'port': 6080, 'requestPath': '/readyz' } }, { 'name': context.properties['infra_id'] + '-api-target-pool', 'type': 'compute.v1.targetPool', 'properties': { 'region': context.properties['region'], 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'], 'instances': [] } }, { 'name': context.properties['infra_id'] + '-api-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'region': context.properties['region'], 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources}",
"def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': \"HTTPS\" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources}",
"cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-private-zone', 'type': 'dns.v1.managedZone', 'properties': { 'description': '', 'dnsName': context.properties['cluster_domain'] + '.', 'visibility': 'private', 'privateVisibilityConfig': { 'networks': [{ 'networkUrl': context.properties['cluster_network'] }] } } }] return {'resources': resources}",
"cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-health-checks', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6080', '6443', '22624'] }], 'sourceRanges': ['35.191.0.0/16', '130.211.0.0/22', '209.85.152.0/22', '209.85.204.0/22'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-etcd', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['2379-2380'] }], 'sourceTags': [context.properties['infra_id'] + '-master'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-control-plane', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['10257'] },{ 'IPProtocol': 'tcp', 'ports': ['10259'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-internal-network', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'icmp' },{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['network_cidr']], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }, { 'name': context.properties['infra_id'] + '-internal-cluster', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'udp', 'ports': ['4789', '6081'] },{ 'IPProtocol': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ 'IPProtocol': 'tcp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'udp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'tcp', 'ports': ['10250'] },{ 'IPProtocol': 'tcp', 'ports': ['30000-32767'] },{ 'IPProtocol': 'udp', 'ports': ['30000-32767'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }] return {'resources': resources}",
"cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml",
"export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`)",
"gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.instanceAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.securityAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/iam.serviceAccountUser\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/storage.admin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/compute.viewer\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/storage.admin\"",
"gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-m', 'displayName': context.properties['infra_id'] + '-master-node' } }, { 'name': context.properties['infra_id'] + '-worker-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-w', 'displayName': context.properties['infra_id'] + '-worker-node' } }] return {'resources': resources}",
"gsutil mb gs://<bucket_name>",
"gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name>",
"export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz",
"gcloud compute images create \"USD{INFRA_ID}-rhcos-image\" --source-uri=\"USD{IMAGE_SOURCE}\"",
"export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`)",
"gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition",
"gsutil cp <installation_directory>/bootstrap.ign gs://USD{INFRA_ID}-bootstrap-ignition/",
"export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep \"^gs:\" | awk '{print USD5}'`",
"cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{BOOTSTRAP_IGN}' 9 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-bootstrap --config 04_bootstrap.yaml",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap",
"gcloud compute backend-services add-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { 'name': context.properties['infra_id'] + '-bootstrap', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': '{\"ignition\":{\"config\":{\"replace\":{\"source\":\"' + context.properties['bootstrap_ign'] + '\"}},\"version\":\"3.2.0\"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(ref.' + context.properties['infra_id'] + '-bootstrap-public-ip.address)' }] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-bootstrap' ] }, 'zone': context.properties['zone'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources}",
"export MASTER_IGNITION=`cat <installation_directory>/master.ign`",
"cat <<EOF >05_control_plane.yaml imports: - path: 05_control_plane.py resources: - name: cluster-control-plane type: 05_control_plane.py properties: infra_id: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{MASTER_IGNITION}' 7 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_0}\" --instances=USD{INFRA_ID}-master-0",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_1}\" --instances=USD{INFRA_ID}-master-1",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_2}\" --instances=USD{INFRA_ID}-master-2",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-0', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][0] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][0] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][0] } }, { 'name': context.properties['infra_id'] + '-master-1', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][1] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][1] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][1] } }, { 'name': context.properties['infra_id'] + '-master-2', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][2] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][2] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][2] } }] return {'resources': resources}",
"./openshift-install wait-for bootstrap-complete --dir <installation_directory> \\ 1 --log-level info 2",
"gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}",
"gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign",
"gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition",
"gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap",
"export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`)",
"export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export WORKER_IGNITION=`cat <installation_directory>/worker.ign`",
"cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-' + context.env['name'], 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['compute_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-worker', ] }, 'zone': context.properties['zone'] } }] return {'resources': resources}",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"oc get nodes",
"NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.24.0 master-1 Ready master 63m v1.24.0 master-2 Ready master 64m v1.24.0",
"oc get csr",
"NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending",
"oc adm certificate approve <csr_name> 1",
"oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{\"\\n\"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve",
"oc get csr",
"NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending",
"oc adm certificate approve <csr_name> 1",
"oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{\"\\n\"}}{{end}}{{end}}' | xargs oc adm certificate approve",
"oc get nodes",
"NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.24.0 master-1 Ready master 73m v1.24.0 master-2 Ready master 74m v1.24.0 worker-0 Ready worker 11m v1.24.0 worker-1 Ready worker 11m v1.24.0",
"oc -n openshift-ingress get service router-default",
"NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE router-default LoadBalancer 172.30.18.154 35.233.157.184 80:32288/TCP,443:31215/TCP 98",
"export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'`",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{ROUTER_IP} --name \\*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction add USD{ROUTER_IP} --name \\*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME}",
"oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{\"\\n\"}{end}{end}' routes",
"oauth-openshift.apps.your.cluster.domain.example.com console-openshift-console.apps.your.cluster.domain.example.com downloads-openshift-console.apps.your.cluster.domain.example.com alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com",
"./openshift-install --dir <installation_directory> wait-for install-complete 1",
"INFO Waiting up to 30m0s for the cluster to initialize",
"oc get clusterversion",
"NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete",
"oc get clusteroperators",
"NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m",
"oc get pods --all-namespaces",
"NAMESPACE NAME READY STATUS RESTARTS AGE kube-system etcd-member-ip-10-0-3-111.us-east-2.compute.internal 1/1 Running 0 35m kube-system etcd-member-ip-10-0-3-239.us-east-2.compute.internal 1/1 Running 0 37m kube-system etcd-member-ip-10-0-3-24.us-east-2.compute.internal 1/1 Running 0 35m openshift-apiserver-operator openshift-apiserver-operator-6d6674f4f4-h7t2t 1/1 Running 1 37m openshift-apiserver apiserver-fm48r 1/1 Running 0 30m openshift-apiserver apiserver-fxkvv 1/1 Running 0 29m openshift-apiserver apiserver-q85nm 1/1 Running 0 29m openshift-service-ca-operator openshift-service-ca-operator-66ff6dc6cd-9r257 1/1 Running 0 37m openshift-service-ca apiservice-cabundle-injector-695b6bcbc-cl5hm 1/1 Running 0 35m openshift-service-ca configmap-cabundle-injector-8498544d7-25qn6 1/1 Running 0 35m openshift-service-ca service-serving-cert-signer-6445fc9c6-wqdqn 1/1 Running 0 35m openshift-service-catalog-apiserver-operator openshift-service-catalog-apiserver-operator-549f44668b-b5q2w 1/1 Running 0 32m openshift-service-catalog-controller-manager-operator openshift-service-catalog-controller-manager-operator-b78cr2lnm 1/1 Running 0 31m",
"export MASTER_SUBNET_CIDR='10.0.0.0/17'",
"export WORKER_SUBNET_CIDR='10.0.128.0/17'",
"export REGION='<region>'",
"export HOST_PROJECT=<host_project>",
"export HOST_PROJECT_ACCOUNT=<host_service_account_email>",
"cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: '<prefix>' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{WORKER_SUBNET_CIDR}' 4 EOF",
"gcloud deployment-manager deployments create <vpc_deployment_name> --config 01_vpc.yaml --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} 1",
"export HOST_PROJECT_NETWORK=<vpc_network>",
"export HOST_PROJECT_CONTROL_SUBNET=<control_plane_subnet>",
"export HOST_PROJECT_COMPUTE_SUBNET=<compute_subnet>",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-network', 'type': 'compute.v1.network', 'properties': { 'region': context.properties['region'], 'autoCreateSubnetworks': False } }, { 'name': context.properties['infra_id'] + '-master-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['master_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-worker-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources}",
"mkdir <installation_directory>",
"apiVersion: v1 baseDomain: example.com 1 controlPlane: 2 hyperthreading: Enabled 3 4 name: master platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c replicas: 3 compute: 5 - hyperthreading: Enabled 6 name: worker platform: gcp: type: n2-standard-4 zones: - us-central1-a - us-central1-c replicas: 0 metadata: name: test-cluster networking: clusterNetwork: - cidr: 10.128.0.0/14 hostPrefix: 23 machineNetwork: - cidr: 10.0.0.0/16 networkType: OpenShiftSDN serviceNetwork: - 172.30.0.0/16 platform: gcp: projectID: openshift-production 7 region: us-central1 8 pullSecret: '{\"auths\": ...}' fips: false 9 sshKey: ssh-ed25519 AAAA... 10 publish: Internal 11",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"./openshift-install create manifests --dir <installation_directory> 1",
"rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml",
"rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml",
"apiVersion: config.openshift.io/v1 kind: DNS metadata: creationTimestamp: null name: cluster spec: baseDomain: example.openshift.com privateZone: 1 id: mycluster-100419-private-zone status: {}",
"config: |+ [global] project-id = example-project regional = true multizone = true node-tags = opensh-ptzzx-master node-tags = opensh-ptzzx-worker node-instance-prefix = opensh-ptzzx external-instance-groups-prefix = opensh-ptzzx network-project-id = example-shared-vpc network-name = example-network subnetwork-name = example-worker-subnet",
"apiVersion: operator.openshift.io/v1 kind: IngressController metadata: creationTimestamp: null name: default namespace: openshift-ingress-operator spec: endpointPublishingStrategy: loadBalancer: scope: External type: LoadBalancerService status: availableReplicas: 0 domain: '' selector: ''",
"./openshift-install create ignition-configs --dir <installation_directory> 1",
". ├── auth │ ├── kubeadmin-password │ └── kubeconfig ├── bootstrap.ign ├── master.ign ├── metadata.json └── worker.ign",
"jq -r .infraID <installation_directory>/metadata.json 1",
"openshift-vw9j6 1",
"export BASE_DOMAIN='<base_domain>' 1 export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' 2 export NETWORK_CIDR='10.0.0.0/16' export KUBECONFIG=<installation_directory>/auth/kubeconfig 3 export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json` export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json` export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json`",
"export CLUSTER_NETWORK=(`gcloud compute networks describe USD{HOST_PROJECT_NETWORK} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} --format json | jq -r .selfLink`)",
"export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{HOST_PROJECT_CONTROL_SUBNET} --region=USD{REGION} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} --format json | jq -r .selfLink`)",
"export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d \"/\" -f9`)",
"export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d \"/\" -f9`)",
"export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d \"/\" -f9`)",
"cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml",
"export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`)",
"export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`)",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-cluster-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-http-health-check', 'type': 'compute.v1.httpHealthCheck', 'properties': { 'port': 6080, 'requestPath': '/readyz' } }, { 'name': context.properties['infra_id'] + '-api-target-pool', 'type': 'compute.v1.targetPool', 'properties': { 'region': context.properties['region'], 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'], 'instances': [] } }, { 'name': context.properties['infra_id'] + '-api-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'region': context.properties['region'], 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources}",
"def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': \"HTTPS\" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources}",
"cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT}",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT}",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-private-zone', 'type': 'dns.v1.managedZone', 'properties': { 'description': '', 'dnsName': context.properties['cluster_domain'] + '.', 'visibility': 'private', 'privateVisibilityConfig': { 'networks': [{ 'networkUrl': context.properties['cluster_network'] }] } } }] return {'resources': resources}",
"cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-health-checks', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6080', '6443', '22624'] }], 'sourceRanges': ['35.191.0.0/16', '130.211.0.0/22', '209.85.152.0/22', '209.85.204.0/22'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-etcd', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['2379-2380'] }], 'sourceTags': [context.properties['infra_id'] + '-master'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-control-plane', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['10257'] },{ 'IPProtocol': 'tcp', 'ports': ['10259'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-internal-network', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'icmp' },{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['network_cidr']], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }, { 'name': context.properties['infra_id'] + '-internal-cluster', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'udp', 'ports': ['4789', '6081'] },{ 'IPProtocol': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ 'IPProtocol': 'tcp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'udp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'tcp', 'ports': ['10250'] },{ 'IPProtocol': 'tcp', 'ports': ['30000-32767'] },{ 'IPProtocol': 'udp', 'ports': ['30000-32767'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }] return {'resources': resources}",
"cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml",
"export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} projects add-iam-policy-binding USD{HOST_PROJECT} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkViewer\"",
"gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding \"USD{HOST_PROJECT_CONTROL_SUBNET}\" --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkUser\" --region USD{REGION}",
"gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding \"USD{HOST_PROJECT_CONTROL_SUBNET}\" --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkUser\" --region USD{REGION}",
"gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding \"USD{HOST_PROJECT_COMPUTE_SUBNET}\" --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkUser\" --region USD{REGION}",
"gcloud --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT} compute networks subnets add-iam-policy-binding \"USD{HOST_PROJECT_COMPUTE_SUBNET}\" --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkUser\" --region USD{REGION}",
"gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.instanceAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.securityAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/iam.serviceAccountUser\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/storage.admin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/compute.viewer\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/storage.admin\"",
"gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-m', 'displayName': context.properties['infra_id'] + '-master-node' } }, { 'name': context.properties['infra_id'] + '-worker-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-w', 'displayName': context.properties['infra_id'] + '-worker-node' } }] return {'resources': resources}",
"gsutil mb gs://<bucket_name>",
"gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name>",
"export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz",
"gcloud compute images create \"USD{INFRA_ID}-rhcos-image\" --source-uri=\"USD{IMAGE_SOURCE}\"",
"export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`)",
"gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition",
"gsutil cp <installation_directory>/bootstrap.ign gs://USD{INFRA_ID}-bootstrap-ignition/",
"export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep \"^gs:\" | awk '{print USD5}'`",
"cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{BOOTSTRAP_IGN}' 9 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-bootstrap --config 04_bootstrap.yaml",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap",
"gcloud compute backend-services add-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { 'name': context.properties['infra_id'] + '-bootstrap', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': '{\"ignition\":{\"config\":{\"replace\":{\"source\":\"' + context.properties['bootstrap_ign'] + '\"}},\"version\":\"3.2.0\"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(ref.' + context.properties['infra_id'] + '-bootstrap-public-ip.address)' }] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-bootstrap' ] }, 'zone': context.properties['zone'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources}",
"export MASTER_IGNITION=`cat <installation_directory>/master.ign`",
"cat <<EOF >05_control_plane.yaml imports: - path: 05_control_plane.py resources: - name: cluster-control-plane type: 05_control_plane.py properties: infra_id: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{MASTER_IGNITION}' 7 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_0}\" --instances=USD{INFRA_ID}-master-0",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_1}\" --instances=USD{INFRA_ID}-master-1",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_2}\" --instances=USD{INFRA_ID}-master-2",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-0', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][0] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][0] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][0] } }, { 'name': context.properties['infra_id'] + '-master-1', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][1] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][1] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][1] } }, { 'name': context.properties['infra_id'] + '-master-2', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][2] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][2] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][2] } }] return {'resources': resources}",
"./openshift-install wait-for bootstrap-complete --dir <installation_directory> \\ 1 --log-level info 2",
"gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}",
"gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign",
"gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition",
"gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap",
"export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{HOST_PROJECT_COMPUTE_SUBNET} --region=USD{REGION} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} --format json | jq -r .selfLink`)",
"export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export WORKER_IGNITION=`cat <installation_directory>/worker.ign`",
"cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-' + context.env['name'], 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['compute_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-worker', ] }, 'zone': context.properties['zone'] } }] return {'resources': resources}",
"tar xvf <file>",
"echo USDPATH",
"oc <command>",
"C:\\> path",
"C:\\> oc <command>",
"echo USDPATH",
"oc <command>",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"oc get nodes",
"NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.24.0 master-1 Ready master 63m v1.24.0 master-2 Ready master 64m v1.24.0",
"oc get csr",
"NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending",
"oc adm certificate approve <csr_name> 1",
"oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{\"\\n\"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve",
"oc get csr",
"NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending",
"oc adm certificate approve <csr_name> 1",
"oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{\"\\n\"}}{{end}}{{end}}' | xargs oc adm certificate approve",
"oc get nodes",
"NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.24.0 master-1 Ready master 73m v1.24.0 master-2 Ready master 74m v1.24.0 worker-0 Ready worker 11m v1.24.0 worker-1 Ready worker 11m v1.24.0",
"oc -n openshift-ingress get service router-default",
"NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE router-default LoadBalancer 172.30.18.154 35.233.157.184 80:32288/TCP,443:31215/TCP 98",
"export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'`",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} gcloud dns record-sets transaction add USD{ROUTER_IP} --name \\*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT}",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} gcloud dns record-sets transaction add USD{ROUTER_IP} --name \\*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT} gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} --project USD{HOST_PROJECT} --account USD{HOST_PROJECT_ACCOUNT}",
"oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{\"\\n\"}{end}{end}' routes",
"oauth-openshift.apps.your.cluster.domain.example.com console-openshift-console.apps.your.cluster.domain.example.com downloads-openshift-console.apps.your.cluster.domain.example.com alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com",
"oc get events -n openshift-ingress --field-selector=\"reason=LoadBalancerManualChange\"",
"Firewall change required by security admin: `gcloud compute firewall-rules create k8s-fw-a26e631036a3f46cba28f8df67266d55 --network example-network --description \"{\\\"kubernetes.io/service-name\\\":\\\"openshift-ingress/router-default\\\", \\\"kubernetes.io/service-ip\\\":\\\"35.237.236.234\\\"}\\\" --allow tcp:443,tcp:80 --source-ranges 0.0.0.0/0 --target-tags exampl-fqzq7-master,exampl-fqzq7-worker --project example-project`",
"gcloud compute firewall-rules create --allow='tcp:30000-32767,udp:30000-32767' --network=\"USD{CLUSTER_NETWORK}\" --source-ranges='130.211.0.0/22,35.191.0.0/16,209.85.152.0/22,209.85.204.0/22' --target-tags=\"USD{INFRA_ID}-master,USD{INFRA_ID}-worker\" USD{INFRA_ID}-ingress-hc --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT}",
"gcloud compute firewall-rules create --allow='tcp:80,tcp:443' --network=\"USD{CLUSTER_NETWORK}\" --source-ranges=\"0.0.0.0/0\" --target-tags=\"USD{INFRA_ID}-master,USD{INFRA_ID}-worker\" USD{INFRA_ID}-ingress --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT}",
"gcloud compute firewall-rules create --allow='tcp:80,tcp:443' --network=\"USD{CLUSTER_NETWORK}\" --source-ranges=USD{NETWORK_CIDR} --target-tags=\"USD{INFRA_ID}-master,USD{INFRA_ID}-worker\" USD{INFRA_ID}-ingress --account=USD{HOST_PROJECT_ACCOUNT} --project=USD{HOST_PROJECT}",
"./openshift-install --dir <installation_directory> wait-for install-complete 1",
"INFO Waiting up to 30m0s for the cluster to initialize",
"oc get clusterversion",
"NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete",
"oc get clusteroperators",
"NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m",
"oc get pods --all-namespaces",
"NAMESPACE NAME READY STATUS RESTARTS AGE kube-system etcd-member-ip-10-0-3-111.us-east-2.compute.internal 1/1 Running 0 35m kube-system etcd-member-ip-10-0-3-239.us-east-2.compute.internal 1/1 Running 0 37m kube-system etcd-member-ip-10-0-3-24.us-east-2.compute.internal 1/1 Running 0 35m openshift-apiserver-operator openshift-apiserver-operator-6d6674f4f4-h7t2t 1/1 Running 1 37m openshift-apiserver apiserver-fm48r 1/1 Running 0 30m openshift-apiserver apiserver-fxkvv 1/1 Running 0 29m openshift-apiserver apiserver-q85nm 1/1 Running 0 29m openshift-service-ca-operator openshift-service-ca-operator-66ff6dc6cd-9r257 1/1 Running 0 37m openshift-service-ca apiservice-cabundle-injector-695b6bcbc-cl5hm 1/1 Running 0 35m openshift-service-ca configmap-cabundle-injector-8498544d7-25qn6 1/1 Running 0 35m openshift-service-ca service-serving-cert-signer-6445fc9c6-wqdqn 1/1 Running 0 35m openshift-service-catalog-apiserver-operator openshift-service-catalog-apiserver-operator-549f44668b-b5q2w 1/1 Running 0 32m openshift-service-catalog-controller-manager-operator openshift-service-catalog-controller-manager-operator-b78cr2lnm 1/1 Running 0 31m",
"mkdir USDHOME/clusterconfig",
"openshift-install create manifests --dir USDHOME/clusterconfig",
"? SSH Public Key INFO Credentials loaded from the \"myprofile\" profile in file \"/home/myuser/.aws/credentials\" INFO Consuming Install Config from target directory INFO Manifests created in: USDHOME/clusterconfig/manifests and USDHOME/clusterconfig/openshift",
"ls USDHOME/clusterconfig/openshift/",
"99_kubeadmin-password-secret.yaml 99_openshift-cluster-api_master-machines-0.yaml 99_openshift-cluster-api_master-machines-1.yaml 99_openshift-cluster-api_master-machines-2.yaml",
"variant: openshift version: 4.11.0 metadata: labels: machineconfiguration.openshift.io/role: worker name: 98-var-partition storage: disks: - device: /dev/<device_name> 1 partitions: - label: var start_mib: <partition_start_offset> 2 size_mib: <partition_size> 3 filesystems: - device: /dev/disk/by-partlabel/var path: /var format: xfs mount_options: [defaults, prjquota] 4 with_mount_unit: true",
"butane USDHOME/clusterconfig/98-var-partition.bu -o USDHOME/clusterconfig/openshift/98-var-partition.yaml",
"openshift-install create ignition-configs --dir USDHOME/clusterconfig ls USDHOME/clusterconfig/ auth bootstrap.ign master.ign metadata.json worker.ign",
"./openshift-install create install-config --dir <installation_directory> 1",
"pullSecret: '{\"auths\":{\"<mirror_host_name>:5000\": {\"auth\": \"<credentials>\",\"email\": \"[email protected]\"}}}'",
"additionalTrustBundle: | -----BEGIN CERTIFICATE----- ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ -----END CERTIFICATE-----",
"network: <existing_vpc> controlPlaneSubnet: <control_plane_subnet> computeSubnet: <compute_subnet>",
"imageContentSources: - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: quay.io/openshift-release-dev/ocp-release - mirrors: - <mirror_host_name>:5000/<repo_name>/release source: registry.redhat.io/ocp/release",
"apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE-----",
"./openshift-install wait-for install-complete --log-level debug",
"./openshift-install create manifests --dir <installation_directory> 1",
"rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml",
"rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml",
"apiVersion: config.openshift.io/v1 kind: DNS metadata: creationTimestamp: null name: cluster spec: baseDomain: example.openshift.com privateZone: 1 id: mycluster-100419-private-zone publicZone: 2 id: example.openshift.com status: {}",
"./openshift-install create ignition-configs --dir <installation_directory> 1",
". ├── auth │ ├── kubeadmin-password │ └── kubeconfig ├── bootstrap.ign ├── master.ign ├── metadata.json └── worker.ign",
"jq -r .infraID <installation_directory>/metadata.json 1",
"openshift-vw9j6 1",
"export BASE_DOMAIN='<base_domain>' export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' export NETWORK_CIDR='10.0.0.0/16' export MASTER_SUBNET_CIDR='10.0.0.0/17' export WORKER_SUBNET_CIDR='10.0.128.0/17' export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json` export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json` export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json` export REGION=`jq -r .gcp.region <installation_directory>/metadata.json`",
"cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{WORKER_SUBNET_CIDR}' 4 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-vpc --config 01_vpc.yaml",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-network', 'type': 'compute.v1.network', 'properties': { 'region': context.properties['region'], 'autoCreateSubnetworks': False } }, { 'name': context.properties['infra_id'] + '-master-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['master_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-worker-subnet', 'type': 'compute.v1.subnetwork', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources}",
"export CLUSTER_NETWORK=(`gcloud compute networks describe USD{INFRA_ID}-network --format json | jq -r .selfLink`)",
"export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-master-subnet --region=USD{REGION} --format json | jq -r .selfLink`)",
"export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d \"/\" -f9`)",
"export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d \"/\" -f9`)",
"export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d \"/\" -f9`)",
"cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml",
"export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`)",
"export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`)",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-cluster-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-http-health-check', 'type': 'compute.v1.httpHealthCheck', 'properties': { 'port': 6080, 'requestPath': '/readyz' } }, { 'name': context.properties['infra_id'] + '-api-target-pool', 'type': 'compute.v1.targetPool', 'properties': { 'region': context.properties['region'], 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'], 'instances': [] } }, { 'name': context.properties['infra_id'] + '-api-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'region': context.properties['region'], 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources}",
"def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': \"HTTPS\" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources}",
"cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-private-zone', 'type': 'dns.v1.managedZone', 'properties': { 'description': '', 'dnsName': context.properties['cluster_domain'] + '.', 'visibility': 'private', 'privateVisibilityConfig': { 'networks': [{ 'networkUrl': context.properties['cluster_network'] }] } } }] return {'resources': resources}",
"cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-health-checks', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6080', '6443', '22624'] }], 'sourceRanges': ['35.191.0.0/16', '130.211.0.0/22', '209.85.152.0/22', '209.85.204.0/22'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-etcd', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['2379-2380'] }], 'sourceTags': [context.properties['infra_id'] + '-master'], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-control-plane', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['10257'] },{ 'IPProtocol': 'tcp', 'ports': ['10259'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [context.properties['infra_id'] + '-master'] } }, { 'name': context.properties['infra_id'] + '-internal-network', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'icmp' },{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['network_cidr']], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }, { 'name': context.properties['infra_id'] + '-internal-cluster', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'udp', 'ports': ['4789', '6081'] },{ 'IPProtocol': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ 'IPProtocol': 'tcp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'udp', 'ports': ['9000-9999'] },{ 'IPProtocol': 'tcp', 'ports': ['10250'] },{ 'IPProtocol': 'tcp', 'ports': ['30000-32767'] },{ 'IPProtocol': 'udp', 'ports': ['30000-32767'] }], 'sourceTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ], 'targetTags': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-worker' ] } }] return {'resources': resources}",
"cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml",
"export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`)",
"gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.instanceAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.networkAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/compute.securityAdmin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/iam.serviceAccountUser\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{MASTER_SERVICE_ACCOUNT}\" --role \"roles/storage.admin\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/compute.viewer\" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member \"serviceAccount:USD{WORKER_SERVICE_ACCOUNT}\" --role \"roles/storage.admin\"",
"gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-m', 'displayName': context.properties['infra_id'] + '-master-node' } }, { 'name': context.properties['infra_id'] + '-worker-node-sa', 'type': 'iam.v1.serviceAccount', 'properties': { 'accountId': context.properties['infra_id'] + '-w', 'displayName': context.properties['infra_id'] + '-worker-node' } }] return {'resources': resources}",
"gsutil mb gs://<bucket_name>",
"gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name>",
"export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz",
"gcloud compute images create \"USD{INFRA_ID}-rhcos-image\" --source-uri=\"USD{IMAGE_SOURCE}\"",
"export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`)",
"gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition",
"gsutil cp <installation_directory>/bootstrap.ign gs://USD{INFRA_ID}-bootstrap-ignition/",
"export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep \"^gs:\" | awk '{print USD5}'`",
"cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{BOOTSTRAP_IGN}' 9 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-bootstrap --config 04_bootstrap.yaml",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap",
"gcloud compute backend-services add-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { 'name': context.properties['infra_id'] + '-bootstrap', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': '{\"ignition\":{\"config\":{\"replace\":{\"source\":\"' + context.properties['bootstrap_ign'] + '\"}},\"version\":\"3.2.0\"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(ref.' + context.properties['infra_id'] + '-bootstrap-public-ip.address)' }] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', context.properties['infra_id'] + '-bootstrap' ] }, 'zone': context.properties['zone'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources}",
"export MASTER_IGNITION=`cat <installation_directory>/master.ign`",
"cat <<EOF >05_control_plane.yaml imports: - path: 05_control_plane.py resources: - name: cluster-control-plane type: 05_control_plane.py properties: infra_id: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{MASTER_IGNITION}' 7 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1",
"gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_0}\" --instances=USD{INFRA_ID}-master-0",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_1}\" --instances=USD{INFRA_ID}-master-1",
"gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone=\"USD{ZONE_2}\" --instances=USD{INFRA_ID}-master-2",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-0', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][0] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][0] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][0] } }, { 'name': context.properties['infra_id'] + '-master-1', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][1] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][1] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][1] } }, { 'name': context.properties['infra_id'] + '-master-2', 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'diskType': 'zones/' + context.properties['zones'][2] + '/diskTypes/pd-ssd', 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zones'][2] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-master', ] }, 'zone': context.properties['zones'][2] } }] return {'resources': resources}",
"./openshift-install wait-for bootstrap-complete --dir <installation_directory> \\ 1 --log-level info 2",
"gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal-backend-service --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}",
"gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign",
"gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition",
"gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap",
"export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`)",
"export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter \"email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}.\" --format json | jq -r '.[0].email'`)",
"export WORKER_IGNITION=`cat <installation_directory>/worker.ign`",
"cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF",
"gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml",
"def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-' + context.env['name'], 'type': 'compute.v1.instance', 'properties': { 'disks': [{ 'autoDelete': True, 'boot': True, 'initializeParams': { 'diskSizeGb': context.properties['root_volume_size'], 'sourceImage': context.properties['image'] } }], 'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'], 'metadata': { 'items': [{ 'key': 'user-data', 'value': context.properties['ignition'] }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['compute_subnet'] }], 'serviceAccounts': [{ 'email': context.properties['service_account_email'], 'scopes': ['https://www.googleapis.com/auth/cloud-platform'] }], 'tags': { 'items': [ context.properties['infra_id'] + '-worker', ] }, 'zone': context.properties['zone'] } }] return {'resources': resources}",
"export KUBECONFIG=<installation_directory>/auth/kubeconfig 1",
"oc whoami",
"system:admin",
"oc patch OperatorHub cluster --type json -p '[{\"op\": \"add\", \"path\": \"/spec/disableAllDefaultSources\", \"value\": true}]'",
"oc get nodes",
"NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.24.0 master-1 Ready master 63m v1.24.0 master-2 Ready master 64m v1.24.0",
"oc get csr",
"NAME AGE REQUESTOR CONDITION csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending",
"oc adm certificate approve <csr_name> 1",
"oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{\"\\n\"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve",
"oc get csr",
"NAME AGE REQUESTOR CONDITION csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending",
"oc adm certificate approve <csr_name> 1",
"oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{\"\\n\"}}{{end}}{{end}}' | xargs oc adm certificate approve",
"oc get nodes",
"NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.24.0 master-1 Ready master 73m v1.24.0 master-2 Ready master 74m v1.24.0 worker-0 Ready worker 11m v1.24.0 worker-1 Ready worker 11m v1.24.0",
"oc -n openshift-ingress get service router-default",
"NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE router-default LoadBalancer 172.30.18.154 35.233.157.184 80:32288/TCP,443:31215/TCP 98",
"export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'`",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{ROUTER_IP} --name \\*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone",
"if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction add USD{ROUTER_IP} --name \\*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME}",
"oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{\"\\n\"}{end}{end}' routes",
"oauth-openshift.apps.your.cluster.domain.example.com console-openshift-console.apps.your.cluster.domain.example.com downloads-openshift-console.apps.your.cluster.domain.example.com alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com",
"./openshift-install --dir <installation_directory> wait-for install-complete 1",
"INFO Waiting up to 30m0s for the cluster to initialize",
"oc get clusterversion",
"NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete",
"oc get clusteroperators",
"NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m",
"oc get pods --all-namespaces",
"NAMESPACE NAME READY STATUS RESTARTS AGE kube-system etcd-member-ip-10-0-3-111.us-east-2.compute.internal 1/1 Running 0 35m kube-system etcd-member-ip-10-0-3-239.us-east-2.compute.internal 1/1 Running 0 37m kube-system etcd-member-ip-10-0-3-24.us-east-2.compute.internal 1/1 Running 0 35m openshift-apiserver-operator openshift-apiserver-operator-6d6674f4f4-h7t2t 1/1 Running 1 37m openshift-apiserver apiserver-fm48r 1/1 Running 0 30m openshift-apiserver apiserver-fxkvv 1/1 Running 0 29m openshift-apiserver apiserver-q85nm 1/1 Running 0 29m openshift-service-ca-operator openshift-service-ca-operator-66ff6dc6cd-9r257 1/1 Running 0 37m openshift-service-ca apiservice-cabundle-injector-695b6bcbc-cl5hm 1/1 Running 0 35m openshift-service-ca configmap-cabundle-injector-8498544d7-25qn6 1/1 Running 0 35m openshift-service-ca service-serving-cert-signer-6445fc9c6-wqdqn 1/1 Running 0 35m openshift-service-catalog-apiserver-operator openshift-service-catalog-apiserver-operator-549f44668b-b5q2w 1/1 Running 0 32m openshift-service-catalog-controller-manager-operator openshift-service-catalog-controller-manager-operator-b78cr2lnm 1/1 Running 0 31m",
"./openshift-install destroy cluster --dir <installation_directory> --log-level info 1 2",
"RELEASE_IMAGE=USD(./openshift-install version | awk '/release image/ {print USD3}')",
"oc adm release extract --credentials-requests --cloud=gcp --to=<path_to_directory_with_list_of_credentials_requests>/credrequests \\ 1 USDRELEASE_IMAGE",
"ccoctl gcp delete --name=<name> \\ 1 --project=<gcp_project_id> \\ 2 --credentials-requests-dir=<path_to_directory_with_list_of_credentials_requests>/credrequests"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.11/html/installing/installing-on-gcp |
Chapter 8. Managing Content Views | Chapter 8. Managing Content Views Red Hat Satellite uses Content Views to allow your hosts access to a deliberately curated subset of content. To do this, you must define which repositories to use and then apply certain filters to the content. These filters include package filters, package group filters, errata filters, module stream filters, and container image tag filters. You can use Content Views to define which software versions a particular environment uses. For example, a Production environment might use a Content View containing older package versions, while a Development environment might use a Content View containing newer package versions. Alternatively, a Default Organization View is an application-controlled Content View for all content that is synchronized to Satellite. This type is useful if you want to register a host to Satellite and access content using a subscription, without manipulating content views and lifecycle environments. Each Content View creates a set of repositories across each environment, which Satellite Server stores and manages. When you promote a Content View from one environment to the environment in the application life cycle, the respective repository on Satellite Server updates and publishes the packages. Development Testing Production Content View Version and Contents Version 2 - example_software -1.1-0.noarch.rpm Version 1 - example_software -1.0-0.noarch.rpm Version 1 - example_software -1.0-0.noarch.rpm The repositories for Testing and Production contain the example_software -1.0-0.noarch.rpm package. If you promote Version 2 of the Content View from Development to Testing, the repository for Testing regenerates and then contains the example_software -1.1-0.noarch.rpm package: Development Testing Production Content View Version and Contents Version 2 - example_software -1.1-0.noarch.rpm Version 2 - example_software -1.1-0.noarch.rpm Version 1 - example_software -1.0-0.noarch.rpm This ensures systems are designated to a specific environment but receive updates when that environment uses a new version of the Content View. The general workflow for creating Content Views for filtering and creating snapshots is as follows: Create a Content View. Add one or more repositories that you want to the Content View. Optional: Create one or more filters to refine the content of the Content View. For more information, see Section 8.10, "Content Filter Examples" . Optional: Resolve any package dependencies for a Content View. For more information, see Section 8.8, "Resolving Package Dependencies" . Publish the Content View. Optional: Promote the Content View to another environment. For more information, see Section 8.3, "Promoting a Content View" . Attach the content host to the Content View. If a repository is not associated with the Content View, the file /etc/yum.repos.d/redhat.repo remains empty and systems registered to it cannot receive updates. Hosts can only be associated with a single Content View. To associate a host with multiple Content Views, create a composite Content View. For more information, see Section 8.6, "Creating a Composite Content View" . 8.1. Creating a Content View Use this procedure to create a simple Content View. To use the CLI instead of the Satellite web UI, see the CLI procedure . Prerequisites While you can stipulate whether you want to resolve any package dependencies on a Content View by Content View basis, you might want to change the default Satellite settings to enable or disable package resolution for all Content Views. For more information, see Section 8.8, "Resolving Package Dependencies" . Procedure In the Satellite web UI, navigate to Content > Content Views and click Create content view . In the Name field, enter a name for the view. Satellite automatically completes the Label field from the name you enter. In the Description field, enter a description of the view. In the Type field, select a Content view or a Composite content view . Optional: If you want to solve dependencies automatically every time you publish this Content View, select the Solve dependencies check box. Dependency solving slows the publishing time and might ignore any Content View filters you use. This can also cause errors when resolving dependencies for errata. Optional: If you want to designate this Content View for importing from an upstream server, select the Import only check box. Import-only content views cannot be published directly. Click Create content view . Content View Steps Click Create content view to create the Content View. In the Repositories tab, select the repository from the Type list that you want to add to your Content View, select the checkbox to the available repositories you want to add, then click Add repositories . Click Publish new version and in the Description field, enter information about the version to log changes. Optional: You can enable a promotion path by clicking Promote to Select a lifecycle environment from the available promotion paths to promote new version . Click . On the Review page, you can review the environments you are trying to publish. Click Finish . Note Remove and Delete are similar but the Delete option deletes an entire Content View and the versions associated with that lifecycle environment. The Remove option allows you to choose which version you want removed from the lifecycle environment. You can view the Content View in the Content Views window. To view more information about the Content View, click the Content View name. To register a host to your Content View, see Registering Hosts in Managing Hosts . CLI procedure Obtain a list of repository IDs: Create the Content View and add repositories: For the --repository-ids option, you can find the IDs in the output of the hammer repository list command. Publish the view: Optional: To add a repository to an existing Content View, enter the following command: Satellite Server creates the new version of the view and publishes it to the Library environment. 8.2. Viewing Module Streams In Satellite, you can view the module streams of the repositories in your Content Views. Procedure In the Satellite web UI, navigate to a published version of a Content View > Module Streams to view the module streams that are available for the Content Types. Use the Search field to search for specific modules. To view the information about the module, click the module and its corresponding tabs to include Details , Repositories , Profiles , and Artifacts . 8.3. Promoting a Content View Use this procedure to promote Content Views across different lifecycle environments. To use the CLI instead of the Satellite web UI, see the CLI procedure . Permission Requirements for Content View Promotion Non-administrator users require two permissions to promote a Content View to an environment: promote_or_remove_content_views promote_or_remove_content_views_to_environment . The promote_or_remove_content_views permission restricts which Content Views a user can promote. The promote_or_remove_content_views_to_environment permission restricts the environments to which a user can promote Content Views. With these permissions you can assign users permissions to promote certain Content Views to certain environments, but not to other environments. For example, you can limit a user so that they are permitted to promote to test environments, but not to production environments. You must assign both permissions to a user to allow them to promote Content Views. Procedure In the Satellite web UI, navigate to Content > Content Views and select the Content View that you want to promote. Select the version that you want to promote, click the vertical ellipsis icon, and click Promote . Select the environment where you want to promote the Content View and click Promote . Now the repository for the Content View appears in all environments. CLI procedure Promote the Content View using the hammer content-view version promote each time: Now the database content is available in all environments. To register a host to your Content View, see Registering Hosts in the Managing Hosts guide. 8.4. Promoting a Content View Across All Life Cycle Environments within an Organization Use this procedure to promote Content Views across all lifecycle environments within an organization. Procedure To promote a selected Content View version from Library across all life cycle environments within an organization, run the following Bash script: ORG=" My_Organization " CVV_ID= 3 for i in USD(hammer --no-headers --csv lifecycle-environment list --organization USDORG | awk -F, {'print USD1'} | sort -n) do hammer content-view version promote --organization USDORG --to-lifecycle-environment-id USDi --id USDCVV_ID done Display information about your Content View version to verify that it is promoted to the required lifecycle environments: 8.5. Composite Content Views Overview A Composite Content View combines the content from several Content Views. For example, you might have separate Content Views to manage an operating system and an application individually. You can use a Composite Content View to merge the contents of both Content Views into a new repository. The repositories for the original Content Views still exist but a new repository also exists for the combined content. If you want to develop an application that supports different database servers. The example_application appears as: example_software Application Database Operating System Example of four separate Content Views: Red Hat Enterprise Linux (Operating System) PostgreSQL (Database) MariaDB (Database) example_software (Application) From the Content Views, you can create two Composite Content Views. Example Composite Content View for a PostgreSQL database: Composite Content View 1 - example_software on PostgreSQL example_software (Application) PostgreSQL (Database) Red Hat Enterprise Linux (Operating System) Example Composite Content View for a MariaDB: Composite Content View 2 - example_software on MariaDB example_software (Application) MariaDB (Database) Red Hat Enterprise Linux (Operating System) Each Content View is then managed and published separately. When you create a version of the application, you publish a new version of the Composite Content Views. You can also select the Auto Publish option when creating a Composite Content View, and then the Composite Content View is automatically republished when a Content View it includes is republished. Repository restrictions Docker repositories cannot be included more than once in a Composite Content View. For example, if you attempt to include two Content Views using the same docker repository in a Composite Content View, Satellite Server reports an error. 8.6. Creating a Composite Content View Use this procedure to create a composite Content View. To use the CLI instead of the Satellite web UI, see the CLI procedure . Procedure In the Satellite web UI, navigate to Content > Content Views and click Create content view . In the Create content view window, enter a name for the view in the Name field. Red Hat Satellite automatically completes the Label field from the name you enter. Optional: In the Description field, enter a description of the view. On the Type tab, select Composite content view . Optional: If you want to automatically publish a new version of the Composite Content View when a Content View is republished, select the Auto publish checkbox. Click Create content view . On the Content views tab, select the Content Views that you want to add to the Composite Content View, and then click Add content views . In the Add content views window, select the version of each Content View. Optional: If you want to automatically update the Content View to the latest version, select the Always update to latest version checkbox. Click Add , then click Publish new version . Optional: In the Description field, enter a description of the Content View. In the Publish window, set the Promote switch, then select the lifecycle environment. Click , then click Finish . CLI procedure Before you create the Composite Content Views, list the version IDs for your existing Content Views: Create a new Composite Content View. When the --auto-publish option is set to yes , the Composite Content View is automatically republished when a Content View it includes is republished: Add a Content View to the Composite Content View. You can identify Content View, Content View version, and Organization in the commands by either their ID or their name. To add multiple Content Views to the Composite Content View, repeat this step for every Content View you want to include. If you have the Always update to latest version option enabled for the Content View: If you have the Always update to latest version option disabled for the Content View: Publish the Composite Content View: Promote the Composite Content View across all environments: 8.7. Content Filter Overview Content Views also use filters to include or restrict certain RPM content. Without these filters, a Content View includes everything from the selected repositories. There are two types of content filters: Table 8.1. Filter Types Filter Type Description Include You start with no content, then select which content to add from the selected repositories. Use this filter to combine multiple content items. Exclude You start with all content from selected repositories, then select which content to remove. Use this filter when you want to use most of a particular content repository but exclude certain packages, such as blacklisted packages. The filter uses all content in the repository except for the content you select. Include and Exclude Filter Combinations If using a combination of Include and Exclude filters, publishing a Content View triggers the include filters first, then the exclude filters. In this situation, select which content to include, then which content to exclude from the inclusive subset. Content Types There are also five types of content to filter: Table 8.2. Content Types Content Type Description RPM Filter packages based on their name and version number. The RPM option filters non-modular RPM packages and errata. Package Group Filter packages based on package groups. The list of package groups is based on the repositories added to the Content View. Erratum (by ID) Select which specific errata to add to the filter. The list of Errata is based on the repositories added to the Content View. Erratum (by Date and Type) Select a issued or updated date range and errata type (Bugfix, Enhancement, or Security) to add to the filter. Module Streams Select whether to include or exclude specific module streams. The Module Streams option filters modular RPMs and errata, but does not filter non-modular content that is associated with the selected module stream. Container Image Tag Select whether to include or exclude specific container image tags. 8.8. Resolving Package Dependencies Satellite can add dependencies of packages in a Content View to the dependent repository when publishing the Content View. To configure this, you can enable dependency solving . For example, dependency solving is useful when you incrementally add a single package to a Content View version. You might need to enable dependency solving to install that package. However, dependency solving is unnecessary in most situations. For example: When incrementally adding a security errata to a Content View, dependency solving can cause significant delays to Content View publication without major benefits. Packages from a newer erratum might have dependencies that are incompatible with packages from an older Content View version. Incrementally adding the erratum using dependency solving might include unwanted packages. As an alternative, consider updating the Content View. Note Dependency solving only considers packages within the repositories of the Content View. It does not consider packages installed on clients. For more information, see Limitations to Repository Dependency Resolution in Managing Content . Dependency solving can lead to the following problems: Significant delay in Content View publication Satellite examines every repository in a Content View for dependencies. Therefore, publish time increases with more repositories. To mitigate this problem, use multiple Content Views with fewer repositories and combine them into composite Content Views. Ignored Content View filters on dependent packages Satellite prioritizes resolving package dependencies over the rules in your filter. For example, if you create a filter for security purposes but enable dependency solving, Satellite can add packages that you might consider insecure. To mitigate this problem, carefully test filtering rules to determine the required dependencies. If dependency solving includes unwanted packages, manually identify the core basic dependencies that the extra packages and errata need. 8.9. Enabling Dependency Solving for a Content View Use this procedure to enable dependency solving for a Content View. Prerequisite Dependency solving is useful only in limited contexts. Before enabling it, ensure you read and understand Section 8.8, "Resolving Package Dependencies" Procedure In the Satellite web UI, navigate to Content > Content Views . From the list of content views, select the required Content View. On the Details tab, toggle Solve dependencies . 8.10. Content Filter Examples Use any of the following examples with the procedure that follows to build custom content filters. Note Filters can significantly increase the time to publish a Content View. For example, if a Content View publish task completes in a few minutes without filters, it can take 30 minutes after adding an exclude or include errata filter. Example 1 Create a repository with the base Red Hat Enterprise Linux packages. This filter requires a Red Hat Enterprise Linux repository added to the Content View. Filter: Inclusion Type: Include Content Type: Package Group Filter: Select only the Base package group Example 2 Create a repository that excludes all errata, except for security updates, after a certain date. This is useful if you want to perform system updates on a regular basis with the exception of critical security updates, which must be applied immediately. This filter requires a Red Hat Enterprise Linux repository added to the Content View. Filter: Inclusion Type: Exclude Content Type: Erratum (by Date and Type) Filter: Select only the Bugfix and Enhancement errata types, and clear the Security errata type. Set the Date Type to Updated On . Set the Start Date to the date you want to restrict errata. Leave the End Date blank to ensure any new non-security errata is filtered. Example 3 A combination of Example 1 and Example 2 where you only require the operating system packages and want to exclude recent bug fix and enhancement errata. This requires two filters attached to the same Content View. The Content View processes the Include filter first, then the Exclude filter. Filter 1: Inclusion Type: Include Content Type: Package Group Filter: Select only the Base package group Filter 2: Inclusion Type: Exclude Content Type: Erratum (by Date and Type) Filter: Select only the Bugfix and Enhancement errata types, and clear the Security errata type. Set the Date Type to Updated On . Set the Start Date to the date you want to restrict errata. Leave the End Date blank to ensure any new non-security errata is filtered. Example 4 Filter a specific module stream in a Content View. Filter 1: Inclusion Type: Include Content Type: Module Stream Filter: Select only the specific module stream that you want for the Content View, for example ant , and click Add Module Stream . Filter 2: Inclusion Type: Exclude Content Type: Package Filter: Add a rule to filter any non-modular packages that you want to exclude from the Content View. If you do not filter the packages, the Content View filter includes all non-modular packages associated with the module stream ant . Add a rule to exclude all * packages, or specify the package names that you want to exclude. For another example of how content filters work, see the following article: "How do content filters work in Satellite 6" . 8.11. Creating a Content Filter for Yum Content You can filter Content Views containing Yum content to include or exclude specific packages, package groups, errata, or module streams. Filters are based on a combination of the name , version , and architecture . To use the CLI instead of the Satellite web UI, see the CLI procedure . For examples of how to build a filter, see Section 8.10, "Content Filter Examples" . Procedure In the Satellite web UI, navigate to Content > Content Views and select a Content View. On the Filters tab, click Create filter . Enter a name. From the Content type list, select a content type. From the Inclusion Type list, select either Include filter or Exclude filter . Optional: In the Description field, enter a description for the filter. Click Create filter to create your content filter. Depending on what you enter for Content Type , add rules to create the filter that you want. Select if you want the filter to Apply to subset of repositories or Apply to all repositories . Click Publish New Version to publish the filtered repository. Optional: In the Description field, enter a description of the changes. Click Create filter to publish a new version of the Content View. You can promote this Content View across all environments. CLI procedure Add a filter to the Content View. Use the --inclusion false option to set the filter to an Exclude filter: Add a rule to the filter: Publish the Content View: Promote the view across all environments: 8.12. Deleting A Content View Version Use this procedure to delete a Content View version. Procedure In the Satellite web UI, navigate to Content > Content Views . Select the Content View. On the Versions tab, select the version you want to delete and click on the vertical ellipsis on the right side of the version line. Click Delete to open the deletion wizard that shows any affected environments. Optional: If there are any affected environments, reassign any hosts or activation keys before deletion. Click and review the details of the action. Click Delete . | [
"hammer repository list --organization \" My_Organization \"",
"hammer content-view create --description \" My_Content_View \" --name \" My_Content_View \" --organization \" My_Organization \" --repository-ids 1,2",
"hammer content-view publish --description \" My_Content_View \" --name \" My_Content_View \" --organization \" My_Organization \"",
"# hammer content-view add-repository --name \" My_Content_View \" --organization \" My_Organization \" --repository-id repository_ID",
"hammer content-view version promote --content-view \"Database\" --version 1 --to-lifecycle-environment \"Development\" --organization \" My_Organization \" hammer content-view version promote --content-view \"Database\" --version 1 --to-lifecycle-environment \"Testing\" --organization \" My_Organization \" hammer content-view version promote --content-view \"Database\" --version 1 --to-lifecycle-environment \"Production\" --organization \" My_Organization \"",
"ORG=\" My_Organization \" CVV_ID= 3 for i in USD(hammer --no-headers --csv lifecycle-environment list --organization USDORG | awk -F, {'print USD1'} | sort -n) do hammer content-view version promote --organization USDORG --to-lifecycle-environment-id USDi --id USDCVV_ID done",
"# hammer content-view version info --id 3",
"hammer content-view version list --organization \" My_Organization \"",
"hammer content-view create --composite --auto-publish yes --name \" Example_Composite_Content_View \" --description \"Example Composite Content View\" --organization \" My_Organization \"",
"hammer content-view component add --component-content-view-id Content_View_ID --composite-content-view \" Example_Composite_Content_View \" --latest --organization \" My_Organization \"",
"hammer content-view component add --component-content-view-id Content_View_ID --composite-content-view \" Example_Composite_Content_View \" --component-content-view-version-id Content_View_Version_ID --organization \" My_Organization \"",
"hammer content-view publish --name \" Example_Composite_Content_View \" --description \"Initial version of Composite Content View\" --organization \" My_Organization \"",
"hammer content-view version promote --content-view \" Example_Composite_Content_View \" --version 1 --to-lifecycle-environment \"Development\" --organization \" My_Organization \" hammer content-view version promote --content-view \" Example_Composite_Content_View \" --version 1 --to-lifecycle-environment \"Testing\" --organization \" My_Organization \" hammer content-view version promote --content-view \" Example_Composite_Content_View \" --version 1 --to-lifecycle-environment \"Production\" --organization \" My_Organization \"",
"hammer content-view filter create --name \" Errata Filter \" --type erratum --content-view \" Example_Content_View \" --description \" My latest filter \" --inclusion false --organization \" My_Organization \"",
"hammer content-view filter rule create --content-view \" Example_Content_View \" --content-view-filter \" Errata Filter \" --start-date \" YYYY-MM-DD \" --types enhancement,bugfix --date-type updated --organization \" My_Organization \"",
"hammer content-view publish --name \" Example_Content_View \" --description \"Adding errata filter\" --organization \" My_Organization \"",
"hammer content-view version promote --content-view \" Example_Content_View \" --version 1 --to-lifecycle-environment \"Development\" --organization \" My_Organization \" hammer content-view version promote --content-view \" Example_Content_View \" --version 1 --to-lifecycle-environment \"Testing\" --organization \" My_Organization \" hammer content-view version promote --content-view \" Example_Content_View \" --version 1 --to-lifecycle-environment \"Production\" --organization \" My_Organization \""
] | https://docs.redhat.com/en/documentation/red_hat_satellite/6.11/html/managing_content/managing_content_views_content-management |
Backup and restore | Backup and restore OpenShift Container Platform 4.10 Backing up and restoring your OpenShift Container Platform cluster Red Hat OpenShift Documentation Team | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.10/html/backup_and_restore/index |
19.3. Configuring an External LDAP Provider | 19.3. Configuring an External LDAP Provider 19.3.1. Configuring an External LDAP Provider (Interactive Setup) The ovirt-engine-extension-aaa-ldap extension allows users to customize their external directory setup easily. The ovirt-engine-extension-aaa-ldap extension supports many different LDAP server types, and an interactive setup script is provided to assist you with the setup for most LDAP types. If the LDAP server type is not listed in the interactive setup script, or you want to do more customization, you can manually edit the configuration files. See Section 19.3.3, "Configuring an External LDAP Provider (Manual Method)" for more information. For an Active Directory example, see Section 19.3.2, "Attaching an Active Directory" . Prerequisites: You must know the domain name of the DNS or the LDAP server. To set up secure connection between the LDAP server and the Manager, ensure that a PEM-encoded CA certificate has been prepared. Have at least one set of account name and password ready to perform search and login queries to the LDAP server. Configuring an External LDAP Provider On the Red Hat Virtualization Manager, install the LDAP extension package: Run ovirt-engine-extension-aaa-ldap-setup to start the interactive setup: Select an LDAP type by entering the corresponding number. If you are not sure which schema your LDAP server is, select the standard schema of your LDAP server type. For Active Directory, follow the procedure at Section 19.3.2, "Attaching an Active Directory" . Press Enter to accept the default and configure domain name resolution for your LDAP server name: Select a DNS policy method: For option 1, the DNS servers listed in /etc/resolv.conf are used to resolve the IP address. Check that the /etc/resolv.conf file is updated with the correct DNS servers. For option 2, enter the fully qualified domain name (FQDN) or the IP address of the LDAP server. You can use the dig command with the SRV record to find out the domain name. An SRV record takes the following format: Example: dig _ldap._tcp.redhat.com SRV . For option 3, enter a space-separated list of LDAP servers. Use either the FQDN or IP address of the servers. This policy provides load-balancing between the LDAP servers. Queries are distributed among all LDAP servers according to the round-robin algorithm. For option 4, enter a space-separated list of LDAP servers. Use either the FQDN or IP address of the servers. This policy defines the first LDAP server to be the default LDAP server to respond to queries. If the first server is not available, the query will go to the LDAP server on the list. Select the secure connection method your LDAP server supports and specify the method to obtain a PEM-encoded CA certificate: File allows you to provide the full path to the certificate. URL allows you to specify a URL for the certificate. Inline allows you to paste the content of the certificate in the terminal. System allows you to specify the default location for all CA files. Insecure skips certificate validation, but the connection is still encrypted using TLS. Note LDAPS stands for Lightweight Directory Access Protocol Over Secure Socket Links. For SSL connections, select the ldaps option. Enter the search user distinguished name (DN). The user must have permissions to browse all users and groups on the directory server. The search user must be specified in LDAP annotation. If anonymous search is allowed, press Enter without any input. Enter the base DN: Select Yes if you intend to configure single sign-on for virtual machines. Note that the feature cannot be used with single sign-on to the Administration Portal feature. The script reminds you that the profile name must match the domain name. You will still need to follow the instructions in Configuring Single Sign-On for Virtual Machines in the Virtual Machine Management Guide . Specify a profile name. The profile name is visible to users on the login page. This example uses redhat.com . Note To rename the profile after the domain has been configured, edit the ovirt.engine.aaa.authn.profile.name attribute in the /etc/ovirt-engine/extensions.d/ redhat.com -authn.properties file. Restart the ovirt-engine service for the changes to take effect. Figure 19.1. The Administration Portal Login Page Note Users must select the profile from the drop-down list when logging in for the first time. The information is stored in browser cookies and preselected the time the user logs in. Test the login function to ensure your LDAP server is connected to your Red Hat Virtualization environment properly. For the login query, enter your user name and password : Check that the user details are correct. If the user details are incorrect, select Abort : Manually testing the Search function is recommended. For the search query, select Principal for user accounts or Group for group accounts. Select Yes to Resolve Groups if you want the group account information for the user account to be returned. Three configuration files are created and displayed in the screen output. Select Done to complete the setup: Restart the ovirt-engine service. The profile you have created is now available on the Administration Portal and the VM Portal login pages. To assign the user accounts on the LDAP server appropriate roles and permissions, for example, to log in to the VM Portal, see Section 19.7, "Administering User Tasks From the Administration Portal" . Note For more information, see the LDAP authentication and authorization extension README file at /usr/share/doc/ovirt-engine-extension-aaa-ldap- version . 19.3.2. Attaching an Active Directory Prerequisites You need to know the Active Directory forest name. The forest name is also known as the root domain name. Note Examples of the most common Active Directory configurations, which cannot be configured using the ovirt-engine-extension-aaa-ldap-setup tool, are provided in /usr/share/ovirt-engine-extension-aaa-ldap/examples/README.md . You need to either add the DNS server that can resolve the Active Directory forest name to the /etc/resolv.conf file on the Manager, or note down the Active Directory DNS servers and enter them when prompted by the interactive setup script. To set up secure connection between the LDAP server and the Manager, ensure a PEM-encoded CA certificate has been prepared. See Section D.2, "Setting Up Encrypted Communication between the Manager and an LDAP Server" for more information. Unless anonymous search is supported, a user with permissions to browse all users and groups must be available on the Active Directory to be used as the search user. Note down the search user's distinguished name (DN). Do not use the administrative user for the Active Directory. You must have at least one account name and password ready to perform search and login queries to the Active Directory. If your Active Directory deployment spans multiple domains, be aware of the limitation described in the /usr/share/ovirt-engine-extension-aaa-ldap/profiles/ad.properties file. Configuring an External LDAP Provider On the Red Hat Virtualization Manager, install the LDAP extension package: Run ovirt-engine-extension-aaa-ldap-setup to start the interactive setup: Select an LDAP type by entering the corresponding number. The LDAP-related questions after this step are different for different LDAP types. Enter the Active Directory forest name. If the forest name is not resolvable by your Manager's DNS, the script prompts you to enter a space-separated list of Active Directory DNS server names. Select the secure connection method your LDAP server supports and specify the method to obtain a PEM-encoded CA certificate. The file option allows you to provide the full path to the certificate. The URL option allows you to specify a URL to the certificate. Use the inline option to paste the content of the certificate in the terminal. The system option allows you to specify the location for all CA files. The insecure option allows you to use startTLS in insecure mode. Note LDAPS stands for Lightweight Directory Access Protocol Over Secure Socket Links. For SSL connections, select the ldaps option. For more information on creating a PEM-encoded CA certificate, see Section D.2, "Setting Up Encrypted Communication between the Manager and an LDAP Server" . Enter the search user distinguished name (DN). The user must have permissions to browse all users and groups on the directory server. The search user must be of LDAP annotation. If anonymous search is allowed, press Enter without any input. Specify whether to use single sign-on for virtual machines. This feature is enabled by default, but cannot be used if single sign-on to the Administration Portal is enabled. The script reminds you that the profile name must match the domain name. You will still need to follow the instructions in Configuring Single Sign-On for Virtual Machines in the Virtual Machine Management Guide . Specify a profile name. The profile name is visible to users on the login page. This example uses redhat.com . Figure 19.2. The Administration Portal Login Page Note Users need to select the desired profile from the drop-down list when logging in for the first time. The information is then stored in browser cookies and preselected the time the user logs in. Test the search and login function to ensure your LDAP server is connected to your Red Hat Virtualization environment properly. For the login query, enter the account name and password. For the search query, select Principal for user accounts, and select Group for group accounts. Enter Yes to Resolve Groups if you want the group account information for the user account to be returned. Select Done to complete the setup. Three configuration files are created and displayed in the screen output. The profile you have created is now available on the Administration Portal and the VM Portal login pages. To assign the user accounts on the LDAP server appropriate roles and permissions, for example, to log in to the VM Portal, see Section 19.7, "Administering User Tasks From the Administration Portal" . Note For more information, see the LDAP authentication and authorization extension README file at /usr/share/doc/ovirt-engine-extension-aaa-ldap- version . 19.3.3. Configuring an External LDAP Provider (Manual Method) The ovirt-engine-extension-aaa-ldap extension uses the LDAP protocol to access directory servers and is fully customizable. Kerberos authentication is not required unless you want to enable the single sign-on to the VM Portal or the Administration Portal feature. If the interactive setup method in the section does not cover your use case, you can manually modify the configuration files to attach your LDAP server. The following procedure uses generic details. Specific values depend on your setup. Configuring an External LDAP Provider Manually On the Red Hat Virtualization Manager, install the LDAP extension package: Copy the LDAP configuration template file into the /etc/ovirt-engine directory. Template files are available for active directories ( ad ) and other directory types ( simple ). This example uses the simple configuration template. Rename the configuration files to match the profile name you want visible to users on the Administration Portal and the VM Portal login pages: Edit the LDAP property configuration file by uncommenting an LDAP server type and updating the domain and passwords fields: Example 19.1. Example profile: LDAP server section To use TLS or SSL protocol to interact with the LDAP server, obtain the root CA certificate for the LDAP server and use it to create a public keystore file. Uncomment the following lines and specify the full path to the public keystore file and the password to access the file. Note For more information on creating a public keystore file, see Section D.2, "Setting Up Encrypted Communication between the Manager and an LDAP Server" . Example 19.2. Example profile: keystore section Review the authentication configuration file. The profile name visible to users on the Administration Portal and the VM Portal login pages is defined by ovirt.engine.aaa.authn.profile.name . The configuration profile location must match the LDAP configuration file location. All fields can be left as default. Example 19.3. Example authentication configuration file Review the authorization configuration file. The configuration profile location must match the LDAP configuration file location. All fields can be left as default. Example 19.4. Example authorization configuration file Ensure that the ownership and permissions of the configuration profile are appropriate: Restart the engine service: The example profile you have created is now available on the Administration Portal and the VM Portal login pages. To give the user accounts on the LDAP server appropriate permissions, for example, to log in to the VM Portal, see Section 19.7, "Administering User Tasks From the Administration Portal" . Note For more information, see the LDAP authentication and authorization extension README file at /usr/share/doc/ovirt-engine-extension-aaa-ldap- version . 19.3.4. Removing an External LDAP Provider This procedure shows you how to remove an external configured LDAP provider and its users. Removing an External LDAP Provider Remove the LDAP provider configuration files, replacing the default name profile1 : Restart the ovirt-engine service: In the Administration Portal, in the Users resource tab, select the users of this provider (those whose Authorization provider is profile1 -authz) and click Remove . | [
"yum install ovirt-engine-extension-aaa-ldap-setup",
"ovirt-engine-extension-aaa-ldap-setup",
"Available LDAP implementations: 1 - 389ds 2 - 389ds RFC-2307 Schema 3 - Active Directory 4 - IBM Security Directory Server 5 - IBM Security Directory Server RFC-2307 Schema 6 - IPA 7 - Novell eDirectory RFC-2307 Schema 8 - OpenLDAP RFC-2307 Schema 9 - OpenLDAP Standard Schema 10 - Oracle Unified Directory RFC-2307 Schema 11 - RFC-2307 Schema (Generic) 12 - RHDS 13 - RHDS RFC-2307 Schema 14 - iPlanet Please select:",
"It is highly recommended to use DNS resolution for LDAP server. If for some reason you intend to use hosts or plain address disable DNS usage. Use DNS (Yes, No) [Yes]:",
"_service._protocol . domain_name",
"1 - Single server 2 - DNS domain LDAP SRV record 3 - Round-robin between multiple hosts 4 - Failover between multiple hosts Please select:",
"NOTE: It is highly recommended to use secure protocol to access the LDAP server. Protocol startTLS is the standard recommended method to do so. Only in cases in which the startTLS is not supported, fallback to non standard ldaps protocol. Use plain for test environments only. Please select protocol to use (startTLS, ldaps, plain) [startTLS]: startTLS Please select method to obtain PEM encoded CA certificate (File, URL, Inline, System, Insecure): Please enter the password:",
"Enter search user DN (for example uid=username,dc=example,dc=com or leave empty for anonymous): uid=user1,ou=Users,ou=department-1,dc=example,dc=com Enter search user password:",
"Please enter base DN (dc=redhat,dc=com) [dc=redhat,dc=com]: ou=department-1,dc=redhat,dc=com",
"Are you going to use Single Sign-On for Virtual Machines (Yes, No) [Yes]:",
"Please specify profile name that will be visible to users: redhat.com",
"NOTE: It is highly recommended to test drive the configuration before applying it into engine. Login sequence is executed automatically, but it is recommended to also execute Search sequence manually after successful Login sequence. Please provide credentials to test login flow: Enter user name: Enter user password: [ INFO ] Executing login sequence [ INFO ] Login sequence executed successfully",
"Please make sure that user details are correct and group membership meets expectations (search for PrincipalRecord and GroupRecord titles). Abort if output is incorrect. Select test sequence to execute (Done, Abort, Login, Search) [Abort]:",
"Select test sequence to execute (Done, Abort, Login, Search) [Search]: Search Select entity to search (Principal, Group) [Principal]: Term to search, trailing '*' is allowed: testuser1 Resolve Groups (Yes, No) [No]:",
"Select test sequence to execute (Done, Abort, Login, Search) [Abort]: Done [ INFO ] Stage: Transaction setup [ INFO ] Stage: Misc configuration [ INFO ] Stage: Package installation [ INFO ] Stage: Misc configuration [ INFO ] Stage: Transaction commit [ INFO ] Stage: Closing up CONFIGURATION SUMMARY Profile name is: redhat.com The following files were created: /etc/ovirt-engine/aaa/redhat.com.properties /etc/ovirt-engine/extensions.d/redhat.com.properties /etc/ovirt-engine/extensions.d/redhat.com-authn.properties [ INFO ] Stage: Clean up Log file is available at /tmp/ovirt-engine-extension-aaa-ldap-setup-20171004101225-mmneib.log: [ INFO ] Stage: Pre-termination [ INFO ] Stage: Termination",
"systemctl restart ovirt-engine.service",
"yum install ovirt-engine-extension-aaa-ldap-setup",
"ovirt-engine-extension-aaa-ldap-setup",
"Available LDAP implementations: 1 - 389ds 2 - 389ds RFC-2307 Schema 3 - Active Directory 4 - IBM Security Directory Server 5 - IBM Security Directory Server RFC-2307 Schema 6 - IPA 7 - Novell eDirectory RFC-2307 Schema 8 - OpenLDAP RFC-2307 Schema 9 - OpenLDAP Standard Schema 10 - Oracle Unified Directory RFC-2307 Schema 11 - RFC-2307 Schema (Generic) 12 - RHDS 13 - RHDS RFC-2307 Schema 14 - iPlanet Please select: 3",
"Please enter Active Directory Forest name: ad-example.redhat.com [ INFO ] Resolving Global Catalog SRV record for ad-example.redhat.com [ INFO ] Resolving LDAP SRV record for ad-example.redhat.com",
"NOTE: It is highly recommended to use secure protocol to access the LDAP server. Protocol startTLS is the standard recommended method to do so. Only in cases in which the startTLS is not supported, fallback to non standard ldaps protocol. Use plain for test environments only. Please select protocol to use (startTLS, ldaps, plain) [startTLS]: startTLS Please select method to obtain PEM encoded CA certificate (File, URL, Inline, System, Insecure): File Please enter the password:",
"Enter search user DN (empty for anonymous): cn=user1,ou=Users,dc=test,dc=redhat,dc=com Enter search user password:",
"Are you going to use Single Sign-On for Virtual Machines (Yes, No) [Yes]:",
"Please specify profile name that will be visible to users: redhat.com",
"NOTE: It is highly recommended to test drive the configuration before applying it into engine. Login sequence is executed automatically, but it is recommended to also execute Search sequence manually after successful Login sequence. Select test sequence to execute (Done, Abort, Login, Search) [Abort]: Login Enter search user name: testuser1 Enter search user password: [ INFO ] Executing login sequence Select test sequence to execute (Done, Abort, Login, Search) [Abort]: Search Select entity to search (Principal, Group) [Principal]: Term to search, trailing '*' is allowed: testuser1 Resolve Groups (Yes, No) [No]: [ INFO ] Executing login sequence Select test sequence to execute (Done, Abort, Login, Search) [Abort]: Done [ INFO ] Stage: Transaction setup [ INFO ] Stage: Misc configuration [ INFO ] Stage: Package installation [ INFO ] Stage: Misc configuration [ INFO ] Stage: Transaction commit [ INFO ] Stage: Closing up CONFIGURATION SUMMARY Profile name is: redhat.com The following files were created: /etc/ovirt-engine/aaa/ redhat.com .properties /etc/ovirt-engine/extensions.d/ redhat.com -authz.properties /etc/ovirt-engine/extensions.d/ redhat.com -authn.properties [ INFO ] Stage: Clean up Log file is available at /tmp/ovirt-engine-extension-aaa-ldap-setup-20160114064955-1yar9i.log: [ INFO ] Stage: Pre-termination [ INFO ] Stage: Termination",
"yum install ovirt-engine-extension-aaa-ldap",
"cp -r /usr/share/ovirt-engine-extension-aaa-ldap/examples/simple/. /etc/ovirt-engine",
"mv /etc/ovirt-engine/aaa/profile1.properties /etc/ovirt-engine/aaa/ example .properties mv /etc/ovirt-engine/extensions.d/profile1-authn.properties /etc/ovirt-engine/extensions.d/ example -authn.properties mv /etc/ovirt-engine/extensions.d/profile1-authz.properties /etc/ovirt-engine/extensions.d/ example -authz.properties",
"vi /etc/ovirt-engine/aaa/ example .properties",
"Select one # include = <openldap.properties> #include = <389ds.properties> #include = <rhds.properties> #include = <ipa.properties> #include = <iplanet.properties> #include = <rfc2307-389ds.properties> #include = <rfc2307-rhds.properties> #include = <rfc2307-openldap.properties> #include = <rfc2307-edir.properties> #include = <rfc2307-generic.properties> Server # vars.server = ldap1.company.com Search user and its password. # vars.user = uid=search,cn=users,cn=accounts,dc= company ,dc= com vars.password = 123456 pool.default.serverset.single.server = USD{global:vars.server} pool.default.auth.simple.bindDN = USD{global:vars.user} pool.default.auth.simple.password = USD{global:vars.password}",
"Create keystore, import certificate chain and uncomment if using tls. pool.default.ssl.startTLS = true pool.default.ssl.truststore.file = /full/path/to/myrootca.jks pool.default.ssl.truststore.password = password",
"vi /etc/ovirt-engine/extensions.d/ example -authn.properties",
"ovirt.engine.extension.name = example -authn ovirt.engine.extension.bindings.method = jbossmodule ovirt.engine.extension.binding.jbossmodule.module = org.ovirt.engine-extensions.aaa.ldap ovirt.engine.extension.binding.jbossmodule.class = org.ovirt.engineextensions.aaa.ldap.AuthnExtension ovirt.engine.extension.provides = org.ovirt.engine.api.extensions.aaa.Authn ovirt.engine.aaa.authn.profile.name = example ovirt.engine.aaa.authn.authz.plugin = example -authz config.profile.file.1 = ../aaa/ example .properties",
"vi /etc/ovirt-engine/extensions.d/ example -authz.properties",
"ovirt.engine.extension.name = example -authz ovirt.engine.extension.bindings.method = jbossmodule ovirt.engine.extension.binding.jbossmodule.module = org.ovirt.engine-extensions.aaa.ldap ovirt.engine.extension.binding.jbossmodule.class = org.ovirt.engineextensions.aaa.ldap.AuthzExtension ovirt.engine.extension.provides = org.ovirt.engine.api.extensions.aaa.Authz config.profile.file.1 = ../aaa/ example .properties",
"chown ovirt:ovirt /etc/ovirt-engine/aaa/ example .properties chmod 600 /etc/ovirt-engine/aaa/ example .properties",
"systemctl restart ovirt-engine.service",
"rm /etc/ovirt-engine/extensions.d/ profile1 -authn.properties rm /etc/ovirt-engine/extensions.d/ profile1 -authz.properties rm /etc/ovirt-engine/aaa/ profile1 .properties",
"systemctl restart ovirt-engine"
] | https://docs.redhat.com/en/documentation/red_hat_virtualization/4.3/html/administration_guide/sect-Configuring_an_External_LDAP_Provider |
17.3. Build the Application | 17.3. Build the Application Procedure 17.3. Build the Application Open a command line and navigate to the root directory of this quickstart. Execute the following command to build the archive: Copy the application to the appropriate server: For Linux: For Windows: When domain mode is used, deploy the applications in the following way: For Linux: For Windows: Report a bug | [
"mvn clean install",
"cp adminApp/ear/target/jboss-eap-application-adminApp.ear EAP_HOME1/standalone/deployments cp appOne/ear/target/jboss-eap-application-AppOne.ear EAP_HOME2/standalone/deployments cp appTwo/ear/target/jboss-eap-application-AppTwo.ear EAP_HOME3/standalone/deployments cp appTwo/ear/target/jboss-eap-application-AppTwo.ear EAP_HOME4/standalone/deployments",
"copy adminApp\\ear\\target\\jboss-eap-application-adminApp.ear EAP_HOME1\\standalone\\deployments copy appOne\\ear\\target\\jboss-eap-application-AppOne.ear EAP_HOME2\\standalone\\deployments copy appTwo\\ear\\target\\jboss-eap-application-AppTwo.ear EAP_HOME3\\standalone\\deployments copy appTwo\\ear\\target\\jboss-eap-application-AppTwo.ear EAP_HOME4\\standalone\\deployments",
"EAP_HOME/bin/jboss-cli.sh -c --file=QUICKSTART_HOME/deploy-domain.cli",
"EAP_HOME\\bin\\jboss-cli.bat -c --file=QUICKSTART_HOME/deploy-domain.cli"
] | https://docs.redhat.com/en/documentation/red_hat_data_grid/6.6/html/getting_started_guide/eap_cluster_app_build_the_application |
6.6. Removing Lost Physical Volumes from a Volume Group | 6.6. Removing Lost Physical Volumes from a Volume Group If you lose a physical volume, you can activate the remaining physical volumes in the volume group with the --partial argument of the vgchange command. You can remove all the logical volumes that used that physical volume from the volume group with the --removemissing argument of the vgreduce command. It is recommended that you run the vgreduce command with the --test argument to verify what you will be destroying. Like most LVM operations, the vgreduce command is reversible in a sense if you immediately use the vgcfgrestore command to restore the volume group metadata to its state. For example, if you used the --removemissing argument of the vgreduce command without the --test argument and find you have removed logical volumes you wanted to keep, you can still replace the physical volume and use another vgcfgrestore command to return the volume group to its state. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/4/html/cluster_logical_volume_manager/lost_pv_remove_from_vg |
Chapter 6. Configuring VDPA Compute nodes to enable instances that use VDPA ports | Chapter 6. Configuring VDPA Compute nodes to enable instances that use VDPA ports Important This feature is available in this release as a Technology Preview , and therefore is not fully supported by Red Hat. It should only be used for testing, and should not be deployed in a production environment. For more information about Technology Preview features, see Scope of Coverage Details . VIRTIO data path acceleration (VDPA) provides wirespeed data transfer over VIRTIO. A VDPA device provides a VIRTIO abstraction over an SR-IOV virtual function (VF), which enables VFs to be consumed without a vendor-specific driver on the instance. Note When you use a NIC as a VDPA interface it must be dedicated to the VDPA interface. You cannot use the NIC for other connections because you must configure the NIC's physical function (PF) in switchdev mode and manage the PF by using hardware offloaded OVS. To enable your cloud users to create instances that use VDPA ports, complete the following tasks: Optional: Designate Compute nodes for VDPA. Configure the Compute nodes for VDPA that have the required VDPA drivers. Deploy the overcloud. Tip If the VDPA hardware is limited, you can also configure a host aggregate to optimize scheduling on the VDPA Compute nodes. To schedule only instances that request VDPA on the VDPA Compute nodes, create a host aggregate of the Compute nodes that have the VDPA hardware, and configure the Compute scheduler to place only VDPA instances on the host aggregate. For more information, see Filtering by isolating host aggregates and Creating and managing host aggregates . Prerequisites Your Compute nodes have the required VDPA devices and drivers. Your Compute nodes have Mellanox NICs. Your overcloud is configured for OVS hardware offload. For more information, see Configuring OVS hardware offload . Your overcloud is configured to use ML2/OVN. 6.1. Designating Compute nodes for VDPA To designate Compute nodes for instances that request a VIRTIO data path acceleration (VDPA) interface, create a new role file to configure the VDPA role, and configure the bare-metal nodes with a VDPA resource class to tag the Compute nodes for VDPA. Note The following procedure applies to new overcloud nodes that have not yet been provisioned. To assign a resource class to an existing overcloud node that has already been provisioned, scale down the overcloud to unprovision the node, then scale up the overcloud to reprovision the node with the new resource class assignment. For more information, see Scaling overcloud nodes . Procedure Log in to the undercloud host as the stack user. Source the stackrc undercloud credentials file: Generate a new roles data file named roles_data_vdpa.yaml that includes the Controller , Compute , and ComputeVdpa roles: Update the roles_data_vdpa.yaml file for the VDPA role: Register the VDPA Compute nodes for the overcloud by adding them to your node definition template: node.json or node.yaml . For more information, see Registering nodes for the overcloud in the Director Installation and Usage guide. Inspect the node hardware: For more information, see Creating an inventory of the bare-metal node hardware in the Director Installation and Usage guide. Tag each bare-metal node that you want to designate for VDPA with a custom VDPA resource class: Replace <node> with the name or UUID of the bare-metal node. Add the ComputeVdpa role to your node definition file, overcloud-baremetal-deploy.yaml , and define any predictive node placements, resource classes, network topologies, or other attributes that you want to assign to your nodes: Replace <role_topology_file> with the name of the topology file to use for the ComputeVdpa role, for example, myRoleTopology.j2 . You can reuse an existing network topology or create a new custom network interface template for the role. For more information, see Custom network interface templates in the Director Installation and Usage guide. To use the default network definition settings, do not include network_config in the role definition. For more information about the properties that you can use to configure node attributes in your node definition file, see Bare-metal node provisioning attributes . For an example node definition file, see Example node definition file . Provision the new nodes for your role: Optional: Replace <stack> with the name of the stack for which the bare-metal nodes are provisioned. Defaults to overcloud . Optional: Include the --network-config optional argument to provide the network definitions to the cli-overcloud-node-network-config.yaml Ansible playbook. If you have not defined the network definitions in the node definition file by using the network_config property, then the default network definitions are used. Replace <deployment_file> with the name of the heat environment file to generate for inclusion in the deployment command, for example /home/stack/templates/overcloud-baremetal-deployed.yaml . Monitor the provisioning progress in a separate terminal. When provisioning is successful, the node state changes from available to active : If you ran the provisioning command without the --network-config option, then configure the <Role>NetworkConfigTemplate parameters in your network-environment.yaml file to point to your NIC template files: Replace <vdpa_net_top> with the name of the file that contains the network topology of the ComputeVdpa role, for example, compute.yaml to use the default network topology. 6.2. Configuring a VDPA Compute node To enable your cloud users to create instances that use VIRTIO data path acceleration (VDPA) ports, configure the Compute nodes that have the VDPA devices. Procedure Create a new Compute environment file for configuring VDPA Compute nodes, for example, vdpa_compute.yaml . Add PciPassthroughFilter and NUMATopologyFilter to the NovaSchedulerDefaultFilters parameter in vdpa_compute.yaml : Add the NovaPCIPassthrough parameter to vdpa_compute.yaml to specify the available PCIs for the VDPA devices on the Compute node. For example, to add NVIDIA(R) ConnectX(R)-6 Dx devices to the pool of PCI devices that are available for passthrough to instances, add the following configuration to vdpa_compute.yaml : For more information about how to configure NovaPCIPassthrough , see Guidelines for configuring NovaPCIPassthrough . Enable the input-output memory management unit (IOMMU) in each Compute node BIOS by adding the KernelArgs parameter to vdpa_compute.yaml . For example, use the following KernalArgs settings to enable an Intel Corporation IOMMU: To enable an AMD IOMMU, set KernelArgs to "amd_iommu=on iommu=pt" . Note When you first add the KernelArgs parameter to the configuration of a role, the overcloud nodes automatically reboot during overcloud deployment. If required, you can disable the automatic rebooting of nodes and instead perform node reboots manually after each overcloud deployment. For more information, see Configuring manual node reboot to define KernelArgs . Open your network environment file, and add the following configuration to define the physical network: Replace <bridge_map_1> , and all bridge mappings up to <bridge_map_n> , with the logical to physical bridge mappings that you want to use for the VDPA bridge. For example, tenant:br-tenant . Replace <tunnel_types> with a comma-separated list of the tunnel types for the project network. For example, geneve . Replace <network_types> with a comma-separated list of the project network types for the Networking service (neutron). The first type that you specify is used until all available networks are exhausted, then the type is used. For example, geneve,vlan . Replace <network_vlan_range_1> , and all physical network and VLAN ranges up to <network_vlan_range_n> , with the ML2 and OVN VLAN mapping ranges that you want to support. For example, datacentre:1:1000 , tenant:100:299 . Open your network interface template, and add the following configuration to specify your VDPA-supported network interfaces as a member of the OVN bridge: Add your custom environment files to the stack with your other environment files and deploy the overcloud: Verification Create an instance with a VDPA device. For more information, see Creating an instance with a VDPA interface in the Creating and Managing Instances guide. Log in to the instance as a cloud user. For more information, see Connecting to an instance in the Creating and Managing Instances guide. Verify that the VDPA device is accessible from the instance: | [
"[stack@director ~]USD source ~/stackrc",
"(undercloud)USD openstack overcloud roles generate -o /home/stack/templates/roles_data_vdpa.yaml ComputeVdpa Compute Controller",
"############################################################################### Role: ComputeVdpa # ############################################################################### - name: ComputeVdpa description: | VDPA Compute Node role CountDefault: 1 # Create external Neutron bridge tags: - compute - external_bridge networks: InternalApi: subnet: internal_api_subnet Tenant: subnet: tenant_subnet Storage: subnet: storage_subnet HostnameFormatDefault: '%stackname%-computevdpa-%index%' deprecated_nic_config_name: compute-vdpa.yaml",
"(undercloud)USD openstack overcloud node introspect --all-manageable --provide",
"(undercloud)USD openstack baremetal node set --resource-class baremetal.VDPA <node>",
"- name: Controller count: 3 - name: Compute count: 3 - name: ComputeVdpa count: 1 defaults: resource_class: baremetal.VDPA network_config: template: /home/stack/templates/nic-config/<role_topology_file>",
"(undercloud)USD openstack overcloud node provision [--stack <stack>] [--network-config \\] --output <deployment_file> /home/stack/templates/overcloud-baremetal-deploy.yaml",
"(undercloud)USD watch openstack baremetal node list",
"parameter_defaults: ComputeNetworkConfigTemplate: /home/stack/templates/nic-configs/compute.j2 ComputeVdpaNetworkConfigTemplate: /home/stack/templates/nic-configs/<vdpa_net_top>.j2 ControllerNetworkConfigTemplate: /home/stack/templates/nic-configs/controller.j2",
"parameter_defaults: NovaSchedulerDefaultFilters: ['AvailabilityZoneFilter','ComputeFilter','ComputeCapabilitiesFilter','ImagePropertiesFilter','ServerGroupAntiAffinityFilter','ServerGroupAffinityFilter','PciPassthroughFilter','NUMATopologyFilter']",
"parameter_defaults: ComputeVdpaParameters: NovaPCIPassthrough: - vendor_id: \"15b3\" product_id: \"101d\" address: \"06:00.0\" physical_network: \"tenant\" - vendor_id: \"15b3\" product_id: \"101d\" address: \"06:00.1\" physical_network: \"tenant\"",
"parameter_defaults: ComputeVdpaParameters: KernelArgs: \"intel_iommu=on iommu=pt\"",
"parameter_defaults: NeutronBridgeMappings: - <bridge_map_1> - <bridge_map_n> NeutronTunnelTypes: '<tunnel_types>' NeutronNetworkType: '<network_types>' NeutronNetworkVLANRanges: - <network_vlan_range_1> - <network_vlan_range_n>",
"- type: ovn_bridge name: br-tenant members: - type: sriov_pf name: enp6s0f0 numvfs: 8 use_dhcp: false vdpa: true link_mode: switchdev - type: sriov_pf name: enp6s0f1 numvfs: 8 use_dhcp: false vdpa: true link_mode: switchdev",
"(undercloud)USD openstack overcloud deploy --templates -e [your environment files] -r /home/stack/templates/roles_data_vdpa.yaml -e /home/stack/templates/network-environment.yaml -e /home/stack/templates/vdpa_compute.yaml -e /home/stack/templates/overcloud-baremetal-deployed.yaml -e /home/stack/templates/node-info.yaml",
"openstack port show vdpa-port"
] | https://docs.redhat.com/en/documentation/red_hat_openstack_platform/17.0/html/configuring_the_compute_service_for_instance_creation/assembly_configuring-vdpa-compute-nodes-to-enable-instances-that-use-vdpa-ports |
3.6. Software Collection .pc Files Support | 3.6. Software Collection .pc Files Support The .pc files are special metadata files used by the pkg-config program to store information about libraries available on the system. In case you distribute .pc files that you intend to use only in the Software Collection environment or in addition to the .pc files installed on the system, update the PKG_CONFIG_PATH environment variable. Depending on what is defined in your .pc files, update the PKG_CONFIG_PATH environment variable for the %{_libdir} macro (which expands to the library directory, typically /usr/lib/ or /usr/lib64/ ), or for the %{_datadir} macro (which expands to the share directory, typically /usr/share/ ). If the library directory is defined in your .pc files, update the PKG_CONFIG_PATH environment variable by adjusting the %install section of the Software Collection spec file as follows: %install cat >> %{buildroot}%{_scl_scripts}/enable << EOF export PKG_CONFIG_PATH="%{_libdir}/pkgconfig\USD{PKG_CONFIG_PATH:+:\USD{PKG_CONFIG_PATH}}" EOF If the share directory is defined in your .pc files, update the PKG_CONFIG_PATH environment variable by adjusting the %install section of the Software Collection spec file as follows: %install cat >> %{buildroot}%{_scl_scripts}/enable << EOF export PKG_CONFIG_PATH="%{_datadir}/pkgconfig\USD{PKG_CONFIG_PATH:+:\USD{PKG_CONFIG_PATH}}" EOF The two examples above both configure the enable scriptlet so that it ensures that the .pc files in the Software Collection are preferred over the .pc files available on the system if the Software Collection is enabled. The Software Collection can provide a wrapper script that is visible to the system to enable the Software Collection, for example in the /usr/bin/ directory. In this case, ensure that the .pc files are visible to the system even if the Software Collection is disabled. To allow your system to use .pc files from the disabled Software Collection, update the PKG_CONFIG_PATH environment variable with the paths to the .pc files associated with the Software Collection. Depending on what is defined in your .pc files, update the PKG_CONFIG_PATH environment variable for the %{_libdir} macro (which expands to the library directory), or for the %{_datadir} macro (which expands to the share directory). Procedure 3.5. Updating the PKG_CONFIG_PATH environment variable for %{_libdir} To update the PKG_CONFIG_PATH environment variable for the %{_libdir} macro, create a custom script /etc/profile.d/ name.sh . The script is preloaded when a shell is started on the system. For example, create the following file: Use the pc-libdir.sh short script that modifies the PKG_CONFIG_PATH variable to refer to your .pc files: Add the file to your Software Collection package's spec file: SOURCE2: %{?scl_prefix}pc-libdir.sh Install this file into the system /etc/profile.d/ directory by adjusting the %install section of the Software Collection package's spec file: %install install -p -c -m 644 %{SOURCE2} USDRPM_BUILD_ROOT%{?scl:%_root_sysconfdir}%{!?scl:%_sysconfdir}/profile.d/ Procedure 3.6. Updating the PKG_CONFIG_PATH environment variable for %{_datadir} To update the PKG_CONFIG_PATH environment variable for the %{_datadir} macro, create a custom script /etc/profile.d/ name.sh . The script is preloaded when a shell is started on the system. For example, create the following file: Use the pc-datadir.sh short script that modifies the PKG_CONFIG_PATH variable to refer to your .pc files: Add the file to your Software Collection package's spec file: SOURCE2: %{?scl_prefix}pc-datadir.sh Install this file into the system /etc/profile.d/ directory by adjusting the %install section of the Software Collection package's spec file: %install install -p -c -m 644 %{SOURCE2} USDRPM_BUILD_ROOT%{?scl:%_root_sysconfdir}%{!?scl:%_sysconfdir}/profile.d/ | [
"%install cat >> %{buildroot}%{_scl_scripts}/enable << EOF export PKG_CONFIG_PATH=\"%{_libdir}/pkgconfig\\USD{PKG_CONFIG_PATH:+:\\USD{PKG_CONFIG_PATH}}\" EOF",
"%install cat >> %{buildroot}%{_scl_scripts}/enable << EOF export PKG_CONFIG_PATH=\"%{_datadir}/pkgconfig\\USD{PKG_CONFIG_PATH:+:\\USD{PKG_CONFIG_PATH}}\" EOF",
"%{?scl_prefix}pc-libdir.sh",
"export PKG_CONFIG_PATH=\"%{_libdir}/pkgconfig:/opt/ provider / software_collection/path/to/your/pc_files \"",
"SOURCE2: %{?scl_prefix}pc-libdir.sh",
"%install install -p -c -m 644 %{SOURCE2} USDRPM_BUILD_ROOT%{?scl:%_root_sysconfdir}%{!?scl:%_sysconfdir}/profile.d/",
"%{?scl_prefix}pc-datadir.sh",
"export PKG_CONFIG_PATH=\"%{_datadir}/pkgconfig:/opt/ provider / software_collection/path/to/your/pc_files \"",
"SOURCE2: %{?scl_prefix}pc-datadir.sh",
"%install install -p -c -m 644 %{SOURCE2} USDRPM_BUILD_ROOT%{?scl:%_root_sysconfdir}%{!?scl:%_sysconfdir}/profile.d/"
] | https://docs.redhat.com/en/documentation/red_hat_software_collections/3/html/packaging_guide/sect-software_collection_pc_files_support |
13.11. Hot Rod C# Client | 13.11. Hot Rod C# Client The Hot Rod C# client is a new addition to the list of Hot Rod clients that includes Hot Rod Java and Hot Rod C++ clients. Hot Rod C# client allows .NET runtime applications to connect and interact with Red Hat JBoss Data Grid servers. The Hot Rod C# client is aware of the cluster topology and hashing scheme, and can access an entry on the server in a single hop similar to the Hot Rod Java and Hot Rod C++ clients. The Hot Rod C# client is compatible with 32-bit and 64-bit operating systems on which the .NET Framework is supported by Microsoft. The .NET Framework 4.0 is a prerequisite along with the supported operating systems to use the Hot Rod C# client. Report a bug 13.11.1. Hot Rod C# Client Download and Installation The Hot Rod C# client is included in a .msi file jboss-datagrid-<version>-hotrod-dotnet-client.msi packed for download with Red Hat JBoss Data Grid . To install the Hot Rod C# client, execute the following instructions. Procedure 13.3. Installing the Hot Rod C# Client As an administrator, navigate to the location where the Hot Rod C# .msi file is downloaded. Run the .msi file to launch the windows installer and then click . Figure 13.1. Hot Rod C# Client Setup Welcome Review the end-user license agreement. Select the I accept the terms in the License Agreement check box and then click . Figure 13.2. Hot Rod C# Client End-User License Agreement To change the default directory, click Change... or click to install in the default directory. Figure 13.3. Hot Rod C# Client Destination Folder Click Finish to complete the Hot Rod C# client installation. Figure 13.4. Hot Rod C# Client Setup Completion Report a bug 13.11.2. Hot Rod C# Client Configuration The Hot Rod C# client is configured programmatically using the ConfigurationBuilder. Configure the host and the port to which the client should connect. Sample C# file configuration The following example shows how to use the ConfigurationBuilder to configure a RemoteCacheManager . Example 13.8. C# configuration Report a bug 13.11.3. Hot Rod C# Client API The RemoteCacheManager is a starting point to obtain a reference to a RemoteCache. The following example shows retrieval of a default cache from the server and a few basic operations. Example 13.9. Report a bug 13.11.4. String Marshaller for Interoperability To use the string compatibility marshaller, enable the compatibility mode on the server-side. On the C# client-side, pass an instance of CompatibilitySerializer to the RemoteCacheManager constructor similar to this: Note Attempts to store or retrieve non-string key/values will result in a HotRodClientException being thrown. Report a bug | [
"using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using Infinispan.HotRod; using Infinispan.HotRod.Config; namespace simpleapp { class Program { static void Main(string[] args) { ConfigurationBuilder builder = new ConfigurationBuilder(); builder.AddServer() .Host(args.Length > 1 ? args[0] : \"127.0.0.1\") .Port(args.Length > 2 ? int.Parse(args[1]) : 11222); Configuration config = builder.Build(); RemoteCacheManager cacheManager = new RemoteCacheManager(config); [...] } } }",
"using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; using Infinispan.HotRod; using Infinispan.HotRod.Config; namespace simpleapp { class Program { static void Main(string[] args) { ConfigurationBuilder builder = new ConfigurationBuilder(); builder.AddServer() .Host(args.Length > 1 ? args[0] : \"127.0.0.1\") .Port(args.Length > 2 ? int.Parse(args[1]) : 11222); Configuration config = builder.Build(); RemoteCacheManager cacheManager = new RemoteCacheManager(config); cacheManager.Start(); // Retrieve a reference to the default cache. IRemoteCache<String, String> cache = cacheManager.GetCache<String, String>(); // Add entries. cache.Put(\"key1\", \"value1\"); cache.PutIfAbsent(\"key1\", \"anotherValue1\"); cache.PutIfAbsent(\"key2\", \"value2\"); cache.PutIfAbsent(\"key3\", \"value3\"); // Retrive entries. Console.WriteLine(\"key1 -> \" + cache.Get(\"key1\")); // Bulk retrieve key/value pairs. int limit = 10; IDictionary<String, String> result = cache.GetBulk(limit); foreach (KeyValuePair<String, String> kv in result) { Console.WriteLine(kv.Key + \" -> \" + kv.Value); } // Remove entries. cache.Remove(\"key2\"); Console.WriteLine(\"key2 -> \" + cache.Get(\"key2\")); cacheManager.Stop(); } } }",
"[...] RemoteCacheManager cacheManager = new RemoteCacheManager(new CompatibilitySerializer()); [...] cache.Put(\"key\", \"value\"); String value = cache.Get(\"key\"); [...]"
] | https://docs.redhat.com/en/documentation/red_hat_data_grid/6.6/html/administration_and_configuration_guide/sect-hot_rod_c_client |
Preface | Preface Depending on your organization's security policies, you might require to identify and authorize users before giving them access to resources, such as Red Hat Developer Hub. In Developer Hub, authentication and authorization are two separate processes: Authentication defines the user identity, and passes on this information to Developer Hub. Read the following chapters to configure authentication in Developer Hub. Authorization defines what the authenticated identity can access or do in Developer Hub. See Authorization . Not recommended for production To explore Developer Hub features, you can enable the guest user to skip configuring authentication and authorization, log in as the guest user, and access all the features. The authentication system in Developer Hub is handled by external authentication providers. Developer Hub supports following authentication providers: Red Hat Single-Sign On (RHSSO) GitHub Microsoft Azure To identify users in Developer Hub, configure: One (and only one) authentication provider for sign-in and identification. Optionally, additional authentication providers for identification, to add more information to the user identity, or enable access to additional external resources. For each authentication provider, set up the shared secret that the authentication provider and Developer Hub require to communicate, first in the authentication provider, then in Developer Hub. Developer Hub stores user identity information in the Developer Hub software catalog. Not recommended for production To explore the authentication system and use Developer Hub without authorization policies, you can bypass the Developer Hub software catalog and start using Developer Hub without provisioning the Developer Hub software catalog. To get, store, and update additional user information, such as group or team ownership, with the intention to use this data to define authorization policies, provision users and groups in the Developer Hub software catalog. Important Developer Hub uses a one-way synchronization system to provision users and groups from your authentication system to the Developer Hub software catalog. Therefore, deleting users and groups by using Developer Hub Web UI or REST API might have unintended consequences. | null | https://docs.redhat.com/en/documentation/red_hat_developer_hub/1.3/html/authentication/pr01 |
User and group APIs | User and group APIs OpenShift Container Platform 4.13 Reference guide for user and group APIs Red Hat OpenShift Documentation Team | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.13/html-single/user_and_group_apis/index |
Chapter 16. Integrating with Jira | Chapter 16. Integrating with Jira If you are using Jira, you can forward alerts from Red Hat Advanced Cluster Security for Kubernetes to Jira. The following steps represent a high-level workflow for integrating Red Hat Advanced Cluster Security for Kubernetes with Jira: Setup a user in Jira. Use the Jira URL, username, and password to integrate Jira with Red Hat Advanced Cluster Security for Kubernetes. Identify policies for which you want to send notifications, and update the notification settings for those policies. 16.1. Configuring Jira Start by creating a new user, and assign appropriate roles and permissions. Prerequisites You need a Jira account with permissions to create and edit issues in the project with which you are integrating. Procedure Create a user in Jira which have access to the projects for which you want to create issues: To create a new user, see the Jira documentation topic Create, edit, or remove a user . To give users access to project roles and applications, see the Jira documentation topic Assign users to groups, project roles, and applications . Note If you are using Jira Software Cloud, after you create the user, you must create a token for the user: Go to https://id.atlassian.com/manage/api-tokens , to generate a new token. Use the token as password when you configure Red Hat Advanced Cluster Security for Kubernetes. 16.2. Configuring Red Hat Advanced Cluster Security for Kubernetes Create a new integration in Red Hat Advanced Cluster Security for Kubernetes by using the Jira server URL and user credentials. Procedure In the RHACS portal, go to Platform Configuration Integrations . Scroll down to the Notifier Integrations section and select Jira Software . Click New integration . Enter a name for Integration name . Enter the user credentials in the Username and Password or API token fields. For Issue type , enter a valid Jira Issue Type , for example Task , Sub-task , or Bug . Enter the Jira server URL in the Jira URL field. Enter the key of the project in which you want to create issues in the Default project field. Optional: Use the Annotation key for project field to create issues in different Jira projects by completing the following steps. You can use annotations to dynamically create issues. Add an annotation similar to the following example in your namespace or deployment YAML file, where jira/project-key is the annotation key that you specify in your Jira integration. You can create an annotation for the deployment or the namespace. annotations: # ... jira/project-key: <jira_project_key> # ... Use the annotation key jira/project-key in the Annotation key for project field. If you use custom priorities in your Jira project, use the Priority Mapping toggle to configure custom priorities. If you use mandatory custom fields in your Jira project, enter them as JSON values in the Default Fields JSON field. For example: { "customfield_10004": 3, "customfield_20005": "Alerts", } Select Test to test that the integration with Jira is working. Select Create to generate the configuration. 16.2.1. Creating issues in different Jira projects You can configure Red Hat Advanced Cluster Security for Kubernetes to create issues in different Jira projects so that they directly go to the correct team. After completing the configuration, if a deployment has an annotation in the YAML file, RHACS creates issues in the project specified for that annotation. Otherwise, RHACS creates issues in the default project. Prerequisites You must have an account with access to each project that you want to send the alerts to. Procedure Add an annotation similar to the following example in your namespace or deployment YAML file: annotations: # ... jira/project-key: <jira_project_key> # ... Use the annotation key jira/project-key in the Annotation key for project field when you configure Red Hat Advanced Cluster Security for Kubernetes. 16.2.2. Configuring custom priorities in Jira If you are using custom priorities in your Jira project, you can configure them in Red Hat Advanced Cluster Security for Kubernetes. Procedure While configuring Jira integration in Red Hat Advanced Cluster Security for Kubernetes, turn on the Priority Mapping toggle. Red Hat Advanced Cluster Security for Kubernetes gets the JIRA project schema, and auto fills the values for the CRITICAL_SEVERITY , HIGH_SEVERITY , MEDIUM_SEVERITY , and LOW_SEVERITY fields. Verify or update the priority values based on your JIRA project configuration. Select Test to test that the integration with Jira is working. Select Create to generate the configuration. Note If you get an error, follow the instructions in the Troubleshooting Jira integration section. 16.3. Configuring policy notifications Enable alert notifications for system policies. Procedure In the RHACS portal, go to Platform Configuration Policy Management . Select one or more policies for which you want to send alerts. Under Bulk actions , select Enable notification . In the Enable notification window, select the Jira notifier. Note If you have not configured any other integrations, the system displays a message that no notifiers are configured. Click Enable . Note Red Hat Advanced Cluster Security for Kubernetes sends notifications on an opt-in basis. To receive notifications, you must first assign a notifier to the policy. Notifications are only sent once for a given alert. If you have assigned a notifier to a policy, you will not receive a notification unless a violation generates a new alert. Red Hat Advanced Cluster Security for Kubernetes creates a new alert for the following scenarios: A policy violation occurs for the first time in a deployment. A runtime-phase policy violation occurs in a deployment after you resolved the runtime alert for a policy in that deployment. 16.4. Troubleshooting Jira integration If you are using custom priorities or mandatory custom fields in your Jira project, you may get an error when you try to integrate Red Hat Advanced Cluster Security for Kubernetes with Jira Software. This error might be because of the mismatch between the severity and the priority field values. If you do not know the custom priority values in your JIRA project, use the roxctl CLI to enable debug logging for JIRA integration. Procedure To get the custom priority values from your JIRA project, run the following command to turn on debug logging for JIRA integration: USD roxctl -e "USDROX_CENTRAL_ADDRESS" central debug log --level Debug --modules notifiers/jira Follow the instructions to configure Red Hat Advanced Cluster Security for Kubernetes for Jira integration. When you test the integration, even if the integration test fails, the generated log includes your JIRA project schema and the custom priorities. To save the debugging information as a compressed .zip file, run the following command: USD roxctl -e "USDROX_CENTRAL_ADDRESS" central debug dump Unzip the .zip file to retrieve the custom priority values in use in your JIRA project. To turn off debug logging, run the following command: USD roxctl -e "USDROX_CENTRAL_ADDRESS" central debug log --level Info Configure Red Hat Advanced Cluster Security for Kubernetes for Jira integration again and use the priority values to configure custom priorities. | [
"annotations: jira/project-key: <jira_project_key>",
"{ \"customfield_10004\": 3, \"customfield_20005\": \"Alerts\", }",
"annotations: jira/project-key: <jira_project_key>",
"roxctl -e \"USDROX_CENTRAL_ADDRESS\" central debug log --level Debug --modules notifiers/jira",
"roxctl -e \"USDROX_CENTRAL_ADDRESS\" central debug dump",
"roxctl -e \"USDROX_CENTRAL_ADDRESS\" central debug log --level Info"
] | https://docs.redhat.com/en/documentation/red_hat_advanced_cluster_security_for_kubernetes/4.7/html/integrating/integrate-with-jira |
Chapter 148. KafkaNodePoolSpec schema reference | Chapter 148. KafkaNodePoolSpec schema reference Used in: KafkaNodePool Property Property type Description replicas integer The number of pods in the pool. storage EphemeralStorage , PersistentClaimStorage , JbodStorage Storage configuration (disk). Cannot be updated. roles string (one or more of [controller, broker]) array The roles that the nodes in this pool will have when KRaft mode is enabled. Supported values are 'broker' and 'controller'. This field is required. When KRaft mode is disabled, the only allowed value if broker . resources ResourceRequirements CPU and memory resources to reserve. jvmOptions JvmOptions JVM Options for pods. template KafkaNodePoolTemplate Template for pool resources. The template allows users to specify how the resources belonging to this pool are generated. | null | https://docs.redhat.com/en/documentation/red_hat_streams_for_apache_kafka/2.7/html/streams_for_apache_kafka_api_reference/type-KafkaNodePoolSpec-reference |
11.3.3.6. Informational or Debugging Options | 11.3.3.6. Informational or Debugging Options Certain options used after the fetchmail command can supply important information. --configdump - Displays every possible option based on information from .fetchmailrc and Fetchmail defaults. No email is retrieved for any users when using this option. -s - Executes Fetchmail in silent mode, preventing any messages, other than errors, from appearing after the fetchmail command. -v - Executes Fetchmail in verbose mode, displaying every communication between Fetchmail and remote email servers. -V - Displays detailed version information, lists its global options, and shows settings to be used with each user, including the email protocol and authentication method. No email is retrieved for any users when using this option. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/4/html/reference_guide/s3-email-mda-fetchmail-commands-info |
Chapter 2. Using the Compliance Operator with Red Hat Advanced Cluster Security for Kubernetes | Chapter 2. Using the Compliance Operator with Red Hat Advanced Cluster Security for Kubernetes You can configure RHACS to use the Compliance Operator for compliance reporting and remediation with OpenShift Container Platform clusters. Results from the Compliance Operator are reported in the RHACS Compliance Dashboard. Note You must install the Compliance Operator on the cluster where Central is installed and on each secured cluster that you want reviewed for compliance. The Compliance Operator automates the review of numerous technical implementations and compares them with certain aspects of industry standards, benchmarks, and baselines. The Compliance Operator is not an auditor. To comply or certify to these various standards, you must engage an authorized auditor such as a Qualified Security Assessor (QSA), Joint Authorization Board (JAB), or other industry-recognized regulatory authority to assess your environment. The Compliance Operator makes recommendations based on generally available information and practices that relate to such standards and can assist with remediation, but actual compliance is your responsibility. You are required to work with an authorized auditor to achieve compliance with a standard. For the latest updates, see the Compliance Operator release notes . 2.1. Installing the Compliance Operator Install the Compliance Operator by using the Operator Hub. Procedure In the web console, go to the Operators OperatorHub page. Enter compliance operator into the Filter by keyword box to find the Compliance Operator. Select the Compliance Operator to view the details page. Read the information about the Operator, and then click Install . Important If you use the compliance feature, you can schedule your scan by using RHACS to create a compliance scan schedule. For more information about scheduling a compliance scan by using the compliance feature, see "Customizing and automating your compliance scans". If you create a scan schedule, you do not need to create the ScanSettingBinding on the Compliance Operator. steps Configuring the ScanSettingBinding object Additional resources Customizing and automating your compliance scans 2.2. Configuring the ScanSettingBinding object By creating a ScanSettingBinding object in the openshift-compliance namespace, you can scan your cluster by using the cis and cis-node profiles either from the command-line interface (CLI) or user interface (UI). Important This example uses ocp4-cis and ocp4-cis-node profiles, but OpenShift Container Platform provides additional profiles. For more information, see "Understanding the Compliance Operator". Prerequisites You have installed the Compliance Operator. Procedure To create the ScanSettingBinding object from the CLI, perform the following steps: Create a file named sscan.yaml by using the following content: apiVersion: compliance.openshift.io/v1alpha1 kind: ScanSettingBinding metadata: name: cis-compliance profiles: - name: ocp4-cis-node kind: Profile apiGroup: compliance.openshift.io/v1alpha1 - name: ocp4-cis kind: Profile apiGroup: compliance.openshift.io/v1alpha1 settingsRef: name: default kind: ScanSetting apiGroup: compliance.openshift.io/v1alpha1 Create the ScanSettingBinding object by running the following command: USD oc create -f sscan.yaml -n openshift-compliance If successful, the following message is displayed: USD scansettingbinding.compliance.openshift.io/cis-compliance created To create the ScanSettingBinding object from the UI, perform the following steps: Change the active project to openshift-compliance . Click + to open the Import YAML page. Paste the YAML from the example, and then click Create . Verification Run a compliance scan in RHACS. For more information about how to run a compliance scan by using the compliance feature, see "Checking the compliance status of your infrastructure". Ensure that ocp4-cis and ocp4-cis-node results are displayed. Important If you are using the CLI, you can view the compliance scan results from the dashboard page. For more information about how to view the compliance scan results from the dashboard page, see "Viewing the compliance standards across your environment". If you are using the UI, you can view the compliance scan results from both the dashboard and coverage page. For more information about how to view the compliance scan results from the coverage page, see "Assessing the profile compliance across clusters". Additional resources Understanding the Compliance Operator Compliance Operator scans Checking the compliance status of your infrastructure Viewing the compliance standards across your environment Assessing the profile compliance across clusters | [
"apiVersion: compliance.openshift.io/v1alpha1 kind: ScanSettingBinding metadata: name: cis-compliance profiles: - name: ocp4-cis-node kind: Profile apiGroup: compliance.openshift.io/v1alpha1 - name: ocp4-cis kind: Profile apiGroup: compliance.openshift.io/v1alpha1 settingsRef: name: default kind: ScanSetting apiGroup: compliance.openshift.io/v1alpha1",
"oc create -f sscan.yaml -n openshift-compliance",
"scansettingbinding.compliance.openshift.io/cis-compliance created"
] | https://docs.redhat.com/en/documentation/red_hat_advanced_cluster_security_for_kubernetes/4.6/html/operating/compliance-operator-rhacs |
Chapter 29. Starting a service within an isolated VRF network | Chapter 29. Starting a service within an isolated VRF network With virtual routing and forwarding (VRF), you can create isolated networks with a routing table that is different to the main routing table of the operating system. You can then start services and applications so that they have only access to the network defined in that routing table. 29.1. Configuring a VRF device To use virtual routing and forwarding (VRF), you create a VRF device and attach a physical or virtual network interface and routing information to it. Warning To prevent that you lock out yourself out remotely, perform this procedure on the local console or remotely over a network interface that you do not want to assign to the VRF device. Prerequisites You are logged in locally or using a network interface that is different to the one you want to assign to the VRF device. Procedure Create the vrf0 connection with a same-named virtual device, and attach it to routing table 1000 : Add the enp1s0 device to the vrf0 connection, and configure the IP settings: This command creates the enp1s0 connection as a port of the vrf0 connection. Due to this configuration, the routing information are automatically assigned to the routing table 1000 that is associated with the vrf0 device. If you require static routes in the isolated network: Add the static routes: This adds a route to the 198.51.100.0/24 network that uses 192.0.2.2 as the router. Activate the connection: Verification Display the IP settings of the device that is associated with vrf0 : Display the VRF devices and their associated routing table: Display the main routing table: The main routing table does not mention any routes associated with the device enp1s0 device or the 192.0.2.1/24 subnet. Display the routing table 1000 : The default entry indicates that services that use this routing table, use 192.0.2.254 as their default gateway and not the default gateway in the main routing table. Execute the traceroute utility in the network associated with vrf0 to verify that the utility uses the route from table 1000 : The first hop is the default gateway that is assigned to the routing table 1000 and not the default gateway from the system's main routing table. Additional resources ip-vrf(8) man page on your system 29.2. Starting a service within an isolated VRF network You can configure a service, such as the Apache HTTP Server, to start within an isolated virtual routing and forwarding (VRF) network. Important Services can only bind to local IP addresses that are in the same VRF network. Prerequisites You configured the vrf0 device. You configured Apache HTTP Server to listen only on the IP address that is assigned to the interface associated with the vrf0 device. Procedure Display the content of the httpd systemd service: You require the content of the ExecStart parameter in a later step to run the same command within the isolated VRF network. Create the /etc/systemd/system/httpd.service.d/ directory: Create the /etc/systemd/system/httpd.service.d/override.conf file with the following content: To override the ExecStart parameter, you first need to unset it and then set it to the new value as shown. Reload systemd. Restart the httpd service. Verification Display the process IDs (PID) of httpd processes: Display the VRF association for the PIDs, for example: Display all PIDs associated with the vrf0 device: Additional resources ip-vrf(8) man page on your system | [
"nmcli connection add type vrf ifname vrf0 con-name vrf0 table 1000 ipv4.method disabled ipv6.method disabled",
"nmcli connection add type ethernet con-name enp1s0 ifname enp1s0 controller vrf0 ipv4.method manual ipv4.address 192.0.2.1/24 ipv4.gateway 192.0.2.254",
"nmcli connection modify enp1s0 +ipv4.routes \" 198.51.100.0/24 192.0.2.2 \"",
"nmcli connection up enp1s0",
"ip -br addr show vrf vrf0 enp1s0 UP 192.0.2.1/24",
"ip vrf show Name Table ----------------------- vrf0 1000",
"ip route show default via 203.0.113.0/24 dev enp7s0 proto static metric 100",
"ip route show table 1000 default via 192.0.2.254 dev enp1s0 proto static metric 101 broadcast 192.0.2.0 dev enp1s0 proto kernel scope link src 192.0.2.1 192.0.2.0 /24 dev enp1s0 proto kernel scope link src 192.0.2.1 metric 101 local 192.0.2.1 dev enp1s0 proto kernel scope host src 192.0.2.1 broadcast 192.0.2.255 dev enp1s0 proto kernel scope link src 192.0.2.1 198.51.100.0/24 via 192.0.2.2 dev enp1s0 proto static metric 101",
"ip vrf exec vrf0 traceroute 203.0.113.1 traceroute to 203.0.113.1 ( 203.0.113.1 ), 30 hops max, 60 byte packets 1 192.0.2.254 ( 192.0.2.254 ) 0.516 ms 0.459 ms 0.430 ms",
"systemctl cat httpd [Service] ExecStart=/usr/sbin/httpd USDOPTIONS -DFOREGROUND",
"mkdir /etc/systemd/system/httpd.service.d/",
"[Service] ExecStart= ExecStart=/usr/sbin/ip vrf exec vrf0 /usr/sbin/httpd USDOPTIONS -DFOREGROUND",
"systemctl daemon-reload",
"systemctl restart httpd",
"pidof -c httpd 1904",
"ip vrf identify 1904 vrf0",
"ip vrf pids vrf0 1904 httpd"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/9/html/configuring_and_managing_networking/assembly_starting-a-service-within-an-isolated-vrf-network_configuring-and-managing-networking |
Providing feedback on Red Hat documentation | Providing feedback on Red Hat documentation We appreciate and prioritize your feedback regarding our documentation. Provide as much detail as possible, so that your request can be quickly addressed. Prerequisites You are logged in to the Red Hat Customer Portal. Procedure To provide feedback, perform the following steps: Click the following link: Create Issue Describe the issue or enhancement in the Summary text box. Provide details about the issue or requested enhancement in the Description text box. Type your name in the Reporter text box. Click the Create button. This action creates a documentation ticket and routes it to the appropriate documentation team. Thank you for taking the time to provide feedback. | null | https://docs.redhat.com/en/documentation/red_hat_insights/1-latest/html/remote_host_configuration_and_management/proc-providing-feedback-on-redhat-documentation |
Chapter 6. Updating hosted control planes | Chapter 6. Updating hosted control planes Updates for hosted control planes involve updating the hosted cluster and the node pools. For a cluster to remain fully operational during an update process, you must meet the requirements of the Kubernetes version skew policy while completing the control plane and node updates. 6.1. Requirements to upgrade hosted control planes The multicluster engine for Kubernetes Operator can manage one or more OpenShift Container Platform clusters. After you create a hosted cluster on OpenShift Container Platform, you must import your hosted cluster in the multicluster engine Operator as a managed cluster. Then, you can use the OpenShift Container Platform cluster as a management cluster. Consider the following requirements before you start updating hosted control planes: You must use the bare metal platform for an OpenShift Container Platform cluster when using OpenShift Virtualization as a provider. You must use bare metal or OpenShift Virtualization as the cloud platform for the hosted cluster. You can find the platform type of your hosted cluster in the spec.Platform.type specification of the HostedCluster custom resource (CR). You must upgrade the OpenShift Container Platform cluster, multicluster engine Operator, hosted cluster, and node pools by completing the following tasks: Upgrade an OpenShift Container Platform cluster to the latest version. For more information, see "Updating a cluster using the web console" or "Updating a cluster using the CLI". Upgrade the multicluster engine Operator to the latest version. For more information, see "Updating installed Operators". Upgrade the hosted cluster and node pools from the OpenShift Container Platform version to the latest version. For more information, see "Updating a control plane in a hosted cluster" and "Updating node pools in a hosted cluster". Additional resources Updating a cluster using the web console Updating a cluster using the CLI Updating installed Operators 6.2. Setting channels in a hosted cluster You can see available updates in the HostedCluster.Status field of the HostedCluster custom resource (CR). The available updates are not fetched from the Cluster Version Operator (CVO) of a hosted cluster. The list of the available updates can be different from the available updates from the following fields of the HostedCluster custom resource (CR): status.version.availableUpdates status.version.conditionalUpdates The initial HostedCluster CR does not have any information in the status.version.availableUpdates and status.version.conditionalUpdates fields. After you set the spec.channel field to the stable OpenShift Container Platform release version, the HyperShift Operator reconciles the HostedCluster CR and updates the status.version field with the available and conditional updates. See the following example of the HostedCluster CR that contains the channel configuration: spec: autoscaling: {} channel: stable-4.y 1 clusterID: d6d42268-7dff-4d37-92cf-691bd2d42f41 configuration: {} controllerAvailabilityPolicy: SingleReplica dns: baseDomain: dev11.red-chesterfield.com privateZoneID: Z0180092I0DQRKL55LN0 publicZoneID: Z00206462VG6ZP0H2QLWK 1 Replace <4.y> with the OpenShift Container Platform release version you specified in spec.release . For example, if you set the spec.release to ocp-release:4.16.4-multi , you must set spec.channel to stable-4.16 . After you configure the channel in the HostedCluster CR, to view the output of the status.version.availableUpdates and status.version.conditionalUpdates fields, run the following command: USD oc get -n <hosted_cluster_namespace> hostedcluster <hosted_cluster_name> -o yaml Example output version: availableUpdates: - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:b7517d13514c6308ae16c5fd8108133754eb922cd37403ed27c846c129e67a9a url: https://access.redhat.com/errata/RHBA-2024:6401 version: 4.16.11 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:d08e7c8374142c239a07d7b27d1170eae2b0d9f00ccf074c3f13228a1761c162 url: https://access.redhat.com/errata/RHSA-2024:6004 version: 4.16.10 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:6a80ac72a60635a313ae511f0959cc267a21a89c7654f1c15ee16657aafa41a0 url: https://access.redhat.com/errata/RHBA-2024:5757 version: 4.16.9 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:ea624ae7d91d3f15094e9e15037244679678bdc89e5a29834b2ddb7e1d9b57e6 url: https://access.redhat.com/errata/RHSA-2024:5422 version: 4.16.8 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:e4102eb226130117a0775a83769fe8edb029f0a17b6cbca98a682e3f1225d6b7 url: https://access.redhat.com/errata/RHSA-2024:4965 version: 4.16.6 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:f828eda3eaac179e9463ec7b1ed6baeba2cd5bd3f1dd56655796c86260db819b url: https://access.redhat.com/errata/RHBA-2024:4855 version: 4.16.5 conditionalUpdates: - conditions: - lastTransitionTime: "2024-09-23T22:33:38Z" message: |- Could not evaluate exposure to update risk SRIOVFailedToConfigureVF (creating PromQL round-tripper: unable to load specified CA cert /etc/tls/service-ca/service-ca.crt: open /etc/tls/service-ca/service-ca.crt: no such file or directory) SRIOVFailedToConfigureVF description: OCP Versions 4.14.34, 4.15.25, 4.16.7 and ALL subsequent versions include kernel datastructure changes which are not compatible with older versions of the SR-IOV operator. Please update SR-IOV operator to versions dated 20240826 or newer before updating OCP. SRIOVFailedToConfigureVF URL: https://issues.redhat.com/browse/NHE-1171 reason: EvaluationFailed status: Unknown type: Recommended release: channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:fb321a3f50596b43704dbbed2e51fdefd7a7fd488ee99655d03784d0cd02283f url: https://access.redhat.com/errata/RHSA-2024:5107 version: 4.16.7 risks: - matchingRules: - promql: promql: | group(csv_succeeded{_id="d6d42268-7dff-4d37-92cf-691bd2d42f41", name=~"sriov-network-operator[.].*"}) or 0 * group(csv_count{_id="d6d42268-7dff-4d37-92cf-691bd2d42f41"}) type: PromQL message: OCP Versions 4.14.34, 4.15.25, 4.16.7 and ALL subsequent versions include kernel datastructure changes which are not compatible with older versions of the SR-IOV operator. Please update SR-IOV operator to versions dated 20240826 or newer before updating OCP. name: SRIOVFailedToConfigureVF url: https://issues.redhat.com/browse/NHE-1171 6.3. Updating the OpenShift Container Platform version in a hosted cluster Hosted control planes enables the decoupling of updates between the control plane and the data plane. As a cluster service provider or cluster administrator, you can manage the control plane and the data separately. You can update a control plane by modifying the HostedCluster custom resource (CR) and a node by modifying its NodePool CR. Both the HostedCluster and NodePool CRs specify an OpenShift Container Platform release image in a .release field. To keep your hosted cluster fully operational during an update process, the control plane and the node updates must follow the Kubernetes version skew policy . 6.3.1. The multicluster engine Operator hub management cluster The multicluster engine for Kubernetes Operator requires a specific OpenShift Container Platform version for the management cluster to remain in a supported state. You can install the multicluster engine Operator from OperatorHub in the OpenShift Container Platform web console. See the following support matrices for the multicluster engine Operator versions: multicluster engine Operator 2.7 multicluster engine Operator 2.6 multicluster engine Operator 2.5 multicluster engine Operator 2.4 The multicluster engine Operator supports the following OpenShift Container Platform versions: The latest unreleased version The latest released version Two versions before the latest released version You can also get the multicluster engine Operator version as a part of Red Hat Advanced Cluster Management (RHACM). 6.3.2. Supported OpenShift Container Platform versions in a hosted cluster When deploying a hosted cluster, the OpenShift Container Platform version of the management cluster does not affect the OpenShift Container Platform version of a hosted cluster. The HyperShift Operator creates the supported-versions ConfigMap in the hypershift namespace. The supported-versions ConfigMap describes the range of supported OpenShift Container Platform versions that you can deploy. See the following example of the supported-versions ConfigMap: apiVersion: v1 data: server-version: 2f6cfe21a0861dea3130f3bed0d3ae5553b8c28b supported-versions: '{"versions":["4.17","4.16","4.15","4.14"]}' kind: ConfigMap metadata: creationTimestamp: "2024-06-20T07:12:31Z" labels: hypershift.openshift.io/supported-versions: "true" name: supported-versions namespace: hypershift resourceVersion: "927029" uid: f6336f91-33d3-472d-b747-94abae725f70 Important To create a hosted cluster, you must use the OpenShift Container Platform version from the support version range. However, the multicluster engine Operator can manage only between n+1 and n-2 OpenShift Container Platform versions, where n defines the current minor version. You can check the multicluster engine Operator support matrix to ensure the hosted clusters managed by the multicluster engine Operator are within the supported OpenShift Container Platform range. To deploy a higher version of a hosted cluster on OpenShift Container Platform, you must update the multicluster engine Operator to a new minor version release to deploy a new version of the Hypershift Operator. Upgrading the multicluster engine Operator to a new patch, or z-stream, release does not update the HyperShift Operator to the version. See the following example output of the hcp version command that shows the supported OpenShift Container Platform versions for OpenShift Container Platform 4.16 in the management cluster: Client Version: openshift/hypershift: fe67b47fb60e483fe60e4755a02b3be393256343. Latest supported OCP: 4.17.0 Server Version: 05864f61f24a8517731664f8091cedcfc5f9b60d Server Supports OCP Versions: 4.17, 4.16, 4.15, 4.14 6.4. Updates for the hosted cluster The spec.release value dictates the version of the control plane. The HostedCluster object transmits the intended spec.release value to the HostedControlPlane.spec.release value and runs the appropriate Control Plane Operator version. The hosted control plane manages the rollout of the new version of the control plane components along with any OpenShift Container Platform components through the new version of the Cluster Version Operator (CVO). Important In hosted control planes, the NodeHealthCheck resource cannot detect the status of the CVO. A cluster administrator must manually pause the remediation triggered by NodeHealthCheck , before performing critical operations, such as updating the cluster, to prevent new remediation actions from interfering with cluster updates. To pause the remediation, enter the array of strings, for example, pause-test-cluster , as a value of the pauseRequests field in the NodeHealthCheck resource. For more information, see About the Node Health Check Operator . After the cluster update is complete, you can edit or delete the remediation. Navigate to the Compute NodeHealthCheck page, click your node health check, and then click Actions , which shows a drop-down list. 6.5. Updates for node pools With node pools, you can configure the software that is running in the nodes by exposing the spec.release and spec.config values. You can start a rolling node pool update in the following ways: Changing the spec.release or spec.config values. Changing any platform-specific field, such as the AWS instance type. The result is a set of new instances with the new type. Changing the cluster configuration, if the change propagates to the node. Node pools support replace updates and in-place updates. The nodepool.spec.release value dictates the version of any particular node pool. A NodePool object completes a replace or an in-place rolling update according to the .spec.management.upgradeType value. After you create a node pool, you cannot change the update type. If you want to change the update type, you must create a node pool and delete the other one. 6.5.1. Replace updates for node pools A replace update creates instances in the new version while it removes old instances from the version. This update type is effective in cloud environments where this level of immutability is cost effective. Replace updates do not preserve any manual changes because the node is entirely re-provisioned. 6.5.2. In place updates for node pools An in-place update directly updates the operating systems of the instances. This type is suitable for environments where the infrastructure constraints are higher, such as bare metal. In-place updates can preserve manual changes, but will report errors if you make manual changes to any file system or operating system configuration that the cluster directly manages, such as kubelet certificates. 6.6. Updating node pools in a hosted cluster You can update your version of OpenShift Container Platform by updating the node pools in your hosted cluster. The node pool version must not surpass the hosted control plane version. The .spec.release field in the NodePool custom resource (CR) shows the version of a node pool. Procedure Change the spec.release.image value in the node pool by entering the following command: USD oc patch nodepool <node_pool_name> -n <hosted_cluster_namespace> --type=merge -p '{"spec":{"nodeDrainTimeout":"60s","release":{"image":"<openshift_release_image>"}}}' 1 2 1 Replace <node_pool_name> and <hosted_cluster_namespace> with your node pool name and hosted cluster namespace, respectively. 2 The <openshift_release_image> variable specifies the new OpenShift Container Platform release image that you want to upgrade to, for example, quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64 . Replace <4.y.z> with the supported OpenShift Container Platform version. Verification To verify that the new version was rolled out, check the .status.conditions value in the node pool by running the following command: USD oc get -n <hosted_cluster_namespace> nodepool <node_pool_name> -o yaml Example output status: conditions: - lastTransitionTime: "2024-05-20T15:00:40Z" message: 'Using release image: quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64' 1 reason: AsExpected status: "True" type: ValidReleaseImage 1 Replace <4.y.z> with the supported OpenShift Container Platform version. 6.7. Updating a control plane in a hosted cluster On hosted control planes, you can upgrade your version of OpenShift Container Platform by updating the hosted cluster. The .spec.release in the HostedCluster custom resource (CR) shows the version of the control plane. The HostedCluster updates the .spec.release field to the HostedControlPlane.spec.release and runs the appropriate Control Plane Operator version. The HostedControlPlane resource orchestrates the rollout of the new version of the control plane components along with the OpenShift Container Platform component in the data plane through the new version of the Cluster Version Operator (CVO). The HostedControlPlane includes the following artifacts: CVO Cluster Network Operator (CNO) Cluster Ingress Operator Manifests for the Kube API server, scheduler, and manager Machine approver Autoscaler Infrastructure resources to enable ingress for control plane endpoints such as the Kube API server, ignition, and konnectivity You can set the .spec.release field in the HostedCluster CR to update the control plane by using the information from the status.version.availableUpdates and status.version.conditionalUpdates fields. Procedure Add the hypershift.openshift.io/force-upgrade-to=<openshift_release_image> annotation to the hosted cluster by entering the following command: USD oc annotate hostedcluster -n <hosted_cluster_namespace> <hosted_cluster_name> "hypershift.openshift.io/force-upgrade-to=<openshift_release_image>" --overwrite 1 2 1 Replace <hosted_cluster_name> and <hosted_cluster_namespace> with your hosted cluster name and hosted cluster namespace, respectively. 2 The <openshift_release_image> variable specifies the new OpenShift Container Platform release image that you want to upgrade to, for example, quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64 . Replace <4.y.z> with the supported OpenShift Container Platform version. Change the spec.release.image value in the hosted cluster by entering the following command: USD oc patch hostedcluster <hosted_cluster_name> -n <hosted_cluster_namespace> --type=merge -p '{"spec":{"release":{"image":"<openshift_release_image>"}}}' Verification To verify that the new version was rolled out, check the .status.conditions and .status.version values in the hosted cluster by running the following command: USD oc get -n <hosted_cluster_namespace> hostedcluster <hosted_cluster_name> -o yaml Example output status: conditions: - lastTransitionTime: "2024-05-20T15:01:01Z" message: Payload loaded version="4.y.z" image="quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64" 1 status: "True" type: ClusterVersionReleaseAccepted #... version: availableUpdates: null desired: image: quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64 2 version: 4.y.z 1 2 Replace <4.y.z> with the supported OpenShift Container Platform version. 6.8. Updating a hosted cluster by using the multicluster engine Operator console You can update your hosted cluster by using the multicluster engine Operator console. Important Before updating a hosted cluster, you must refer to the available and conditional updates of a hosted cluster. Choosing a wrong release version might break the hosted cluster. Procedure Select All clusters . Navigate to Infrastructure Clusters to view managed hosted clusters. Click the Upgrade available link to update the control plane and node pools. 6.9. Limitations of managing imported hosted clusters Hosted clusters are automatically imported into the local multicluster engine for Kubernetes Operator, unlike a standalone OpenShift Container Platform or third party clusters. Hosted clusters run some of their agents in the hosted mode so that the agents do not use the resources of your cluster. If you choose to automatically import hosted clusters, you can update node pools and the control plane in hosted clusters by using the HostedCluster resource on the management cluster. To update node pools and a control plane, see "Updating node pools in a hosted cluster" and "Updating a control plane in a hosted cluster". You can import hosted clusters into a location other than the local multicluster engine Operator by using the Red Hat Advanced Cluster Management (RHACM). For more information, see "Discovering multicluster engine for Kubernetes Operator hosted clusters in Red Hat Advanced Cluster Management". In this topology, you must update your hosted clusters by using the command-line interface or the console of the local multicluster engine for Kubernetes Operator where the cluster is hosted. You cannot update the hosted clusters through the RHACM hub cluster. Additional resources Updating node pools in a hosted cluster Updating a control plane in a hosted cluster Discovering multicluster engine for Kubernetes Operator hosted clusters in Red Hat Advanced Cluster Management | [
"spec: autoscaling: {} channel: stable-4.y 1 clusterID: d6d42268-7dff-4d37-92cf-691bd2d42f41 configuration: {} controllerAvailabilityPolicy: SingleReplica dns: baseDomain: dev11.red-chesterfield.com privateZoneID: Z0180092I0DQRKL55LN0 publicZoneID: Z00206462VG6ZP0H2QLWK",
"oc get -n <hosted_cluster_namespace> hostedcluster <hosted_cluster_name> -o yaml",
"version: availableUpdates: - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:b7517d13514c6308ae16c5fd8108133754eb922cd37403ed27c846c129e67a9a url: https://access.redhat.com/errata/RHBA-2024:6401 version: 4.16.11 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:d08e7c8374142c239a07d7b27d1170eae2b0d9f00ccf074c3f13228a1761c162 url: https://access.redhat.com/errata/RHSA-2024:6004 version: 4.16.10 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:6a80ac72a60635a313ae511f0959cc267a21a89c7654f1c15ee16657aafa41a0 url: https://access.redhat.com/errata/RHBA-2024:5757 version: 4.16.9 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:ea624ae7d91d3f15094e9e15037244679678bdc89e5a29834b2ddb7e1d9b57e6 url: https://access.redhat.com/errata/RHSA-2024:5422 version: 4.16.8 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:e4102eb226130117a0775a83769fe8edb029f0a17b6cbca98a682e3f1225d6b7 url: https://access.redhat.com/errata/RHSA-2024:4965 version: 4.16.6 - channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:f828eda3eaac179e9463ec7b1ed6baeba2cd5bd3f1dd56655796c86260db819b url: https://access.redhat.com/errata/RHBA-2024:4855 version: 4.16.5 conditionalUpdates: - conditions: - lastTransitionTime: \"2024-09-23T22:33:38Z\" message: |- Could not evaluate exposure to update risk SRIOVFailedToConfigureVF (creating PromQL round-tripper: unable to load specified CA cert /etc/tls/service-ca/service-ca.crt: open /etc/tls/service-ca/service-ca.crt: no such file or directory) SRIOVFailedToConfigureVF description: OCP Versions 4.14.34, 4.15.25, 4.16.7 and ALL subsequent versions include kernel datastructure changes which are not compatible with older versions of the SR-IOV operator. Please update SR-IOV operator to versions dated 20240826 or newer before updating OCP. SRIOVFailedToConfigureVF URL: https://issues.redhat.com/browse/NHE-1171 reason: EvaluationFailed status: Unknown type: Recommended release: channels: - candidate-4.16 - candidate-4.17 - eus-4.16 - fast-4.16 - stable-4.16 image: quay.io/openshift-release-dev/ocp-release@sha256:fb321a3f50596b43704dbbed2e51fdefd7a7fd488ee99655d03784d0cd02283f url: https://access.redhat.com/errata/RHSA-2024:5107 version: 4.16.7 risks: - matchingRules: - promql: promql: | group(csv_succeeded{_id=\"d6d42268-7dff-4d37-92cf-691bd2d42f41\", name=~\"sriov-network-operator[.].*\"}) or 0 * group(csv_count{_id=\"d6d42268-7dff-4d37-92cf-691bd2d42f41\"}) type: PromQL message: OCP Versions 4.14.34, 4.15.25, 4.16.7 and ALL subsequent versions include kernel datastructure changes which are not compatible with older versions of the SR-IOV operator. Please update SR-IOV operator to versions dated 20240826 or newer before updating OCP. name: SRIOVFailedToConfigureVF url: https://issues.redhat.com/browse/NHE-1171",
"apiVersion: v1 data: server-version: 2f6cfe21a0861dea3130f3bed0d3ae5553b8c28b supported-versions: '{\"versions\":[\"4.17\",\"4.16\",\"4.15\",\"4.14\"]}' kind: ConfigMap metadata: creationTimestamp: \"2024-06-20T07:12:31Z\" labels: hypershift.openshift.io/supported-versions: \"true\" name: supported-versions namespace: hypershift resourceVersion: \"927029\" uid: f6336f91-33d3-472d-b747-94abae725f70",
"Client Version: openshift/hypershift: fe67b47fb60e483fe60e4755a02b3be393256343. Latest supported OCP: 4.17.0 Server Version: 05864f61f24a8517731664f8091cedcfc5f9b60d Server Supports OCP Versions: 4.17, 4.16, 4.15, 4.14",
"oc patch nodepool <node_pool_name> -n <hosted_cluster_namespace> --type=merge -p '{\"spec\":{\"nodeDrainTimeout\":\"60s\",\"release\":{\"image\":\"<openshift_release_image>\"}}}' 1 2",
"oc get -n <hosted_cluster_namespace> nodepool <node_pool_name> -o yaml",
"status: conditions: - lastTransitionTime: \"2024-05-20T15:00:40Z\" message: 'Using release image: quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64' 1 reason: AsExpected status: \"True\" type: ValidReleaseImage",
"oc annotate hostedcluster -n <hosted_cluster_namespace> <hosted_cluster_name> \"hypershift.openshift.io/force-upgrade-to=<openshift_release_image>\" --overwrite 1 2",
"oc patch hostedcluster <hosted_cluster_name> -n <hosted_cluster_namespace> --type=merge -p '{\"spec\":{\"release\":{\"image\":\"<openshift_release_image>\"}}}'",
"oc get -n <hosted_cluster_namespace> hostedcluster <hosted_cluster_name> -o yaml",
"status: conditions: - lastTransitionTime: \"2024-05-20T15:01:01Z\" message: Payload loaded version=\"4.y.z\" image=\"quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64\" 1 status: \"True\" type: ClusterVersionReleaseAccepted # version: availableUpdates: null desired: image: quay.io/openshift-release-dev/ocp-release:4.y.z-x86_64 2 version: 4.y.z"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.15/html/hosted_control_planes/updating-hosted-control-planes |
Chapter 2. Running Red Hat Quay in debug mode | Chapter 2. Running Red Hat Quay in debug mode Red Hat recommends gathering your debugging information when opening a support case. Running Red Hat Quay in debug mode provides verbose logging to help administrators find more information about various issues. Enabling debug mode can speed up the process to reproduce errors and validate a solution for things like geo-replication deployments, Operator deployments, standalone Red Hat Quay deployments, object storage issues, and so on. Additionally, it helps the Red Hat Support to perform a root cause analysis. 2.1. Running a standalone Red Hat Quay deployment in debug mode Running Red Hat Quay in debug mode provides verbose logging to help administrators find more information about various issues. Enabling debug mode can speed up the process to reproduce errors and validate a solution. Use the following procedure to run a standalone deployment of Red Hat Quay in debug mode. Procedure Enter the following command to run your standalone Red Hat Quay deployment in debug mode: USD podman run -p 443:8443 -p 80:8080 -e DEBUGLOG=true -v /config:/conf/stack -v /storage:/datastorage -d {productrepo}/{quayimage}:{productminv} To view the debug logs, enter the following command: USD podman logs quay 2.2. Running the Red Hat Quay Operator in debug mode Use the following procedure to run the Red Hat Quay Operator in debug mode. Procedure Enter the following command to edit the QuayRegistry custom resource definition: USD oc edit quayregistry <quay_registry_name> -n <quay_namespace> Update the QuayRegistry to add the following parameters: spec: - kind: quay managed: true overrides: env: - name: DEBUGLOG value: "true" After the Red Hat Quay Operator has restarted with debugging enabled, try pulling an image from the registry. If it is still slow, dump all dogs from all Quay pods to a file, and check the files for more information. | [
"podman run -p 443:8443 -p 80:8080 -e DEBUGLOG=true -v /config:/conf/stack -v /storage:/datastorage -d {productrepo}/{quayimage}:{productminv}",
"podman logs quay",
"oc edit quayregistry <quay_registry_name> -n <quay_namespace>",
"spec: - kind: quay managed: true overrides: env: - name: DEBUGLOG value: \"true\""
] | https://docs.redhat.com/en/documentation/red_hat_quay/3.10/html/troubleshooting_red_hat_quay/running-quay-debug-mode-intro |
5.4. Configuring IPv4 Settings | 5.4. Configuring IPv4 Settings Configuring IPv4 Settings with control-center Procedure Press the Super key to enter the Activities Overview, type Settings and then press Enter . Then, select the Network tab on the left-hand side, and the Network settings tool appears. Proceed to the section called "Configuring New Connections with control-center" . Select the connection that you want to edit and click on the gear wheel icon. The Editing dialog appears. Click the IPv4 menu entry. The IPv4 menu entry allows you to configure the method used to connect to a network, to enter IP address, DNS and route information as required. The IPv4 menu entry is available when you create and modify one of the following connection types: wired, wireless, mobile broadband, VPN or DSL. If you are using DHCP to obtain a dynamic IP address from a DHCP server, you can simply set Addresses to Automatic (DHCP) . If you need to configure static routes, see Section 4.3, "Configuring Static Routes with GUI" . Setting the Method for IPV4 Using nm-connection-editor You can use the nm-connection-editor to edit and configure connection settings. This procedure describes how you can configure the IPv4 settings: Procedure Enter nm-connection-editor in a terminal. For an existing connection type, click the gear wheel icon. Figure 5.2. Editing a connection Click IPv4 Settings . Figure 5.3. Configuring IPv4 Settings Available IPv4 Methods by Connection Type When you click the Method drop-down menu, depending on the type of connection you are configuring, you are able to select one of the following IPv4 connection methods. All of the methods are listed here according to which connection type, or types, they are associated with: Wired, Wireless and DSL Connection Methods Automatic (DHCP) - Choose this option if the network you are connecting to uses a DHCP server to assign IP addresses. You do not need to fill in the DHCP client ID field. Automatic (DHCP) addresses only - Choose this option if the network you are connecting to uses a DHCP server to assign IP addresses but you want to assign DNS servers manually. Manual - Choose this option if you want to assign IP addresses manually. Link-Local Only - Choose this option if the network you are connecting to does not have a DHCP server and you do not want to assign IP addresses manually. Random addresses will be assigned as per RFC 3927 with prefix 169.254/16 . Shared to other computers - Choose this option if the interface you are configuring is for sharing an Internet or WAN connection. The interface is assigned an address in the 10.42.x.1/24 range, a DHCP server and DNS server are started, and the interface is connected to the default network connection on the system with network address translation ( NAT ). Disabled - IPv4 is disabled for this connection. Mobile Broadband Connection Methods Automatic (PPP) - Choose this option if the network you are connecting to assigns your IP address and DNS servers automatically. Automatic (PPP) addresses only - Choose this option if the network you are connecting to assigns your IP address automatically, but you want to manually specify DNS servers. VPN Connection Methods Automatic (VPN) - Choose this option if the network you are connecting to assigns your IP address and DNS servers automatically. Automatic (VPN) addresses only - Choose this option if the network you are connecting to assigns your IP address automatically, but you want to manually specify DNS servers. DSL Connection Methods Automatic (PPPoE) - Choose this option if the network you are connecting to assigns your IP address and DNS servers automatically. Automatic (PPPoE) addresses only - Choose this option if the network you are connecting to assigns your IP address automatically, but you want to manually specify DNS servers. If you are using DHCP to obtain a dynamic IP address from a DHCP server, you can simply set Method to Automatic (DHCP) . If you need to configure static routes, click the Routes button and for more details on configuration options, see Section 4.3, "Configuring Static Routes with GUI" . | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/networking_guide/sec-Configuring_IPv4_Settings |
E.2. Metadata Contents | E.2. Metadata Contents The volume group metadata contains: Information about how and when it was created Information about the volume group: The volume group information contains: Name and unique id A version number which is incremented whenever the metadata gets updated Any properties: Read/Write? Resizeable? Any administrative limit on the number of physical volumes and logical volumes it may contain The extent size (in units of sectors which are defined as 512 bytes) An unordered list of physical volumes making up the volume group, each with: Its UUID, used to determine the block device containing it Any properties, such as whether the physical volume is allocatable The offset to the start of the first extent within the physical volume (in sectors) The number of extents An unordered list of logical volumes. each consisting of An ordered list of logical volume segments. For each segment the metadata includes a mapping applied to an ordered list of physical volume segments or logical volume segments | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/logical_volume_manager_administration/metadata_contents |
Chapter 35. Configuring TLS for Identity Management | Chapter 35. Configuring TLS for Identity Management This document describes how to configure an Identity Management server to require the TLS protocol version 1.2 in Red Hat Enterprise Linux 7.3 and later. TLS 1.2 is considered more secure than versions of TLS. If your IdM server is deployed in an environment with high security requirements, you can configure it to forbid communication using protocols that are less secure than TLS 1.2. Important Repeat these steps on every IdM server where you want to use TLS 1.2. 35.1. Configuring the httpd Daemon Open the /etc/httpd/conf.d/nss.conf file, and set the following values for the NSSProtocol and NSSCipherSuite entries: Alternatively, use the following commands to set the values for you: Restart the httpd daemon: | [
"NSSProtocol TLSv1.2 NSSCipherSuite +ecdhe_ecdsa_aes_128_sha,+ecdhe_ecdsa_aes_256_sha,+ecdhe_rsa_aes_128_sha,+ecdhe_rsa_aes_256_sha,+rsa_aes_128_sha,+rsa_aes_256_sha",
"sed -i 's/^NSSProtocol .*/NSSProtocol TLSv1.2/' /etc/httpd/conf.d/nss.conf sed -i 's/^NSSCipherSuite .*/NSSCipherSuite +ecdhe_ecdsa_aes_128_sha,+ecdhe_ecdsa_aes_256_sha,+ecdhe_rsa_aes_128_sha,+ecdhe_rsa_aes_256_sha,+rsa_aes_128_sha,+rsa_aes_256_sha/' /etc/httpd/conf.d/nss.conf",
"systemctl restart httpd"
] | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/linux_domain_identity_authentication_and_policy_guide/configuring-tls |
8.25. ca-certificates | 8.25. ca-certificates 8.25.1. RHEA-2014:1500 - ca-certificates enhancement update Updated ca-certificates package that adds various enhancements is now available for Red Hat Enterprise Linux 6. The ca-certificates package contains a set of CA certificates chosen by the Mozilla Foundation for use with the Internet Public Key Infrastructure (PKI). The ca-certificate package has been upgraded to version 2014.1.98, released with Network Security Services (NSS) version 3.16.1, which provides a number of enhancements over the version. (BZ# 1035355 ) Users of ca-certificates are advised to upgrade to this updated package, which adds these enhancements. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/6.6_technical_notes/ca-certificates |
Preface | Preface An administrator can install Red Hat Fuse on Red Hat JBoss Enterprise Application Platform so that programmers can develop Fuse applications that run on JBoss EAP. For information about JBoss EAP, see Introduction to JBoss EAP . To install Fuse on JBoss EAP, see: Chapter 1, Installing Fuse on JBoss EAP Chapter 2, Starting Fuse on JBoss EAP server Chapter 3, Verifying installation of Fuse on JBoss EAP Chapter 4, Adding Fuse users to JBoss EAP Chapter 5, Stopping JBoss EAP Chapter 6, Patching a Fuse on JBoss EAP installation Chapter 7, Setting up Maven locally | null | https://docs.redhat.com/en/documentation/red_hat_fuse/7.13/html/installing_on_jboss_eap/pr01 |
Chapter 10. Defining Access Control for IdM Users | Chapter 10. Defining Access Control for IdM Users Access control is a set of security features which defines who can access certain resources, such as machines, services or entries, and what kinds of operations they are allowed to perform. Identity Management provides several access control areas to make it clear what kind of access is being granted and to whom it is granted. As part of this, Identity Management draws a distinction between access controls to resources within the domain and access control to the IdM configuration itself. This chapter details the different internal access control mechanisms that are available for users within IdM to the IdM server and other IdM users. 10.1. Access Controls for IdM Entries Access control defines the rights or permissions users have been granted to perform operations on other users or objects. The Identity Management access control structure is based on standard LDAP access controls. Access within the IdM server is based on the IdM users, stored in the back end Directory Server instance, who are allowed to access other IdM entities, also stored as LDAP entries in the Directory Server instance. An access control instruction (ACI) has three parts: Actor This is the entity who is being granted permission to do something. In LDAP access control models, this is called the bind rule because it defines who the user is and can optionally require other limits on the bind attempt, such as restricting attempts to a certain time of day or a certain machine. Target This defines the entry which the actor is allowed to perform operations on. Operation type Operation type - the last part determines what kinds of actions the user is allowed to perform. The most common operations are add, delete, write, read, and search. In Identity Management, all users are implicitly granted read and search rights to all entries in the IdM domain, with restrictions only for sensitive attributes like passwords and Kerberos keys. Anonymous users are restricted from seeing security-related configuration, like sudo rules and host-based access control. When any operation is attempted, the first thing that the IdM client does is send user credentials as part of the bind operation. The back end Directory Server checks those user credentials and then checks the user account to see if the user has permission to perform the requested operation. 10.1.1. Access Control Methods in Identity Management To make access control rules simple and clear to implement, Identity Management divides access control definitions into three categories: Self-service rules Self-service rules, which define what operations a user can perform on his own personal entry. The access control type only allows write permissions to attributes within the entry; it does not allow add or delete operations for the entry itself. Delegation rules Delegation rules, which allow a specific user group to perform write (edit) operations on specific attributes for users in another user group. Like self-service rules, this form of access control rule is limited to editing the values of specific attributes; it does not grant the ability to add or remove whole entries or control over unspecified attributes. Role-based access control Role-based access control, which creates special access control groups which are then granted much broader authority over all types of entities in the IdM domain. Roles can be granted edit, add, and delete rights, meaning they can be granted complete control over entire entries, not just selected attributes. Some roles are already created and available within Identity Management. Special roles can be created to manage any type of entry in specific ways, such as hosts, automount configuration, netgroups, DNS settings, and IdM configuration. | null | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/linux_domain_identity_authentication_and_policy_guide/server-access-controls |
Chapter 1. Red Hat Software Collections 3.8 | Chapter 1. Red Hat Software Collections 3.8 This chapter serves as an overview of the Red Hat Software Collections 3.8 content set. It provides a list of components and their descriptions, sums up changes in this version, documents relevant compatibility information, and lists known issues. 1.1. About Red Hat Software Collections For certain applications, more recent versions of some software components are often needed in order to use their latest new features. Red Hat Software Collections is a Red Hat offering that provides a set of dynamic programming languages, database servers, and various related packages that are either more recent than their equivalent versions included in the base Red Hat Enterprise Linux system, or are available for this system for the first time. Red Hat Software Collections 3.8 is available for Red Hat Enterprise Linux 7. For a complete list of components that are distributed as part of Red Hat Software Collections and a brief summary of their features, see Section 1.2, "Main Features" . Red Hat Software Collections does not replace the default system tools provided with Red Hat Enterprise Linux 7. Instead, a parallel set of tools is installed in the /opt/ directory and can be optionally enabled per application by the user using the supplied scl utility. The default versions of Perl or PostgreSQL, for example, remain those provided by the base Red Hat Enterprise Linux system. Note In Red Hat Enterprise Linux 8 and Red Hat Enterprise Linux 9, similar components are provided as Application Streams . All Red Hat Software Collections components are fully supported under Red Hat Enterprise Linux Subscription Level Agreements, are functionally complete, and are intended for production use. Important bug fix and security errata are issued to Red Hat Software Collections subscribers in a similar manner to Red Hat Enterprise Linux for at least two years from the release of each major version. In each major release stream, each version of a selected component remains backward compatible. For detailed information about length of support for individual components, refer to the Red Hat Software Collections Product Life Cycle document. 1.1.1. Red Hat Developer Toolset Red Hat Developer Toolset is a part of Red Hat Software Collections, included as a separate Software Collection. For more information about Red Hat Developer Toolset, refer to the Red Hat Developer Toolset Release Notes and the Red Hat Developer Toolset User Guide . 1.2. Main Features Table 1.1, "Red Hat Software Collections Components" lists components that are supported at the time of the Red Hat Software Collections 3.8 release. All Software Collections are currently supported only on Red Hat Enterprise Linux 7. Table 1.1. Red Hat Software Collections Components Component Software Collection Description Red Hat Developer Toolset 12.1 devtoolset-12 Red Hat Developer Toolset is designed for developers working on the Red Hat Enterprise Linux platform. It provides current versions of the GNU Compiler Collection , GNU Debugger , and other development, debugging, and performance monitoring tools. For a complete list of components, see the Red Hat Developer Toolset Components table in the Red Hat Developer Toolset User Guide . Red Hat Developer Toolset 12.1 devtoolset-12 Red Hat Developer Toolset is designed for developers working on the Red Hat Enterprise Linux platform. It provides current versions of the GNU Compiler Collection , GNU Debugger , and other development, debugging, and performance monitoring tools. For a complete list of components, see the Red Hat Developer Toolset Components table in the Red Hat Developer Toolset User Guide . Perl 5.30.1 rh-perl530 A release of Perl, a high-level programming language that is commonly used for system administration utilities and web programming. The rh-perl530 Software Collection provides additional utilities, scripts, and database connectors for MySQL , PostgreSQL , and SQLite . It includes the DateTime Perl module and the mod_perl Apache httpd module, which is supported only with the httpd24 Software Collection. Additionally, it provides the cpanm utility for easy installation of CPAN modules, the LWP::UserAgent module for communicating with the HTTP servers, and the LWP::Protocol::https module for securing the communication. The rh-perl530 packaging is aligned with upstream; the perl530-perl package installs also core modules, while the interpreter is provided by the perl-interpreter package. PHP 7.3.33 rh-php73 A release of PHP 7.3 with PEAR 1.10.9, APCu 5.1.17, and the Xdebug extension. Python 3.8.14 rh-python38 The rh-python38 Software Collection contains Python 3.8, which introduces new Python modules, such as contextvars , dataclasses , or importlib.resources , new language features, improved developer experience, and performance improvements . In addition, a set of popular extension libraries is provided, including mod_wsgi (supported only together with the httpd24 Software Collection), numpy , scipy , and the psycopg2 PostgreSQL database connector. Ruby 3.0.4 rh-ruby30 A release of Ruby 3.0. This version provides multiple performance improvements and new features, such as Ractor , Fiber Scheduler and the RBS language . Ruby 3.0 maintains source-level backward compatibility with Ruby 2.7. MariaDB 10.5.16 rh-mariadb105 A release of MariaDB, an alternative to MySQL for users of Red Hat Enterprise Linux. For all practical purposes, MySQL is binary compatible with MariaDB and can be replaced with it without any data conversions. This version includes various new features, MariaDB Galera Cluster upgraded to version 4, and PAM plug-in version 2.0 . MySQL 8.0.32 rh-mysql80 A release of the MySQL server, which introduces a number of new security and account management features and enhancements. PostgreSQL 10.23 rh-postgresql10 A release of PostgreSQL, which includes a significant performance improvement and a number of new features, such as logical replication using the publish and subscribe keywords, or stronger password authentication based on the SCRAM-SHA-256 mechanism . PostgreSQL 12.11 rh-postgresql12 A release of PostgreSQL, which provides the pgaudit extension, various enhancements to partitioning and parallelism, support for the SQL/JSON path language, and performance improvements. PostgreSQL 13.7 rh-postgresql13 A release of PostgreSQL, which enables improved query planning and introduces various performance improvements and two new packages, pg_repack and plpython3 . Node.js 14.21.3 rh-nodejs14 A release of Node.js with V8 version 8.3, a new experimental WebAssembly System Interface (WASI), and a new experimental Async Local Storage API. nginx 1.20.1 rh-nginx120 A release of nginx, a web and proxy server with a focus on high concurrency, performance, and low memory usage. This version supports client SSL certificate validation with OCSP and improves support for HTTP/2 . Apache httpd 2.4.34 httpd24 A release of the Apache HTTP Server (httpd), including a high performance event-based processing model, enhanced SSL module and FastCGI support . The mod_auth_kerb , mod_auth_mellon , and ModSecurity modules are also included. Varnish Cache 6.0.8 rh-varnish6 A release of Varnish Cache, a high-performance HTTP reverse proxy. This version includes support for Unix Domain Sockets (both for clients and for back-end servers), new level of the VCL language ( vcl 4.1 ), and improved HTTP/2 support . Maven 3.6.1 rh-maven36 A release of Maven, a software project management and comprehension tool. This release provides various enhancements and bug fixes. Git 2.27.0 rh-git227 A release of Git, a distributed revision control system with a decentralized architecture. As opposed to centralized version control systems with a client-server model, Git ensures that each working copy of a Git repository is its exact copy with complete revision history. This version introduces numerous enhancements; for example, the git checkout command split into git switch and git restore , and changed behavior of the git rebase command . In addition, Git Large File Storage (LFS) has been updated to version 2.11.0. Redis 6.0.16 rh-redis6 A release of Redis 6.0, a persistent key-value database . Redis now supports SSL on all channels, Access Control List, and REdis Serialization Protocol version 3 . HAProxy 1.8.24 rh-haproxy18 A release of HAProxy 1.8, a reliable, high-performance network load balancer for TCP and HTTP-based applications. JDK Mission Control 8.0.1 rh-jmc This Software Collection includes JDK Mission Control (JMC) , a powerful profiler for HotSpot JVMs. JMC provides an advanced set of tools for efficient and detailed analysis of extensive data collected by the JDK Flight Recorder. JMC requires JDK version 11 or later to run. Target Java applications must run with at least OpenJDK version 8 so that JMC can access JDK Flight Recorder features. The rh-jmc Software Collection requires the rh-maven36 Software Collection. Previously released Software Collections remain available in the same distribution channels. All Software Collections, including retired components, are listed in the Table 1.2, "All Available Software Collections" . Software Collections that are no longer supported are marked with an asterisk ( * ). See the Red Hat Software Collections Product Life Cycle document for information on the length of support for individual components. For detailed information regarding previously released components, refer to the Release Notes for earlier versions of Red Hat Software Collections. Table 1.2. All Available Software Collections Component Software Collection Availability Architectures supported on RHEL7 Red Hat Developer Toolset 12 Release Red Hat Developer Toolset 12.1 devtoolset-12 RHEL7 x86_64, s390x, ppc64, ppc64le Components New in Red Hat Software Collections 3.8 Red Hat Developer Toolset 11.0 devtoolset-11 RHEL7 x86_64, s390x, ppc64, ppc64le nginx 1.20.1 rh-nginx120 RHEL7 x86_64, s390x, ppc64le Redis 6.0.16 rh-redis6 RHEL7 x86_64, s390x, ppc64le Components Updated in Red Hat Software Collections 3.8 JDK Mission Control 8.0.1 rh-jmc RHEL7 x86_64 Components Last Updated in Red Hat Software Collections 3.7 Red Hat Developer Toolset 10.1 devtoolset-10 * RHEL7 x86_64, s390x, ppc64, ppc64le MariaDB 10.5.16 rh-mariadb105 RHEL7 x86_64, s390x, ppc64le PostgreSQL 13.7 rh-postgresql13 RHEL7 x86_64, s390x, ppc64le Ruby 3.0.4 rh-ruby30 RHEL7 x86_64, s390x, ppc64le Ruby 2.7.8 rh-ruby27 * RHEL7 x86_64, s390x, aarch64, ppc64le Ruby 2.6.10 rh-ruby26 * RHEL7 x86_64, s390x, aarch64, ppc64le Components Last Updated in Red Hat Software Collections 3.6 Git 2.27.0 rh-git227 RHEL7 x86_64, s390x, ppc64le nginx 1.18.0 rh-nginx118 * RHEL7 x86_64, s390x, ppc64le Node.js 14.21.3 rh-nodejs14 RHEL7 x86_64, s390x, ppc64le Apache httpd 2.4.34 httpd24 RHEL7 x86_64, s390x, aarch64, ppc64le PHP 7.3.33 rh-php73 RHEL7 x86_64, s390x, aarch64, ppc64le HAProxy 1.8.24 rh-haproxy18 RHEL7 x86_64 Perl 5.30.1 rh-perl530 RHEL7 x86_64, s390x, aarch64, ppc64le Ruby 2.5.9 rh-ruby25 * RHEL7 x86_64, s390x, aarch64, ppc64le Components Last Updated in Red Hat Software Collections 3.5 Red Hat Developer Toolset 9.1 devtoolset-9 * RHEL7 x86_64, s390x, aarch64, ppc64, ppc64le Python 3.8.14 rh-python38 RHEL7 x86_64, s390x, aarch64, ppc64le Varnish Cache 6.0.8 rh-varnish6 RHEL7 x86_64, s390x, aarch64, ppc64le Apache httpd 2.4.34 (the last update for RHEL6) httpd24 (RHEL6)* RHEL6 x86_64 Components Last Updated in Red Hat Software Collections 3.4 Node.js 12.22.12 rh-nodejs12 * RHEL7 x86_64, s390x, aarch64, ppc64le nginx 1.16.1 rh-nginx116 * RHEL7 x86_64, s390x, aarch64, ppc64le PostgreSQL 12.11 rh-postgresql12 RHEL7 x86_64, s390x, aarch64, ppc64le Maven 3.6.1 rh-maven36 RHEL7 x86_64, s390x, aarch64, ppc64le Components Last Updated in Red Hat Software Collections 3.3 Red Hat Developer Toolset 8.1 devtoolset-8 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64, ppc64le MariaDB 10.3.35 rh-mariadb103 * RHEL7 x86_64, s390x, aarch64, ppc64le Redis 5.0.5 rh-redis5 * RHEL7 x86_64, s390x, aarch64, ppc64le Components Last Updated in Red Hat Software Collections 3.2 PHP 7.2.24 rh-php72 * RHEL7 x86_64, s390x, aarch64, ppc64le MySQL 8.0.32 rh-mysql80 RHEL7 x86_64, s390x, aarch64, ppc64le Node.js 10.21.0 rh-nodejs10 * RHEL7 x86_64, s390x, aarch64, ppc64le nginx 1.14.1 rh-nginx114 * RHEL7 x86_64, s390x, aarch64, ppc64le Git 2.18.4 rh-git218 * RHEL7 x86_64, s390x, aarch64, ppc64le Components Last Updated in Red Hat Software Collections 3.1 Red Hat Developer Toolset 7.1 devtoolset-7 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64, ppc64le Perl 5.26.3 rh-perl526 * RHEL7 x86_64, s390x, aarch64, ppc64le MongoDB 3.6.3 rh-mongodb36 * RHEL7 x86_64, s390x, aarch64, ppc64le Varnish Cache 5.2.1 rh-varnish5 * RHEL7 x86_64, s390x, aarch64, ppc64le PostgreSQL 10.23 rh-postgresql10 RHEL7 x86_64, s390x, aarch64, ppc64le PHP 7.0.27 rh-php70 * RHEL6, RHEL7 x86_64 MySQL 5.7.24 rh-mysql57 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64le Components Last Updated in Red Hat Software Collections 3.0 PHP 7.1.8 rh-php71 * RHEL7 x86_64, s390x, aarch64, ppc64le nginx 1.12.1 rh-nginx112 * RHEL7 x86_64, s390x, aarch64, ppc64le Python 3.6.12 rh-python36 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64le Maven 3.5.0 rh-maven35 * RHEL7 x86_64, s390x, aarch64, ppc64le MariaDB 10.2.22 rh-mariadb102 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64le PostgreSQL 9.6.19 rh-postgresql96 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64le MongoDB 3.4.9 rh-mongodb34 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64le Node.js 8.17.0 rh-nodejs8 * RHEL7 x86_64, s390x, aarch64, ppc64le Components Last Updated in Red Hat Software Collections 2.4 Red Hat Developer Toolset 6.1 devtoolset-6 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64, ppc64le Scala 2.10.6 rh-scala210 * RHEL7 x86_64 nginx 1.10.2 rh-nginx110 * RHEL6, RHEL7 x86_64 Node.js 6.11.3 rh-nodejs6 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64le Ruby 2.4.6 rh-ruby24 * RHEL6, RHEL7 x86_64 Ruby on Rails 5.0.1 rh-ror50 * RHEL6, RHEL7 x86_64 Eclipse 4.6.3 rh-eclipse46 * RHEL7 x86_64 Python 2.7.18 python27 * RHEL6*, RHEL7 x86_64, s390x, aarch64, ppc64le Thermostat 1.6.6 rh-thermostat16 * RHEL6, RHEL7 x86_64 Maven 3.3.9 rh-maven33 * RHEL6, RHEL7 x86_64 Common Java Packages rh-java-common * RHEL6, RHEL7 x86_64 Components Last Updated in Red Hat Software Collections 2.3 Git 2.9.3 rh-git29 * RHEL6, RHEL7 x86_64, s390x, aarch64, ppc64le Redis 3.2.4 rh-redis32 * RHEL6, RHEL7 x86_64 Perl 5.24.0 rh-perl524 * RHEL6, RHEL7 x86_64 Python 3.5.1 rh-python35 * RHEL6, RHEL7 x86_64 MongoDB 3.2.10 rh-mongodb32 * RHEL6, RHEL7 x86_64 Ruby 2.3.8 rh-ruby23 * RHEL6, RHEL7 x86_64 PHP 5.6.25 rh-php56 * RHEL6, RHEL7 x86_64 Components Last Updated in Red Hat Software Collections 2.2 Red Hat Developer Toolset 4.1 devtoolset-4 * RHEL6, RHEL7 x86_64 MariaDB 10.1.29 rh-mariadb101 * RHEL6, RHEL7 x86_64 MongoDB 3.0.11 upgrade collection rh-mongodb30upg * RHEL6, RHEL7 x86_64 Node.js 4.6.2 rh-nodejs4 * RHEL6, RHEL7 x86_64 PostgreSQL 9.5.14 rh-postgresql95 * RHEL6, RHEL7 x86_64 Ruby on Rails 4.2.6 rh-ror42 * RHEL6, RHEL7 x86_64 MongoDB 2.6.9 rh-mongodb26 * RHEL6, RHEL7 x86_64 Thermostat 1.4.4 thermostat1 * RHEL6, RHEL7 x86_64 Components Last Updated in Red Hat Software Collections 2.1 Varnish Cache 4.0.3 rh-varnish4 * RHEL6, RHEL7 x86_64 nginx 1.8.1 rh-nginx18 * RHEL6, RHEL7 x86_64 Node.js 0.10 nodejs010 * RHEL6, RHEL7 x86_64 Maven 3.0.5 maven30 * RHEL6, RHEL7 x86_64 V8 3.14.5.10 v8314 * RHEL6, RHEL7 x86_64 Components Last Updated in Red Hat Software Collections 2.0 Red Hat Developer Toolset 3.1 devtoolset-3 * RHEL6, RHEL7 x86_64 Perl 5.20.1 rh-perl520 * RHEL6, RHEL7 x86_64 Python 3.4.2 rh-python34 * RHEL6, RHEL7 x86_64 Ruby 2.2.9 rh-ruby22 * RHEL6, RHEL7 x86_64 Ruby on Rails 4.1.5 rh-ror41 * RHEL6, RHEL7 x86_64 MariaDB 10.0.33 rh-mariadb100 * RHEL6, RHEL7 x86_64 MySQL 5.6.40 rh-mysql56 * RHEL6, RHEL7 x86_64 PostgreSQL 9.4.14 rh-postgresql94 * RHEL6, RHEL7 x86_64 Passenger 4.0.50 rh-passenger40 * RHEL6, RHEL7 x86_64 PHP 5.4.40 php54 * RHEL6, RHEL7 x86_64 PHP 5.5.21 php55 * RHEL6, RHEL7 x86_64 nginx 1.6.2 nginx16 * RHEL6, RHEL7 x86_64 DevAssistant 0.9.3 devassist09 * RHEL6, RHEL7 x86_64 Components Last Updated in Red Hat Software Collections 1 Git 1.9.4 git19 * RHEL6, RHEL7 x86_64 Perl 5.16.3 perl516 * RHEL6, RHEL7 x86_64 Python 3.3.2 python33 * RHEL6, RHEL7 x86_64 Ruby 1.9.3 ruby193 * RHEL6, RHEL7 x86_64 Ruby 2.0.0 ruby200 * RHEL6, RHEL7 x86_64 Ruby on Rails 4.0.2 ror40 * RHEL6, RHEL7 x86_64 MariaDB 5.5.53 mariadb55 * RHEL6, RHEL7 x86_64 MongoDB 2.4.9 mongodb24 * RHEL6, RHEL7 x86_64 MySQL 5.5.52 mysql55 * RHEL6, RHEL7 x86_64 PostgreSQL 9.2.18 postgresql92 * RHEL6, RHEL7 x86_64 Legend: RHEL6 - Red Hat Enterprise Linux 6 RHEL7 - Red Hat Enterprise Linux 7 x86_64 - AMD and Intel 64-bit architectures s390x - The 64-bit IBM Z architecture aarch64 - The 64-bit ARM architecture ppc64 - IBM POWER, big endian ppc64le - IBM POWER, little endian * - Retired component; this Software Collection is no longer supported The tables above list the latest versions available through asynchronous updates. Note that Software Collections released in Red Hat Software Collections 2.0 and later include a rh- prefix in their names. Eclipse is available as a part of the Red Hat Developer Tools offering. 1.3. Changes in Red Hat Software Collections 3.8 1.3.1. Overview Architectures The Red Hat Software Collections offering contains packages for Red Hat Enterprise Linux 7 running on the following architectures: AMD and Intel 64-bit architectures 64-bit IBM Z IBM POWER, little endian For a full list of components and their availability, see Table 1.2, "All Available Software Collections" . New Software Collections Red Hat Software Collections 3.8 adds the following new Software Collections: devtoolset-12 (available since November 2022) - see Section 1.3.2, "Changes in Red Hat Developer Toolset 12" devtoolset-11 - see Section 1.3.3, "Changes in Red Hat Developer Toolset 11" rh-nginx120 - see Section 1.3.4, "Changes in nginx" rh-redis6 - see Section 1.3.5, "Changes in Redis" All new Software Collections are available only for Red Hat Enterprise Linux 7. Updated Software Collections The following component has been updated in Red Hat Software Collections 3.8: rh-jmc - see Section 1.3.6, "Changes in JDK Mission Control" httpd24 (asynchronous update) - see Section 1.3.7, "Changes in Apache httpd (asynchronous update)" Red Hat Software Collections Container Images The following container images are new in Red Hat Software Collections 3.8: rhscl/devtoolset-12-toolchain-rhel7 (available since November 2022) rhscl/devtoolset-12-perftools-rhel7 (available since November 2022) rhscl/nginx-120-rhel7 rhscl/redis-6-rhel7 For more information about Red Hat Software Collections container images, see Section 3.4, "Red Hat Software Collections Container Images" . 1.3.2. Changes in Red Hat Developer Toolset 12 1.3.2.1. Changes in Red Hat Developer Toolset 12.0 The following components have been upgraded in Red Hat Developer Toolset 12.0 compared to the release: GCC to version 12.1.1 annobin to version 10.76 elfutils to version 0.187 GDB to version 11.2 strace to version 5.18 SystemTap to version 4.7 Valgrind to version 3.19.0 Dyninst to version 12.1.0 In addition, a bug fix update is available for binutils . For detailed changes in Red Hat Developer Toolset 12.0, see the Red Hat Developer Toolset User Guide . 1.3.2.2. Changes in Red Hat Developer Toolset 12.1 The following components have been upgraded in Red Hat Developer Toolset 12.1: GCC to version 12.2.1 annobin to version 11.08 In addition, a security update is available for binutils . For more information about Red Hat Developer Toolset 12.1, see the Red Hat Developer Toolset User Guide . 1.3.3. Changes in Red Hat Developer Toolset 11 The following components have been upgraded in Red Hat Developer Toolset 12.1 compared to the release: GCC to version 11.2.1 binutils to version 2.36.1 elfutils to version 0.185 dwz to version 0.14 GDB to version 10.2 strace to version 5.13 SystemTap to version 4.5 Valgrind to version 3.17.0 Dyninst to version 11.0.0 make to version 4.3 annobin to version 9.82 For detailed information on changes in 12.1, see the Red Hat Developer Toolset User Guide . 1.3.4. Changes in nginx The new rh-nginx120 Software Collection introduces nginx 1.20.1 , which provides a number of bug and security fixes, new features, and enhancements over version 1.18. New features: nginx now supports client SSL certificate validation with Online Certificate Status Protocol (OCSP). nginx now supports cache clearing based on the minimum amount of free space. This support is implemented as the min_free parameter of the proxy_cache_path directive. A new ngx_stream_set_module module has been added, which enables you to set a value for a variable. Enhanced directives: Multiple new directives are now available, such as ssl_conf_command and ssl_reject_handshake . The proxy_cookie_flags directive now supports variables. Improved support for HTTP/2: The ngx_http_v2 module now includes the lingering_close , lingering_time , lingering_timeout directives. Handling connections in HTTP/2 has been aligned with HTTP/1.x. From nginx 1.20 , use the keepalive_timeout and keepalive_requests directives instead of the removed http2_recv_timeout , http2_idle_timeout , and http2_max_requests directives. For more information regarding changes in nginx , refer to the upstream release notes . For migration instructions, see Section 5.4, "Migrating to nginx 1.20" . 1.3.5. Changes in Redis The new rh-redis6 Software Collection includes Redis 6.0.16 . This version provides multiple enhancements and bug fixes over version 5.0.5 distributed with an earlier Red Hat Software Collections release. Notable changes over Redis 5 include: Redis now supports SSL on all channels. Redis now supports Access Control List (ACL), which defines user permissions for command calls and key pattern access. Redis now supports REdis Serialization Protocol version 3 (RESP3), which returns more semantical replies. Redis can now optionally use threads to handle I/O. Redis now offers server-side support for client-side caching of key values. The Redis active expire cycle has been improved to enable faster eviction of expired keys. For migration and compatibility notes, see Section 5.5, "Migrating to Redis 6" . For detailed changes in Redis , see the upstream release notes . 1.3.6. Changes in JDK Mission Control JDK Mission Control (JMC), provided by the rh-jmc Software Collection, has been upgraded to version 8.0.1, which provides bug and security fixes. 1.3.7. Changes in Apache httpd (asynchronous update) To fix CVE-2022-29404 , the default value for the LimitRequestBody directive in the Apache HTTP Server has been changed from 0 (unlimited) to 1 GiB with the release of the RHSA-2022:6753 advisory. On systems where the value of LimitRequestBody is not explicitly specified in an httpd configuration file, updating the httpd package sets LimitRequestBody to the default value of 1 GiB. As a consequence, if the total size of the HTTP request body exceeds this 1 GiB default limit, httpd returns the 413 Request Entity Too Large error code. If the new default allowed size of an HTTP request message body is insufficient for your use case, update your httpd configuration files within the respective context (server, per-directory, per-file, or per-location) and set your preferred limit in bytes. For example, to set a new 2 GiB limit, use: Systems already configured to use any explicit value for the LimitRequestBody directive are unaffected by this change. 1.4. Compatibility Information Red Hat Software Collections 3.8 is available for all supported releases of Red Hat Enterprise Linux 7 on AMD and Intel 64-bit architectures, 64-bit IBM Z, and IBM POWER, little endian. Certain previously released components are available also for the 64-bit ARM architecture. For a full list of available components, see Table 1.2, "All Available Software Collections" . 1.5. Known Issues rh-mariadb component The rh-mariadb103 Software Collection provides the Pluggable Authentication Modules (PAM) plug-in version 1.0. The rh-mariadb105 Software Collection provides the plug-in versions 1.0 and 2.0, version 2.0 is the default. The PAM plug-in version 1.0 in MariaDB does not work. To work around this problem, use the PAM plug-in version 2.0 provided by rh-mariadb105 . rh-ruby27 component, BZ# 1836201 When a custom script requires the Psych YAML parser and afterwards uses the Gem.load_yaml method, running the script fails with the following error message: To work around this problem, add the gem 'psych' line to the script somewhere above the require 'psych' line: ... gem 'psych' ... require 'psych' Gem.load_yaml multiple components, BZ# 1716378 Certain files provided by the Software Collections debuginfo packages might conflict with the corresponding debuginfo package files from the base Red Hat Enterprise Linux system or from other versions of Red Hat Software Collections components. For example, the python27-python-debuginfo package files might conflict with the corresponding files from the python-debuginfo package installed on the core system. Similarly, files from the httpd24-mod_auth_mellon-debuginfo package might conflict with similar files provided by the base system mod_auth_mellon-debuginfo package. To work around this problem, uninstall the base system debuginfo package prior to installing the Software Collection debuginfo package. rh-mysql80 component, BZ# 1646363 The mysql-connector-java database connector does not work with the MySQL 8.0 server. To work around this problem, use the mariadb-java-client database connector from the rh-mariadb103 Software Collection. rh-mysql80 component, BZ# 1646158 The default character set has been changed to utf8mb4 in MySQL 8.0 but this character set is unsupported by the php-mysqlnd database connector. Consequently, php-mysqlnd fails to connect in the default configuration. To work around this problem, specify a known character set as a parameter of the MySQL server configuration. For example, modify the /etc/opt/rh/rh-mysql80/my.cnf.d/mysql-server.cnf file to read: httpd24 component, BZ# 1429006 Since httpd 2.4.27 , the mod_http2 module is no longer supported with the default prefork Multi-Processing Module (MPM). To enable HTTP/2 support, edit the configuration file at /opt/rh/httpd24/root/etc/httpd/conf.modules.d/00-mpm.conf and switch to the event or worker MPM. Note that the HTTP/2 server-push feature does not work on the 64-bit ARM architecture, 64-bit IBM Z, and IBM POWER, little endian. httpd24 component, BZ# 1224763 When using the mod_proxy_fcgi module with FastCGI Process Manager (PHP-FPM), httpd uses port 8000 for the FastCGI protocol by default instead of the correct port 9000 . To work around this problem, specify the correct port explicitly in configuration. httpd24 component, BZ# 1382706 When SELinux is enabled, the LD_LIBRARY_PATH environment variable is not passed through to CGI scripts invoked by httpd . As a consequence, in some cases it is impossible to invoke executables from Software Collections enabled in the /opt/rh/httpd24/service-environment file from CGI scripts run by httpd . To work around this problem, set LD_LIBRARY_PATH as desired from within the CGI script. httpd24 component Compiling external applications against the Apache Portable Runtime (APR) and APR-util libraries from the httpd24 Software Collection is not supported. The LD_LIBRARY_PATH environment variable is not set in httpd24 because it is not required by any application in this Software Collection. scl-utils component In Red Hat Enterprise Linux 7.5 and earlier, due to an architecture-specific macro bug in the scl-utils package, the <collection>/root/usr/lib64/ directory does not have the correct package ownership on the 64-bit ARM architecture and on IBM POWER, little endian. As a consequence, this directory is not removed when a Software Collection is uninstalled. To work around this problem, manually delete <collection>/root/usr/lib64/ when removing a Software Collection. maven component When the user has installed both the Red Hat Enterprise Linux system version of maven-local package and the rh-maven*-maven-local package, XMvn , a tool used for building Java RPM packages, run from the Maven Software Collection tries to read the configuration file from the base system and fails. To work around this problem, uninstall the maven-local package from the base Red Hat Enterprise Linux system. perl component It is impossible to install more than one mod_perl.so library. As a consequence, it is not possible to use the mod_perl module from more than one Perl Software Collection. httpd , mariadb , mysql , nodejs , perl , php , python , and ruby components, BZ# 1072319 When uninstalling the httpd24 , rh-mariadb* , rh-mysql* , rh-nodejs* , rh-perl* , rh-php* , python27 , rh-python* , or rh-ruby* packages, the order of uninstalling can be relevant due to ownership of dependent packages. As a consequence, some directories and files might not be removed properly and might remain on the system. mariadb , mysql components, BZ# 1194611 Since MariaDB 10 and MySQL 5.6 , the rh-mariadb*-mariadb-server and rh-mysql*-mysql-server packages no longer provide the test database by default. Although this database is not created during initialization, the grant tables are prefilled with the same values as when test was created by default. As a consequence, upon a later creation of the test or test_* databases, these databases have less restricted access rights than is default for new databases. Additionally, when running benchmarks, the run-all-tests script no longer works out of the box with example parameters. You need to create a test database before running the tests and specify the database name in the --database parameter. If the parameter is not specified, test is taken by default but you need to make sure the test database exists. mariadb , mysql , postgresql components Red Hat Software Collections contains the MySQL 8.0 , MariaDB 10.3 , MariaDB 10.5 , PostgreSQL 10 , PostgreSQL 12 , and PostgreSQL 13 database servers. The core Red Hat Enterprise Linux 7 provides earlier versions of the MariaDB and PostgreSQL databases (client library and daemon). Client libraries are also used in database connectors for dynamic languages, libraries, and so on. The client library packaged in the Red Hat Software Collections database packages in the PostgreSQL component is not supposed to be used, as it is included only for purposes of server utilities and the daemon. Users are instead expected to use the system library and the database connectors provided with the core system. A protocol, which is used between the client library and the daemon, is stable across database versions, so, for example, using the PostgreSQL 10 client library with the PostgreSQL 12 or 13 daemon works as expected. mariadb , mysql components MariaDB and MySQL do not make use of the /opt/ provider / collection /root prefix when creating log files. Note that log files are saved in the /var/opt/ provider / collection /log/ directory, not in /opt/ provider / collection /root/var/log/ . 1.6. Other Notes rh-ruby* , rh-python* , rh-php* components Using Software Collections on a read-only NFS has several limitations. Ruby gems cannot be installed while the rh-ruby* Software Collection is on a read-only NFS. Consequently, for example, when the user tries to install the ab gem using the gem install ab command, an error message is displayed, for example: The same problem occurs when the user tries to update or install gems from an external source by running the bundle update or bundle install commands. When installing Python packages on a read-only NFS using the Python Package Index (PyPI), running the pip command fails with an error message similar to this: Installing packages from PHP Extension and Application Repository (PEAR) on a read-only NFS using the pear command fails with the error message: This is an expected behavior. httpd component Language modules for Apache are supported only with the Red Hat Software Collections version of Apache httpd and not with the Red Hat Enterprise Linux system versions of httpd . For example, the mod_wsgi module from the rh-python35 Collection can be used only with the httpd24 Collection. all components Since Red Hat Software Collections 2.0, configuration files, variable data, and runtime data of individual Collections are stored in different directories than in versions of Red Hat Software Collections. coreutils , util-linux , screen components Some utilities, for example, su , login , or screen , do not export environment settings in all cases, which can lead to unexpected results. It is therefore recommended to use sudo instead of su and set the env_keep environment variable in the /etc/sudoers file. Alternatively, you can run commands in a reverse order; for example: instead of When using tools like screen or login , you can use the following command to preserve the environment settings: source /opt/rh/<collection_name>/enable python component When the user tries to install more than one scldevel package from the python27 and rh-python* Software Collections, a transaction check error message is returned. This is an expected behavior because the user can install only one set of the macro files provided by the packages ( %scl_python , %scl_ prefix _python ). php component When the user tries to install more than one scldevel package from the rh-php* Software Collections, a transaction check error message is returned. This is an expected behavior because the user can install only one set of the macro files provided by the packages ( %scl_php , %scl_ prefix _php ). ruby component When the user tries to install more than one scldevel package from the rh-ruby* Software Collections, a transaction check error message is returned. This is an expected behavior because the user can install only one set of the macro files provided by the packages ( %scl_ruby , %scl_ prefix _ruby ). perl component When the user tries to install more than one scldevel package from the rh-perl* Software Collections, a transaction check error message is returned. This is an expected behavior because the user can install only one set of the macro files provided by the packages ( %scl_perl , %scl_ prefix _perl ). nginx component When the user tries to install more than one scldevel package from the rh-nginx* Software Collections, a transaction check error message is returned. This is an expected behavior because the user can install only one set of the macro files provided by the packages ( %scl_nginx , %scl_ prefix _nginx ). python component To mitigate the Web Cache Poisoning CVE-2021-23336 in the Python urllib library, the default separator for the urllib.parse.parse_qsl and urllib.parse.parse_qs functions is being changed from both ampersand ( & ) and semicolon ( ; ) to only an ampersand. This change has been implemented in the python27 and rh-python38 Software Collections with the release of the RHSA-2021:3252 and RHSA-2021:3254 advisories. The change of the default separator is potentially backwards incompatible, therefore Red Hat provides a way to configure the behavior in Python packages where the default separator has been changed. In addition, the affected urllib parsing functions issue a warning if they detect that a customer's application has been affected by the change. For more information, see the Mitigation of Web Cache Poisoning in the Python urllib library (CVE-2021-23336) Knowledgebase article. python component The release of the RHSA-2021:3254 advisory introduces the following change in the rh-python38 Software Collection: To mitigate CVE-2021-29921 , the Python ipaddress module now rejects IPv4 addresses with leading zeros with an AddressValueError: Leading zeros are not permitted error. Customers who rely on the behavior can pre-process their IPv4 address inputs to strip the leading zeros off. For example: To strip the leading zeros off with an explicit loop for readability, use: 1.7. Deprecated Functionality httpd24 component, BZ# 1434053 Previously, in an SSL/TLS configuration requiring name-based SSL virtual host selection, the mod_ssl module rejected requests with a 400 Bad Request error, if the host name provided in the Host: header did not match the host name provided in a Server Name Indication (SNI) header. Such requests are no longer rejected if the configured SSL/TLS security parameters are identical between the selected virtual hosts, in-line with the behavior of upstream mod_ssl . | [
"LimitRequestBody 2147483648",
"superclass mismatch for class Mark (TypeError)",
"gem 'psych' require 'psych' Gem.load_yaml",
"[mysqld] character-set-server=utf8",
"ERROR: While executing gem ... (Errno::EROFS) Read-only file system @ dir_s_mkdir - /opt/rh/rh-ruby22/root/usr/local/share/gems",
"Read-only file system: '/opt/rh/rh-python34/root/usr/lib/python3.4/site-packages/ipython-3.1.0.dist-info'",
"Cannot install, php_dir for channel \"pear.php.net\" is not writeable by the current user",
"su -l postgres -c \"scl enable rh-postgresql94 psql\"",
"scl enable rh-postgresql94 bash su -l postgres -c psql",
">>> def reformat_ip(address): return '.'.join(part.lstrip('0') if part != '0' else part for part in address.split('.')) >>> reformat_ip('0127.0.0.1') '127.0.0.1'",
"def reformat_ip(address): parts = [] for part in address.split('.'): if part != \"0\": part = part.lstrip('0') parts.append(part) return '.'.join(parts)"
] | https://docs.redhat.com/en/documentation/red_hat_software_collections/3/html/3.8_release_notes/chap-RHSCL |
A.10. Shutting down Red Hat Enterprise Linux 6 Guests on a Red Hat Enterprise Linux 7 Host | A.10. Shutting down Red Hat Enterprise Linux 6 Guests on a Red Hat Enterprise Linux 7 Host Installing Red Hat Enterprise Linux 6 guest virtual machines with the Minimal installation option does not install the acpid (acpi daemon). Red Hat Enterprise Linux 7 no longer requires this package, as it has been taken over by systemd . However, Red Hat Enterprise Linux 6 guest virtual machines running on a Red Hat Enterprise Linux 7 host still require it. Without the acpid package, the Red Hat Enterprise Linux 6 guest virtual machine does not shut down when the virsh shutdown command is executed. The virsh shutdown command is designed to gracefully shut down guest virtual machines. Using the virsh shutdown command is easier and safer for system administration. Without graceful shut down with the virsh shutdown command a system administrator must log into a guest virtual machine manually or send the Ctrl - Alt - Del key combination to each guest virtual machine. Note Other virtualized operating systems may be affected by this issue. The virsh shutdown command requires that the guest virtual machine operating system is configured to handle ACPI shut down requests. Many operating systems require additional configurations on the guest virtual machine operating system to accept ACPI shut down requests. Procedure A.4. Workaround for Red Hat Enterprise Linux 6 guests Install the acpid package The acpid service listens and processes ACPI requests. Log into the guest virtual machine and install the acpid package on the guest virtual machine: Enable the acpid service on the guest Set the acpid service to start during the guest virtual machine boot sequence and start the service: Prepare guest domain XML Edit the domain XML file to include the following element. Replace the virtio serial port with org.qemu.guest_agent.0 and use your guest's name instead of the one shown. In this example, the guest is guest1. Remember to save the file. <channel type='unix'> <source mode='bind' path='/var/lib/libvirt/qemu/guest1.agent'/> <target type='virtio' name='org.qemu.guest_agent.0'/> </channel> Figure A.1. Guest XML replacement Install the QEMU guest agent Install the QEMU guest agent (QEMU-GA) and start the service as directed in the Red Hat Enterprise Linux 6 Virtualization Administration Guide . Shut down the guest List the known guest virtual machines so you can retrieve the name of the one you want to shutdown. Shut down the guest virtual machine. Wait a few seconds for the guest virtual machine to shut down. Verify it is shutdown. Start the guest virtual machine named guest1 , with the XML file you edited. Shut down the acpi in the guest1 guest virtual machine. List all the guest virtual machines again, guest1 should still be on the list, and it should indicate it is shut off. Start the guest virtual machine named guest1 , with the XML file you edited. Shut down the guest1 guest virtual machine guest agent. List the guest virtual machines. guest1 should still be on the list, and it should indicate it is shut off. The guest virtual machine will shut down using the virsh shutdown command for the consecutive shutdowns, without using the workaround described above. In addition to the method described above, a guest can be automatically shutdown, by stopping the libvirt-guests service. See Section A.11, "Optional Workaround to Allow for Graceful Shutdown" for more information on this method. | [
"yum install acpid",
"chkconfig acpid on service acpid start",
"<channel type='unix'> <source mode='bind' path='/var/lib/libvirt/qemu/guest1.agent'/> <target type='virtio' name='org.qemu.guest_agent.0'/> </channel>",
"virsh list --all Id Name State ---------------------------------- 14 guest1 running",
"virsh shutdown guest1 guest virtual machine guest1 is being shutdown",
"virsh list --all Id Name State ---------------------------------- 14 guest1 shut off",
"virsh start guest1",
"virsh shutdown --mode acpi guest1",
"virsh list --all Id Name State ---------------------------------- 14 guest1 shut off",
"virsh start guest1",
"virsh shutdown --mode agent guest1",
"virsh list --all Id Name State ---------------------------------- guest1 shut off"
] | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/virtualization_deployment_and_administration_guide/sect-Shutting_down_rebooting_and_force_shutdown_of_a_guest_virtual_machine-Shutting_down_RednbspHat_EnterprisenbspLinuxnbsp6_guests_on_a_RednbspHat_EnterprisenbspLinuxnbsp7_host |
Getting started | Getting started OpenShift Container Platform 4.10 Getting started in OpenShift Container Platform Red Hat OpenShift Documentation Team | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.10/html/getting_started/index |
Chapter 4. AMQP | Chapter 4. AMQP AMQP is an open internet protocol for reliably sending and receiving messages. It is supported by multiple software vendors and major institutions. AMQP 1.0 became an OASIS standard in 2012 and an ISO standard in 2014. A framed protocol with session multiplexing Supports peer-to-peer and client-server connections Provides a standard type system for lossless data exchange Offers flow control, heartbeating, and resource limits for increased reliability in distributed systems Uses a space-efficient binary encoding and pipelining to reduce latency 4.1. AMQP delivery guarantees The AMQP model for settlement is based on the lifecycle of a message delivery. At each end of a link, an entity representing a message transfer is created, it exists for some period of time, and finally it is "settled", meaning it can be forgotten. There are four events of interest in the combined lifecycle of a delivery. The delivery is created at the sender. The delivery is created at the receiver. The delivery is settled at the sender. The delivery is settled at the receiver. Because the sender and receiver are operating concurrently, these events can occur in various orders, and the order of these events results in differing message delivery guarantees. At-most-once delivery At-most-once delivery is also known as "presettled" or "fire and forget" delivery. The delivery is created at the sender. The delivery is settled at the sender. The delivery is created at the receiver. The delivery is settled at the receiver. In this configuration the sender settles (that is, forgets) the delivery before it reaches the receiver, and if anything happens to the delivery in flight, the sender has no basis for resending. This mode is suited to applications where temporary message loss is acceptable, such as for periodic sensor data, or when the application itself can detect the failure and resend. At-least-once delivery The delivery is created at the sender. The delivery is created at the receiver. The delivery is settled at the receiver. The delivery is settled at the sender. In this configuration, the receiver settles the delivery when it has received it, and the sender settles once it sees the receiver has settled. If anything happens to the delivery in flight, the sender can resend. The receiver, however, has already forgotten the delivery, so a resend will result in a duplicate message delivery. Applications can use unique message IDs to filter out duplicates. | null | https://docs.redhat.com/en/documentation/red_hat_amq/2021.q3/html/amq_clients_overview/amqp |
Chapter 62. Red Hat Process Automation Manager versioning | Chapter 62. Red Hat Process Automation Manager versioning Red Hat Process Automation Manager versions are designated with a numerical Major.Minor.Patch format, such as 7.5.1 . In this example, the major release is 7.x.x , the minor release is 7.5.x , and the patch release is 7.5.1 . Major releases often require data migration, while minor release upgrades and patch updates are typically managed with update tools provided with the Red Hat Process Automation Manager release artifacts. The following are the general types of releases for Red Hat Process Automation Manager: Major release migrations Major releases of Red Hat Process Automation Manager include substantial enhancements, security updates, bug fixes, and possibly redesigned features and functions. Data migration is typically required when an application is moved from one major release to another major release, such as from Red Hat JBoss BPM Suite 6.4.x to Red Hat Process Automation Manager 7.0. Automated migration tools are often provided with new major versions of Red Hat Process Automation Manager to facilitate migration, but some manual effort is likely required for certain data and configurations. The supported migration paths are specified in product announcements and documentation. For example migration instructions, see Migrating from Red Hat JBoss BPM Suite 6.4 to Red Hat Process Automation Manager 7.0 . Minor release upgrades Minor releases of Red Hat Process Automation Manager include enhancements, security updates, and bug fixes. Data migration may be required when an application is moved from one minor release to another minor release, such as from Red Hat Process Automation Manager 7.5.x to 7.6. Automated update tools are often provided with both patch updates and new minor versions of Red Hat Process Automation Manager to facilitate updating certain components of Red Hat Process Automation Manager, such as Business Central, KIE Server, and the headless Process Automation Manager controller. Other Red Hat Process Automation Manager artifacts, such as the decision engine and standalone Business Central, are released as new artifacts with each minor release and you must reinstall them to apply the update. Before you upgrade to a new minor release, apply the latest patch update to your current version of Red Hat Process Automation Manager to ensure that the minor release upgrade is successful. Patch updates Patch updates of Red Hat Process Automation Manager include the latest security updates and bug fixes. Scheduled patch updates contain all previously released patch updates for that minor version of the product, so you do not need to apply each patch update incrementally in order to apply the latest update. For example, you can update Red Hat Process Automation Manager 7.5.0 or 7.5.1 to Red Hat Process Automation Manager 7.5.2. However, for optimal Red Hat Process Automation Manager performance, apply product updates as they become available. Occasionally, Red Hat might release unscheduled patch updates outside the normal update cycle of the existing product. These may include security or other updates provided by Red Hat Global Support Services (GSS) to fix specific issues, and may not be cumulative updates. Automated update tools are often provided with both patch updates and new minor versions of Red Hat Process Automation Manager to facilitate updating certain components of Red Hat Process Automation Manager, such as Business Central, KIE Server, and the headless Process Automation Manager controller. Other Red Hat Process Automation Manager artifacts, such as the decision engine and standalone Business Central, are released as new artifacts with each minor release and you must reinstall them to apply the update. To ensure optimal transition between releases and to keep your Red Hat Process Automation Manager distribution current with the latest enhancements and fixes, apply new product releases and updates to Red Hat Process Automation Manager as they become available in the Red Hat Customer Portal. Consider also enabling product notifications in the Red Hat Customer Portal. | null | https://docs.redhat.com/en/documentation/red_hat_process_automation_manager/7.13/html/installing_and_configuring_red_hat_process_automation_manager/product-versioning-con_patching-upgrading |
OpenID Connect (OIDC) authentication | OpenID Connect (OIDC) authentication Red Hat build of Quarkus 3.15 Red Hat Customer Content Services | null | https://docs.redhat.com/en/documentation/red_hat_build_of_quarkus/3.15/html/openid_connect_oidc_authentication/index |
12. Desktop | 12. Desktop nautilus-open-terminal behavior change The nautilus-open-terminal package provides a right-click "Open Terminal" option to open a new terminal window in the current directory. Previously, when this option was chosen from the Desktop, the new terminal window location defaulted to the user's home directory. However, in Red Hat Enterprise Linux 6, the default behavior opens the Desktop directory (i.e. ~/Desktop/ ). To enable the behavior, use the following command to set the desktop_opens_home_dir GConf boolean to true: Adobe Flash and Adobe Acrobat Reader on 64-Bit The 64-bit Red Hat Enterprise Linux Supplementary CD contains the 32-bit versions of Adobe Acrobat Reader and Adobe Flash for use on the 64-bit architecture. To use these browser plugins correctly, the nspluginwrapper.i686 and alsa-plugins-pulseaudio.i686 packages must be installed prior to the installation of the plugins. gnome-packagekit architecture filter By default, gnome-packagekit uses a filter to hide packages that are not the same architecture as the system. Consequently, when installing packages for other architectures (e.g. the 32-bit versions of acroread and flash-plugin on the 64-bit architecture) the "Only native filters" from the Filters menu must be unchecked for these packages to be visible. 12.1. Known Issues When enabled, fingerprint authentication is the default authentication method to unlock a workstation, even if the fingerprint reader device is not accessible. However, after a 30 second wait, password authentication will become available. ATI RN50/ES1000 graphics devices have limited Video RAM (VRAM) and are restricted to an 8-bit color depth for the text console. Consequently, the graphical boot screen is unavailable on systems using these graphics devices. On the GNOME desktop, the CD/DVD burning utility brasero conflicts with the automounting feature in Nautilus. Consequently, the following error message will be displayed when brasero attempts to verify the checksum of the disc: In most cases, the data is still written to the disc. The system-config-users tool cannot always detect if a home directory can be created correctly. Consequently, system-config-users might fail silently when attempting to create a home directory on some file systems (e.g. home directories located beneath an autofs mount-point). Typically, when this issue is encountered, the user account itself is created, but the creation of the home directory fails. To create a user with an auto-mounted home directory, create the home directory manually before creating the user in system-config-users. Evolution's IMAP backend only refreshes folder contents under the following circumstances: when the user switches into or out of a folder, when the auto-refresh period expires, or when the user manually refreshes a folder (i.e. using the menu item Folder > Refresh ). Consequently, when replying to a message in the Sent folder, the new message does not immediately appear in the Sent folder. To see the message, force a refresh using one of the methods describe above. Not all languages have predefined default input method engines. Consequently, in some languages, ibus will not have an input method engine configured. To work around this issue, add an input method using the Input Method configuration dialog ( System > Preferences > Input Method Using the im-chooser tool, XIM cannot be disabled as the default GTK immodule. Disabling input-methods using im-chooser and restarting the desktop session will still result in GTK applications using the XIM immodule. Consequently, using the Ctrl+Shift+U key combination to the directly input of Unicode characters from their hexidecimal code will not work. To work around this issue, use im-chooser to enable ibus. Enabling ibus permits gtk-im-context-simple's Unicode input and compose sequences to be used. The hardware mute button on Lenovo ThinkPad X200 notebooks does not work. Note, however, that the volume down and volume up buttons function correctly. The clock applet in the GNOME panel has a default location of Boston, USA. Additional locations are added by via the applet's preferences dialog. Additionally, to change the default location, left-click the applet, hover over the desired location in the "Locations" section, and click the "Set..." button that appears. In some multi-monitor configurations (e.g. dual monitors with both rotated), the cursor confinement code produces incorrect results. For example, the cursor may be permitted to disappear offscreen when it should not, or be prevented from entering some areas where it should be allowed to go. Currently, the only work around to this issue is to disable monitor rotation. ATI RN50/ES1000 graphics devices have a lower number of hardware controllers than output connectors. Due to a defect in the graphical boot system, this type of configuration results in a blank display. Consequently, users of systems with these ATI graphics devices will experience prolonged (potentially up to 2 minutes or longer) blank screens during boot up and shutdown. Once the boot process completes and a login prompt is available, the display will function as expected. The prolonged blank screen can be avoided by removing "rhgb" from the list of boot parameters on the kernel command line in /etc/grub.conf If a Russian keyboard is chosen during system installation, the login screen is configured to use Russian input for user names and passwords by default. However, pressing Left Shift and Right Shift does not cause the input to change to ASCII mode. Consequently, the user cannot log in. To work around this issue, run the following sequence, as root, post installation: For KMS drivers, the syntax is: "connector", which is optional maps to the name of the connector as listed in /sys/class/drm/card0. For example: This device has connectors named LVDS-1 and VGA-1. If no connector is specified the requested mode will apply to all connectors. Mode strings may be of the form: Parts inside <> are mandatory, parts inside [] are optional. R requests the use of the CVT reduced-blanking formula, applicable for some digital displays; otherwise GTF is used. i requests an interlaced mode. e forces the output to be enabled even if it appears to be disconnected; d forces the output to be disabled. For DVI connections, D forces the use of the digital signal path instead of analog; on other connectors it has no effect. Only one of e, d, or D may be given. Under some circumstances, the Add/Remove Software (gpk-application) graphical user interface does not display Supplementary groups or packages the Supplementary group is chosen. To work around this, use the System>Refresh Package Lists option to refresh the package lists. | [
"gconftool-2 -s /apps/nautilus-open-terminal/desktop_opens_home_dir --type=bool true",
"Error while burning: You do not have the required permissions to use this drive",
". /etc/sysconfig/keyboard; echo USDLAYOUT | grep -q \",us\" && gconftool-2 --direct --config-source xml:readwrite:/var/lib/gdm/.gconf --set /apps/gdm/simple-greeter/recent-layouts --type list --list-type string USD(echo USDLAYOUT | awk -F, '{ print \"[\" USD2 \",\" USD1 \"]\"; }') && echo \"DONE\"",
"video=[connector:]mode",
"~% ls /sys/class/drm/card0 card0-LVDS-1 card0-VGA-1 dev device power subsystem uevent",
"<xres>x<yres>[R][-<bpp>][@<refresh>][i][eDd]"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/6.0_technical_notes/desktop |
1.2. Comparing Static to Dynamic IP Addressing | 1.2. Comparing Static to Dynamic IP Addressing Static IP addressing When a device is assigned a static IP address, the address does not change over time unless changed manually. It is recommended to use static IP addressing if you want: To ensure network address consistency for servers such as DNS , and authentication servers. To use out-of-band management devices that work independently of other network infrastructure. All the configuration tools listed in Section 3.1, "Selecting Network Configuration Methods" allow assigning static IP addresses manually. The nmcli tool is also suitable, described in Section 3.3.8, "Adding and Configuring a Static Ethernet Connection with nmcli" . For more information on automated configuration and management, see the OpenLMI chapter in the Red Hat Enterprise Linux 7 System Administrators Guide . The Red Hat Enterprise Linux 7 Installation Guide documents the use of a Kickstart file which can also be used for automating the assignment of network settings. Dynamic IP addressing When a device is assigned a dynamic IP address, the address changes over time. For this reason, it is recommended for devices that connect to the network occasionally because IP address might be changed after rebooting the machine. Dynamic IP addresses are more flexible, easier to set up and administer. The dynamic host control protocol ( DHCP ) is a traditional method of dynamically assigning network configurations to hosts. See Section 14.1, "Why Use DHCP?" for more information. You can also use the nmcli tool, described in Section 3.3.7, "Adding and Configuring a Dynamic Ethernet Connection with nmcli" . Note There is no strict rule defining when to use static or dynamic IP address. It depends on user's needs, preferences and the network environment. By default, NetworkManager calls the DHCP client, dhclient . | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/networking_guide/sec-comparing_static_to_dynamic_ip_addressing |
Chapter 8. Operator SDK | Chapter 8. Operator SDK 8.1. Installing the Operator SDK CLI The Operator SDK provides a command-line interface (CLI) tool that Operator developers can use to build, test, and deploy an Operator. You can install the Operator SDK CLI on your workstation so that you are prepared to start authoring your own Operators. Operator authors with cluster administrator access to a Kubernetes-based cluster, such as OpenShift Container Platform, can use the Operator SDK CLI to develop their own Operators based on Go, Ansible, Java, or Helm. Kubebuilder is embedded into the Operator SDK as the scaffolding solution for Go-based Operators, which means existing Kubebuilder projects can be used as is with the Operator SDK and continue to work. See Developing Operators for full documentation on the Operator SDK. Note OpenShift Container Platform 4.15 supports Operator SDK 1.31.0. 8.1.1. Installing the Operator SDK CLI on Linux You can install the OpenShift SDK CLI tool on Linux. Prerequisites Go v1.19+ docker v17.03+, podman v1.9.3+, or buildah v1.7+ Procedure Navigate to the OpenShift mirror site . From the latest 4.15 directory, download the latest version of the tarball for Linux. Unpack the archive: USD tar xvf operator-sdk-v1.31.0-ocp-linux-x86_64.tar.gz Make the file executable: USD chmod +x operator-sdk Move the extracted operator-sdk binary to a directory that is on your PATH . Tip To check your PATH : USD echo USDPATH USD sudo mv ./operator-sdk /usr/local/bin/operator-sdk Verification After you install the Operator SDK CLI, verify that it is available: USD operator-sdk version Example output operator-sdk version: "v1.31.0-ocp", ... 8.1.2. Installing the Operator SDK CLI on macOS You can install the OpenShift SDK CLI tool on macOS. Prerequisites Go v1.19+ docker v17.03+, podman v1.9.3+, or buildah v1.7+ Procedure For the amd64 and arm64 architectures, navigate to the OpenShift mirror site for the amd64 architecture and OpenShift mirror site for the arm64 architecture respectively. From the latest 4.15 directory, download the latest version of the tarball for macOS. Unpack the Operator SDK archive for amd64 architecture by running the following command: USD tar xvf operator-sdk-v1.31.0-ocp-darwin-x86_64.tar.gz Unpack the Operator SDK archive for arm64 architecture by running the following command: USD tar xvf operator-sdk-v1.31.0-ocp-darwin-aarch64.tar.gz Make the file executable by running the following command: USD chmod +x operator-sdk Move the extracted operator-sdk binary to a directory that is on your PATH by running the following command: Tip Check your PATH by running the following command: USD echo USDPATH USD sudo mv ./operator-sdk /usr/local/bin/operator-sdk Verification After you install the Operator SDK CLI, verify that it is available by running the following command:: USD operator-sdk version Example output operator-sdk version: "v1.31.0-ocp", ... 8.2. Operator SDK CLI reference The Operator SDK command-line interface (CLI) is a development kit designed to make writing Operators easier. Operator SDK CLI syntax USD operator-sdk <command> [<subcommand>] [<argument>] [<flags>] See Developing Operators for full documentation on the Operator SDK. 8.2.1. bundle The operator-sdk bundle command manages Operator bundle metadata. 8.2.1.1. validate The bundle validate subcommand validates an Operator bundle. Table 8.1. bundle validate flags Flag Description -h , --help Help output for the bundle validate subcommand. --index-builder (string) Tool to pull and unpack bundle images. Only used when validating a bundle image. Available options are docker , which is the default, podman , or none . --list-optional List all optional validators available. When set, no validators are run. --select-optional (string) Label selector to select optional validators to run. When run with the --list-optional flag, lists available optional validators. 8.2.2. cleanup The operator-sdk cleanup command destroys and removes resources that were created for an Operator that was deployed with the run command. Table 8.2. cleanup flags Flag Description -h , --help Help output for the run bundle subcommand. --kubeconfig (string) Path to the kubeconfig file to use for CLI requests. -n , --namespace (string) If present, namespace in which to run the CLI request. --timeout <duration> Time to wait for the command to complete before failing. The default value is 2m0s . 8.2.3. completion The operator-sdk completion command generates shell completions to make issuing CLI commands quicker and easier. Table 8.3. completion subcommands Subcommand Description bash Generate bash completions. zsh Generate zsh completions. Table 8.4. completion flags Flag Description -h, --help Usage help output. For example: USD operator-sdk completion bash Example output # bash completion for operator-sdk -*- shell-script -*- ... # ex: ts=4 sw=4 et filetype=sh 8.2.4. create The operator-sdk create command is used to create, or scaffold , a Kubernetes API. 8.2.4.1. api The create api subcommand scaffolds a Kubernetes API. The subcommand must be run in a project that was initialized with the init command. Table 8.5. create api flags Flag Description -h , --help Help output for the run bundle subcommand. 8.2.5. generate The operator-sdk generate command invokes a specific generator to generate code or manifests. 8.2.5.1. bundle The generate bundle subcommand generates a set of bundle manifests, metadata, and a bundle.Dockerfile file for your Operator project. Note Typically, you run the generate kustomize manifests subcommand first to generate the input Kustomize bases that are used by the generate bundle subcommand. However, you can use the make bundle command in an initialized project to automate running these commands in sequence. Table 8.6. generate bundle flags Flag Description --channels (string) Comma-separated list of channels to which the bundle belongs. The default value is alpha . --crds-dir (string) Root directory for CustomResoureDefinition manifests. --default-channel (string) The default channel for the bundle. --deploy-dir (string) Root directory for Operator manifests, such as deployments and RBAC. This directory is different from the directory passed to the --input-dir flag. -h , --help Help for generate bundle --input-dir (string) Directory from which to read an existing bundle. This directory is the parent of your bundle manifests directory and is different from the --deploy-dir directory. --kustomize-dir (string) Directory containing Kustomize bases and a kustomization.yaml file for bundle manifests. The default path is config/manifests . --manifests Generate bundle manifests. --metadata Generate bundle metadata and Dockerfile. --output-dir (string) Directory to write the bundle to. --overwrite Overwrite the bundle metadata and Dockerfile if they exist. The default value is true . --package (string) Package name for the bundle. -q , --quiet Run in quiet mode. --stdout Write bundle manifest to standard out. --version (string) Semantic version of the Operator in the generated bundle. Set only when creating a new bundle or upgrading the Operator. Additional resources See Bundling an Operator and deploying with Operator Lifecycle Manager for a full procedure that includes using the make bundle command to call the generate bundle subcommand. 8.2.5.2. kustomize The generate kustomize subcommand contains subcommands that generate Kustomize data for the Operator. 8.2.5.2.1. manifests The generate kustomize manifests subcommand generates or regenerates Kustomize bases and a kustomization.yaml file in the config/manifests directory, which are used to build bundle manifests by other Operator SDK commands. This command interactively asks for UI metadata, an important component of manifest bases, by default unless a base already exists or you set the --interactive=false flag. Table 8.7. generate kustomize manifests flags Flag Description --apis-dir (string) Root directory for API type definitions. -h , --help Help for generate kustomize manifests . --input-dir (string) Directory containing existing Kustomize files. --interactive When set to false , if no Kustomize base exists, an interactive command prompt is presented to accept custom metadata. --output-dir (string) Directory where to write Kustomize files. --package (string) Package name. -q , --quiet Run in quiet mode. 8.2.6. init The operator-sdk init command initializes an Operator project and generates, or scaffolds , a default project directory layout for the given plugin. This command writes the following files: Boilerplate license file PROJECT file with the domain and repository Makefile to build the project go.mod file with project dependencies kustomization.yaml file for customizing manifests Patch file for customizing images for manager manifests Patch file for enabling Prometheus metrics main.go file to run Table 8.8. init flags Flag Description --help, -h Help output for the init command. --plugins (string) Name and optionally version of the plugin to initialize the project with. Available plugins are ansible.sdk.operatorframework.io/v1 , go.kubebuilder.io/v2 , go.kubebuilder.io/v3 , and helm.sdk.operatorframework.io/v1 . --project-version Project version. Available values are 2 and 3-alpha , which is the default. 8.2.7. run The operator-sdk run command provides options that can launch the Operator in various environments. 8.2.7.1. bundle The run bundle subcommand deploys an Operator in the bundle format with Operator Lifecycle Manager (OLM). Table 8.9. run bundle flags Flag Description --index-image (string) Index image in which to inject a bundle. The default image is quay.io/operator-framework/upstream-opm-builder:latest . --install-mode <install_mode_value> Install mode supported by the cluster service version (CSV) of the Operator, for example AllNamespaces or SingleNamespace . --timeout <duration> Install timeout. The default value is 2m0s . --kubeconfig (string) Path to the kubeconfig file to use for CLI requests. -n , --namespace (string) If present, namespace in which to run the CLI request. --security-context-config <security_context> Specifies the security context to use for the catalog pod. Allowed values include restricted and legacy . The default value is legacy . [1] -h , --help Help output for the run bundle subcommand. The restricted security context is not compatible with the default namespace. To configure your Operator's pod security admission in your production environment, see "Complying with pod security admission". For more information about pod security admission, see "Understanding and managing pod security admission". Additional resources See Operator group membership for details on possible install modes. 8.2.7.2. bundle-upgrade The run bundle-upgrade subcommand upgrades an Operator that was previously installed in the bundle format with Operator Lifecycle Manager (OLM). Table 8.10. run bundle-upgrade flags Flag Description --timeout <duration> Upgrade timeout. The default value is 2m0s . --kubeconfig (string) Path to the kubeconfig file to use for CLI requests. -n , --namespace (string) If present, namespace in which to run the CLI request. --security-context-config <security_context> Specifies the security context to use for the catalog pod. Allowed values include restricted and legacy . The default value is legacy . [1] -h , --help Help output for the run bundle subcommand. The restricted security context is not compatible with the default namespace. To configure your Operator's pod security admission in your production environment, see "Complying with pod security admission". For more information about pod security admission, see "Understanding and managing pod security admission". 8.2.8. scorecard The operator-sdk scorecard command runs the scorecard tool to validate an Operator bundle and provide suggestions for improvements. The command takes one argument, either a bundle image or directory containing manifests and metadata. If the argument holds an image tag, the image must be present remotely. Table 8.11. scorecard flags Flag Description -c , --config (string) Path to scorecard configuration file. The default path is bundle/tests/scorecard/config.yaml . -h , --help Help output for the scorecard command. --kubeconfig (string) Path to kubeconfig file. -L , --list List which tests are available to run. -n , --namespace (string) Namespace in which to run the test images. -o , --output (string) Output format for results. Available values are text , which is the default, and json . --pod-security <security_context> Option to run scorecard with the specified security context. Allowed values include restricted and legacy . The default value is legacy . [1] -l , --selector (string) Label selector to determine which tests are run. -s , --service-account (string) Service account to use for tests. The default value is default . -x , --skip-cleanup Disable resource cleanup after tests are run. -w , --wait-time <duration> Seconds to wait for tests to complete, for example 35s . The default value is 30s . The restricted security context is not compatible with the default namespace. To configure your Operator's pod security admission in your production environment, see "Complying with pod security admission". For more information about pod security admission, see "Understanding and managing pod security admission". Additional resources See Validating Operators using the scorecard tool for details about running the scorecard tool. | [
"tar xvf operator-sdk-v1.31.0-ocp-linux-x86_64.tar.gz",
"chmod +x operator-sdk",
"echo USDPATH",
"sudo mv ./operator-sdk /usr/local/bin/operator-sdk",
"operator-sdk version",
"operator-sdk version: \"v1.31.0-ocp\",",
"tar xvf operator-sdk-v1.31.0-ocp-darwin-x86_64.tar.gz",
"tar xvf operator-sdk-v1.31.0-ocp-darwin-aarch64.tar.gz",
"chmod +x operator-sdk",
"echo USDPATH",
"sudo mv ./operator-sdk /usr/local/bin/operator-sdk",
"operator-sdk version",
"operator-sdk version: \"v1.31.0-ocp\",",
"operator-sdk <command> [<subcommand>] [<argument>] [<flags>]",
"operator-sdk completion bash",
"bash completion for operator-sdk -*- shell-script -*- ex: ts=4 sw=4 et filetype=sh"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.15/html/cli_tools/operator-sdk |
Chapter 10. Using images | Chapter 10. Using images 10.1. Using images overview Use the following topics to discover the different Source-to-Image (S2I), database, and other container images that are available for OpenShift Container Platform users. Red Hat official container images are provided in the Red Hat Registry at registry.redhat.io . OpenShift Container Platform's supported S2I, database, and Jenkins images are provided in the openshift4 repository in the Red Hat Quay Registry. For example, quay.io/openshift-release-dev/ocp-v4.0-<address> is the name of the OpenShift Application Platform image. The xPaaS middleware images are provided in their respective product repositories on the Red Hat Registry but suffixed with a -openshift . For example, registry.redhat.io/jboss-eap-6/eap64-openshift is the name of the JBoss EAP image. All Red Hat supported images covered in this section are described in the Container images section of the Red Hat Ecosystem Catalog . For every version of each image, you can find details on its contents and usage. Browse or search for the image that interests you. Important The newer versions of container images are not compatible with earlier versions of OpenShift Container Platform. Verify and use the correct version of container images, based on your version of OpenShift Container Platform. 10.2. Source-to-image You can use the Red Hat Software Collections images as a foundation for applications that rely on specific runtime environments such as Node.js, Perl, or Python. You can use the Red Hat Java Source-to-Image for OpenShift documentation as a reference for runtime environments that use Java. Special versions of some of these runtime base images are referred to as Source-to-Image (S2I) images. With S2I images, you can insert your code into a base image environment that is ready to run that code. S2I images include: .NET Java Go Node.js Perl PHP Python Ruby S2I images are available for you to use directly from the OpenShift Container Platform web console by following procedure: Log in to the OpenShift Container Platform web console using your login credentials. The default view for the OpenShift Container Platform web console is the Administrator perspective. Use the perspective switcher to switch to the Developer perspective. In the +Add view, use the Project drop-down list to select an existing project or create a new project. Click All services in the Developer Catalog tile. Click Builder Images under Type to see the available S2I images. S2I images are also available though the Cluster Samples Operator . 10.2.1. Source-to-image build process overview Source-to-image (S2I) produces ready-to-run images by injecting source code into a container that prepares that source code to be run. It performs the following steps: Runs the FROM <builder image> command Copies the source code to a defined location in the builder image Runs the assemble script in the builder image Sets the run script in the builder image as the default command Buildah then creates the container image. 10.2.2. Additional resources Configuring the Cluster Samples Operator Using build strategies Troubleshooting the Source-to-Image process Creating images from source code with source-to-image About testing source-to-image images Creating images from source code with source-to-image 10.3. Customizing source-to-image images Source-to-image (S2I) builder images include assemble and run scripts, but the default behavior of those scripts is not suitable for all users. You can customize the behavior of an S2I builder that includes default scripts. 10.3.1. Invoking scripts embedded in an image Builder images provide their own version of the source-to-image (S2I) scripts that cover the most common use-cases. If these scripts do not fulfill your needs, S2I provides a way of overriding them by adding custom ones in the .s2i/bin directory. However, by doing this, you are completely replacing the standard scripts. In some cases, replacing the scripts is acceptable, but, in other scenarios, you can run a few commands before or after the scripts while retaining the logic of the script provided in the image. To reuse the standard scripts, you can create a wrapper script that runs custom logic and delegates further work to the default scripts in the image. Procedure Look at the value of the io.openshift.s2i.scripts-url label to determine the location of the scripts inside of the builder image: USD podman inspect --format='{{ index .Config.Labels "io.openshift.s2i.scripts-url" }}' wildfly/wildfly-centos7 Example output image:///usr/libexec/s2i You inspected the wildfly/wildfly-centos7 builder image and found out that the scripts are in the /usr/libexec/s2i directory. Create a script that includes an invocation of one of the standard scripts wrapped in other commands: .s2i/bin/assemble script #!/bin/bash echo "Before assembling" /usr/libexec/s2i/assemble rc=USD? if [ USDrc -eq 0 ]; then echo "After successful assembling" else echo "After failed assembling" fi exit USDrc This example shows a custom assemble script that prints the message, runs the standard assemble script from the image, and prints another message depending on the exit code of the assemble script. Important When wrapping the run script, you must use exec for invoking it to ensure signals are handled properly. The use of exec also precludes the ability to run additional commands after invoking the default image run script. .s2i/bin/run script #!/bin/bash echo "Before running application" exec /usr/libexec/s2i/run | [
"podman inspect --format='{{ index .Config.Labels \"io.openshift.s2i.scripts-url\" }}' wildfly/wildfly-centos7",
"image:///usr/libexec/s2i",
"#!/bin/bash echo \"Before assembling\" /usr/libexec/s2i/assemble rc=USD? if [ USDrc -eq 0 ]; then echo \"After successful assembling\" else echo \"After failed assembling\" fi exit USDrc",
"#!/bin/bash echo \"Before running application\" exec /usr/libexec/s2i/run"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.18/html/images/using-images |
Chapter 3. Planning your environment according to object maximums | Chapter 3. Planning your environment according to object maximums Consider the following tested object maximums when you plan your OpenShift Container Platform cluster. These guidelines are based on the largest possible cluster. For smaller clusters, the maximums are lower. There are many factors that influence the stated thresholds, including the etcd version or storage data format. In most cases, exceeding these numbers results in lower overall performance. It does not necessarily mean that the cluster will fail. Warning Clusters that experience rapid change, such as those with many starting and stopping pods, can have a lower practical maximum size than documented. 3.1. OpenShift Container Platform tested cluster maximums for major releases Note Red Hat does not provide direct guidance on sizing your OpenShift Container Platform cluster. This is because determining whether your cluster is within the supported bounds of OpenShift Container Platform requires careful consideration of all the multidimensional factors that limit the cluster scale. OpenShift Container Platform supports tested cluster maximums rather than absolute cluster maximums. Not every combination of OpenShift Container Platform version, control plane workload, and network plugin are tested, so the following table does not represent an absolute expectation of scale for all deployments. It might not be possible to scale to a maximum on all dimensions simultaneously. The table contains tested maximums for specific workload and deployment configurations, and serves as a scale guide as to what can be expected with similar deployments. Maximum type 4.x tested maximum Number of nodes 2,000 [1] Number of pods [2] 150,000 Number of pods per node 2,500 [3][4] Number of pods per core There is no default value. Number of namespaces [5] 10,000 Number of builds 10,000 (Default pod RAM 512 Mi) - Source-to-Image (S2I) build strategy Number of pods per namespace [6] 25,000 Number of routes and back ends per Ingress Controller 2,000 per router Number of secrets 80,000 Number of config maps 90,000 Number of services [7] 10,000 Number of services per namespace 5,000 Number of back-ends per service 5,000 Number of deployments per namespace [6] 2,000 Number of build configs 12,000 Number of custom resource definitions (CRD) 512 [8] Pause pods were deployed to stress the control plane components of OpenShift Container Platform at 2000 node scale. The ability to scale to similar numbers will vary depending upon specific deployment and workload parameters. The pod count displayed here is the number of test pods. The actual number of pods depends on the application's memory, CPU, and storage requirements. This was tested on a cluster with 31 servers: 3 control planes, 2 infrastructure nodes, and 26 worker nodes. If you need 2,500 user pods, you need both a hostPrefix of 20 , which allocates a network large enough for each node to contain more than 2000 pods, and a custom kubelet config with maxPods set to 2500 . For more information, see Running 2500 pods per node on OCP 4.13 . The maximum tested pods per node is 2,500 for clusters using the OVNKubernetes network plugin. The maximum tested pods per node for the OpenShiftSDN network plugin is 500 pods. When there are a large number of active projects, etcd might suffer from poor performance if the keyspace grows excessively large and exceeds the space quota. Periodic maintenance of etcd, including defragmentation, is highly recommended to free etcd storage. There are several control loops in the system that must iterate over all objects in a given namespace as a reaction to some changes in state. Having a large number of objects of a given type in a single namespace can make those loops expensive and slow down processing given state changes. The limit assumes that the system has enough CPU, memory, and disk to satisfy the application requirements. Each service port and each service back-end has a corresponding entry in iptables . The number of back-ends of a given service impact the size of the Endpoints objects, which impacts the size of data that is being sent all over the system. OpenShift Container Platform has a limit of 512 total custom resource definitions (CRD), including those installed by OpenShift Container Platform, products integrating with OpenShift Container Platform and user-created CRDs. If there are more than 512 CRDs created, then there is a possibility that oc command requests might be throttled. 3.1.1. Example scenario As an example, 500 worker nodes (m5.2xl) were tested, and are supported, using OpenShift Container Platform 4.13, the OVN-Kubernetes network plugin, and the following workload objects: 200 namespaces, in addition to the defaults 60 pods per node; 30 server and 30 client pods (30k total) 57 image streams/ns (11.4k total) 15 services/ns backed by the server pods (3k total) 15 routes/ns backed by the services (3k total) 20 secrets/ns (4k total) 10 config maps/ns (2k total) 6 network policies/ns, including deny-all, allow-from ingress and intra-namespace rules 57 builds/ns The following factors are known to affect cluster workload scaling, positively or negatively, and should be factored into the scale numbers when planning a deployment. For additional information and guidance, contact your sales representative or Red Hat support . Number of pods per node Number of containers per pod Type of probes used (for example, liveness/readiness, exec/http) Number of network policies Number of projects, or namespaces Number of image streams per project Number of builds per project Number of services/endpoints and type Number of routes Number of shards Number of secrets Number of config maps Rate of API calls, or the cluster "churn", which is an estimation of how quickly things change in the cluster configuration. Prometheus query for pod creation requests per second over 5 minute windows: sum(irate(apiserver_request_count{resource="pods",verb="POST"}[5m])) Prometheus query for all API requests per second over 5 minute windows: sum(irate(apiserver_request_count{}[5m])) Cluster node resource consumption of CPU Cluster node resource consumption of memory 3.2. OpenShift Container Platform environment and configuration on which the cluster maximums are tested 3.2.1. AWS cloud platform Node Flavor vCPU RAM(GiB) Disk type Disk size(GiB)/IOS Count Region Control plane/etcd [1] r5.4xlarge 16 128 gp3 220 3 us-west-2 Infra [2] m5.12xlarge 48 192 gp3 100 3 us-west-2 Workload [3] m5.4xlarge 16 64 gp3 500 [4] 1 us-west-2 Compute m5.2xlarge 8 32 gp3 100 3/25/250/500 [5] us-west-2 gp3 disks with a baseline performance of 3000 IOPS and 125 MiB per second are used for control plane/etcd nodes because etcd is latency sensitive. gp3 volumes do not use burst performance. Infra nodes are used to host Monitoring, Ingress, and Registry components to ensure they have enough resources to run at large scale. Workload node is dedicated to run performance and scalability workload generators. Larger disk size is used so that there is enough space to store the large amounts of data that is collected during the performance and scalability test run. Cluster is scaled in iterations and performance and scalability tests are executed at the specified node counts. 3.2.2. IBM Power platform Node vCPU RAM(GiB) Disk type Disk size(GiB)/IOS Count Control plane/etcd [1] 16 32 io1 120 / 10 IOPS per GiB 3 Infra [2] 16 64 gp2 120 2 Workload [3] 16 256 gp2 120 [4] 1 Compute 16 64 gp2 120 2 to 100 [5] io1 disks with 120 / 10 IOPS per GiB are used for control plane/etcd nodes as etcd is I/O intensive and latency sensitive. Infra nodes are used to host Monitoring, Ingress, and Registry components to ensure they have enough resources to run at large scale. Workload node is dedicated to run performance and scalability workload generators. Larger disk size is used so that there is enough space to store the large amounts of data that is collected during the performance and scalability test run. Cluster is scaled in iterations. 3.2.3. IBM Z platform Node vCPU [4] RAM(GiB) [5] Disk type Disk size(GiB)/IOS Count Control plane/etcd [1,2] 8 32 ds8k 300 / LCU 1 3 Compute [1,3] 8 32 ds8k 150 / LCU 2 4 nodes (scaled to 100/250/500 pods per node) Nodes are distributed between two logical control units (LCUs) to optimize disk I/O load of the control plane/etcd nodes as etcd is I/O intensive and latency sensitive. Etcd I/O demand should not interfere with other workloads. Four compute nodes are used for the tests running several iterations with 100/250/500 pods at the same time. First, idling pods were used to evaluate if pods can be instanced. , a network and CPU demanding client/server workload were used to evaluate the stability of the system under stress. Client and server pods were pairwise deployed and each pair was spread over two compute nodes. No separate workload node was used. The workload simulates a microservice workload between two compute nodes. Physical number of processors used is six Integrated Facilities for Linux (IFLs). Total physical memory used is 512 GiB. 3.3. How to plan your environment according to tested cluster maximums Important Oversubscribing the physical resources on a node affects resource guarantees the Kubernetes scheduler makes during pod placement. Learn what measures you can take to avoid memory swapping. Some of the tested maximums are stretched only in a single dimension. They will vary when many objects are running on the cluster. The numbers noted in this documentation are based on Red Hat's test methodology, setup, configuration, and tunings. These numbers can vary based on your own individual setup and environments. While planning your environment, determine how many pods are expected to fit per node: The default maximum number of pods per node is 250. However, the number of pods that fit on a node is dependent on the application itself. Consider the application's memory, CPU, and storage requirements, as described in "How to plan your environment according to application requirements". Example scenario If you want to scope your cluster for 2200 pods per cluster, you would need at least five nodes, assuming that there are 500 maximum pods per node: If you increase the number of nodes to 20, then the pod distribution changes to 110 pods per node: Where: OpenShift Container Platform comes with several system pods, such as SDN, DNS, Operators, and others, which run across every worker node by default. Therefore, the result of the above formula can vary. 3.4. How to plan your environment according to application requirements Consider an example application environment: Pod type Pod quantity Max memory CPU cores Persistent storage apache 100 500 MB 0.5 1 GB node.js 200 1 GB 1 1 GB postgresql 100 1 GB 2 10 GB JBoss EAP 100 1 GB 1 1 GB Extrapolated requirements: 550 CPU cores, 450GB RAM, and 1.4TB storage. Instance size for nodes can be modulated up or down, depending on your preference. Nodes are often resource overcommitted. In this deployment scenario, you can choose to run additional smaller nodes or fewer larger nodes to provide the same amount of resources. Factors such as operational agility and cost-per-instance should be considered. Node type Quantity CPUs RAM (GB) Nodes (option 1) 100 4 16 Nodes (option 2) 50 8 32 Nodes (option 3) 25 16 64 Some applications lend themselves well to overcommitted environments, and some do not. Most Java applications and applications that use huge pages are examples of applications that would not allow for overcommitment. That memory can not be used for other applications. In the example above, the environment would be roughly 30 percent overcommitted, a common ratio. The application pods can access a service either by using environment variables or DNS. If using environment variables, for each active service the variables are injected by the kubelet when a pod is run on a node. A cluster-aware DNS server watches the Kubernetes API for new services and creates a set of DNS records for each one. If DNS is enabled throughout your cluster, then all pods should automatically be able to resolve services by their DNS name. Service discovery using DNS can be used in case you must go beyond 5000 services. When using environment variables for service discovery, the argument list exceeds the allowed length after 5000 services in a namespace, then the pods and deployments will start failing. Disable the service links in the deployment's service specification file to overcome this: --- apiVersion: template.openshift.io/v1 kind: Template metadata: name: deployment-config-template creationTimestamp: annotations: description: This template will create a deploymentConfig with 1 replica, 4 env vars and a service. tags: '' objects: - apiVersion: apps.openshift.io/v1 kind: DeploymentConfig metadata: name: deploymentconfigUSD{IDENTIFIER} spec: template: metadata: labels: name: replicationcontrollerUSD{IDENTIFIER} spec: enableServiceLinks: false containers: - name: pauseUSD{IDENTIFIER} image: "USD{IMAGE}" ports: - containerPort: 8080 protocol: TCP env: - name: ENVVAR1_USD{IDENTIFIER} value: "USD{ENV_VALUE}" - name: ENVVAR2_USD{IDENTIFIER} value: "USD{ENV_VALUE}" - name: ENVVAR3_USD{IDENTIFIER} value: "USD{ENV_VALUE}" - name: ENVVAR4_USD{IDENTIFIER} value: "USD{ENV_VALUE}" resources: {} imagePullPolicy: IfNotPresent capabilities: {} securityContext: capabilities: {} privileged: false restartPolicy: Always serviceAccount: '' replicas: 1 selector: name: replicationcontrollerUSD{IDENTIFIER} triggers: - type: ConfigChange strategy: type: Rolling - apiVersion: v1 kind: Service metadata: name: serviceUSD{IDENTIFIER} spec: selector: name: replicationcontrollerUSD{IDENTIFIER} ports: - name: serviceportUSD{IDENTIFIER} protocol: TCP port: 80 targetPort: 8080 clusterIP: '' type: ClusterIP sessionAffinity: None status: loadBalancer: {} parameters: - name: IDENTIFIER description: Number to append to the name of resources value: '1' required: true - name: IMAGE description: Image to use for deploymentConfig value: gcr.io/google-containers/pause-amd64:3.0 required: false - name: ENV_VALUE description: Value to use for environment variables generate: expression from: "[A-Za-z0-9]{255}" required: false labels: template: deployment-config-template The number of application pods that can run in a namespace is dependent on the number of services and the length of the service name when the environment variables are used for service discovery. ARG_MAX on the system defines the maximum argument length for a new process and it is set to 2097152 bytes (2 MiB) by default. The Kubelet injects environment variables in to each pod scheduled to run in the namespace including: <SERVICE_NAME>_SERVICE_HOST=<IP> <SERVICE_NAME>_SERVICE_PORT=<PORT> <SERVICE_NAME>_PORT=tcp://<IP>:<PORT> <SERVICE_NAME>_PORT_<PORT>_TCP=tcp://<IP>:<PORT> <SERVICE_NAME>_PORT_<PORT>_TCP_PROTO=tcp <SERVICE_NAME>_PORT_<PORT>_TCP_PORT=<PORT> <SERVICE_NAME>_PORT_<PORT>_TCP_ADDR=<ADDR> The pods in the namespace will start to fail if the argument length exceeds the allowed value and the number of characters in a service name impacts it. For example, in a namespace with 5000 services, the limit on the service name is 33 characters, which enables you to run 5000 pods in the namespace. | [
"required pods per cluster / pods per node = total number of nodes needed",
"2200 / 500 = 4.4",
"2200 / 20 = 110",
"required pods per cluster / total number of nodes = expected pods per node",
"--- apiVersion: template.openshift.io/v1 kind: Template metadata: name: deployment-config-template creationTimestamp: annotations: description: This template will create a deploymentConfig with 1 replica, 4 env vars and a service. tags: '' objects: - apiVersion: apps.openshift.io/v1 kind: DeploymentConfig metadata: name: deploymentconfigUSD{IDENTIFIER} spec: template: metadata: labels: name: replicationcontrollerUSD{IDENTIFIER} spec: enableServiceLinks: false containers: - name: pauseUSD{IDENTIFIER} image: \"USD{IMAGE}\" ports: - containerPort: 8080 protocol: TCP env: - name: ENVVAR1_USD{IDENTIFIER} value: \"USD{ENV_VALUE}\" - name: ENVVAR2_USD{IDENTIFIER} value: \"USD{ENV_VALUE}\" - name: ENVVAR3_USD{IDENTIFIER} value: \"USD{ENV_VALUE}\" - name: ENVVAR4_USD{IDENTIFIER} value: \"USD{ENV_VALUE}\" resources: {} imagePullPolicy: IfNotPresent capabilities: {} securityContext: capabilities: {} privileged: false restartPolicy: Always serviceAccount: '' replicas: 1 selector: name: replicationcontrollerUSD{IDENTIFIER} triggers: - type: ConfigChange strategy: type: Rolling - apiVersion: v1 kind: Service metadata: name: serviceUSD{IDENTIFIER} spec: selector: name: replicationcontrollerUSD{IDENTIFIER} ports: - name: serviceportUSD{IDENTIFIER} protocol: TCP port: 80 targetPort: 8080 clusterIP: '' type: ClusterIP sessionAffinity: None status: loadBalancer: {} parameters: - name: IDENTIFIER description: Number to append to the name of resources value: '1' required: true - name: IMAGE description: Image to use for deploymentConfig value: gcr.io/google-containers/pause-amd64:3.0 required: false - name: ENV_VALUE description: Value to use for environment variables generate: expression from: \"[A-Za-z0-9]{255}\" required: false labels: template: deployment-config-template"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.13/html/scalability_and_performance/planning-your-environment-according-to-object-maximums |
function::kernel_string2 | function::kernel_string2 Name function::kernel_string2 - Retrieves string from kernel memory with alternative error string Synopsis Arguments addr The kernel address to retrieve the string from err_msg The error message to return when data isn't available Description This function returns the null terminated C string from a given kernel memory address. Reports the given error message on string copy fault. | [
"kernel_string2:string(addr:long,err_msg:string)"
] | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/systemtap_tapset_reference/api-kernel-string2 |
C.6. Selection Criteria Processing Examples | C.6. Selection Criteria Processing Examples This section provides a series of examples showing how to use selection criteria in commands that process LVM logical volumes. This example shows the initial configuration of a group of logical volumes, including thin snapshots. Thin snapshots have the "skip activation" flag set by default. This example also includes the logical volume lvol4 which also has the "skip activation" flag set. The following command removes the skip activation flag from all logical volumes that are thin snapshots. The following command shows the configuration of the logical volumes after executing the lvchange command. Note that the "skip activation" flag has not been unset from the logical volume that is not a thin snapshot. The following command shows the configuration of the logical volumes after an additional thin origin/snapshot volume has been created. The following command activates logical volumes that are both thin snapshot volumes and have an origin volume of lvol2 . If you execute a command on a whole item while specifying selection criteria that match an item from that whole, the entire whole item is processed. For example, if you change a volume group while selecting one or more items from that volume group, the whole volume group is selected. This example selects logical volume lvol1 , which is part of volume group vg . All of the logical volumes in volume group vg are processed. The following example shows a more complex selection criteria statement. In this example, all logical volumes are tagged with mytag if they have a role of origin and are also named lvol[456] or the logical volume size is more than 5 gigabytes. | [
"lvs -o name,skip_activation,layout,role LV SkipAct Layout Role root linear public swap linear public lvol1 thin,sparse public lvol2 thin,sparse public,origin,thinorigin lvol3 skip activation thin,sparse public,snapshot,thinsnapshot lvol4 skip activation linear public pool thin,pool private",
"lvchange --setactivationskip n -S 'role=thinsnapshot' Logical volume \"lvol3\" changed.",
"lvs -o name,active,skip_activation,layout,role LV Active SkipAct Layout Role root active linear public swap active linear public lvol1 active thin,sparse public lvol2 active thin,sparse public,origin,thinorigin lvol3 thin,sparse public,snapshot,thinsnapshot lvol4 active skip activation linear public pool active thin,pool private",
"lvs -o name,active,skip_activation,origin,layout,role LV Active SkipAct Origin Layout Role root active linear public swap active linear public lvol1 active thin,sparse public lvol2 active thin,sparse public,origin,thinorigin lvol3 lvol2 thin,sparse public,snapshot,thinsnapshot lvol4 active skip activation linear public lvol5 active thin,sparse public,origin,thinorigin lvol6 lvol5 thin,sparse public,snapshot,thinsnapshot pool active thin,pool private",
"lvchange -ay -S 'lv_role=thinsnapshot && origin=lvol2' lvs -o name,active,skip_activation,origin,layout,role LV Active SkipAct Origin Layout Role root active linear public swap active linear public lvol1 active thin,sparse public lvol2 active thin,sparse public,origin,thinorigin lvol3 active lvol2 thin,sparse public,snapshot,thinsnapshot lvol4 active skip activation linear public lvol5 active thin,sparse public,origin,thinorigin lvol6 lvol5 thin,sparse public,snapshot,thinsnapshot pool active thin,pool private",
"lvs -o name,vg_name LV VG root fedora swap fedora lvol1 vg lvol2 vg lvol3 vg lvol4 vg lvol5 vg lvol6 vg pool vg vgchange -ay -S 'lv_name=lvol1' 7 logical volume(s) in volume group \"vg\" now active",
"lvchange --addtag mytag -S '(role=origin && lv_name=~lvol[456]) || lv_size > 5g' Logical volume \"root\" changed. Logical volume \"lvol5\" changed."
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/logical_volume_manager_administration/selection_processing_examples |
Chapter 16. Provisioning real-time and low latency workloads | Chapter 16. Provisioning real-time and low latency workloads Many organizations need high performance computing and low, predictable latency, especially in the financial and telecommunications industries. OpenShift Container Platform provides the Node Tuning Operator to implement automatic tuning to achieve low latency performance and consistent response time for OpenShift Container Platform applications. You use the performance profile configuration to make these changes. You can update the kernel to kernel-rt, reserve CPUs for cluster and operating system housekeeping duties, including pod infra containers, isolate CPUs for application containers to run the workloads, and disable unused CPUs to reduce power consumption. Note When writing your applications, follow the general recommendations described in RHEL for Real Time processes and threads . Additional resources Tuning nodes for low latency with the performance profile 16.1. Scheduling a low latency workload onto a worker with real-time capabilities You can schedule low latency workloads onto a worker node where a performance profile that configures real-time capabilities is applied. Note To schedule the workload on specific nodes, use label selectors in the Pod custom resource (CR). The label selectors must match the nodes that are attached to the machine config pool that was configured for low latency by the Node Tuning Operator. Prerequisites You have installed the OpenShift CLI ( oc ). You have logged in as a user with cluster-admin privileges. You have applied a performance profile in the cluster that tunes worker nodes for low latency workloads. Procedure Create a Pod CR for the low latency workload and apply it in the cluster, for example: Example Pod spec configured to use real-time processing apiVersion: v1 kind: Pod metadata: name: dynamic-low-latency-pod annotations: cpu-quota.crio.io: "disable" 1 cpu-load-balancing.crio.io: "disable" 2 irq-load-balancing.crio.io: "disable" 3 spec: securityContext: runAsNonRoot: true seccompProfile: type: RuntimeDefault containers: - name: dynamic-low-latency-pod image: "registry.redhat.io/openshift4/cnf-tests-rhel8:v4.16" command: ["sleep", "10h"] resources: requests: cpu: 2 memory: "200M" limits: cpu: 2 memory: "200M" securityContext: allowPrivilegeEscalation: false capabilities: drop: [ALL] nodeSelector: node-role.kubernetes.io/worker-cnf: "" 4 runtimeClassName: performance-dynamic-low-latency-profile 5 # ... 1 Disables the CPU completely fair scheduler (CFS) quota at the pod run time. 2 Disables CPU load balancing. 3 Opts the pod out of interrupt handling on the node. 4 The nodeSelector label must match the label that you specify in the Node CR. 5 runtimeClassName must match the name of the performance profile configured in the cluster. Enter the pod runtimeClassName in the form performance-<profile_name>, where <profile_name> is the name from the PerformanceProfile YAML. In the example, the name is performance-dynamic-low-latency-profile . Ensure the pod is running correctly. Status should be running , and the correct cnf-worker node should be set: USD oc get pod -o wide Expected output NAME READY STATUS RESTARTS AGE IP NODE dynamic-low-latency-pod 1/1 Running 0 5h33m 10.131.0.10 cnf-worker.example.com Get the CPUs that the pod configured for IRQ dynamic load balancing runs on: USD oc exec -it dynamic-low-latency-pod -- /bin/bash -c "grep Cpus_allowed_list /proc/self/status | awk '{print USD2}'" Expected output Cpus_allowed_list: 2-3 Verification Ensure the node configuration is applied correctly. Log in to the node to verify the configuration. USD oc debug node/<node-name> Verify that you can use the node file system: sh-4.4# chroot /host Expected output sh-4.4# Ensure the default system CPU affinity mask does not include the dynamic-low-latency-pod CPUs, for example, CPUs 2 and 3. sh-4.4# cat /proc/irq/default_smp_affinity Example output 33 Ensure the system IRQs are not configured to run on the dynamic-low-latency-pod CPUs: sh-4.4# find /proc/irq/ -name smp_affinity_list -exec sh -c 'i="USD1"; mask=USD(cat USDi); file=USD(echo USDi); echo USDfile: USDmask' _ {} \; Example output /proc/irq/0/smp_affinity_list: 0-5 /proc/irq/1/smp_affinity_list: 5 /proc/irq/2/smp_affinity_list: 0-5 /proc/irq/3/smp_affinity_list: 0-5 /proc/irq/4/smp_affinity_list: 0 /proc/irq/5/smp_affinity_list: 0-5 /proc/irq/6/smp_affinity_list: 0-5 /proc/irq/7/smp_affinity_list: 0-5 /proc/irq/8/smp_affinity_list: 4 /proc/irq/9/smp_affinity_list: 4 /proc/irq/10/smp_affinity_list: 0-5 /proc/irq/11/smp_affinity_list: 0 /proc/irq/12/smp_affinity_list: 1 /proc/irq/13/smp_affinity_list: 0-5 /proc/irq/14/smp_affinity_list: 1 /proc/irq/15/smp_affinity_list: 0 /proc/irq/24/smp_affinity_list: 1 /proc/irq/25/smp_affinity_list: 1 /proc/irq/26/smp_affinity_list: 1 /proc/irq/27/smp_affinity_list: 5 /proc/irq/28/smp_affinity_list: 1 /proc/irq/29/smp_affinity_list: 0 /proc/irq/30/smp_affinity_list: 0-5 Warning When you tune nodes for low latency, the usage of execution probes in conjunction with applications that require guaranteed CPUs can cause latency spikes. Use other probes, such as a properly configured set of network probes, as an alternative. Additional resources Placing pods on specific nodes using node selectors Assigning pods to nodes 16.2. Creating a pod with a guaranteed QoS class Keep the following in mind when you create a pod that is given a QoS class of Guaranteed : Every container in the pod must have a memory limit and a memory request, and they must be the same. Every container in the pod must have a CPU limit and a CPU request, and they must be the same. The following example shows the configuration file for a pod that has one container. The container has a memory limit and a memory request, both equal to 200 MiB. The container has a CPU limit and a CPU request, both equal to 1 CPU. apiVersion: v1 kind: Pod metadata: name: qos-demo namespace: qos-example spec: securityContext: runAsNonRoot: true seccompProfile: type: RuntimeDefault containers: - name: qos-demo-ctr image: <image-pull-spec> resources: limits: memory: "200Mi" cpu: "1" requests: memory: "200Mi" cpu: "1" securityContext: allowPrivilegeEscalation: false capabilities: drop: [ALL] Create the pod: USD oc apply -f qos-pod.yaml --namespace=qos-example View detailed information about the pod: USD oc get pod qos-demo --namespace=qos-example --output=yaml Example output spec: containers: ... status: qosClass: Guaranteed Note If you specify a memory limit for a container, but do not specify a memory request, OpenShift Container Platform automatically assigns a memory request that matches the limit. Similarly, if you specify a CPU limit for a container, but do not specify a CPU request, OpenShift Container Platform automatically assigns a CPU request that matches the limit. 16.3. Disabling CPU load balancing in a Pod Functionality to disable or enable CPU load balancing is implemented on the CRI-O level. The code under the CRI-O disables or enables CPU load balancing only when the following requirements are met. The pod must use the performance-<profile-name> runtime class. You can get the proper name by looking at the status of the performance profile, as shown here: apiVersion: performance.openshift.io/v2 kind: PerformanceProfile ... status: ... runtimeClass: performance-manual The Node Tuning Operator is responsible for the creation of the high-performance runtime handler config snippet under relevant nodes and for creation of the high-performance runtime class under the cluster. It will have the same content as the default runtime handler except that it enables the CPU load balancing configuration functionality. To disable the CPU load balancing for the pod, the Pod specification must include the following fields: apiVersion: v1 kind: Pod metadata: #... annotations: #... cpu-load-balancing.crio.io: "disable" #... #... spec: #... runtimeClassName: performance-<profile_name> #... Note Only disable CPU load balancing when the CPU manager static policy is enabled and for pods with guaranteed QoS that use whole CPUs. Otherwise, disabling CPU load balancing can affect the performance of other containers in the cluster. 16.4. Disabling power saving mode for high priority pods You can configure pods to ensure that high priority workloads are unaffected when you configure power saving for the node that the workloads run on. When you configure a node with a power saving configuration, you must configure high priority workloads with performance configuration at the pod level, which means that the configuration applies to all the cores used by the pod. By disabling P-states and C-states at the pod level, you can configure high priority workloads for best performance and lowest latency. Table 16.1. Configuration for high priority workloads Annotation Possible Values Description cpu-c-states.crio.io: "enable" "disable" "max_latency:microseconds" This annotation allows you to enable or disable C-states for each CPU. Alternatively, you can also specify a maximum latency in microseconds for the C-states. For example, enable C-states with a maximum latency of 10 microseconds with the setting cpu-c-states.crio.io : "max_latency:10" . Set the value to "disable" to provide the best performance for a pod. cpu-freq-governor.crio.io: Any supported cpufreq governor . Sets the cpufreq governor for each CPU. The "performance" governor is recommended for high priority workloads. Prerequisites You have configured power saving in the performance profile for the node where the high priority workload pods are scheduled. Procedure Add the required annotations to your high priority workload pods. The annotations override the default settings. Example high priority workload annotation apiVersion: v1 kind: Pod metadata: #... annotations: #... cpu-c-states.crio.io: "disable" cpu-freq-governor.crio.io: "performance" #... #... spec: #... runtimeClassName: performance-<profile_name> #... Restart the pods to apply the annotation. Additional resources Configuring power saving for nodes that run colocated high and low priority workloads 16.5. Disabling CPU CFS quota To eliminate CPU throttling for pinned pods, create a pod with the cpu-quota.crio.io: "disable" annotation. This annotation disables the CPU completely fair scheduler (CFS) quota when the pod runs. Example pod specification with cpu-quota.crio.io disabled apiVersion: v1 kind: Pod metadata: annotations: cpu-quota.crio.io: "disable" spec: runtimeClassName: performance-<profile_name> #... Note Only disable CPU CFS quota when the CPU manager static policy is enabled and for pods with guaranteed QoS that use whole CPUs. For example, pods that contain CPU-pinned containers. Otherwise, disabling CPU CFS quota can affect the performance of other containers in the cluster. Additional resources Recommended firmware configuration for vDU cluster hosts 16.6. Disabling interrupt processing for CPUs where pinned containers are running To achieve low latency for workloads, some containers require that the CPUs they are pinned to do not process device interrupts. A pod annotation, irq-load-balancing.crio.io , is used to define whether device interrupts are processed or not on the CPUs where the pinned containers are running. When configured, CRI-O disables device interrupts where the pod containers are running. To disable interrupt processing for CPUs where containers belonging to individual pods are pinned, ensure that globallyDisableIrqLoadBalancing is set to false in the performance profile. Then, in the pod specification, set the irq-load-balancing.crio.io pod annotation to disable . The following pod specification contains this annotation: apiVersion: performance.openshift.io/v2 kind: Pod metadata: annotations: irq-load-balancing.crio.io: "disable" spec: runtimeClassName: performance-<profile_name> ... Additional resources Managing device interrupt processing for guaranteed pod isolated CPUs | [
"apiVersion: v1 kind: Pod metadata: name: dynamic-low-latency-pod annotations: cpu-quota.crio.io: \"disable\" 1 cpu-load-balancing.crio.io: \"disable\" 2 irq-load-balancing.crio.io: \"disable\" 3 spec: securityContext: runAsNonRoot: true seccompProfile: type: RuntimeDefault containers: - name: dynamic-low-latency-pod image: \"registry.redhat.io/openshift4/cnf-tests-rhel8:v4.16\" command: [\"sleep\", \"10h\"] resources: requests: cpu: 2 memory: \"200M\" limits: cpu: 2 memory: \"200M\" securityContext: allowPrivilegeEscalation: false capabilities: drop: [ALL] nodeSelector: node-role.kubernetes.io/worker-cnf: \"\" 4 runtimeClassName: performance-dynamic-low-latency-profile 5",
"oc get pod -o wide",
"NAME READY STATUS RESTARTS AGE IP NODE dynamic-low-latency-pod 1/1 Running 0 5h33m 10.131.0.10 cnf-worker.example.com",
"oc exec -it dynamic-low-latency-pod -- /bin/bash -c \"grep Cpus_allowed_list /proc/self/status | awk '{print USD2}'\"",
"Cpus_allowed_list: 2-3",
"oc debug node/<node-name>",
"sh-4.4# chroot /host",
"sh-4.4#",
"sh-4.4# cat /proc/irq/default_smp_affinity",
"33",
"sh-4.4# find /proc/irq/ -name smp_affinity_list -exec sh -c 'i=\"USD1\"; mask=USD(cat USDi); file=USD(echo USDi); echo USDfile: USDmask' _ {} \\;",
"/proc/irq/0/smp_affinity_list: 0-5 /proc/irq/1/smp_affinity_list: 5 /proc/irq/2/smp_affinity_list: 0-5 /proc/irq/3/smp_affinity_list: 0-5 /proc/irq/4/smp_affinity_list: 0 /proc/irq/5/smp_affinity_list: 0-5 /proc/irq/6/smp_affinity_list: 0-5 /proc/irq/7/smp_affinity_list: 0-5 /proc/irq/8/smp_affinity_list: 4 /proc/irq/9/smp_affinity_list: 4 /proc/irq/10/smp_affinity_list: 0-5 /proc/irq/11/smp_affinity_list: 0 /proc/irq/12/smp_affinity_list: 1 /proc/irq/13/smp_affinity_list: 0-5 /proc/irq/14/smp_affinity_list: 1 /proc/irq/15/smp_affinity_list: 0 /proc/irq/24/smp_affinity_list: 1 /proc/irq/25/smp_affinity_list: 1 /proc/irq/26/smp_affinity_list: 1 /proc/irq/27/smp_affinity_list: 5 /proc/irq/28/smp_affinity_list: 1 /proc/irq/29/smp_affinity_list: 0 /proc/irq/30/smp_affinity_list: 0-5",
"apiVersion: v1 kind: Pod metadata: name: qos-demo namespace: qos-example spec: securityContext: runAsNonRoot: true seccompProfile: type: RuntimeDefault containers: - name: qos-demo-ctr image: <image-pull-spec> resources: limits: memory: \"200Mi\" cpu: \"1\" requests: memory: \"200Mi\" cpu: \"1\" securityContext: allowPrivilegeEscalation: false capabilities: drop: [ALL]",
"oc apply -f qos-pod.yaml --namespace=qos-example",
"oc get pod qos-demo --namespace=qos-example --output=yaml",
"spec: containers: status: qosClass: Guaranteed",
"apiVersion: performance.openshift.io/v2 kind: PerformanceProfile status: runtimeClass: performance-manual",
"apiVersion: v1 kind: Pod metadata: # annotations: # cpu-load-balancing.crio.io: \"disable\" # # spec: # runtimeClassName: performance-<profile_name> #",
"apiVersion: v1 kind: Pod metadata: # annotations: # cpu-c-states.crio.io: \"disable\" cpu-freq-governor.crio.io: \"performance\" # # spec: # runtimeClassName: performance-<profile_name> #",
"apiVersion: v1 kind: Pod metadata: annotations: cpu-quota.crio.io: \"disable\" spec: runtimeClassName: performance-<profile_name> #",
"apiVersion: performance.openshift.io/v2 kind: Pod metadata: annotations: irq-load-balancing.crio.io: \"disable\" spec: runtimeClassName: performance-<profile_name>"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.16/html/scalability_and_performance/cnf-provisioning-low-latency-workloads |
function::kernel_string_utf32 | function::kernel_string_utf32 Name function::kernel_string_utf32 - Retrieves UTF-32 string from kernel memory Synopsis Arguments addr The kernel address to retrieve the string from Description This function returns a null terminated UTF-8 string converted from the UTF-32 string at a given kernel memory address. Reports an error on string copy fault or conversion error. | [
"kernel_string_utf32:string(addr:long)"
] | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/systemtap_tapset_reference/api-kernel-string-utf32 |
Chapter 6. Scheduling Windows container workloads | Chapter 6. Scheduling Windows container workloads You can schedule Windows workloads to Windows compute nodes. Note The WMCO is not supported in clusters that use a cluster-wide proxy because the WMCO is not able to route traffic through the proxy connection for the workloads. Prerequisites You installed the Windows Machine Config Operator (WMCO) using Operator Lifecycle Manager (OLM). You are using a Windows container as the OS image with the Docker-formatted container runtime add-on enabled. You have created a Windows machine set. Important Currently, the Docker-formatted container runtime is used in Windows nodes. Kubernetes is deprecating Docker as a container runtime; you can reference the Kubernetes documentation for more information in Docker deprecation . Containerd will be the new supported container runtime for Windows nodes in a future release of Kubernetes. 6.1. Windows pod placement Before deploying your Windows workloads to the cluster, you must configure your Windows node scheduling so pods are assigned correctly. Since you have a machine hosting your Windows node, it is managed the same as a Linux-based node. Likewise, scheduling a Windows pod to the appropriate Windows node is completed similarly, using mechanisms like taints, tolerations, and node selectors. With multiple operating systems, and the ability to run multiple Windows OS variants in the same cluster, you must map your Windows pods to a base Windows OS variant by using a RuntimeClass object. For example, if you have multiple Windows nodes running on different Windows Server container versions, the cluster could schedule your Windows pods to an incompatible Windows OS variant. You must have RuntimeClass objects configured for each Windows OS variant on your cluster. Using a RuntimeClass object is also recommended if you have only one Windows OS variant available in your cluster. For more information, see Microsoft's documentation on Host and container version compatibility . Important The container base image must be the same Windows OS version and build number that is running on the node where the conainer is to be scheduled. Also, if you upgrade the Windows nodes from one version to another, for example going from 20H2 to 2022, you must upgrade your container base image to match the new version. For more information, see Windows container version compatibility . Additional resources Controlling pod placement using the scheduler Controlling pod placement using node taints Placing pods on specific nodes using node selectors 6.2. Creating a RuntimeClass object to encapsulate scheduling mechanisms Using a RuntimeClass object simplifies the use of scheduling mechanisms like taints and tolerations; you deploy a runtime class that encapsulates your taints and tolerations and then apply it to your pods to schedule them to the appropriate node. Creating a runtime class is also necessary in clusters that support multiple operating system variants. Procedure Create a RuntimeClass object YAML file. For example, runtime-class.yaml : apiVersion: node.k8s.io/v1beta1 kind: RuntimeClass metadata: name: <runtime_class_name> 1 handler: 'docker' scheduling: nodeSelector: 2 kubernetes.io/os: 'windows' kubernetes.io/arch: 'amd64' node.kubernetes.io/windows-build: '10.0.17763' tolerations: 3 - effect: NoSchedule key: os operator: Equal value: "Windows" 1 Specify the RuntimeClass object name, which is defined in the pods you want to be managed by this runtime class. 2 Specify labels that must be present on nodes that support this runtime class. Pods using this runtime class can only be scheduled to a node matched by this selector. The node selector of the runtime class is merged with the existing node selector of the pod. Any conflicts prevent the pod from being scheduled to the node. 3 Specify tolerations to append to pods, excluding duplicates, running with this runtime class during admission. This combines the set of nodes tolerated by the pod and the runtime class. Create the RuntimeClass object: USD oc create -f <file-name>.yaml For example: USD oc create -f runtime-class.yaml Apply the RuntimeClass object to your pod to ensure it is scheduled to the appropriate operating system variant: apiVersion: v1 kind: Pod metadata: name: my-windows-pod spec: runtimeClassName: <runtime_class_name> 1 ... 1 Specify the runtime class to manage the scheduling of your pod. 6.3. Sample Windows container workload deployment You can deploy Windows container workloads to your cluster once you have a Windows compute node available. Note This sample deployment is provided for reference only. Example Service object apiVersion: v1 kind: Service metadata: name: win-webserver labels: app: win-webserver spec: ports: # the port that this service should serve on - port: 80 targetPort: 80 selector: app: win-webserver type: LoadBalancer Example Deployment object apiVersion: apps/v1 kind: Deployment metadata: labels: app: win-webserver name: win-webserver spec: selector: matchLabels: app: win-webserver replicas: 1 template: metadata: labels: app: win-webserver name: win-webserver spec: tolerations: - key: "os" value: "Windows" Effect: "NoSchedule" containers: - name: windowswebserver image: mcr.microsoft.com/windows/servercore:ltsc2019 imagePullPolicy: IfNotPresent command: - powershell.exe - -command - USDlistener = New-Object System.Net.HttpListener; USDlistener.Prefixes.Add('http://*:80/'); USDlistener.Start();Write-Host('Listening at http://*:80/'); while (USDlistener.IsListening) { USDcontext = USDlistener.GetContext(); USDresponse = USDcontext.Response; USDcontent='<html><body><H1>Red Hat OpenShift + Windows Container Workloads</H1></body></html>'; USDbuffer = [System.Text.Encoding]::UTF8.GetBytes(USDcontent); USDresponse.ContentLength64 = USDbuffer.Length; USDresponse.OutputStream.Write(USDbuffer, 0, USDbuffer.Length); USDresponse.Close(); }; securityContext: runAsNonRoot: false windowsOptions: runAsUserName: "ContainerAdministrator" nodeSelector: kubernetes.io/os: windows Note When using the mcr.microsoft.com/powershell:<tag> container image, you must define the command as pwsh.exe . If you are using the mcr.microsoft.com/windows/servercore:<tag> container image, you must define the command as powershell.exe . For more information, see Microsoft's documentation. 6.4. Scaling a machine set manually To add or remove an instance of a machine in a machine set, you can manually scale the machine set. This guidance is relevant to fully automated, installer-provisioned infrastructure installations. Customized, user-provisioned infrastructure installations do not have machine sets. Prerequisites Install an OpenShift Container Platform cluster and the oc command line. Log in to oc as a user with cluster-admin permission. Procedure View the machine sets that are in the cluster: USD oc get machinesets -n openshift-machine-api The machine sets are listed in the form of <clusterid>-worker-<aws-region-az> . View the machines that are in the cluster: USD oc get machine -n openshift-machine-api Set the annotation on the machine that you want to delete: USD oc annotate machine/<machine_name> -n openshift-machine-api machine.openshift.io/cluster-api-delete-machine="true" Cordon and drain the node that you want to delete: USD oc adm cordon <node_name> USD oc adm drain <node_name> Scale the machine set: USD oc scale --replicas=2 machineset <machineset> -n openshift-machine-api Or: USD oc edit machineset <machineset> -n openshift-machine-api Tip You can alternatively apply the following YAML to scale the machine set: apiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: name: <machineset> namespace: openshift-machine-api spec: replicas: 2 You can scale the machine set up or down. It takes several minutes for the new machines to be available. Verification Verify the deletion of the intended machine: USD oc get machines | [
"apiVersion: node.k8s.io/v1beta1 kind: RuntimeClass metadata: name: <runtime_class_name> 1 handler: 'docker' scheduling: nodeSelector: 2 kubernetes.io/os: 'windows' kubernetes.io/arch: 'amd64' node.kubernetes.io/windows-build: '10.0.17763' tolerations: 3 - effect: NoSchedule key: os operator: Equal value: \"Windows\"",
"oc create -f <file-name>.yaml",
"oc create -f runtime-class.yaml",
"apiVersion: v1 kind: Pod metadata: name: my-windows-pod spec: runtimeClassName: <runtime_class_name> 1",
"apiVersion: v1 kind: Service metadata: name: win-webserver labels: app: win-webserver spec: ports: # the port that this service should serve on - port: 80 targetPort: 80 selector: app: win-webserver type: LoadBalancer",
"apiVersion: apps/v1 kind: Deployment metadata: labels: app: win-webserver name: win-webserver spec: selector: matchLabels: app: win-webserver replicas: 1 template: metadata: labels: app: win-webserver name: win-webserver spec: tolerations: - key: \"os\" value: \"Windows\" Effect: \"NoSchedule\" containers: - name: windowswebserver image: mcr.microsoft.com/windows/servercore:ltsc2019 imagePullPolicy: IfNotPresent command: - powershell.exe - -command - USDlistener = New-Object System.Net.HttpListener; USDlistener.Prefixes.Add('http://*:80/'); USDlistener.Start();Write-Host('Listening at http://*:80/'); while (USDlistener.IsListening) { USDcontext = USDlistener.GetContext(); USDresponse = USDcontext.Response; USDcontent='<html><body><H1>Red Hat OpenShift + Windows Container Workloads</H1></body></html>'; USDbuffer = [System.Text.Encoding]::UTF8.GetBytes(USDcontent); USDresponse.ContentLength64 = USDbuffer.Length; USDresponse.OutputStream.Write(USDbuffer, 0, USDbuffer.Length); USDresponse.Close(); }; securityContext: runAsNonRoot: false windowsOptions: runAsUserName: \"ContainerAdministrator\" nodeSelector: kubernetes.io/os: windows",
"oc get machinesets -n openshift-machine-api",
"oc get machine -n openshift-machine-api",
"oc annotate machine/<machine_name> -n openshift-machine-api machine.openshift.io/cluster-api-delete-machine=\"true\"",
"oc adm cordon <node_name> oc adm drain <node_name>",
"oc scale --replicas=2 machineset <machineset> -n openshift-machine-api",
"oc edit machineset <machineset> -n openshift-machine-api",
"apiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: name: <machineset> namespace: openshift-machine-api spec: replicas: 2",
"oc get machines"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.9/html/windows_container_support_for_openshift/scheduling-windows-workloads |
32.3.4. Displaying a Process Status | 32.3.4. Displaying a Process Status To display status of processes in the system, type the ps command at the interactive prompt. You can use ps pid to display the status of the selected process. Example 32.5. Displaying status of processes in the system Type help ps for more information on the command usage. | [
"crash> ps PID PPID CPU TASK ST %MEM VSZ RSS COMM > 0 0 0 c09dc560 RU 0.0 0 0 [swapper] > 0 0 1 f7072030 RU 0.0 0 0 [swapper] 0 0 2 f70a3a90 RU 0.0 0 0 [swapper] > 0 0 3 f70ac560 RU 0.0 0 0 [swapper] 1 0 1 f705ba90 IN 0.0 2828 1424 init ... several lines omitted 5566 1 1 f2592560 IN 0.0 12876 784 auditd 5567 1 2 ef427560 IN 0.0 12876 784 auditd 5587 5132 0 f196d030 IN 0.0 11064 3184 sshd > 5591 5587 2 f196d560 RU 0.0 5084 1648 bash"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/deployment_guide/s2-kdump-crash-processes |
Chapter 7. Container Images Based on Red Hat Software Collections 3.4 | Chapter 7. Container Images Based on Red Hat Software Collections 3.4 Component Description Supported architectures Application Images rhscl/nodejs-12-rhel7 Node.js 12 platform for building and running applications (EOL) x86_64, s390x, ppc64le Daemon Images rhscl/nginx-116-rhel7 nginx 1.16 server and a reverse proxy server (EOL) x86_64, s390x, ppc64le Database Images rhscl/postgresql-12-rhel7 PostgreSQL 12 SQL database server x86_64, s390x, ppc64le Legend: x86_64 - AMD64 and Intel 64 architectures s390x - 64-bit IBM Z ppc64le - IBM POWER, little endian All images are based on components from Red Hat Software Collections. The images are available for Red Hat Enterprise Linux 7 through the Red Hat Container Registry. For detailed information about components provided by Red Hat Software Collections 3.4, see the Red Hat Software Collections 3.4 Release Notes . For more information about the Red Hat Developer Toolset 9.0 components, see the Red Hat Developer Toolset 9 User Guide . For information regarding container images based on Red Hat Software Collections 2, see Using Red Hat Software Collections 2 Container Images . EOL images are no longer supported. | null | https://docs.redhat.com/en/documentation/red_hat_software_collections/3/html/using_red_hat_software_collections_container_images/RHSCL_3.4_images |
Chapter 11. Configuring the audit log policy | Chapter 11. Configuring the audit log policy You can control the amount of information that is logged to the API server audit logs by choosing the audit log policy profile to use. 11.1. About audit log policy profiles Audit log profiles define how to log requests that come to the OpenShift API server, Kubernetes API server, OpenShift OAuth API server, and OpenShift OAuth server. OpenShift Container Platform provides the following predefined audit policy profiles: Profile Description Default Logs only metadata for read and write requests; does not log request bodies except for OAuth access token requests. This is the default policy. WriteRequestBodies In addition to logging metadata for all requests, logs request bodies for every write request to the API servers ( create , update , patch , delete , deletecollection ). This profile has more resource overhead than the Default profile. [1] AllRequestBodies In addition to logging metadata for all requests, logs request bodies for every read and write request to the API servers ( get , list , create , update , patch ). This profile has the most resource overhead. [1] None No requests are logged, including OAuth access token requests and OAuth authorize token requests. Custom rules are ignored when this profile is set. Warning Do not disable audit logging by using the None profile unless you are fully aware of the risks of not logging data that can be beneficial when troubleshooting issues. If you disable audit logging and a support situation arises, you might need to enable audit logging and reproduce the issue to troubleshoot properly. Sensitive resources, such as Secret , Route , and OAuthClient objects, are only logged at the metadata level. OpenShift OAuth server events are only logged at the metadata level. By default, OpenShift Container Platform uses the Default audit log profile. You can use another audit policy profile that also logs request bodies, but be aware of the increased resource usage such as CPU, memory, and I/O. 11.2. Configuring the audit log policy You can configure the audit log policy to use when logging requests that come to the API servers. Prerequisites You have access to the cluster as a user with the cluster-admin role. Procedure Edit the APIServer resource: USD oc edit apiserver cluster Update the spec.audit.profile field: apiVersion: config.openshift.io/v1 kind: APIServer metadata: ... spec: audit: profile: WriteRequestBodies 1 1 Set to Default , WriteRequestBodies , AllRequestBodies , or None . The default profile is Default . Warning It is not recommended to disable audit logging by using the None profile unless you are fully aware of the risks of not logging data that can be beneficial when troubleshooting issues. If you disable audit logging and a support situation arises, you might need to enable audit logging and reproduce the issue in order to troubleshoot properly. Save the file to apply the changes. Verification Verify that a new revision of the Kubernetes API server pods is rolled out. It can take several minutes for all nodes to update to the new revision. USD oc get kubeapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type=="NodeInstallerProgressing")]}{.reason}{"\n"}{.message}{"\n"}' Review the NodeInstallerProgressing status condition for the Kubernetes API server to verify that all nodes are at the latest revision. The output shows AllNodesAtLatestRevision upon successful update: AllNodesAtLatestRevision 3 nodes are at revision 12 1 1 In this example, the latest revision number is 12 . If the output shows a message similar to one of the following messages, the update is still in progress. Wait a few minutes and try again. 3 nodes are at revision 11; 0 nodes have achieved new revision 12 2 nodes are at revision 11; 1 nodes are at revision 12 11.3. Configuring the audit log policy with custom rules You can configure an audit log policy that defines custom rules. You can specify multiple groups and define which profile to use for that group. These custom rules take precedence over the top-level profile field. The custom rules are evaluated from top to bottom, and the first that matches is applied. Important Custom rules are ignored if the top-level profile field is set to None . Prerequisites You have access to the cluster as a user with the cluster-admin role. Procedure Edit the APIServer resource: USD oc edit apiserver cluster Add the spec.audit.customRules field: apiVersion: config.openshift.io/v1 kind: APIServer metadata: ... spec: audit: customRules: 1 - group: system:authenticated:oauth profile: WriteRequestBodies - group: system:authenticated profile: AllRequestBodies profile: Default 2 1 Add one or more groups and specify the profile to use for that group. These custom rules take precedence over the top-level profile field. The custom rules are evaluated from top to bottom, and the first that matches is applied. 2 Set to Default , WriteRequestBodies , or AllRequestBodies . If you do not set this top-level profile field, it defaults to the Default profile. Warning Do not set the top-level profile field to None if you want to use custom rules. Custom rules are ignored if the top-level profile field is set to None . Save the file to apply the changes. Verification Verify that a new revision of the Kubernetes API server pods is rolled out. It can take several minutes for all nodes to update to the new revision. USD oc get kubeapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type=="NodeInstallerProgressing")]}{.reason}{"\n"}{.message}{"\n"}' Review the NodeInstallerProgressing status condition for the Kubernetes API server to verify that all nodes are at the latest revision. The output shows AllNodesAtLatestRevision upon successful update: AllNodesAtLatestRevision 3 nodes are at revision 12 1 1 In this example, the latest revision number is 12 . If the output shows a message similar to one of the following messages, the update is still in progress. Wait a few minutes and try again. 3 nodes are at revision 11; 0 nodes have achieved new revision 12 2 nodes are at revision 11; 1 nodes are at revision 12 11.4. Disabling audit logging You can disable audit logging for OpenShift Container Platform. When you disable audit logging, even OAuth access token requests and OAuth authorize token requests are not logged. Warning It is not recommended to disable audit logging by using the None profile unless you are fully aware of the risks of not logging data that can be beneficial when troubleshooting issues. If you disable audit logging and a support situation arises, you might need to enable audit logging and reproduce the issue in order to troubleshoot properly. Prerequisites You have access to the cluster as a user with the cluster-admin role. Procedure Edit the APIServer resource: USD oc edit apiserver cluster Set the spec.audit.profile field to None : apiVersion: config.openshift.io/v1 kind: APIServer metadata: ... spec: audit: profile: None Note You can also disable audit logging only for specific groups by specifying custom rules in the spec.audit.customRules field. Save the file to apply the changes. Verification Verify that a new revision of the Kubernetes API server pods is rolled out. It can take several minutes for all nodes to update to the new revision. USD oc get kubeapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type=="NodeInstallerProgressing")]}{.reason}{"\n"}{.message}{"\n"}' Review the NodeInstallerProgressing status condition for the Kubernetes API server to verify that all nodes are at the latest revision. The output shows AllNodesAtLatestRevision upon successful update: AllNodesAtLatestRevision 3 nodes are at revision 12 1 1 In this example, the latest revision number is 12 . If the output shows a message similar to one of the following messages, the update is still in progress. Wait a few minutes and try again. 3 nodes are at revision 11; 0 nodes have achieved new revision 12 2 nodes are at revision 11; 1 nodes are at revision 12 | [
"oc edit apiserver cluster",
"apiVersion: config.openshift.io/v1 kind: APIServer metadata: spec: audit: profile: WriteRequestBodies 1",
"oc get kubeapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type==\"NodeInstallerProgressing\")]}{.reason}{\"\\n\"}{.message}{\"\\n\"}'",
"AllNodesAtLatestRevision 3 nodes are at revision 12 1",
"oc edit apiserver cluster",
"apiVersion: config.openshift.io/v1 kind: APIServer metadata: spec: audit: customRules: 1 - group: system:authenticated:oauth profile: WriteRequestBodies - group: system:authenticated profile: AllRequestBodies profile: Default 2",
"oc get kubeapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type==\"NodeInstallerProgressing\")]}{.reason}{\"\\n\"}{.message}{\"\\n\"}'",
"AllNodesAtLatestRevision 3 nodes are at revision 12 1",
"oc edit apiserver cluster",
"apiVersion: config.openshift.io/v1 kind: APIServer metadata: spec: audit: profile: None",
"oc get kubeapiserver -o=jsonpath='{range .items[0].status.conditions[?(@.type==\"NodeInstallerProgressing\")]}{.reason}{\"\\n\"}{.message}{\"\\n\"}'",
"AllNodesAtLatestRevision 3 nodes are at revision 12 1"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.18/html/security_and_compliance/audit-log-policy-config |
Console APIs | Console APIs OpenShift Container Platform 4.15 Reference guide for console APIs Red Hat OpenShift Documentation Team | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.15/html/console_apis/index |
9.2.2. Adding a Node to a Cluster | 9.2.2. Adding a Node to a Cluster Adding a node to a cluster consists of updating the cluster configuration, propagating the updated configuration to the node to be added, and starting the cluster software on that node. To add a node to a cluster, perform the following steps: At any node in the cluster, edit the /etc/cluster/cluster.conf to add a clusternode section for the node that is to be added. For example, in Example 9.2, "Two-node Cluster Configuration" , if node-03.example.com is supposed to be added, then add a clusternode section for that node. If adding a node (or nodes) causes the cluster to transition from a two-node cluster to a cluster with three or more nodes, remove the following cman attributes from /etc/cluster/cluster.conf : cman two_node="1" expected_votes="1" Refer to Section 9.2.3, "Examples of Three-Node and Two-Node Configurations" for comparison between a three-node and a two-node configuration. Update the config_version attribute by incrementing its value (for example, changing from config_version="2" to config_version="3"> ). Save /etc/cluster/cluster.conf . (Optional) Validate the updated file against the cluster schema ( cluster.rng ) by running the ccs_config_validate command. For example: Run the cman_tool version -r command to propagate the configuration to the rest of the cluster nodes. Verify that the updated configuration file has been propagated. Propagate the updated configuration file to /etc/cluster/ in each node to be added to the cluster. For example, use the scp command to send the updated configuration file to each node to be added to the cluster. If the node count of the cluster has transitioned from two nodes to greater than two nodes, you must restart the cluster software in the existing cluster nodes as follows: At each node, stop the cluster software according to Section 9.1.2, "Stopping Cluster Software" . For example: At each node, start the cluster software according to Section 9.1.1, "Starting Cluster Software" . For example: At each node to be added to the cluster, start the cluster software according to Section 9.1.1, "Starting Cluster Software" . For example: At any node, using the clustat utility, verify that each added node is running and part of the cluster. For example: For information about using clustat , see Section 9.3, "Managing High-Availability Services" . In addition, you can use cman_tool status to verify node votes, node count, and quorum count. For example: At any node, you can use the clusvcadm utility to migrate or relocate a running service to the newly joined node. Also, you can enable any disabled services. For information about using clusvcadm , see Section 9.3, "Managing High-Availability Services" Note When you add a node to a cluster that uses UDPU transport, you must restart all nodes in the cluster for the change to take effect. | [
"ccs_config_validate Configuration validates",
"service rgmanager stop Stopping Cluster Service Manager: [ OK ] service gfs2 stop Unmounting GFS2 filesystem (/mnt/gfsA): [ OK ] Unmounting GFS2 filesystem (/mnt/gfsB): [ OK ] service clvmd stop Signaling clvmd to exit [ OK ] clvmd terminated [ OK ] service cman stop Stopping cluster: Leaving fence domain... [ OK ] Stopping gfs_controld... [ OK ] Stopping dlm_controld... [ OK ] Stopping fenced... [ OK ] Stopping cman... [ OK ] Waiting for corosync to shutdown: [ OK ] Unloading kernel modules... [ OK ] Unmounting configfs... [ OK ]",
"service cman start Starting cluster: Checking Network Manager... [ OK ] Global setup... [ OK ] Loading kernel modules... [ OK ] Mounting configfs... [ OK ] Starting cman... [ OK ] Waiting for quorum... [ OK ] Starting fenced... [ OK ] Starting dlm_controld... [ OK ] Starting gfs_controld... [ OK ] Unfencing self... [ OK ] Joining fence domain... [ OK ] service clvmd start Starting clvmd: [ OK ] Activating VG(s): 2 logical volume(s) in volume group \"vg_example\" now active [ OK ] service gfs2 start Mounting GFS2 filesystem (/mnt/gfsA): [ OK ] Mounting GFS2 filesystem (/mnt/gfsB): [ OK ] service rgmanager start Starting Cluster Service Manager: [ OK ]",
"service cman start Starting cluster: Checking Network Manager... [ OK ] Global setup... [ OK ] Loading kernel modules... [ OK ] Mounting configfs... [ OK ] Starting cman... [ OK ] Waiting for quorum... [ OK ] Starting fenced... [ OK ] Starting dlm_controld... [ OK ] Starting gfs_controld... [ OK ] Unfencing self... [ OK ] Joining fence domain... [ OK ] service clvmd start Starting clvmd: [ OK ] Activating VG(s): 2 logical volume(s) in volume group \"vg_example\" now active [ OK ] service gfs2 start Mounting GFS2 filesystem (/mnt/gfsA): [ OK ] Mounting GFS2 filesystem (/mnt/gfsB): [ OK ] service rgmanager start Starting Cluster Service Manager: [ OK ]",
"clustat Cluster Status for mycluster @ Wed Nov 17 05:40:00 2010 Member Status: Quorate Member Name ID Status ------ ---- ---- ------ node-03.example.com 3 Online, rgmanager node-02.example.com 2 Online, rgmanager node-01.example.com 1 Online, Local, rgmanager Service Name Owner (Last) State ------- ---- ----- ------ ----- service:example_apache node-01.example.com started service:example_apache2 (none) disabled",
"cman_tool status Version: 6.2.0 Config Version: 19 Cluster Name: mycluster Cluster Id: 3794 Cluster Member: Yes Cluster Generation: 548 Membership state: Cluster-Member Nodes: 3 Expected votes: 3 Total votes: 3 Node votes: 1 Quorum: 2 Active subsystems: 9 Flags: Ports Bound: 0 11 177 Node name: node-01.example.com Node ID: 3 Multicast addresses: 239.192.14.224 Node addresses: 10.15.90.58"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/cluster_administration/s2-admin-manage-nodes-add-cli-CA |
Chapter 5. Role [rbac.authorization.k8s.io/v1] | Chapter 5. Role [rbac.authorization.k8s.io/v1] Description Role is a namespaced, logical grouping of PolicyRules that can be referenced as a unit by a RoleBinding. Type object 5.1. Specification Property Type Description apiVersion string APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources kind string Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds metadata ObjectMeta Standard object's metadata. rules array Rules holds all the PolicyRules for this Role rules[] object PolicyRule holds information that describes a policy rule, but does not contain information about who the rule applies to or which namespace the rule applies to. 5.1.1. .rules Description Rules holds all the PolicyRules for this Role Type array 5.1.2. .rules[] Description PolicyRule holds information that describes a policy rule, but does not contain information about who the rule applies to or which namespace the rule applies to. Type object Required verbs Property Type Description apiGroups array (string) APIGroups is the name of the APIGroup that contains the resources. If multiple API groups are specified, any action requested against one of the enumerated resources in any API group will be allowed. "" represents the core API group and "*" represents all API groups. nonResourceURLs array (string) NonResourceURLs is a set of partial urls that a user should have access to. *s are allowed, but only as the full, final step in the path Since non-resource URLs are not namespaced, this field is only applicable for ClusterRoles referenced from a ClusterRoleBinding. Rules can either apply to API resources (such as "pods" or "secrets") or non-resource URL paths (such as "/api"), but not both. resourceNames array (string) ResourceNames is an optional white list of names that the rule applies to. An empty set means that everything is allowed. resources array (string) Resources is a list of resources this rule applies to. '*' represents all resources. verbs array (string) Verbs is a list of Verbs that apply to ALL the ResourceKinds contained in this rule. '*' represents all verbs. 5.2. API endpoints The following API endpoints are available: /apis/rbac.authorization.k8s.io/v1/roles GET : list or watch objects of kind Role /apis/rbac.authorization.k8s.io/v1/watch/roles GET : watch individual changes to a list of Role. deprecated: use the 'watch' parameter with a list operation instead. /apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles DELETE : delete collection of Role GET : list or watch objects of kind Role POST : create a Role /apis/rbac.authorization.k8s.io/v1/watch/namespaces/{namespace}/roles GET : watch individual changes to a list of Role. deprecated: use the 'watch' parameter with a list operation instead. /apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles/{name} DELETE : delete a Role GET : read the specified Role PATCH : partially update the specified Role PUT : replace the specified Role /apis/rbac.authorization.k8s.io/v1/watch/namespaces/{namespace}/roles/{name} GET : watch changes to an object of kind Role. deprecated: use the 'watch' parameter with a list operation instead, filtered to a single item with the 'fieldSelector' parameter. 5.2.1. /apis/rbac.authorization.k8s.io/v1/roles Table 5.1. Global query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. pretty string If 'true', then the output is pretty printed. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. HTTP method GET Description list or watch objects of kind Role Table 5.2. HTTP responses HTTP code Reponse body 200 - OK RoleList schema 401 - Unauthorized Empty 5.2.2. /apis/rbac.authorization.k8s.io/v1/watch/roles Table 5.3. Global query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. pretty string If 'true', then the output is pretty printed. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. HTTP method GET Description watch individual changes to a list of Role. deprecated: use the 'watch' parameter with a list operation instead. Table 5.4. HTTP responses HTTP code Reponse body 200 - OK WatchEvent schema 401 - Unauthorized Empty 5.2.3. /apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles Table 5.5. Global path parameters Parameter Type Description namespace string object name and auth scope, such as for teams and projects Table 5.6. Global query parameters Parameter Type Description pretty string If 'true', then the output is pretty printed. HTTP method DELETE Description delete collection of Role Table 5.7. Query parameters Parameter Type Description continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. gracePeriodSeconds integer The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. orphanDependents boolean Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the "orphan" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. propagationPolicy string Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. Table 5.8. Body parameters Parameter Type Description body DeleteOptions schema Table 5.9. HTTP responses HTTP code Reponse body 200 - OK Status schema 401 - Unauthorized Empty HTTP method GET Description list or watch objects of kind Role Table 5.10. Query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. Table 5.11. HTTP responses HTTP code Reponse body 200 - OK RoleList schema 401 - Unauthorized Empty HTTP method POST Description create a Role Table 5.12. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed fieldManager string fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint . fieldValidation string fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields, provided that the ServerSideFieldValidation feature gate is also enabled. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23 and is the default behavior when the ServerSideFieldValidation feature gate is disabled. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default when the ServerSideFieldValidation feature gate is enabled. - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. Table 5.13. Body parameters Parameter Type Description body Role schema Table 5.14. HTTP responses HTTP code Reponse body 200 - OK Role schema 201 - Created Role schema 202 - Accepted Role schema 401 - Unauthorized Empty 5.2.4. /apis/rbac.authorization.k8s.io/v1/watch/namespaces/{namespace}/roles Table 5.15. Global path parameters Parameter Type Description namespace string object name and auth scope, such as for teams and projects Table 5.16. Global query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. pretty string If 'true', then the output is pretty printed. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. HTTP method GET Description watch individual changes to a list of Role. deprecated: use the 'watch' parameter with a list operation instead. Table 5.17. HTTP responses HTTP code Reponse body 200 - OK WatchEvent schema 401 - Unauthorized Empty 5.2.5. /apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles/{name} Table 5.18. Global path parameters Parameter Type Description name string name of the Role namespace string object name and auth scope, such as for teams and projects Table 5.19. Global query parameters Parameter Type Description pretty string If 'true', then the output is pretty printed. HTTP method DELETE Description delete a Role Table 5.20. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed gracePeriodSeconds integer The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. orphanDependents boolean Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the "orphan" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. propagationPolicy string Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. Table 5.21. Body parameters Parameter Type Description body DeleteOptions schema Table 5.22. HTTP responses HTTP code Reponse body 200 - OK Status schema 202 - Accepted Status schema 401 - Unauthorized Empty HTTP method GET Description read the specified Role Table 5.23. HTTP responses HTTP code Reponse body 200 - OK Role schema 401 - Unauthorized Empty HTTP method PATCH Description partially update the specified Role Table 5.24. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed fieldManager string fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint . This field is required for apply requests (application/apply-patch) but optional for non-apply patch types (JsonPatch, MergePatch, StrategicMergePatch). fieldValidation string fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields, provided that the ServerSideFieldValidation feature gate is also enabled. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23 and is the default behavior when the ServerSideFieldValidation feature gate is disabled. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default when the ServerSideFieldValidation feature gate is enabled. - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. force boolean Force is going to "force" Apply requests. It means user will re-acquire conflicting fields owned by other people. Force flag must be unset for non-apply patch requests. Table 5.25. Body parameters Parameter Type Description body Patch schema Table 5.26. HTTP responses HTTP code Reponse body 200 - OK Role schema 201 - Created Role schema 401 - Unauthorized Empty HTTP method PUT Description replace the specified Role Table 5.27. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed fieldManager string fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint . fieldValidation string fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields, provided that the ServerSideFieldValidation feature gate is also enabled. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23 and is the default behavior when the ServerSideFieldValidation feature gate is disabled. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default when the ServerSideFieldValidation feature gate is enabled. - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. Table 5.28. Body parameters Parameter Type Description body Role schema Table 5.29. HTTP responses HTTP code Reponse body 200 - OK Role schema 201 - Created Role schema 401 - Unauthorized Empty 5.2.6. /apis/rbac.authorization.k8s.io/v1/watch/namespaces/{namespace}/roles/{name} Table 5.30. Global path parameters Parameter Type Description name string name of the Role namespace string object name and auth scope, such as for teams and projects Table 5.31. Global query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. pretty string If 'true', then the output is pretty printed. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. HTTP method GET Description watch changes to an object of kind Role. deprecated: use the 'watch' parameter with a list operation instead, filtered to a single item with the 'fieldSelector' parameter. Table 5.32. HTTP responses HTTP code Reponse body 200 - OK WatchEvent schema 401 - Unauthorized Empty | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.13/html/rbac_apis/role-rbac-authorization-k8s-io-v1 |
OpenShift Dedicated clusters on AWS | OpenShift Dedicated clusters on AWS OpenShift Dedicated 4 Installing OpenShift Dedicated clusters on AWS Red Hat OpenShift Documentation Team | null | https://docs.redhat.com/en/documentation/openshift_dedicated/4/html-single/openshift_dedicated_clusters_on_aws/index |
7.75. httpd | 7.75. httpd 7.75.1. RHSA-2015:1249 - Low: httpd security, bug fix, and enhancement update Updated httpd packages that fix one security issue, several bugs, and add one enhancement are now available for Red Hat Enterprise Linux 6. Red Hat Product Security has rated this update as having Low security impact. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available from the CVE link in the References section. The httpd packages provide the Apache HTTP Server, a powerful, efficient, and extensible web server. Security Fix CVE-2013-5704 A flaw was found in the way httpd handled HTTP Trailer headers when processing requests using chunked encoding. A malicious client could use Trailer headers to set additional HTTP headers after header processing was performed by other modules. This could, for example, lead to a bypass of header restrictions defined with mod_headers. Bug Fixes BZ# 1149906 The order of mod_proxy workers was not checked when httpd configuration was reloaded. When mod_proxy workers were removed, added, or their order was changed, their parameters and scores could become mixed. The order of mod_proxy workers has been made internally consistent during configuration reload. BZ# 906476 The local host certificate created during firstboot contained CA extensions, which caused the httpd service to return warning messages. This has been addressed by local host certificates being generated with the "-extensions v3_req" option. BZ# 1086771 The default mod_ssl configuration no longer enables support for SSL cipher suites using the single DES, IDEA, or SEED encryption algorithms. BZ# 963146 The apachectl script did not take into account the HTTPD_LANG variable set in the /etc/sysconfig/httpd file during graceful restarts. Consequently, httpd did not use a changed value of HTTPD_LANG when the daemon was restarted gracefully. The script has been fixed to handle the HTTPD_LANG variable correctly. BZ# 1057695 The mod_deflate module failed to check the original file size while extracting files larger than 4 GB, making it impossible to extract large files. Now, mod_deflate checks the original file size properly according to RFC1952, and it is able to decompress files larger than 4 GB. BZ# 1146194 The httpd service did not check configuration before restart. When a configuration contained an error, an attempt to restart httpd gracefully failed. Now, httpd checks configuration before restart and if the configuration is in an inconsistent state, an error message is printed, httpd is not stopped and a restart is not performed. BZ# 1149703 The SSL_CLIENT_VERIFY environment variable was incorrectly handled when the "SSLVerifyClient optional_no_ca" and "SSLSessionCache" options were used. When an SSL session was resumed, the SSL_CLIENT_VERIFY value was set to "SUCCESS" instead of the previously set "GENEROUS". SSL_CLIENT_VERIFY is now correctly set to GENEROUS in this scenario. BZ# 1045477 The ab utility did not correctly handle situations when an SSL connection was closed after some data had already been read. As a consequence, ab did not work correctly with SSL servers and printed "SSL read failed" error messages. With this update, ab works as expected with HTTPS servers. BZ# 1161328 When a client presented a revoked certificate, log entries were created only at the debug level. The log level of messages regarding a revoked certificate has been increased to INFO, and administrators are now properly informed of this situation. Enhancement BZ# 767130 A mod_proxy worker can now be set into drain mode (N) using the balancer-manager web interface or using the httpd configuration file. A worker in drain mode accepts only existing sticky sessions destined for itself and ignores all other requests. The worker waits until all clients currently connected to this worker complete their work before the worker is stopped. As a result, drain mode enables to perform maintenance on a worker without affecting clients. Users of httpd are advised to upgrade to these updated packages, which contain backported patches to correct these issues and add this enhancement. After installing the updated packages, the httpd service will be restarted automatically. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/6.7_technical_notes/package-httpd |
Index | Index Symbols /lib/udev/rules.d directory, udev Integration with the Device Mapper A activating logical volumes individual nodes, Activating Logical Volumes on Individual Nodes in a Cluster activating volume groups, Activating and Deactivating Volume Groups administrative procedures, LVM Administration Overview allocation, LVM Allocation policy, Creating Volume Groups preventing, Preventing Allocation on a Physical Volume archive file, Logical Volume Backup , Backing Up Volume Group Metadata B backup file, Logical Volume Backup metadata, Logical Volume Backup , Backing Up Volume Group Metadata backup file, Backing Up Volume Group Metadata block device scanning, Scanning for Block Devices C cache file building, Scanning Disks for Volume Groups to Build the Cache File cache logical volume creation, Creating LVM Cache Logical Volumes cache volumes, Cache Volumes cluster environment, LVM Logical Volumes in a Red Hat High Availability Cluster CLVM definition, LVM Logical Volumes in a Red Hat High Availability Cluster command line units, Using CLI Commands configuration examples, LVM Configuration Examples creating logical volume, Creating Linear Logical Volumes logical volume, example, Creating an LVM Logical Volume on Three Disks physical volumes, Creating Physical Volumes striped logical volume, example, Creating a Striped Logical Volume volume group, clustered, Creating Volume Groups in a Cluster volume groups, Creating Volume Groups creating LVM volumes overview, Logical Volume Creation Overview D data relocation, online, Online Data Relocation deactivating volume groups, Activating and Deactivating Volume Groups device numbers major, Persistent Device Numbers minor, Persistent Device Numbers persistent, Persistent Device Numbers device path names, Using CLI Commands device scan filters, Controlling LVM Device Scans with Filters device size, maximum, Creating Volume Groups device special file directory, Creating Volume Groups display sorting output, Sorting LVM Reports displaying logical volumes, Displaying Logical Volumes , The lvs Command physical volumes, Displaying Physical Volumes , The pvs Command volume groups, Displaying Volume Groups , The vgs Command E extent allocation, Creating Volume Groups , LVM Allocation definition, Volume Groups , Creating Volume Groups F features, new and changed, New and Changed Features file system growing on a logical volume, Growing a File System on a Logical Volume filters, Controlling LVM Device Scans with Filters G growing file system logical volume, Growing a File System on a Logical Volume H help display, Using CLI Commands I initializing partitions, Initializing Physical Volumes physical volumes, Initializing Physical Volumes Insufficient Free Extents message, Insufficient Free Extents for a Logical Volume L linear logical volume converting to mirrored, Changing Mirrored Volume Configuration creation, Creating Linear Logical Volumes definition, Linear Volumes logging, Logging logical volume activation, Controlling Logical Volume Activation administration, general, Logical Volume Administration cache, Creating LVM Cache Logical Volumes changing parameters, Changing the Parameters of a Logical Volume Group creation, Creating Linear Logical Volumes creation example, Creating an LVM Logical Volume on Three Disks definition, Logical Volumes , LVM Logical Volumes displaying, Displaying Logical Volumes , Customized Reporting for LVM , The lvs Command exclusive access, Activating Logical Volumes on Individual Nodes in a Cluster extending, Growing Logical Volumes growing, Growing Logical Volumes historical, Tracking and Displaying Historical Logical Volumes (Red Hat Enterprise Linux 7.3 and Later) linear, Creating Linear Logical Volumes local access, Activating Logical Volumes on Individual Nodes in a Cluster lvs display arguments, The lvs Command mirrored, Creating Mirrored Volumes reducing, Shrinking Logical Volumes removing, Removing Logical Volumes renaming, Renaming Logical Volumes snapshot, Creating Snapshot Volumes striped, Creating Striped Volumes thinly-provisioned, Creating Thinly-Provisioned Logical Volumes thinly-provisioned snapshot, Creating Thinly-Provisioned Snapshot Volumes lvchange command, Changing the Parameters of a Logical Volume Group lvconvert command, Changing Mirrored Volume Configuration lvcreate command, Creating Linear Logical Volumes lvdisplay command, Displaying Logical Volumes lvextend command, Growing Logical Volumes LVM architecture overview, LVM Architecture Overview clustered, LVM Logical Volumes in a Red Hat High Availability Cluster components, LVM Architecture Overview , LVM Components custom report format, Customized Reporting for LVM directory structure, Creating Volume Groups help, Using CLI Commands label, Physical Volumes logging, Logging logical volume administration, Logical Volume Administration physical volume administration, Physical Volume Administration physical volume, definition, Physical Volumes volume group, definition, Volume Groups lvmdiskscan command, Scanning for Block Devices lvmetad daemon, The Metadata Daemon (lvmetad) lvreduce command, Shrinking Logical Volumes lvremove command, Removing Logical Volumes lvrename command, Renaming Logical Volumes lvs command, Customized Reporting for LVM , The lvs Command display arguments, The lvs Command lvscan command, Displaying Logical Volumes M man page display, Using CLI Commands metadata backup, Logical Volume Backup , Backing Up Volume Group Metadata recovery, Recovering Physical Volume Metadata metadata daemon, The Metadata Daemon (lvmetad) mirrored logical volume clustered, Creating a Mirrored LVM Logical Volume in a Cluster converting to linear, Changing Mirrored Volume Configuration creation, Creating Mirrored Volumes failure policy, Mirrored Logical Volume Failure Policy failure recovery, Recovering from LVM Mirror Failure reconfiguration, Changing Mirrored Volume Configuration mirror_image_fault_policy configuration parameter, Mirrored Logical Volume Failure Policy mirror_log_fault_policy configuration parameter, Mirrored Logical Volume Failure Policy O online data relocation, Online Data Relocation overview features, new and changed, New and Changed Features P partition type, setting, Setting the Partition Type partitions multiple, Multiple Partitions on a Disk path names, Using CLI Commands persistent device numbers, Persistent Device Numbers physical extent preventing allocation, Preventing Allocation on a Physical Volume physical volume adding to a volume group, Adding Physical Volumes to a Volume Group administration, general, Physical Volume Administration creating, Creating Physical Volumes definition, Physical Volumes display, The pvs Command displaying, Displaying Physical Volumes , Customized Reporting for LVM illustration, LVM Physical Volume Layout initializing, Initializing Physical Volumes layout, LVM Physical Volume Layout pvs display arguments, The pvs Command recovery, Replacing a Missing Physical Volume removing, Removing Physical Volumes removing from volume group, Removing Physical Volumes from a Volume Group removing lost volume, Removing Lost Physical Volumes from a Volume Group resizing, Resizing a Physical Volume pvdisplay command, Displaying Physical Volumes pvmove command, Online Data Relocation pvremove command, Removing Physical Volumes pvresize command, Resizing a Physical Volume pvs command, Customized Reporting for LVM display arguments, The pvs Command pvscan command, Displaying Physical Volumes R RAID logical volume, RAID Logical Volumes extending, Extending a RAID Volume growing, Extending a RAID Volume reducing logical volume, Shrinking Logical Volumes removing disk from a logical volume, Removing a Disk from a Logical Volume logical volume, Removing Logical Volumes physical volumes, Removing Physical Volumes renaming logical volume, Renaming Logical Volumes volume group, Renaming a Volume Group report format, LVM devices, Customized Reporting for LVM resizing physical volume, Resizing a Physical Volume rules.d directory, udev Integration with the Device Mapper S scanning block devices, Scanning for Block Devices scanning devices, filters, Controlling LVM Device Scans with Filters snapshot logical volume creation, Creating Snapshot Volumes snapshot volume definition, Snapshot Volumes striped logical volume creation, Creating Striped Volumes creation example, Creating a Striped Logical Volume definition, Striped Logical Volumes extending, Extending a Striped Volume growing, Extending a Striped Volume T thin snapshot volume, Thinly-Provisioned Snapshot Volumes thin volume creation, Creating Thinly-Provisioned Logical Volumes thinly-provisioned logical volume, Thinly-Provisioned Logical Volumes (Thin Volumes) creation, Creating Thinly-Provisioned Logical Volumes thinly-provisioned snapshot logical volume creation, Creating Thinly-Provisioned Snapshot Volumes thinly-provisioned snapshot volume, Thinly-Provisioned Snapshot Volumes troubleshooting, LVM Troubleshooting U udev device manager, Device Mapper Support for the udev Device Manager udev rules, udev Integration with the Device Mapper units, command line, Using CLI Commands V verbose output, Using CLI Commands vgcfgbackup command, Backing Up Volume Group Metadata vgcfgrestore command, Backing Up Volume Group Metadata vgchange command, Changing the Parameters of a Volume Group vgcreate command, Creating Volume Groups , Creating Volume Groups in a Cluster vgdisplay command, Displaying Volume Groups vgexport command, Moving a Volume Group to Another System vgextend command, Adding Physical Volumes to a Volume Group vgimport command, Moving a Volume Group to Another System vgmerge command, Combining Volume Groups vgmknodes command, Recreating a Volume Group Directory vgreduce command, Removing Physical Volumes from a Volume Group vgrename command, Renaming a Volume Group vgs command, Customized Reporting for LVM display arguments, The vgs Command vgscan command, Scanning Disks for Volume Groups to Build the Cache File vgsplit command, Splitting a Volume Group volume group activating, Activating and Deactivating Volume Groups administration, general, Volume Group Administration changing parameters, Changing the Parameters of a Volume Group combining, Combining Volume Groups creating, Creating Volume Groups creating in a cluster, Creating Volume Groups in a Cluster deactivating, Activating and Deactivating Volume Groups definition, Volume Groups displaying, Displaying Volume Groups , Customized Reporting for LVM , The vgs Command extending, Adding Physical Volumes to a Volume Group growing, Adding Physical Volumes to a Volume Group merging, Combining Volume Groups moving between systems, Moving a Volume Group to Another System reducing, Removing Physical Volumes from a Volume Group removing, Removing Volume Groups renaming, Renaming a Volume Group shrinking, Removing Physical Volumes from a Volume Group splitting, Splitting a Volume Group example procedure, Splitting a Volume Group vgs display arguments, The vgs Command | null | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/logical_volume_manager_administration/ix01 |
Chapter 9. PackageKit | Chapter 9. PackageKit Red Hat provides PackageKit for viewing, managing, updating, installing and uninstalling packages compatible with your system. PackageKit consists of several graphical interfaces that can be opened from the GNOME panel menu, or from the Notification Area when PackageKit alerts you that updates are available. For more information on PackageKit's architecture and available front ends, see Section 9.3, "PackageKit Architecture" . 9.1. Updating Packages with Software Update PackageKit displays a starburst icon in the Notification Area whenever updates are available to be installed on your system. Figure 9.1. PackageKit's icon in the Notification Area Clicking on the notification icon opens the Software Update window. Alternatively, you can open Software Updates by clicking System Administration Software Update from the GNOME panel, or running the gpk-update-viewer command at the shell prompt. In the Software Updates window, all available updates are listed along with the names of the packages being updated (minus the .rpm suffix, but including the CPU architecture), a short summary of the package, and, usually, short descriptions of the changes the update provides. Any updates you do not want to install can be de-selected here by unchecking the check box corresponding to the update. Figure 9.2. Installing updates with Software Update The updates presented in the Software Updates window only represent the currently-installed packages on your system for which updates are available; dependencies of those packages, whether they are existing packages on your system or new ones, are not shown until you click Install Updates . PackageKit utilizes the fine-grained user authentication capabilities provided by the PolicyKit toolkit whenever you request it to make changes to the system. Whenever you instruct PackageKit to update, install or remove packages, you will be prompted to enter the superuser password before changes are made to the system. If you instruct PackageKit to update the kernel package, then it will prompt you after installation, asking you whether you want to reboot the system and thereby boot into the newly-installed kernel. Setting the Update-Checking Interval Right-clicking on PackageKit's Notification Area icon and clicking Preferences opens the Software Update Preferences window, where you can define the interval at which PackageKit checks for package updates, as well as whether or not to automatically install all updates or only security updates. Leaving the Check for updates when using mobile broadband box unchecked is handy for avoiding extraneous bandwidth usage when using a wireless connection on which you are charged for the amount of data you download. Figure 9.3. Setting PackageKit's update-checking interval | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/deployment_guide/ch-PackageKit |
B.2. Using KVM Virtualization on IBM Z | B.2. Using KVM Virtualization on IBM Z Installation On IBM Z hosts, the KVM hypervisor has to be installed in a dedicated logical partition (LPAR). Running KVM on the z/VM OS is not supported. The LPAR also has to support the start-interpretive execution (SIE) virtualization extensions. To install KVM Virtualization on Red Hat Enterprise Linux 7 for IBM Z: Install the host system from the bootable image on the Customer Portal - for detailed instructions, see the Installation guide . Ensure that your system meets the hypervisor requirements: Verify that the CPU virtualization extensions are available: The output of this command must include the sie entry, which indicates that your processor has the required virtualization extension. Load the KVM kernel module: Verify that the KVM kernel module is loaded: If KVM was loaded successfully, the output of this command includes kvm . If it does not, make sure that you are using the kernel-alt version of the kernel for Red Hat Enterprise Linux 7. Install the qemu-kvm-ma package in addition to other virtualization packages described in Chapter 2, Installing the Virtualization Packages . When setting up guests, it is recommended to configure their CPU in one of the following ways to protect the guests from the "Spectre" vulnerability: Use the host CPU model, for example as follows: <cpu mode='host-model' check='partial'> <model fallback='allow'/> </cpu> This makes the ppa15 and bpb features available to the guest if the host supports them. If using a specific host model, add the ppa15 and bpb features. The following example uses the zEC12 CPU model: <cpu mode='custom' match='exact' check='partial'> <model fallback='allow'>zEC12</model> <feature policy='force' name='ppa15'/> <feature policy='force' name='bpb'/> </cpu> Note When using the ppa15 feature with the z114 and z196 CPU models on a z12 host machine, make sure to use the latest microcode level (bundle 95 or later). Architecture Specifics KVM Virtualization on Red Hat Enterprise Linux 7.5 for IBM Z differs from KVM on AMD64 and Intel 64 systems in the following: The SPICE and VNC protocols are not available and virtual graphical card devices are not supported on IBM Z. Therefore, displaying the guest graphical output is not possible. Virtual PCI and USB devices are not supported on IBM Z. This also means that virtio-*-pci devices are unsupported, and virtio-*-ccw devices should be used instead. For example, use virtio-net-ccw instead of virtio-net-pci . The <boot dev=' device '/> XML configuration element is not supported on IBM Z. To define device boot order, use the <boot order=' number '/> element in the <devices> section. For an example, see Specifying boot order . Note that using <boot order=' number '/> for boot order management is recommended on all architectures. SMBIOS configuration is not available. The watchdog device model used on IBM Z should be diag288 . To enable the nested virtualization feature on IBM Z, do the following. Note that like on AMD64 and Intel 64 systems, nested virtualization is available as a Technology Preview on IBM Z, and therefore is not recommended for use in production environments. Check whether nested virtualization is already enabled on your system: If this command returns 1 , the feature is already enabled. If the command returns 0 , use the following steps to enable it. Unload the kvm module: Activate the nesting feature: The nesting feature is now enabled only until the reboot of the host. To enable it permanently, add the following line to the /etc/modprobe.d/kvm.conf file: The kvm-clock service is specific to AMD64 and Intel 64 systems, and does not have to be configured for time management on IBM Z. | [
"grep sie /proc/cpuinfo",
"features : esan3 zarch stfle msa ldisp eimm dfp edat etf3eh highgprs te sie",
"modprobe kvm",
"lsmod | grep kvm",
"<cpu mode='host-model' check='partial'> <model fallback='allow'/> </cpu>",
"<cpu mode='custom' match='exact' check='partial'> <model fallback='allow'>zEC12</model> <feature policy='force' name='ppa15'/> <feature policy='force' name='bpb'/> </cpu>",
"cat /sys/module/kvm/parameters/nested",
"modprobe -r kvm",
"modprobe kvm nested=1",
"options kvm nested=1"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/virtualization_deployment_and_administration_guide/appe-KVM_on_zSystems |
Chapter 2. Adding trusted certificate authorities | Chapter 2. Adding trusted certificate authorities Learn how to add custom trusted certificate authorities to Red Hat Advanced Cluster Security for Kubernetes. If you are using an enterprise certificate authority (CA) on your network, or self-signed certificates, you must add the CA's root certificate to Red Hat Advanced Cluster Security for Kubernetes as a trusted root CA. Adding trusted root CAs allows: Central and Scanner to trust remote servers when you integrate with other tools. Sensor to trust custom certificates you use for Central. You can add additional CAs during the installation or on an existing deployment. Note You must first configure your trusted CAs in the cluster where you have deployed Central and then propagate the changes to Scanner and Sensor. 2.1. Configuring additional CAs To add custom CAs: Procedure Download the ca-setup.sh script. Note If you are doing a new installation, you can find the ca-setup.sh script in the scripts directory at central-bundle/central/scripts/ca-setup.sh . You must run the ca-setup.sh script in the same terminal from which you logged into your OpenShift Container Platform cluster. Make the ca-setup.sh script executable: USD chmod +x ca-setup.sh To add: A single certificate, use the -f (file) option: USD ./ca-setup.sh -f <certificate> Note You must use a PEM-encoded certificate file (with any extension). You can also use the -u (update) option along with the -f option to update any previously added certificate. Multiple certificates at once, move all certificates in a directory, and then use the -d (directory) option: USD ./ca-setup.sh -d <directory_name> Note You must use PEM-encoded certificate files with a .crt or .pem extension. Each file must only contain a single certificate. You can also use the -u (update) option along with the -d option to update any previously added certificates. 2.2. Propagating changes After you configure trusted CAs, you must make Red Hat Advanced Cluster Security for Kubernetes services trust them. If you have configured trusted CAs after the installation, you must restart Central. Additionally, if you are also adding certificates for integrating with image registries, you must restart both Central and Scanner. 2.2.1. Restarting the Central container You can restart the Central container by killing the Central container or by deleting the Central pod. Procedure Run the following command to kill the Central container: Note You must wait for at least 1 minute, until OpenShift Container Platform propagates your changes and restarts the Central container. USD oc -n stackrox exec deploy/central -c central -- kill 1 Or, run the following command to delete the Central pod: USD oc -n stackrox delete pod -lapp=central 2.2.2. Restarting the Scanner container You can restart the Scanner container by deleting the pod. Procedure Run the following command to delete the Scanner pod: On OpenShift Container Platform: USD oc delete pod -n stackrox -l app=scanner On Kubernetes: USD kubectl delete pod -n stackrox -l app=scanner Important After you have added trusted CAs and configured Central, the CAs are included in any new Sensor deployment bundles that you create. If an existing Sensor reports problems while connecting to Central, you must generate a Sensor deployment YAML file and update existing clusters. If you are deploying a new Sensor using the sensor.sh script, run the following command before you run the sensor.sh script: USD ./ca-setup-sensor.sh -d ./additional-cas/ If you are deploying a new Sensor using Helm, you do not have to run any additional scripts. | [
"chmod +x ca-setup.sh",
"./ca-setup.sh -f <certificate>",
"./ca-setup.sh -d <directory_name>",
"oc -n stackrox exec deploy/central -c central -- kill 1",
"oc -n stackrox delete pod -lapp=central",
"oc delete pod -n stackrox -l app=scanner",
"kubectl delete pod -n stackrox -l app=scanner",
"./ca-setup-sensor.sh -d ./additional-cas/"
] | https://docs.redhat.com/en/documentation/red_hat_advanced_cluster_security_for_kubernetes/4.5/html/configuring/add-trusted-ca |
Chapter 1. Event-Driven Ansible controller overview | Chapter 1. Event-Driven Ansible controller overview Event-Driven Ansible is a highly scalable, flexible automation capability that works with event sources such as other software vendors' monitoring tools. These tools monitor IT solutions and identify events and automatically implement the documented changes or response in a rulebook to handle that event. The following procedures form the user configuration: Credentials Credential types Projects Decision environments Simplified event routing Red Hat Ansible Automation Platform credential Rulebook activations Rulebook activations troubleshooting Rule audit Performance tuning for Event-Driven Ansible controller Event filter plugins Event-Driven Ansible logging strategy Note API documentation for Event-Driven Ansible controller is available at https://<gateway-host>/api/eda/v1/docs To meet high availability demands, Event-Driven Ansible controller shares centralized Redis (REmote DIctionary Server) with the Ansible Automation Platform UI. When Redis is unavailable, you will not be able to create or sync projects, or enable rulebook activations. Additional resources For information on how to set user permissions for Event-Driven Ansible controller, see the following in the Access management and authentication guide : Adding roles for a user Roles If you plan to use Event-Driven Ansible 2.5 with a 2.4 Ansible Automation Platform, see Using Event-Driven Ansible 2.5 with Ansible Automation Platform 2.4 . | null | https://docs.redhat.com/en/documentation/red_hat_ansible_automation_platform/2.5/html/using_automation_decisions/eda-user-guide-overview |
Chapter 11. Managing file systems in image mode for RHEL | Chapter 11. Managing file systems in image mode for RHEL Currently, image mode for RHEL uses OSTree as a backend, and enables composefs for storage by default. The /opt and /usr/local paths are plain directories, and not symbolic links into /var . This enables you to easily install third-party content in derived container images that write into /opt for example. 11.1. Physical and logical root with /sysroot When a system is fully booted, it is similar to chroot , that is, the operating system changes the apparent root directory for the current running process and its children. The physical host root filesystem is mounted at /sysroot . The chroot filesystem is called a deployment root. The remaining filesystem paths are part of a deployment root which is used as a final target for the system boot. The system uses the ostree=kernel argument to find the deployment root. /usr This filesystem keeps all operating system content in /usr , with directories such as /bin working as symbolic links to /usr/bin . Note composefs enabled /usr is not different from / . Both directories are part of the same immutable image, so you do not need to perform a full UsrMove with a bootc system. /usr/local The base image is configured with /usr/local as the default directory. /etc The /etc directory contains mutable persistent state by default, but it supports enabling the etc.transient config option. When the directory is in mutable persistent state, it performs a 3-way merge across upgrades: Uses the new default /etc as a base Applies the diff between current and /etc to the new /etc directory Retains locally modified files that are different from the default /usr/etc of the same deployment in /etc . The ostree-finalize-staged.service executes these tasks during shutdown time, before creating the new boot loader entry. This happens because many components of a Linux system ship default configuration files in the /etc directory. Even if the default package does not ship it, by default the software only checks for config files in /etc . Non bootc image based update systems with no distinct versions of /etc are populated only during the installation time, and will not be changed at any point after installation. This causes the /etc system state to be influenced by the initial image version and can lead to problems to apply a change, for example, to /etc/sudoers.conf , and requires external intervention. For more details about file configuration, see Building and testing RHEL bootc images . /var The content in the /var directory is persistent by default. You can also make /var or subdirectories mount points be persistent, whether network or tmpfs . There is just one /var directory. If it is not a distinct partition, then physically the /var directory is a bind mount into /ostree/deploy/USDstateroot/var and is shared across the available boot loader entries deployments. By default, the content in /var acts as a volume, that is, the content from the container image is copied during the initial installation time, and is not updated thereafter. The /var and the /etc directories are different. You can use /etc for relatively small configuration files, and the expected configuration files are often bound to the operating system binaries in /usr . The /var directory has arbitrarily large data, for example, system logs, databases, and by default, will not be rolled back if the operating system state is rolled back. For example, making an update such as dnf downgrade postgresql should not affect the physical database in /var/lib/postgres . Similarly, making a bootc update or bootc rollback do not affect this application data. Having /var separate also makes it work cleanly to stage new operating system updates before applying them, that is, updates are downloaded and ready, but only take effect on reboot. The same applies for Docker volume, as it decouples the application code from its data. You can use this case if you want applications to have a pre-created directory structure, for example, /var/lib/postgresql . Use systemd tmpfiles.d for this. You can also use StateDirectory= <directory> in units. Other directories There is no support to ship content in /run , /proc or other API Filesystems in container images. Apart from that, other top level directories such as /usr , and /opt , are lifecycled with the container image. /opt With bootc using composefs , the /opt directory is read-only, alongside other top level directories such as /usr . When a software needs to write to its own directory in /opt/exampleapp , a common pattern is to use a symbolic link to redirect to, for example, /var for operations such as log files: Optionally, you can configure the systemd unit to launch the service to do these mounts dynamically. For example: Enabling transient root To enable a software to transiently (until the reboot) write to all top-level directories, including /usr and /opt , with symlinks to /var for content that should persist, you can enable transient root. To enable a fully transient writable rootfs by default, set the following option in /usr/lib/ostree/prepare-root.conf . This enables a software to transiently write to /opt , with symlinks to /var for content that must persist. Additional resources Enabling transient root documentation 11.2. Version selection and bootup Image mode for RHEL uses GRUB by default, with exception to s390x architectures. Each version of image mode for RHEL currently available on a system has a menu entry. The menu entry references an OSTree deployment which consists of a Linux kernel, an initramfs and a hash linking to an OSTree commit, that you can pass by using the ostree=kernel argument. During bootup, OSTree reads the kernel argument to determine which deployment to use as the root filesystem. Each update or change to the system, such as package installation, addition of kernel arguments, creates a new deployment. This enables rolling back to a deployment if the update causes problems. | [
"RUN rmdir /opt/exampleapp/logs && ln -sr /var/log/exampleapp /opt/exampleapp/logs",
"BindPaths=/var/log/exampleapp:/opt/exampleapp/logs",
"[root] transient = true"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/9/html/using_image_mode_for_rhel_to_build_deploy_and_manage_operating_systems/managing-file-systems-in-image-mode-for-rhel |
Chapter 9. Generating a cryptographic key pair | Chapter 9. Generating a cryptographic key pair To ensure secure data transmission between the Red Hat Update Appliance (RHUA), content delivery system (CDS), and HAProxy nodes, and to use rhui-manager to set up those nodes, you must generate a key pair on the RHUA node and copy the public key to CDS and HAProxy nodes. You can generate either an RSA or an ECDSA key, depending on your use case. 9.1. Generating an RSA key pair The following steps explain how to generate an RSA key pair for version 2 of the SSH protocol. Procedure On the RHUA node, run the ssh-keygen command with the RSA argument, and save the key in the default location. Warning Leave the passphrase field blank. CDS installation and registration fails if you provide a passphrase while generating the key pair. Confirm that the permissions for the ~/.ssh/ directory are set to rwx------ , or 700 in octal notation. Copy the public key to the CDS and HAProxy nodes. 9.2. Generating an ecdsa key pair The following steps explain how to generate an ECDSA key pair for version 2 of the SSH protocol. Procedure On the RHUA node, run the ssh-keygen command with the ECDSA argument, and save the key in the default location. Warning Leave the passphrase field blank. CDS installation and registration fails if you provide a passphrase while generating the key pair. Confirm that the permissions for the ~/.ssh/ directory are set to rwx------ , or 700 in octal notation. Copy the public key to the CDS and HAProxy nodes. | [
"ssh-keygen -t rsa Generating public/private rsa key pair. Enter file in which to save the key (/home/USER/.ssh/id_rsa): Created directory '/home/USER/.ssh'. Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/USER/.ssh/id_rsa. Your public key has been saved in /home/USER/.ssh/id_rsa.pub. The key fingerprint is: e7:97:c7:e2:0e:f9:0e:fc:c4:d7:cb:e5:31:11:92:14 [email protected] The key's randomart image is: +--[ RSA 2048]----+ | E. | | . . | | o . | | . .| | S . . | | + o o ..| | * * +oo| | O +..=| | o* o.| +-----------------+",
"ls -ld ~/.ssh drwx------. 2 USER USER 54 Nov 25 16:56 /home/USER/.ssh/",
"ssh-copy-id user@<haproxy1> USD ssh-copy-id user@<cds1> USD ssh-copy-id user@<cds2>",
"ssh-keygen -t ecdsa Generating public/private ecdsa key pair. Enter file in which to save the key (/home/USER/.ssh/id_ecdsa): Created directory '/home/USER/.ssh'. Enter passphrase (empty for no passphrase): Enter same passphrase again: Your identification has been saved in /home/USER/.ssh/id_ecdsa. Your public key has been saved in /home/USER/.ssh/id_ecdsa.pub. The key fingerprint is: fd:1d:ca:10:52:96:21:43:7e:bd:4c:fc:5b:35:6b:63 [email protected] The key's randomart image is: +--[ECDSA 256]---+ | .+ +o | | . =.o | | o o + ..| | + + o +| | S o o oE.| | + oo+.| | + o | | | | | +-----------------+",
"ls -ld ~/.ssh drwx------. 2 USER USER 54 Nov 25 16:56 /home/USER/.ssh/",
"ssh-copy-id user@<haproxy1> USD ssh-copy-id user@<cds1> USD ssh-copy-id user@<cds2>"
] | https://docs.redhat.com/en/documentation/red_hat_update_infrastructure/4/html/installing_red_hat_update_infrastructure/assembly_generating-a-cryptographic-key-pair_installing-red-hat-update-infrastructure |
Chapter 4. Installing an IdM server: With integrated DNS, with an external CA as the root CA | Chapter 4. Installing an IdM server: With integrated DNS, with an external CA as the root CA Installing a new Identity Management (IdM) server with integrated DNS has the following advantages: You can automate much of the maintenance and DNS record management using native IdM tools. For example, DNS SRV records are automatically created during the setup, and later on are automatically updated. You can configure global forwarders during the installation of the IdM server for a stable external internet connection. Global forwarders are also useful for trusts with Active Directory. You can set up a DNS reverse zone to prevent emails from your domain to be considered spam by email servers outside of the IdM domain. Installing IdM with integrated DNS has certain limitations: IdM DNS is not meant to be used as a general-purpose DNS server. Some of the advanced DNS functions are not supported. For more information, see DNS services available in an IdM server . This chapter describes how you can install a new IdM server with an external certificate authority (CA) as the root CA. 4.1. Interactive installation During the interactive installation using the ipa-server-install utility, you are asked to supply basic configuration of the system, for example the realm, the administrator's password and the Directory Manager's password. The ipa-server-install installation script creates a log file at /var/log/ipaserver-install.log . If the installation fails, the log can help you identify the problem. Follow this procedure to install a server: With integrated DNS With an external certificate authority (CA) as the root CA Prerequisites You have determined the type of the external CA to specify with the --external-ca-type option. See the ipa-server-install (1) man page for details. If you are using a Microsoft Certificate Services certificate authority (MS CS CA) as your external CA: you have determined the certificate profile or template to specify with the --external-ca-profile option. By default, the SubCA template is used. For more information about the --external-ca-type and --external-ca-profile options, see Options used when installing an IdM CA with an external CA as the root CA . Procedure Run the ipa-server-install utility with the --external-ca option. If you are using the Microsoft Certificate Services (MS CS) CA, also use the --external-ca-type option and, optionally, the --external-ca-profile option: If you are not using MS CS to generate the signing certificate for your IdM CA, no other option may be necessary: The script prompts to configure an integrated DNS service. Enter yes or no . In this procedure, we are installing a server with integrated DNS. Note If you want to install a server without integrated DNS, the installation script will not prompt you for DNS configuration as described in the steps below. See Chapter 6, Installing an IdM server: Without integrated DNS, with an integrated CA as the root CA for details on the steps for installing a server without DNS. The script prompts for several required settings and offers recommended default values in brackets. To accept a default value, press Enter . To provide a custom value, enter the required value. Warning Plan these names carefully. You will not be able to change them after the installation is complete. Enter the passwords for the Directory Server superuser ( cn=Directory Manager ) and for the Identity Management (IdM) administration system user account ( admin ). The script prompts for per-server DNS forwarders. To configure per-server DNS forwarders, enter yes , and then follow the instructions on the command line. The installation process will add the forwarder IP addresses to the IdM LDAP. For the forwarding policy default settings, see the --forward-policy description in the ipa-dns-install (1) man page. If you do not want to use DNS forwarding, enter no . With no DNS forwarders, hosts in your IdM domain will not be able to resolve names from other, internal, DNS domains in your infrastructure. The hosts will only be left with public DNS servers to resolve their DNS queries. The script prompts to check if any DNS reverse (PTR) records for the IP addresses associated with the server need to be configured. If you run the search and missing reverse zones are discovered, the script asks you whether to create the reverse zones along with the PTR records. Note Using IdM to manage reverse zones is optional. You can use an external DNS service for this purpose instead. Enter yes to confirm the server configuration. During the configuration of the Certificate System instance, the utility prints the location of the certificate signing request (CSR): /root/ipa.csr : When this happens: Submit the CSR located in /root/ipa.csr to the external CA. The process differs depending on the service to be used as the external CA. Retrieve the issued certificate and the CA certificate chain for the issuing CA in a base 64-encoded blob (either a PEM file or a Base_64 certificate from a Windows CA). Again, the process differs for every certificate service. Usually, a download link on a web page or in the notification email allows the administrator to download all the required certificates. Important Be sure to get the full certificate chain for the CA, not just the CA certificate. Run ipa-server-install again, this time specifying the locations and names of the newly-issued CA certificate and the CA chain files. For example: The installation script now configures the server. Wait for the operation to complete. After the installation script completes, update your DNS records in the following way: Add DNS delegation from the parent domain to the IdM DNS domain. For example, if the IdM DNS domain is idm.example.com , add a name server (NS) record to the example.com parent domain. Important Repeat this step each time after an IdM DNS server is installed. Add an _ntp._udp service (SRV) record for your time server to your IdM DNS. The presence of the SRV record for the time server of the newly-installed IdM server in IdM DNS ensures that future replica and client installations are automatically configured to synchronize with the time server used by this primary IdM server. Note The ipa-server-install --external-ca command can sometimes fail with the following error: This failure occurs when the *_proxy environmental variables are set. For a solution of the problem, see Troubleshooting: External CA installation fails . 4.2. Troubleshooting: External CA installation fails The ipa-server-install --external-ca command fails with the following error: The env|grep proxy command displays variables such as the following: What this means: The *_proxy environmental variables are preventing the server from being installed. To fix the problem: Use the following shell script to unset the *_proxy environmental variables: Run the pkidestroy utility to remove the unsuccessful certificate authority (CA) subsystem installation: Remove the failed Identity Management (IdM) server installation: Retry running ipa-server-install --external-ca . Additional resources Failover, load-balancing, and high-availability in IdM | [
"ipa-server-install --external-ca",
"ipa-server-install --external-ca --external-ca-type=ms-cs --external-ca-profile= <oid>/<name>/default",
"ipa-server-install --external-ca",
"Do you want to configure integrated DNS (BIND)? [no]: yes",
"Server host name [ server.idm.example.com ]: Please confirm the domain name [ idm.example.com ]: Please provide a realm name [ IDM.EXAMPLE.COM ]:",
"Directory Manager password: IPA admin password:",
"Do you want to configure DNS forwarders? [yes]:",
"Do you want to search for missing reverse zones? [yes]:",
"Do you want to create reverse zone for IP 192.0.2.1 [yes]: Please specify the reverse zone name [2.0.192.in-addr.arpa.]: Using reverse zone(s) 2.0.192.in-addr.arpa.",
"Continue to configure the system with these values? [no]: yes",
"Configuring certificate server (pki-tomcatd): Estimated time 3 minutes 30 seconds [1/8]: creating certificate server user [2/8]: configuring certificate server instance The next step is to get /root/ipa.csr signed by your CA and re-run /sbin/ipa-server-install as: /sbin/ipa-server-install --external-cert-file=/path/to/signed_certificate --external-cert-file=/path/to/external_ca_certificate",
"ipa-server-install --external-cert-file= /tmp/servercert20170601.pem --external-cert-file= /tmp/cacert.pem",
"ipa : CRITICAL failed to configure ca instance Command '/usr/sbin/pkispawn -s CA -f /tmp/ configuration_file ' returned non-zero exit status 1 Configuration of CA failed",
"ipa : CRITICAL failed to configure ca instance Command '/usr/sbin/pkispawn -s CA -f /tmp/ configuration_file ' returned non-zero exit status 1 Configuration of CA failed",
"env|grep proxy http_proxy=http://example.com:8080 ftp_proxy=http://example.com:8080 https_proxy=http://example.com:8080",
"for i in ftp http https; do unset USD{i}_proxy; done",
"pkidestroy -s CA -i pki-tomcat; rm -rf /var/log/pki/pki-tomcat /etc/sysconfig/pki-tomcat /etc/sysconfig/pki/tomcat/pki-tomcat /var/lib/pki/pki-tomcat /etc/pki/pki-tomcat /root/ipa.csr",
"ipa-server-install --uninstall"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/8/html/installing_identity_management/installing-an-ipa-server-with-external-ca_installing-identity-management |
10.5. Supported Installation Targets | 10.5. Supported Installation Targets An installation target is a storage device that will store Red Hat Enterprise Linux and boot the system. Red Hat Enterprise Linux supports the following installation targets for AMD64 and Intel 64 systems: Storage connected by a standard internal interface, such as SCSI, SATA, or SAS Fibre Channel Host Bus Adapters and multipath devices. Some can require vendor-provided drivers. Virtualized installation on IBM Power Systems servers is also supported when using Virtual SCSI (vSCSI) adapters in virtual client LPARs Red Hat does not support installation to USB drives or SD memory cards. For information about the support for third-party virtualization technologies, see the Red Hat Hardware Compatibility List , available online at https://hardware.redhat.com . Important On IBM Power Systems servers, the eHEA module fails to initialize if 16GB huge pages are assigned to a system or partition and the kernel command line does not contain the huge page parameters. Therefore, when you perform a network installation through an IBM eHEA ethernet adapter, you cannot assign huge pages to the system or partition during the installation. Use large pages instead. | null | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/installation_guide/sect-installation-planning-supported-hardware-ppc |
Chapter 5. Configuring the Nagios Plugins for Ceph | Chapter 5. Configuring the Nagios Plugins for Ceph Configure the Nagios plug-ins for Red Hat Ceph Storage cluster. Prerequisites Root-level access to the Ceph Monitor host and Nagios Core Server. A running Red Hat Ceph Storage cluster. Procedure Log in to the Ceph monitor host and create a Ceph key and keyring for Nagios. Example Each plug-in will require authentication. Repeat this procedure for each host that contains a plug-in. Add a command for the check_ceph_health plug-in: Example Enable and restart the nrpe service: Example Repeat this procedure for each Ceph plug-in applicable to the host. Return to the Nagios Core server and define a check_nrpe command for the NRPE plug-in: Example Syntax On the Nagios Core server, edit the configuration file for the node and add a service for the Ceph plug-in. Example Syntax Replace HOSTNAME with the hostname of the Ceph host you want to monitor. Example Note The check_command setting uses check_nrpe! before the Ceph plug-in name. This tells NRPE to execute the check_ceph_health command on the remote node. Repeat this procedure for each plug-in applicable to the host. Restart the Nagios Core server: Example Before proceeding with additional configuration, ensure that the plug-ins are working on the Ceph host: Syntax Example Note The check_ceph_health plug-in performs the equivalent of the ceph health command. Additional Resources See Nagios plugins for Ceph for more information about Ceph Nagios plug-ins usage. | [
"ssh user@host01 [user@host01 ~]USD sudo su - cd /etc/ceph ceph auth get-or-create client.nagios mon 'allow r' > client.nagios.keyring",
"vi /usr/local/nagios/etc/nrpe.cfg",
"command[check_ceph_health]=/usr/lib/nagios/plugins/check_ceph_health --id nagios --keyring /etc/ceph/client.nagios.keyring",
"systemctl enable nrpe systemctl restart nrpe",
"cd /usr/local/nagios/etc/objects vi commands.cfg",
"define command{ command_name check_nrpe command_line USDUSER1USD/check_nrpe -H USDHOSTADDRESSUSD -c USDARG1USD }",
"vi /usr/local/nagios/etc/objects/host01.cfg",
"define service { use generic-service host_name HOSTNAME service_description Ceph Health Check check_command check_nrpe!check_ceph_health }",
"define service { use generic-service host_name host01 service_description Ceph Health Check check_command check_nrpe!check_ceph_health }",
"systemctl restart nagios",
"/usr/lib/nagios/plugins/check_ceph_health --id NAGIOS_USER --keyring /etc/ceph/client.nagios.keyring",
"/usr/lib/nagios/plugins/check_ceph_health --id nagios --keyring /etc/ceph/client.nagios.keyring HEALTH OK"
] | https://docs.redhat.com/en/documentation/red_hat_ceph_storage/6/html/monitoring_ceph_with_nagios_guide/configuring-the-nagios-plugins-for-ceph_nagios |
Chapter 4. Configuring RoCE | Chapter 4. Configuring RoCE Remote Direct Memory Access (RDMA) over Converged Ethernet (RoCE) is a network protocol that utilizes RDMA over an Ethernet network. For configuration, RoCE requires specific hardware and some of the hardware vendors are Mellanox, Broadcom, and QLogic. 4.1. Overview of RoCE protocol versions The following are the different RoCE versions: RoCE v1 The RoCE version 1 protocol is an Ethernet link layer protocol with Ethertype 0x8915 that enables the communication between any two hosts in the same Ethernet broadcast domain. RoCE v2 The RoCE version 2 protocol exists on the top of either the UDP over IPv4 or the UDP over IPv6 protocol. For RoCE v2, the UDP destination port number is 4791 . The RDMA_CM sets up a reliable connection between a client and a server for transferring data. RDMA_CM provides an RDMA transport-neutral interface for establishing connections. The communication uses a specific RDMA device and message-based data transfers. Important Using different versions like RoCE v2 on the client and RoCE v1 on the server is not supported. In such a case, configure both the server and client to communicate over RoCE v1. 4.2. Temporarily changing the default RoCE version Using the RoCE v2 protocol on the client and RoCE v1 on the server is not supported. If the hardware in your server supports RoCE v1 only, configure your clients for RoCE v1 to communicate with the server. For example, you can configure a client that uses the mlx5_0 driver for the Mellanox ConnectX-5 InfiniBand device that only supports RoCE v1. Note The changes described here will remain effective until you reboot the host. Prerequisites The client uses an InfiniBand device with RoCE v2 protocol. The server uses an InfiniBand device that only supports RoCE v1. Procedure Create the /sys/kernel/config/rdma_cm/ mlx5_0 / directory: Display the default RoCE mode: Change the default RoCE mode to version 1: 4.3. Configuring Soft-RoCE Soft-RoCE is a software implementation of remote direct memory access (RDMA) over Ethernet, which is also called RXE. Use Soft-RoCE on hosts without RoCE host channel adapters (HCA). Important The Soft-RoCE feature is provided as a Technology Preview only. Technology Preview features are not supported with Red Hat production Service Level Agreements (SLAs), might not be functionally complete, and Red Hat does not recommend using them for production. These previews provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process. See Technology Preview Features Support Scope on the Red Hat Customer Portal for information about the support scope for Technology Preview features. Prerequisites An Ethernet adapter is installed Procedure Install the iproute , libibverbs , libibverbs-utils , and infiniband-diags packages: Display the RDMA links: Add a new rxe device named rxe0 that uses the enp0s1 interface: Verification View the state of all RDMA links: List the available RDMA devices: You can use the ibstat utility to display a detailed status: | [
"mkdir /sys/kernel/config/rdma_cm/ mlx5_0 /",
"cat /sys/kernel/config/rdma_cm/ mlx5_0 /ports/ 1 /default_roce_mode RoCE v2",
"echo \"IB/RoCE v1\" > /sys/kernel/config/rdma_cm/ mlx5_0 /ports/ 1 /default_roce_mode",
"yum install iproute libibverbs libibverbs-utils infiniband-diags",
"rdma link show",
"rdma link add rxe0 type rxe netdev enp1s0",
"rdma link show link rxe0/1 state ACTIVE physical_state LINK_UP netdev enp1s0",
"ibv_devices device node GUID ------ ---------------- rxe0 505400fffed5e0fb",
"ibstat rxe0 CA 'rxe0' CA type: Number of ports: 1 Firmware version: Hardware version: Node GUID: 0x505400fffed5e0fb System image GUID: 0x0000000000000000 Port 1: State: Active Physical state: LinkUp Rate: 100 Base lid: 0 LMC: 0 SM lid: 0 Capability mask: 0x00890000 Port GUID: 0x505400fffed5e0fb Link layer: Ethernet"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/8/html/configuring_infiniband_and_rdma_networks/configuring-roce_configuring-infiniband-and-rdma-networks |
Chapter 9. Integrating with Google Cloud Storage | Chapter 9. Integrating with Google Cloud Storage You can integrate with Google Cloud Storage (GCS) to enable data backups. You can use these backups for data restoration in the case of an infrastructure disaster, or corrupt data. After you integrate with GCS, you can schedule daily or weekly backups and do manual on-demand backups. The backup includes the Red Hat Advanced Cluster Security for Kubernetes entire database, which includes all configurations, resources, events, and certificates. Make sure that backups are stored securely. Note If you are using Red Hat Advanced Cluster Security for Kubernetes version 3.0.53 or older, the backup does not include certificates. 9.1. Configuring Red Hat Advanced Cluster Security for Kubernetes To configure data backups on Google Cloud Storage (GCS), create an integration in Red Hat Advanced Cluster Security for Kubernetes. Prerequisites An existing bucket . To create a new bucket, see the official Google Cloud Storage documentation topic Creating storage buckets . A service account with the Storage Object Admin IAM role in the storage bucket you want to use. See Using Cloud IAM permissions for more information. Either a workload identity or a Service account key (JSON) for the service account. See Creating a service account and Creating service account keys for more information. Procedure In the RHACS portal, go to Platform Configuration Integrations . Scroll down to the External backups section and select Google Cloud Storage . Click New Integration ( add icon). Enter a name for Integration Name . Enter the number of backups to retain in the Backups To Retain box. For Schedule , select the backup frequency (daily or weekly) and the time to run the backup process. Enter the Bucket name in which you want to store the backup. When using a workload identity, check Use workload identity . Otherwise, enter the contents of your service account key file into the Service account key (JSON) field. Select Test to confirm that the integration with GCS is working. Select Create to generate the configuration. Once configured, Red Hat Advanced Cluster Security for Kubernetes automatically backs up all data according to the specified schedule. 9.1.1. Perform on-demand backups on Google Cloud Storage Uses the RHACS portal to trigger manual backups of Red Hat Advanced Cluster Security for Kubernetes on Google Cloud Storage. Prerequisites You must have already integrated Red Hat Advanced Cluster Security for Kubernetes with Google Cloud Storage. Procedure In the RHACS portal, go to Platform Configuration Integrations . Under the External backups section, click Google Cloud Storage . Select the integration name for the GCS bucket in which you want to do a backup. Click Trigger Backup . Note Currently, when you select the Trigger Backup option, there is no notification. However, Red Hat Advanced Cluster Security for Kubernetes begins the backup task in the background. 9.1.1.1. Additional resources Backing up Red Hat Advanced Cluster Security for Kubernetes Restoring from a backup | null | https://docs.redhat.com/en/documentation/red_hat_advanced_cluster_security_for_kubernetes/4.6/html/integrating/integrate-with-google-cloud-storage |
Chapter 36. System and Subscription Management | Chapter 36. System and Subscription Management The yum updateinfo commands now respect skip_if_unavailable option If a repository was configured with the skip_if_unavailable=1 option, the yum commands operating on the updateinfo metadata, such as yum updateinfo or yum check-update --security , did not work correctly. Consequently, yum terminated with an error instead of skipping the repository. With this update, the underlying source code has been fixed to respect the skip_if_unavailable option. As a result, the affected yum commands now skip the unavailable repository as expected under the described circumstances. (BZ#1528608) | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/7.6_release_notes/bug_fixes_system_and_subscription_management |
Making open source more inclusive | Making open source more inclusive Red Hat is committed to replacing problematic language in our code, documentation, and web properties. We are beginning with these four terms: master, slave, blacklist, and whitelist. Because of the enormity of this endeavor, these changes will be implemented gradually over several upcoming releases. For more details, see our CTO Chris Wright's message . | null | https://docs.redhat.com/en/documentation/red_hat_openshift_data_foundation/4.9/html/scaling_storage/making-open-source-more-inclusive |
10.5.19. ServerName | 10.5.19. ServerName ServerName specifies a hostname and port number (matching the Listen directive) for the server. The ServerName does not need to match the machine's actual hostname. For example, the Web server may be www.example.com , but the server's hostname is actually foo.example.com . The value specified in ServerName must be a valid Domain Name Service (DNS) name that can be resolved by the system - do not make something up. The following is a sample ServerName directive: When specifying a ServerName , be sure the IP address and server name pair are included in the /etc/hosts file. | [
"ServerName www.example.com:80"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/4/html/reference_guide/s2-apache-servername |
Chapter 1. Dynamically provisioned OpenShift Data Foundation deployed on AWS | Chapter 1. Dynamically provisioned OpenShift Data Foundation deployed on AWS 1.1. Replacing operational or failed storage devices on AWS user-provisioned infrastructure When you need to replace a device in a dynamically created storage cluster on an AWS user-provisioned infrastructure, you must replace the storage node. For information about how to replace nodes, see: Replacing an operational AWS node on user-provisioned infrastructure . Replacing a failed AWS node on user-provisioned infrastructure . 1.2. Replacing operational or failed storage devices on AWS installer-provisioned infrastructure When you need to replace a device in a dynamically created storage cluster on an AWS installer-provisioned infrastructure, you must replace the storage node. For information about how to replace nodes, see: Replacing an operational AWS node on installer-provisioned infrastructure . Replacing a failed AWS node on installer-provisioned infrastructure . | null | https://docs.redhat.com/en/documentation/red_hat_openshift_data_foundation/4.16/html/replacing_devices/dynamically_provisioned_openshift_data_foundation_deployed_on_aws |
Chapter 25. FTP Source | Chapter 25. FTP Source Receive data from an FTP Server. 25.1. Configuration Options The following table summarizes the configuration options available for the ftp-source Kamelet: Property Name Description Type Default Example connectionHost * Connection Host Hostname of the FTP server string connectionPort * Connection Port Port of the FTP server string 21 directoryName * Directory Name The starting directory string password * Password The password to access the FTP server string username * Username The username to access the FTP server string idempotent Idempotency Skip already processed files. boolean true passiveMode Passive Mode Sets passive mode connection boolean false recursive Recursive If a directory, will look for files in all the sub-directories as well. boolean false Note Fields marked with an asterisk (*) are mandatory. 25.2. Dependencies At runtime, the ftp-source Kamelet relies upon the presence of the following dependencies: camel:ftp camel:core camel:kamelet 25.3. Usage This section describes how you can use the ftp-source . 25.3.1. Knative Source You can use the ftp-source Kamelet as a Knative source by binding it to a Knative object. ftp-source-binding.yaml apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: ftp-source-binding spec: source: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: ftp-source properties: connectionHost: "The Connection Host" directoryName: "The Directory Name" password: "The Password" username: "The Username" sink: ref: kind: Channel apiVersion: messaging.knative.dev/v1 name: mychannel 25.3.1.1. Prerequisite Make sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you're connected to. 25.3.1.2. Procedure for using the cluster CLI Save the ftp-source-binding.yaml file to your local drive, and then edit it as needed for your configuration. Run the source by using the following command: oc apply -f ftp-source-binding.yaml 25.3.1.3. Procedure for using the Kamel CLI Configure and run the source by using the following command: kamel bind ftp-source -p "source.connectionHost=The Connection Host" -p "source.directoryName=The Directory Name" -p "source.password=The Password" -p "source.username=The Username" channel:mychannel This command creates the KameletBinding in the current namespace on the cluster. 25.3.2. Kafka Source You can use the ftp-source Kamelet as a Kafka source by binding it to a Kafka topic. ftp-source-binding.yaml apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: ftp-source-binding spec: source: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: ftp-source properties: connectionHost: "The Connection Host" directoryName: "The Directory Name" password: "The Password" username: "The Username" sink: ref: kind: KafkaTopic apiVersion: kafka.strimzi.io/v1beta1 name: my-topic 25.3.2.1. Prerequisites Ensure that you've installed the AMQ Streams operator in your OpenShift cluster and created a topic named my-topic in the current namespace. Make also sure you have "Red Hat Integration - Camel K" installed into the OpenShift cluster you're connected to. 25.3.2.2. Procedure for using the cluster CLI Save the ftp-source-binding.yaml file to your local drive, and then edit it as needed for your configuration. Run the source by using the following command: oc apply -f ftp-source-binding.yaml 25.3.2.3. Procedure for using the Kamel CLI Configure and run the source by using the following command: kamel bind ftp-source -p "source.connectionHost=The Connection Host" -p "source.directoryName=The Directory Name" -p "source.password=The Password" -p "source.username=The Username" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic This command creates the KameletBinding in the current namespace on the cluster. 25.4. Kamelet source file https://github.com/openshift-integration/kamelet-catalog/ftp-source.kamelet.yaml | [
"apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: ftp-source-binding spec: source: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: ftp-source properties: connectionHost: \"The Connection Host\" directoryName: \"The Directory Name\" password: \"The Password\" username: \"The Username\" sink: ref: kind: Channel apiVersion: messaging.knative.dev/v1 name: mychannel",
"apply -f ftp-source-binding.yaml",
"kamel bind ftp-source -p \"source.connectionHost=The Connection Host\" -p \"source.directoryName=The Directory Name\" -p \"source.password=The Password\" -p \"source.username=The Username\" channel:mychannel",
"apiVersion: camel.apache.org/v1alpha1 kind: KameletBinding metadata: name: ftp-source-binding spec: source: ref: kind: Kamelet apiVersion: camel.apache.org/v1alpha1 name: ftp-source properties: connectionHost: \"The Connection Host\" directoryName: \"The Directory Name\" password: \"The Password\" username: \"The Username\" sink: ref: kind: KafkaTopic apiVersion: kafka.strimzi.io/v1beta1 name: my-topic",
"apply -f ftp-source-binding.yaml",
"kamel bind ftp-source -p \"source.connectionHost=The Connection Host\" -p \"source.directoryName=The Directory Name\" -p \"source.password=The Password\" -p \"source.username=The Username\" kafka.strimzi.io/v1beta1:KafkaTopic:my-topic"
] | https://docs.redhat.com/en/documentation/red_hat_build_of_apache_camel_k/1.10.5/html/kamelets_reference/ftp-source |
Chapter 2. Installation | Chapter 2. Installation This chapter describes in detail how to get access to the content set, install Red Hat Software Collections 3.2 on the system, and rebuild Red Hat Software Collections. 2.1. Getting Access to Red Hat Software Collections The Red Hat Software Collections content set is available to customers with Red Hat Enterprise Linux 6 and Red Hat Enterprise Linux 7 subscriptions listed at https://access.redhat.com/solutions/472793 . For information on how to register your system with Red Hat Subscription Management (RHSM), see Using and Configuring Red Hat Subscription Manager . For detailed instructions on how to enable Red Hat Software Collections using RHSM, see Section 2.1.1, "Using Red Hat Subscription Management" . Since Red Hat Software Collections 2.2, the Red Hat Software Collections and Red Hat Developer Toolset content is available also in the ISO format at https://access.redhat.com/downloads , specifically for Server and Workstation . Note that packages that require the Optional channel, which are listed in Section 2.1.2, "Packages from the Optional Channel" , cannot be installed from the ISO image. Note Packages that require the Optional channel cannot be installed from the ISO image. A list of packages that require enabling of the Optional channel is provided in Section 2.1.2, "Packages from the Optional Channel" . Beta content is unavailable in the ISO format. 2.1.1. Using Red Hat Subscription Management If your system is registered with Red Hat Subscription Management, complete the following steps to attach the subscription that provides access to the repository for Red Hat Software Collections and enable the repository: Display a list of all subscriptions that are available for your system and determine the pool ID of a subscription that provides Red Hat Software Collections. To do so, type the following at a shell prompt as root : subscription-manager list --available For each available subscription, this command displays its name, unique identifier, expiration date, and other details related to it. The pool ID is listed on a line beginning with Pool Id . Attach the appropriate subscription to your system by running the following command as root : subscription-manager attach --pool= pool_id Replace pool_id with the pool ID you determined in the step. To verify the list of subscriptions your system has currently attached, type as root : subscription-manager list --consumed Display the list of available Yum list repositories to retrieve repository metadata and determine the exact name of the Red Hat Software Collections repositories. As root , type: subscription-manager repos --list Or alternatively, run yum repolist all for a brief list. The repository names depend on the specific version of Red Hat Enterprise Linux you are using and are in the following format: Replace variant with the Red Hat Enterprise Linux system variant, that is, server or workstation . Note that Red Hat Software Collections is supported neither on the Client nor on the ComputeNode variant. Enable the appropriate repository by running the following command as root : subscription-manager repos --enable repository Once the subscription is attached to the system, you can install Red Hat Software Collections as described in Section 2.2, "Installing Red Hat Software Collections" . For more information on how to register your system using Red Hat Subscription Management and associate it with subscriptions, see Using and Configuring Red Hat Subscription Manager . Note Subscription through RHN is no longer available. 2.1.2. Packages from the Optional Channel Some of the Red Hat Software Collections 3.2 packages require the Optional channel to be enabled in order to complete the full installation of these packages. For detailed instructions on how to subscribe your system to this channel, see the relevant Knowledgebase articles at https://access.redhat.com/solutions/392003 . Packages from Software Collections for Red Hat Enterprise Linux 6 that require the Optional channel to be enabled are listed in the following table. Table 2.1. Packages That Require Enabling of the Optional Channel in Red Hat Enterprise Linux 6 Package from a Software Collection Required Package from the Optional Channel devtoolset-6-dyninst-testsuite glibc-static devtoolset-7-dyninst-testsuite glibc-static devtoolset-8-dyninst-testsuite glibc-static rh-git29-git-all cvsps, perl-Net-SMTP-SSL rh-git29-git-cvs cvsps rh-git29-git-email perl-Net-SMTP-SSL rh-git29-perl-Git-SVN perl-YAML, subversion-perl rh-mariadb101-boost-devel libicu-devel rh-mariadb101-boost-examples libicu-devel rh-mariadb101-boost-static libicu-devel rh-mongodb32-boost-devel libicu-devel rh-mongodb32-boost-examples libicu-devel rh-mongodb32-boost-static libicu-devel rh-mongodb32-yaml-cpp-devel libicu-devel rh-mongodb34-boost-devel libicu-devel rh-mongodb34-boost-examples libicu-devel rh-mongodb34-boost-static libicu-devel rh-mongodb34-yaml-cpp-devel libicu-devel rh-php70-php-imap libc-client rh-php70-php-recode recode Software Collections packages that require the Optional channel in Red Hat Enterprise Linux 7 are listed in the table below. Table 2.2. Packages That Require Enabling of the Optional Channel in Red Hat Enterprise Linux 7 Package from a Software Collection Required Package from the Optional Channel devtoolset-7-dyninst-testsuite glibc-static devtoolset-7-gcc-plugin-devel libmpc-devel devtoolset-8-dyninst-testsuite glibc-static devtoolset-8-gcc-plugin-devel libmpc-devel httpd24-mod_ldap apr-util-ldap rh-eclipse46 ruby-doc rh-eclipse46-eclipse-dltk-ruby ruby-doc rh-eclipse46-eclipse-dltk-sdk ruby-doc rh-eclipse46-eclipse-dltk-tests ruby-doc rh-eclipse46-icu4j-javadoc java-1.8.0-openjdk-javadoc rh-eclipse46-stringtemplate-javadoc java-1.8.0-openjdk-javadoc rh-git218-git-all cvsps, subversion-perl rh-git218-git-cvs cvsps rh-git218-git-svn subversion-perl rh-git218-perl-Git-SVN subversion-perl rh-git29-git-all cvsps rh-git29-git-cvs cvsps rh-git29-perl-Git-SVN subversion-perl Note that packages from the Optional channel are not supported. For details, see the Knowledgebase article at https://access.redhat.com/articles/1150793 . 2.2. Installing Red Hat Software Collections Red Hat Software Collections is distributed as a collection of RPM packages that can be installed, updated, and uninstalled by using the standard package management tools included in Red Hat Enterprise Linux. Note that a valid subscription is required to install Red Hat Software Collections on your system. For detailed instructions on how to associate your system with an appropriate subscription and get access to Red Hat Software Collections, see Section 2.1, "Getting Access to Red Hat Software Collections" . Use of Red Hat Software Collections 3.2 requires the removal of any earlier pre-release versions, including Beta releases. If you have installed any version of Red Hat Software Collections 3.2, uninstall it from your system and install the new version as described in the Section 2.3, "Uninstalling Red Hat Software Collections" and Section 2.2.1, "Installing Individual Software Collections" sections. The in-place upgrade from Red Hat Enterprise Linux 6 to Red Hat Enterprise Linux 7 is not supported by Red Hat Software Collections. As a consequence, the installed Software Collections might not work correctly after the upgrade. If you want to upgrade from Red Hat Enterprise Linux 6 to Red Hat Enterprise Linux 7, it is strongly recommended to remove all Red Hat Software Collections packages, perform the in-place upgrade, update the Red Hat Software Collections repository, and install the Software Collections packages again. It is advisable to back up all data before upgrading. 2.2.1. Installing Individual Software Collections To install any of the Software Collections that are listed in Table 1.1, "Red Hat Software Collections 3.2 Components" , install the corresponding meta package by typing the following at a shell prompt as root : yum install software_collection ... Replace software_collection with a space-separated list of Software Collections you want to install. For example, to install php54 and rh-mariadb100 , type as root : This installs the main meta package for the selected Software Collection and a set of required packages as its dependencies. For information on how to install additional packages such as additional modules, see Section 2.2.2, "Installing Optional Packages" . 2.2.2. Installing Optional Packages Each component of Red Hat Software Collections is distributed with a number of optional packages that are not installed by default. To list all packages that are part of a certain Software Collection but are not installed on your system, type the following at a shell prompt: yum list available software_collection -\* To install any of these optional packages, type as root : yum install package_name ... Replace package_name with a space-separated list of packages that you want to install. For example, to install the rh-perl526-perl-CPAN and rh-perl526-perl-Archive-Tar , type: 2.2.3. Installing Debugging Information To install debugging information for any of the Red Hat Software Collections packages, make sure that the yum-utils package is installed and type the following command as root : debuginfo-install package_name For example, to install debugging information for the rh-ruby25-ruby package, type: Note that you need to have access to the repository with these packages. If your system is registered with Red Hat Subscription Management, enable the rhel- variant -rhscl-6-debug-rpms or rhel- variant -rhscl-7-debug-rpms repository as described in Section 2.1.1, "Using Red Hat Subscription Management" . For more information on how to get access to debuginfo packages, see https://access.redhat.com/solutions/9907 . 2.3. Uninstalling Red Hat Software Collections To uninstall any of the Software Collections components, type the following at a shell prompt as root : yum remove software_collection \* Replace software_collection with the Software Collection component you want to uninstall. Note that uninstallation of the packages provided by Red Hat Software Collections does not affect the Red Hat Enterprise Linux system versions of these tools. 2.4. Rebuilding Red Hat Software Collections <collection>-build packages are not provided by default. If you wish to rebuild a collection and do not want or cannot use the rpmbuild --define 'scl foo' command, you first need to rebuild the metapackage, which provides the <collection>-build package. Note that existing collections should not be rebuilt with different content. To add new packages into an existing collection, you need to create a new collection containing the new packages and make it dependent on packages from the original collection. The original collection has to be used without changes. For detailed information on building Software Collections, refer to the Red Hat Software Collections Packaging Guide . | [
"rhel- variant -rhscl-6-rpms rhel- variant -rhscl-6-debug-rpms rhel- variant -rhscl-6-source-rpms rhel-server-rhscl-6-eus-rpms rhel-server-rhscl-6-eus-source-rpms rhel-server-rhscl-6-eus-debug-rpms rhel- variant -rhscl-7-rpms rhel- variant -rhscl-7-debug-rpms rhel- variant -rhscl-7-source-rpms rhel-server-rhscl-7-eus-rpms rhel-server-rhscl-7-eus-source-rpms rhel-server-rhscl-7-eus-debug-rpms>",
"~]# yum install rh-php72 rh-mariadb102",
"~]# yum install rh-perl526-perl-CPAN rh-perl526-perl-Archive-Tar",
"~]# debuginfo-install rh-ruby25-ruby"
] | https://docs.redhat.com/en/documentation/red_hat_software_collections/3/html/3.2_release_notes/chap-installation |
probe::stap.system | probe::stap.system Name probe::stap.system - Starting a command from stap Synopsis stap.system Values command the command string to be run by posix_spawn (as sh -c <str>) Description Fires at the entry of the stap_system command. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/systemtap_tapset_reference/api-stap-system |
Configuring dynamic plugins | Configuring dynamic plugins Red Hat Developer Hub 1.4 Red Hat Customer Content Services | null | https://docs.redhat.com/en/documentation/red_hat_developer_hub/1.4/html/configuring_dynamic_plugins/index |
5.4. Virtualization | 5.4. Virtualization qemu-kvm component, BZ# 1159613 If a virtio device is created where the number of vectors is set to a value higher than 32, the device behaves as if it was set to a zero value on Red Hat Enterprise Linux 6, but not on Enterprise Linux 7. The resulting vector setting mismatch causes a migration error if the number of vectors on any virtio device on either platform is set to 33 or higher. It is, therefore, not recommended to set the vector value to be greater than 32. kernel component In Red Hat Enterprise Linux 6.4, if Large Receive Offload (LRO) is enabled with the macvtap driver, a kernel panic can occur on the host machine. This problem was observed on machines using Broadcom, QLogic and Intel cards. To work around the problem, disable LRO by running ethtool -K large-receive-offload off . kernel component There is a known issue with the Microsoft Hyper-V host. If a legacy network interface controller (NIC) is used on a multiple-CPU virtual machine, there is an interrupt problem in the emulated hardware when the IRQ balancing daemon is running. Call trace information is logged in the /var/log/messages file. libvirt component, BZ# 888635 Under certain circumstances, virtual machines try to boot from an incorrect device after a network boot failure. For more information, please refer to this article on Customer Portal. qemu-kvm component, BZ# 894277 "Fast startup" used in Microsoft Windows 8 is not fully compatible with qemu-kvm in Red Hat Enterprise Linux 6. Windows 8 can therefore fail to boot the second time after its shutdown. To ensure successful boot of Windows 8 inside qemu-kvm , disable Windows 8 "fast startup" in System Settings . numad component, BZ# 872524 If numad is run on a system with a task that has very large resident memory (>= 50% total system memory), then the numad-initiated NUMA page migrations for that task can cause swapping. The swapping can then induce long latencies for the system. An example is running a 256GB Microsoft Windows KVM Virtual Machine on a 512GB host. The Windows guest will fault in all pages on boot in order to zero them. On a four node system, numad will detect that a 256GB task can fit in a subset of two or three nodes, and then attempt to migrate it to that subset. Swapping can then occur and lead to latencies. These latencies may then cause the Windows guest to hang, as timing requirements are no longer met. Therefore, on a system with only one or two very large Windows machines, it is recommended to disable numad . Note that this problem is specific to Windows 2012 guests that use more memory than exists in a single node. Windows 2012 guests appear to allocate memory more gradually than other Windows guest types, which triggers the issue. Other varieties of Windows guests do not seem to experience this problem. You can work around this problem by: limiting Windows 2012 guests to less memory than exists in a given node -- so on a typical 4 node system with even memory distribution, the guest would need to be less than the total amount of system memory divided by 4; or allowing the Windows 2012 guests to finish allocating all of its memory before allowing numad to run. numad will handle extremely huge Windows 2012 guests correctly after allowing a few minutes for the guest to finish allocating all of its memory. grubby component, BZ# 893390 When a Red Hat Enterprise Linux 6.4 guest updates the kernel and then the guest is turned of through Microsoft Hyper-V Manager, the guest fails to boot due to incomplete grub information. This is because the data is not synced properly to disk when the machine is turned off through Hyper-V Manager. To work around this problem, execute the sync command before turning the guest off. kernel component Using the mouse scroll wheel does not work on Red Hat Enterprise Linux 6.4 guests that run under Microsoft Hyper-V Manager installed on a physical machine. However, the scroll wheel works as expected when the vncviewer utility is used. kernel component, BZ# 874406 Microsoft Windows Server 2012 guests using the e1000 driver can become unresponsive consuming 100% CPU during reboot. kernel component When a kernel panic is triggered on a Microsoft Hyper-V guest, the kdump utility does not capture the kernel error information; an error is only displayed on the command line. kernel component Due to a bug in Microsoft Hyper-V Server 2008 R2, attempting to remove and then reload the hv_utils module on a Hyper-V guest running Red Hat Enterprise Linux 6.4 will cause a shutdown and the heartbeat service to not work. To work around this issue, upgrade the host system to Microsoft Hyper-V Server 2012. quemu-kvm component, BZ# 871265 AMD Opteron G1, G2 or G3 CPU models on qemu-kvm use the family and models values as follows: family=15 and model=6. If these values are larger than 20, the lahfm_lm CPU feature is ignored by Linux guests, even when the feature is enabled. To work around this problem, use a different CPU model, for example AMD Opteron G4. qemu-kvm component, BZ# 860929 KVM guests must not be allowed to update the host CPU microcode. KVM does not allows this and instead always returns the same microcode revision or patch level value to the guest. If the guest tries to update the CPU microcode, it will fail and show an error message similar to: To work around this, configure the guest to not install CPU microcode updates; for example, uninstall the microcode_ctl package Red Hat Enterprise Linux of Fedora guests. virt-p2v component, BZ# 816930 Converting a physical server running either Red Hat Enterprise Linux 4 or Red Hat Enterprise Linux 5 which has its file system root on an MD device is not supported. Converting such a guest results in a guest which fails to boot. Note that conversion of a Red Hat Enterprise Linux 6 server which has its root on an MD device is supported. virt-p2v component, BZ# 808820 When converting a physical host with a multipath storage, Virt-P2V presents all available paths for conversion. Only a single path must be selected. This must be a currently active path. virtio-win component, BZ# 615928 The balloon service on Windows 7 guests can only be started by the Administrator user. libvirt component, BZ# 622649 libvirt uses transient iptables rules for managing NAT or bridging to virtual machine guests. Any external command that reloads the iptables state (such as running system-config-firewall ) will overwrite the entries needed by libvirt . Consequently, after running any command or tool that changes the state of iptables , guests may lose access to the network. To work around this issue, use the service libvirt reload command to restore libvirt 's additional iptables rules. virtio-win component, BZ# 612801 A Windows virtual machine must be restarted after the installation of the kernel Windows driver framework. If the virtual machine is not restarted, it may crash when a memory balloon operation is performed. qemu-kvm component, BZ# 720597 Installation of Windows 7 Ultimate x86 (32-bit) Service Pack 1 on a guest with more than 4GB of RAM and more than one CPU from a DVD medium often crashes during the final steps of the installation process due to a system hang. To work around this issue, use the Windows Update utility to install the Service Pack. qemu-kvm component, BZ# 612788 A dual function Intel 82576 Gigabit Ethernet Controller interface (codename: Kawela, PCI Vendor/Device ID: 8086:10c9) cannot have both physical functions (PF's) device-assigned to a Windows 2008 guest. Either physical function can be device assigned to a Windows 2008 guest (PCI function 0 or function 1), but not both. virt-v2v component, BZ# 618091 The virt-v2v utility is able to convert guests running on an ESX server. However, if an ESX guest has a disk with a snapshot, the snapshot must be on the same datastore as the underlying disk storage. If the snapshot and the underlying storage are on different datastores, virt-v2v will report a 404 error while trying to retrieve the storage. virt-v2v component, BZ# 678232 The VMware Tools application on Microsoft Windows is unable to disable itself when it detects that it is no longer running on a VMware platform. Consequently, converting a Microsoft Windows guest from VMware ESX, which has VMware Tools installed, will result in errors. These errors usually manifest as error messages on start-up, and a "Stop Error" (also known as a BSOD) when shutting down the guest. To work around this issue, uninstall VMware Tools on Microsoft Windows guests prior to conversion. | [
"CPU0: update failed (for patch_level=0x6000624)"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/6.4_technical_notes/virtualization_issues |
Chapter 2. Configuring an AWS account | Chapter 2. Configuring an AWS account Before you can install OpenShift Container Platform, you must configure an Amazon Web Services (AWS) account. 2.1. Configuring Route 53 To install OpenShift Container Platform, the Amazon Web Services (AWS) account you use must have a dedicated public hosted zone in your Route 53 service. This zone must be authoritative for the domain. The Route 53 service provides cluster DNS resolution and name lookup for external connections to the cluster. Procedure Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through AWS or another source. Note If you purchase a new domain through AWS, it takes time for the relevant DNS changes to propagate. For more information about purchasing domains through AWS, see Registering Domain Names Using Amazon Route 53 in the AWS documentation. If you are using an existing domain and registrar, migrate its DNS to AWS. See Making Amazon Route 53 the DNS Service for an Existing Domain in the AWS documentation. Create a public hosted zone for your domain or subdomain. See Creating a Public Hosted Zone in the AWS documentation. Use an appropriate root domain, such as openshiftcorp.com , or subdomain, such as clusters.openshiftcorp.com . Extract the new authoritative name servers from the hosted zone records. See Getting the Name Servers for a Public Hosted Zone in the AWS documentation. Update the registrar records for the AWS Route 53 name servers that your domain uses. For example, if you registered your domain to a Route 53 service in a different accounts, see the following topic in the AWS documentation: Adding or Changing Name Servers or Glue Records . If you are using a subdomain, add its delegation records to the parent domain. This gives Amazon Route 53 responsibility for the subdomain. Follow the delegation procedure outlined by the DNS provider of the parent domain. See Creating a subdomain that uses Amazon Route 53 as the DNS service without migrating the parent domain in the AWS documentation for an example high level procedure. 2.1.1. Ingress Operator endpoint configuration for AWS Route 53 If you install in either Amazon Web Services (AWS) GovCloud (US) US-West or US-East region, the Ingress Operator uses us-gov-west-1 region for Route53 and tagging API clients. The Ingress Operator uses https://tagging.us-gov-west-1.amazonaws.com as the tagging API endpoint if a tagging custom endpoint is configured that includes the string 'us-gov-east-1'. For more information on AWS GovCloud (US) endpoints, see the Service Endpoints in the AWS documentation about GovCloud (US). Important Private, disconnected installations are not supported for AWS GovCloud when you install in the us-gov-east-1 region. Example Route 53 configuration platform: aws: region: us-gov-west-1 serviceEndpoints: - name: ec2 url: https://ec2.us-gov-west-1.amazonaws.com - name: elasticloadbalancing url: https://elasticloadbalancing.us-gov-west-1.amazonaws.com - name: route53 url: https://route53.us-gov.amazonaws.com 1 - name: tagging url: https://tagging.us-gov-west-1.amazonaws.com 2 1 Route 53 defaults to https://route53.us-gov.amazonaws.com for both AWS GovCloud (US) regions. 2 Only the US-West region has endpoints for tagging. Omit this parameter if your cluster is in another region. 2.2. AWS account limits The OpenShift Container Platform cluster uses a number of Amazon Web Services (AWS) components, and the default Service Limits affect your ability to install OpenShift Container Platform clusters. If you use certain cluster configurations, deploy your cluster in certain AWS regions, or run multiple clusters from your account, you might need to request additional resources for your AWS account. The following table summarizes the AWS components whose limits can impact your ability to install and run OpenShift Container Platform clusters. Component Number of clusters available by default Default AWS limit Description Instance Limits Varies Varies By default, each cluster creates the following instances: One bootstrap machine, which is removed after installation Three control plane nodes Three worker nodes These instance type counts are within a new account's default limit. To deploy more worker nodes, enable autoscaling, deploy large workloads, or use a different instance type, review your account limits to ensure that your cluster can deploy the machines that you need. In most regions, the worker machines use an m6i.large instance and the bootstrap and control plane machines use m6i.xlarge instances. In some regions, including all regions that do not support these instance types, m5.large and m5.xlarge instances are used instead. Elastic IPs (EIPs) 0 to 1 5 EIPs per account To provision the cluster in a highly available configuration, the installation program creates a public and private subnet for each availability zone within a region . Each private subnet requires a NAT Gateway , and each NAT gateway requires a separate elastic IP . Review the AWS region map to determine how many availability zones are in each region. To take advantage of the default high availability, install the cluster in a region with at least three availability zones. To install a cluster in a region with more than five availability zones, you must increase the EIP limit. Important To use the us-east-1 region, you must increase the EIP limit for your account. Virtual Private Clouds (VPCs) 5 5 VPCs per region Each cluster creates its own VPC. Elastic Load Balancing (ELB/NLB) 3 20 per region By default, each cluster creates internal and external network load balancers for the master API server and a single Classic Load Balancer for the router. Deploying more Kubernetes Service objects with type LoadBalancer will create additional load balancers . NAT Gateways 5 5 per availability zone The cluster deploys one NAT gateway in each availability zone. Elastic Network Interfaces (ENIs) At least 12 350 per region The default installation creates 21 ENIs and an ENI for each availability zone in your region. For example, the us-east-1 region contains six availability zones, so a cluster that is deployed in that zone uses 27 ENIs. Review the AWS region map to determine how many availability zones are in each region. Additional ENIs are created for additional machines and ELB load balancers that are created by cluster usage and deployed workloads. VPC Gateway 20 20 per account Each cluster creates a single VPC Gateway for S3 access. S3 buckets 99 100 buckets per account Because the installation process creates a temporary bucket and the registry component in each cluster creates a bucket, you can create only 99 OpenShift Container Platform clusters per AWS account. Security Groups 250 2,500 per account Each cluster creates 10 distinct security groups. 2.3. Required AWS permissions for the IAM user Note Your IAM user must have the permission tag:GetResources in the region us-east-1 to delete the base cluster resources. As part of the AWS API requirement, the OpenShift Container Platform installation program performs various actions in this region. When you attach the AdministratorAccess policy to the IAM user that you create in Amazon Web Services (AWS), you grant that user all of the required permissions. To deploy all components of an OpenShift Container Platform cluster, the IAM user requires the following permissions: Example 2.1. Required EC2 permissions for installation ec2:AuthorizeSecurityGroupEgress ec2:AuthorizeSecurityGroupIngress ec2:CopyImage ec2:CreateNetworkInterface ec2:AttachNetworkInterface ec2:CreateSecurityGroup ec2:CreateTags ec2:CreateVolume ec2:DeleteSecurityGroup ec2:DeleteSnapshot ec2:DeleteTags ec2:DeregisterImage ec2:DescribeAccountAttributes ec2:DescribeAddresses ec2:DescribeAvailabilityZones ec2:DescribeDhcpOptions ec2:DescribeImages ec2:DescribeInstanceAttribute ec2:DescribeInstanceCreditSpecifications ec2:DescribeInstances ec2:DescribeInstanceTypes ec2:DescribeInternetGateways ec2:DescribeKeyPairs ec2:DescribeNatGateways ec2:DescribeNetworkAcls ec2:DescribeNetworkInterfaces ec2:DescribePrefixLists ec2:DescribeRegions ec2:DescribeRouteTables ec2:DescribeSecurityGroups ec2:DescribeSubnets ec2:DescribeTags ec2:DescribeVolumes ec2:DescribeVpcAttribute ec2:DescribeVpcClassicLink ec2:DescribeVpcClassicLinkDnsSupport ec2:DescribeVpcEndpoints ec2:DescribeVpcs ec2:GetEbsDefaultKmsKeyId ec2:ModifyInstanceAttribute ec2:ModifyNetworkInterfaceAttribute ec2:RevokeSecurityGroupEgress ec2:RevokeSecurityGroupIngress ec2:RunInstances ec2:TerminateInstances Example 2.2. Required permissions for creating network resources during installation ec2:AllocateAddress ec2:AssociateAddress ec2:AssociateDhcpOptions ec2:AssociateRouteTable ec2:AttachInternetGateway ec2:CreateDhcpOptions ec2:CreateInternetGateway ec2:CreateNatGateway ec2:CreateRoute ec2:CreateRouteTable ec2:CreateSubnet ec2:CreateVpc ec2:CreateVpcEndpoint ec2:ModifySubnetAttribute ec2:ModifyVpcAttribute Note If you use an existing VPC, your account does not require these permissions for creating network resources. Example 2.3. Required Elastic Load Balancing permissions (ELB) for installation elasticloadbalancing:AddTags elasticloadbalancing:ApplySecurityGroupsToLoadBalancer elasticloadbalancing:AttachLoadBalancerToSubnets elasticloadbalancing:ConfigureHealthCheck elasticloadbalancing:CreateLoadBalancer elasticloadbalancing:CreateLoadBalancerListeners elasticloadbalancing:DeleteLoadBalancer elasticloadbalancing:DeregisterInstancesFromLoadBalancer elasticloadbalancing:DescribeInstanceHealth elasticloadbalancing:DescribeLoadBalancerAttributes elasticloadbalancing:DescribeLoadBalancers elasticloadbalancing:DescribeTags elasticloadbalancing:ModifyLoadBalancerAttributes elasticloadbalancing:RegisterInstancesWithLoadBalancer elasticloadbalancing:SetLoadBalancerPoliciesOfListener Example 2.4. Required Elastic Load Balancing permissions (ELBv2) for installation elasticloadbalancing:AddTags elasticloadbalancing:CreateListener elasticloadbalancing:CreateLoadBalancer elasticloadbalancing:CreateTargetGroup elasticloadbalancing:DeleteLoadBalancer elasticloadbalancing:DeregisterTargets elasticloadbalancing:DescribeListeners elasticloadbalancing:DescribeLoadBalancerAttributes elasticloadbalancing:DescribeLoadBalancers elasticloadbalancing:DescribeTargetGroupAttributes elasticloadbalancing:DescribeTargetHealth elasticloadbalancing:ModifyLoadBalancerAttributes elasticloadbalancing:ModifyTargetGroup elasticloadbalancing:ModifyTargetGroupAttributes elasticloadbalancing:RegisterTargets Example 2.5. Required IAM permissions for installation iam:AddRoleToInstanceProfile iam:CreateInstanceProfile iam:CreateRole iam:DeleteInstanceProfile iam:DeleteRole iam:DeleteRolePolicy iam:GetInstanceProfile iam:GetRole iam:GetRolePolicy iam:GetUser iam:ListInstanceProfilesForRole iam:ListRoles iam:ListUsers iam:PassRole iam:PutRolePolicy iam:RemoveRoleFromInstanceProfile iam:SimulatePrincipalPolicy iam:TagRole Note If you have not created a load balancer in your AWS account, the IAM user also requires the iam:CreateServiceLinkedRole permission. Example 2.6. Required Route 53 permissions for installation route53:ChangeResourceRecordSets route53:ChangeTagsForResource route53:CreateHostedZone route53:DeleteHostedZone route53:GetChange route53:GetHostedZone route53:ListHostedZones route53:ListHostedZonesByName route53:ListResourceRecordSets route53:ListTagsForResource route53:UpdateHostedZoneComment Example 2.7. Required S3 permissions for installation s3:CreateBucket s3:DeleteBucket s3:GetAccelerateConfiguration s3:GetBucketAcl s3:GetBucketCors s3:GetBucketLocation s3:GetBucketLogging s3:GetBucketPolicy s3:GetBucketObjectLockConfiguration s3:GetBucketReplication s3:GetBucketRequestPayment s3:GetBucketTagging s3:GetBucketVersioning s3:GetBucketWebsite s3:GetEncryptionConfiguration s3:GetLifecycleConfiguration s3:GetReplicationConfiguration s3:ListBucket s3:PutBucketAcl s3:PutBucketTagging s3:PutEncryptionConfiguration Example 2.8. S3 permissions that cluster Operators require s3:DeleteObject s3:GetObject s3:GetObjectAcl s3:GetObjectTagging s3:GetObjectVersion s3:PutObject s3:PutObjectAcl s3:PutObjectTagging Example 2.9. Required permissions to delete base cluster resources autoscaling:DescribeAutoScalingGroups ec2:DeletePlacementGroup ec2:DeleteNetworkInterface ec2:DeleteVolume elasticloadbalancing:DeleteTargetGroup elasticloadbalancing:DescribeTargetGroups iam:DeleteAccessKey iam:DeleteUser iam:ListAttachedRolePolicies iam:ListInstanceProfiles iam:ListRolePolicies iam:ListUserPolicies s3:DeleteObject s3:ListBucketVersions tag:GetResources Example 2.10. Required permissions to delete network resources ec2:DeleteDhcpOptions ec2:DeleteInternetGateway ec2:DeleteNatGateway ec2:DeleteRoute ec2:DeleteRouteTable ec2:DeleteSubnet ec2:DeleteVpc ec2:DeleteVpcEndpoints ec2:DetachInternetGateway ec2:DisassociateRouteTable ec2:ReleaseAddress ec2:ReplaceRouteTableAssociation Note If you use an existing VPC, your account does not require these permissions to delete network resources. Instead, your account only requires the tag:UntagResources permission to delete network resources. Example 2.11. Required permissions to delete a cluster with shared instance roles iam:UntagRole Example 2.12. Additional IAM and S3 permissions that are required to create manifests iam:DeleteAccessKey iam:DeleteUser iam:DeleteUserPolicy iam:GetUserPolicy iam:ListAccessKeys iam:PutUserPolicy iam:TagUser s3:PutBucketPublicAccessBlock s3:GetBucketPublicAccessBlock s3:PutLifecycleConfiguration s3:ListBucket s3:ListBucketMultipartUploads s3:AbortMultipartUpload Note If you are managing your cloud provider credentials with mint mode, the IAM user also requires the iam:CreateAccessKey and iam:CreateUser permissions. Example 2.13. Optional permissions for instance and quota checks for installation ec2:DescribeInstanceTypeOfferings servicequotas:ListAWSDefaultServiceQuotas 2.4. Creating an IAM user Each Amazon Web Services (AWS) account contains a root user account that is based on the email address you used to create the account. This is a highly-privileged account, and it is recommended to use it for only initial account and billing configuration, creating an initial set of users, and securing the account. Before you install OpenShift Container Platform, create a secondary IAM administrative user. As you complete the Creating an IAM User in Your AWS Account procedure in the AWS documentation, set the following options: Procedure Specify the IAM user name and select Programmatic access . Attach the AdministratorAccess policy to ensure that the account has sufficient permission to create the cluster. This policy provides the cluster with the ability to grant credentials to each OpenShift Container Platform component. The cluster grants the components only the credentials that they require. Note While it is possible to create a policy that grants the all of the required AWS permissions and attach it to the user, this is not the preferred option. The cluster will not have the ability to grant additional credentials to individual components, so the same credentials are used by all components. Optional: Add metadata to the user by attaching tags. Confirm that the user name that you specified is granted the AdministratorAccess policy. Record the access key ID and secret access key values. You must use these values when you configure your local machine to run the installation program. Important You cannot use a temporary session token that you generated while using a multi-factor authentication device to authenticate to AWS when you deploy a cluster. The cluster continues to use your current AWS credentials to create AWS resources for the entire life of the cluster, so you must use key-based, long-lived credentials. Additional resources See Manually creating IAM for AWS for steps to set the Cloud Credential Operator (CCO) to manual mode prior to installation. Use this mode in environments where the cloud identity and access management (IAM) APIs are not reachable, or if you prefer not to store an administrator-level credential secret in the cluster kube-system project. 2.5. IAM Policies and AWS authentication By default, the installation program creates instance profiles for the bootstrap, control plane, and compute instances with the necessary permissions for the cluster to operate. However, you can create your own IAM roles and specify them as part of the installation process. You might need to specify your own roles to deploy the cluster or to manage the cluster after installation. For example: Your organization's security policies require that you use a more restrictive set of permissions to install the cluster. After the installation, the cluster is configured with an Operator that requires access to additional services. If you choose to specify your own IAM roles, you can take the following steps: Begin with the default policies and adapt as required. For more information, see "Default permissions for IAM instance profiles". Use the AWS Identity and Access Management Access Analyzer (IAM Access Analyzer) to create a policy template that is based on the cluster's activity. For more information see, "Using AWS IAM Analyzer to create policy templates". 2.5.1. Default permissions for IAM instance profiles By default, the installation program creates IAM instance profiles for the bootstrap, control plane and worker instances with the necessary permissions for the cluster to operate. The following lists specify the default permissions for control plane and compute machines: Example 2.14. Default IAM role permissions for control plane instance profiles ec2:AttachVolume ec2:AuthorizeSecurityGroupIngress ec2:CreateSecurityGroup ec2:CreateTags ec2:CreateVolume ec2:DeleteSecurityGroup ec2:DeleteVolume ec2:Describe* ec2:DetachVolume ec2:ModifyInstanceAttribute ec2:ModifyVolume ec2:RevokeSecurityGroupIngress elasticloadbalancing:AddTags elasticloadbalancing:AttachLoadBalancerToSubnets elasticloadbalancing:ApplySecurityGroupsToLoadBalancer elasticloadbalancing:CreateListener elasticloadbalancing:CreateLoadBalancer elasticloadbalancing:CreateLoadBalancerPolicy elasticloadbalancing:CreateLoadBalancerListeners elasticloadbalancing:CreateTargetGroup elasticloadbalancing:ConfigureHealthCheck elasticloadbalancing:DeleteListener elasticloadbalancing:DeleteLoadBalancer elasticloadbalancing:DeleteLoadBalancerListeners elasticloadbalancing:DeleteTargetGroup elasticloadbalancing:DeregisterInstancesFromLoadBalancer elasticloadbalancing:DeregisterTargets elasticloadbalancing:Describe* elasticloadbalancing:DetachLoadBalancerFromSubnets elasticloadbalancing:ModifyListener elasticloadbalancing:ModifyLoadBalancerAttributes elasticloadbalancing:ModifyTargetGroup elasticloadbalancing:ModifyTargetGroupAttributes elasticloadbalancing:RegisterInstancesWithLoadBalancer elasticloadbalancing:RegisterTargets elasticloadbalancing:SetLoadBalancerPoliciesForBackendServer elasticloadbalancing:SetLoadBalancerPoliciesOfListener kms:DescribeKey Example 2.15. Default IAM role permissions for compute instance profiles ec2:DescribeInstances ec2:DescribeRegions 2.5.2. Specifying an existing IAM role Instead of allowing the installation program to create IAM instance profiles with the default permissions, you can use the install-config.yaml file to specify an existing IAM role for control plane and compute instances. Prerequisites You have an existing install-config.yaml file. Procedure Update compute.platform.aws.iamRole with an existing role for the compute machines. Sample install-config.yaml file with an IAM role for compute instances compute: - hyperthreading: Enabled name: worker platform: aws: iamRole: ExampleRole Update controlPlane.platform.aws.iamRole with an existing role for the control plane machines. Sample install-config.yaml file with an IAM role for control plane instances controlPlane: hyperthreading: Enabled name: master platform: aws: iamRole: ExampleRole Save the file and reference it when installing the OpenShift Container Platform cluster. Note To change or update an IAM account after the cluster has been installed, see RHOCP 4 AWS cloud-credentials access key is expired (Red Hat Knowledgebase). Additional resources See Deploying the cluster . 2.5.3. Using AWS IAM Analyzer to create policy templates The minimal set of permissions that the control plane and compute instance profiles require depends on how the cluster is configured for its daily operation. One way to determine which permissions the cluster instances require is to use the AWS Identity and Access Management Access Analyzer (IAM Access Analyzer) to create a policy template: A policy template contains the permissions the cluster has used over a specified period of time. You can then use the template to create policies with fine-grained permissions. Procedure The overall process could be: Ensure that CloudTrail is enabled. CloudTrail records all of the actions and events in your AWS account, including the API calls that are required to create a policy template. For more information, see the AWS documentation for working with CloudTrail . Create an instance profile for control plane instances and an instance profile for compute instances. Be sure to assign each role a permissive policy, such as PowerUserAccess. For more information, see the AWS documentation for creating instance profile roles . Install the cluster in a development environment and configure it as required. Be sure to deploy all of applications the cluster will host in a production environment. Test the cluster thoroughly. Testing the cluster ensures that all of the required API calls are logged. Use the IAM Access Analyzer to create a policy template for each instance profile. For more information, see the AWS documentation for generating policies based on the CloudTrail logs . Create and add a fine-grained policy to each instance profile. Remove the permissive policy from each instance profile. Deploy a production cluster using the existing instance profiles with the new policies. Note You can add IAM Conditions to your policy to make it more restrictive and compliant with your organization security requirements. 2.6. Supported AWS Marketplace regions Installing an OpenShift Container Platform cluster using an AWS Marketplace image is available to customers who purchase the offer in North America. While the offer must be purchased in North America, you can deploy the cluster to any of the following supported paritions: Public GovCloud Note Deploying a OpenShift Container Platform cluster using an AWS Marketplace image is not supported for the AWS secret regions or China regions. 2.7. Supported AWS regions You can deploy an OpenShift Container Platform cluster to the following regions. Note Your IAM user must have the permission tag:GetResources in the region us-east-1 to delete the base cluster resources. As part of the AWS API requirement, the OpenShift Container Platform installation program performs various actions in this region. 2.7.1. AWS public regions The following AWS public regions are supported: af-south-1 (Cape Town) ap-east-1 (Hong Kong) ap-northeast-1 (Tokyo) ap-northeast-2 (Seoul) ap-northeast-3 (Osaka) ap-south-1 (Mumbai) ap-south-2 (Hyderabad) ap-southeast-1 (Singapore) ap-southeast-2 (Sydney) ap-southeast-3 (Jakarta) ap-southeast-4 (Melbourne) ca-central-1 (Central) eu-central-1 (Frankfurt) eu-central-2 (Zurich) eu-north-1 (Stockholm) eu-south-1 (Milan) eu-south-2 (Spain) eu-west-1 (Ireland) eu-west-2 (London) eu-west-3 (Paris) me-central-1 (UAE) me-south-1 (Bahrain) sa-east-1 (Sao Paulo) us-east-1 (N. Virginia) us-east-2 (Ohio) us-west-1 (N. California) us-west-2 (Oregon) 2.7.2. AWS GovCloud regions The following AWS GovCloud regions are supported: us-gov-west-1 us-gov-east-1 2.7.3. AWS SC2S and C2S secret regions The following AWS secret regions are supported: us-isob-east-1 Secret Commercial Cloud Services (SC2S) us-iso-east-1 Commercial Cloud Services (C2S) 2.7.4. AWS China regions The following AWS China regions are supported: cn-north-1 (Beijing) cn-northwest-1 (Ningxia) 2.8. steps Install an OpenShift Container Platform cluster: Quickly install a cluster with default options on installer-provisioned infrastructure Install a cluster with cloud customizations on installer-provisioned infrastructure Install a cluster with network customizations on installer-provisioned infrastructure Installing a cluster on user-provisioned infrastructure in AWS by using CloudFormation templates Installing a cluster on AWS with remote workers on AWS Outposts | [
"platform: aws: region: us-gov-west-1 serviceEndpoints: - name: ec2 url: https://ec2.us-gov-west-1.amazonaws.com - name: elasticloadbalancing url: https://elasticloadbalancing.us-gov-west-1.amazonaws.com - name: route53 url: https://route53.us-gov.amazonaws.com 1 - name: tagging url: https://tagging.us-gov-west-1.amazonaws.com 2",
"compute: - hyperthreading: Enabled name: worker platform: aws: iamRole: ExampleRole",
"controlPlane: hyperthreading: Enabled name: master platform: aws: iamRole: ExampleRole"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.12/html/installing_on_aws/installing-aws-account |
Pipelines | Pipelines OpenShift Container Platform 4.12 A cloud-native continuous integration and continuous delivery solution based on Kubernetes resources Red Hat OpenShift Documentation Team | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.12/html/pipelines/index |
Chapter 5. Configuration options | Chapter 5. Configuration options This chapter lists the available configuration options for AMQ Core Protocol JMS. JMS configuration options are set as query parameters on the connection URI. For more information, see Section 4.3, "Connection URIs" . 5.1. General options user The user name the client uses to authenticate the connection. password The password the client uses to authenticate the connection. clientID The client ID that the client applies to the connection. groupID The group ID that the client applies to all produced messages. autoGroup If enabled, generate a random group ID and apply it to all produced messages. preAcknowledge If enabled, acknowledge messages as soon as they are sent and before delivery is complete. This provides "at most once" delivery. It is disabled by default. blockOnDurableSend If enabled, when sending non-transacted durable messages, block until the remote peer acknowledges receipt. It is enabled by default. blockOnNonDurableSend If enabled, when sending non-transacted non-durable messages, block until the remote peer acknowledges receipt. It is disabled by default. blockOnAcknowledge If enabled, when acknowledging non-transacted received messages, block until the remote peer confirms acknowledgment. It is disabled by default. callTimeout The time in milliseconds to wait for a blocking call to complete. The default is 30000 (30 seconds). callFailoverTimeout When the client is in the process of failing over, the time in millisconds to wait before starting a blocking call. The default is 30000 (30 seconds). ackBatchSize The number of bytes a client can receive and acknowledge before the acknowledgement is sent to the broker. The default is 1048576 (1 MiB). dupsOKBatchSize When using the DUPS_OK_ACKNOWLEDGE acknowledgment mode, the size in bytes of acknowledgment batches. The default is 1048576 (1 MiB). transactionBatchSize When receiving messsages in a transaction, the size in bytes of acknowledgment batches. The default is 1048576 (1 MiB). cacheDestinations If enabled, cache destination lookups. It is disabled by default. 5.2. TCP options tcpNoDelay If enabled, do not delay and buffer TCP sends. It is enabled by default. tcpSendBufferSize The send buffer size in bytes. The default is 32768 (32 KiB). tcpReceiveBufferSize The receive buffer size in bytes. The default is 32768 (32 KiB). writeBufferLowWaterMark The limit in bytes below which the write buffer becomes writable. The default is 32768 (32 KiB). writeBufferHighWaterMark The limit in bytes above which the write buffer becomes non-writable. The default is 131072 (128 KiB). 5.3. SSL/TLS options sslEnabled If enabled, use SSL/TLS to authenticate and encrypt connections. It is disabled by default. keyStorePath The path to the SSL/TLS key store. A key store is required for mutual SSL/TLS authentication. If unset, the value of the javax.net.ssl.keyStore system property is used. keyStorePassword The password for the SSL/TLS key store. If unset, the value of the javax.net.ssl.keyStorePassword system property is used. trustStorePath The path to the SSL/TLS trust store. If unset, the value of the javax.net.ssl.trustStore system property is used. trustStorePassword The password for the SSL/TLS trust store. If unset, the value of the javax.net.ssl.trustStorePassword system property is used. trustAll If enabled, trust the provided server certificate implicitly, regardless of any configured trust store. It is disabled by default. verifyHost If enabled, verify that the connection hostname matches the provided server certificate. It is disabled by default. enabledCipherSuites A comma-separated list of cipher suites to enable. If unset, the JVM default ciphers are used. enabledProtocols A comma-separated list of SSL/TLS protocols to enable. If unset, the JVM default protocols are used. 5.4. Failover options initialConnectAttempts The number of reconnect attempts allowed before the first successful connection and before the client discovers the broker topology. The default is 0, meaning only one attempt is allowed. failoverOnInitialConnection If enabled, attempt to connect to the backup server if the initial connection fails. It is disabled by default. reconnectAttempts The number of reconnect attempts allowed before reporting the connection as failed. A value of -1 signifies an unlimited number of attempts. The default value is 0. retryInterval The time in milliseconds between reconnect attempts. The default is 2000 (2 seconds). retryIntervalMultiplier The multiplier used to grow the retry interval. The default is 1.0, meaning equal intervals. maxRetryInterval The maximum time in milliseconds between reconnect attempts. The default is 2000 (2 seconds). ha If enabled, track changes in the topology of HA brokers. The host and port from the URI is used only for the initial connection. After initial connection, the client receives the current failover endpoints and any updates resulting from topology changes. It is disabled by default. connectionTTL The time in milliseconds after which the connection is failed if the server sends no ping packets. The default is 60000 (1 minute). -1 disables the timeout. confirmationWindowSize The size in bytes of the command replay buffer. This is used for automatic session re-attachment on reconnect. The default is -1, meaning no automatic re-attachment. clientFailureCheckPeriod The time in milliseconds between checks for dead connections. The default is 30000 (30 seconds). -1 disables checking. 5.5. Flow control options For more information, see Chapter 8, Flow control . consumerWindowSize The size in bytes of the per-consumer message prefetch buffer. The default is 1048576 (1 MiB). -1 means no limit. 0 disables prefetching. consumerMaxRate The maximum number of messages to consume per second. The default is -1, meaning no limit. producerWindowSize The requested size in bytes for credit to produce more messages. This limits the total amount of data in flight at one time. The default is 1048576 (1 MiB). -1 means no limit. producerMaxRate The maximum number of messages to produce per second. The default is -1, meaning no limit. 5.6. Load balancing options useTopologyForLoadBalancing If enabled, use the cluster topology for connection load balancing. It is enabled by default. connectionLoadBalancingPolicyClassName The class name of the connection load balancing policy. The default is org.apache.activemq.artemis.api.core.client.loadbalance.RoundRobinConnectionLoadBalancingPolicy . 5.7. Large message options The client can enable large message support by setting a value for the property minLargeMessageSize . Any message larger than minLargeMessageSize is considered a large message. minLargeMessageSize The minimum size in bytes at which a message is treated as a large message. The default is 102400 (100 KiB). compressLargeMessage If enabled, compress large messages, as defined by minLargeMessageSize . It is disabled by default. Note If the compressed size of a large message is less than the value of minLargeMessageSize , the message is sent as a regular message. Therefore, it is not written to the broker's large-message data directory. 5.8. Threading options useGlobalPools If enabled, use one pool of threads for all ConnectionFactory instances. Otherwise, use a separate pool for each instance. It is enabled by default. threadPoolMaxSize The maximum number of threads in the general thread pool. The default is -1, meaning no limit. scheduledThreadPoolMaxSize The maximum number of threads in the thread pool for scheduled operations. The default is 5. | null | https://docs.redhat.com/en/documentation/red_hat_amq_core_protocol_jms/7.11/html/using_amq_core_protocol_jms/configuration_options |
Chapter 8. ServiceMonitor [monitoring.coreos.com/v1] | Chapter 8. ServiceMonitor [monitoring.coreos.com/v1] Description ServiceMonitor defines monitoring for a set of services. Type object Required spec 8.1. Specification Property Type Description apiVersion string APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources kind string Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds metadata ObjectMeta Standard object's metadata. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata spec object Specification of desired Service selection for target discovery by Prometheus. 8.1.1. .spec Description Specification of desired Service selection for target discovery by Prometheus. Type object Required endpoints selector Property Type Description attachMetadata object Attaches node metadata to discovered targets. Requires Prometheus v2.37.0 and above. endpoints array A list of endpoints allowed as part of this ServiceMonitor. endpoints[] object Endpoint defines a scrapeable endpoint serving Prometheus metrics. jobLabel string JobLabel selects the label from the associated Kubernetes service which will be used as the job label for all metrics. For example: If in ServiceMonitor.spec.jobLabel: foo and in Service.metadata.labels.foo: bar , then the job="bar" label is added to all metrics. If the value of this field is empty or if the label doesn't exist for the given Service, the job label of the metrics defaults to the name of the Kubernetes Service. labelLimit integer Per-scrape limit on number of labels that will be accepted for a sample. Only valid in Prometheus versions 2.27.0 and newer. labelNameLengthLimit integer Per-scrape limit on length of labels name that will be accepted for a sample. Only valid in Prometheus versions 2.27.0 and newer. labelValueLengthLimit integer Per-scrape limit on length of labels value that will be accepted for a sample. Only valid in Prometheus versions 2.27.0 and newer. namespaceSelector object Selector to select which namespaces the Kubernetes Endpoints objects are discovered from. podTargetLabels array (string) PodTargetLabels transfers labels on the Kubernetes Pod onto the created metrics. sampleLimit integer SampleLimit defines per-scrape limit on number of scraped samples that will be accepted. selector object Selector to select Endpoints objects. targetLabels array (string) TargetLabels transfers labels from the Kubernetes Service onto the created metrics. targetLimit integer TargetLimit defines a limit on the number of scraped targets that will be accepted. 8.1.2. .spec.attachMetadata Description Attaches node metadata to discovered targets. Requires Prometheus v2.37.0 and above. Type object Property Type Description node boolean When set to true, Prometheus must have permissions to get Nodes. 8.1.3. .spec.endpoints Description A list of endpoints allowed as part of this ServiceMonitor. Type array 8.1.4. .spec.endpoints[] Description Endpoint defines a scrapeable endpoint serving Prometheus metrics. Type object Property Type Description authorization object Authorization section for this endpoint basicAuth object BasicAuth allow an endpoint to authenticate over basic authentication More info: https://prometheus.io/docs/operating/configuration/#endpoints bearerTokenFile string File to read bearer token for scraping targets. bearerTokenSecret object Secret to mount to read bearer token for scraping targets. The secret needs to be in the same namespace as the service monitor and accessible by the Prometheus Operator. enableHttp2 boolean Whether to enable HTTP2. filterRunning boolean Drop pods that are not running. (Failed, Succeeded). Enabled by default. More info: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#pod-phase followRedirects boolean FollowRedirects configures whether scrape requests follow HTTP 3xx redirects. honorLabels boolean HonorLabels chooses the metric's labels on collisions with target labels. honorTimestamps boolean HonorTimestamps controls whether Prometheus respects the timestamps present in scraped data. interval string Interval at which metrics should be scraped If not specified Prometheus' global scrape interval is used. metricRelabelings array MetricRelabelConfigs to apply to samples before ingestion. metricRelabelings[] object RelabelConfig allows dynamic rewriting of the label set, being applied to samples before ingestion. It defines <metric_relabel_configs> -section of Prometheus configuration. More info: https://prometheus.io/docs/prometheus/latest/configuration/configuration/#metric_relabel_configs oauth2 object OAuth2 for the URL. Only valid in Prometheus versions 2.27.0 and newer. params object Optional HTTP URL parameters params{} array (string) path string HTTP path to scrape for metrics. If empty, Prometheus uses the default value (e.g. /metrics ). port string Name of the service port this endpoint refers to. Mutually exclusive with targetPort. proxyUrl string ProxyURL eg http://proxyserver:2195 Directs scrapes to proxy through this endpoint. relabelings array RelabelConfigs to apply to samples before scraping. Prometheus Operator automatically adds relabelings for a few standard Kubernetes fields. The original scrape job's name is available via the \__tmp_prometheus_job_name label. More info: https://prometheus.io/docs/prometheus/latest/configuration/configuration/#relabel_config relabelings[] object RelabelConfig allows dynamic rewriting of the label set, being applied to samples before ingestion. It defines <metric_relabel_configs> -section of Prometheus configuration. More info: https://prometheus.io/docs/prometheus/latest/configuration/configuration/#metric_relabel_configs scheme string HTTP scheme to use for scraping. scrapeTimeout string Timeout after which the scrape is ended If not specified, the Prometheus global scrape timeout is used unless it is less than Interval in which the latter is used. targetPort integer-or-string Name or number of the target port of the Pod behind the Service, the port must be specified with container port property. Mutually exclusive with port. tlsConfig object TLS configuration to use when scraping the endpoint 8.1.5. .spec.endpoints[].authorization Description Authorization section for this endpoint Type object Property Type Description credentials object The secret's key that contains the credentials of the request type string Set the authentication type. Defaults to Bearer, Basic will cause an error 8.1.6. .spec.endpoints[].authorization.credentials Description The secret's key that contains the credentials of the request Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.7. .spec.endpoints[].basicAuth Description BasicAuth allow an endpoint to authenticate over basic authentication More info: https://prometheus.io/docs/operating/configuration/#endpoints Type object Property Type Description password object The secret in the service monitor namespace that contains the password for authentication. username object The secret in the service monitor namespace that contains the username for authentication. 8.1.8. .spec.endpoints[].basicAuth.password Description The secret in the service monitor namespace that contains the password for authentication. Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.9. .spec.endpoints[].basicAuth.username Description The secret in the service monitor namespace that contains the username for authentication. Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.10. .spec.endpoints[].bearerTokenSecret Description Secret to mount to read bearer token for scraping targets. The secret needs to be in the same namespace as the service monitor and accessible by the Prometheus Operator. Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.11. .spec.endpoints[].metricRelabelings Description MetricRelabelConfigs to apply to samples before ingestion. Type array 8.1.12. .spec.endpoints[].metricRelabelings[] Description RelabelConfig allows dynamic rewriting of the label set, being applied to samples before ingestion. It defines <metric_relabel_configs> -section of Prometheus configuration. More info: https://prometheus.io/docs/prometheus/latest/configuration/configuration/#metric_relabel_configs Type object Property Type Description action string Action to perform based on regex matching. Default is 'replace'. uppercase and lowercase actions require Prometheus >= 2.36. modulus integer Modulus to take of the hash of the source label values. regex string Regular expression against which the extracted value is matched. Default is '(.*)' replacement string Replacement value against which a regex replace is performed if the regular expression matches. Regex capture groups are available. Default is 'USD1' separator string Separator placed between concatenated source label values. default is ';'. sourceLabels array (string) The source labels select values from existing labels. Their content is concatenated using the configured separator and matched against the configured regular expression for the replace, keep, and drop actions. targetLabel string Label to which the resulting value is written in a replace action. It is mandatory for replace actions. Regex capture groups are available. 8.1.13. .spec.endpoints[].oauth2 Description OAuth2 for the URL. Only valid in Prometheus versions 2.27.0 and newer. Type object Required clientId clientSecret tokenUrl Property Type Description clientId object The secret or configmap containing the OAuth2 client id clientSecret object The secret containing the OAuth2 client secret endpointParams object (string) Parameters to append to the token URL scopes array (string) OAuth2 scopes used for the token request tokenUrl string The URL to fetch the token from 8.1.14. .spec.endpoints[].oauth2.clientId Description The secret or configmap containing the OAuth2 client id Type object Property Type Description configMap object ConfigMap containing data to use for the targets. secret object Secret containing data to use for the targets. 8.1.15. .spec.endpoints[].oauth2.clientId.configMap Description ConfigMap containing data to use for the targets. Type object Required key Property Type Description key string The key to select. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the ConfigMap or its key must be defined 8.1.16. .spec.endpoints[].oauth2.clientId.secret Description Secret containing data to use for the targets. Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.17. .spec.endpoints[].oauth2.clientSecret Description The secret containing the OAuth2 client secret Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.18. .spec.endpoints[].params Description Optional HTTP URL parameters Type object 8.1.19. .spec.endpoints[].relabelings Description RelabelConfigs to apply to samples before scraping. Prometheus Operator automatically adds relabelings for a few standard Kubernetes fields. The original scrape job's name is available via the \__tmp_prometheus_job_name label. More info: https://prometheus.io/docs/prometheus/latest/configuration/configuration/#relabel_config Type array 8.1.20. .spec.endpoints[].relabelings[] Description RelabelConfig allows dynamic rewriting of the label set, being applied to samples before ingestion. It defines <metric_relabel_configs> -section of Prometheus configuration. More info: https://prometheus.io/docs/prometheus/latest/configuration/configuration/#metric_relabel_configs Type object Property Type Description action string Action to perform based on regex matching. Default is 'replace'. uppercase and lowercase actions require Prometheus >= 2.36. modulus integer Modulus to take of the hash of the source label values. regex string Regular expression against which the extracted value is matched. Default is '(.*)' replacement string Replacement value against which a regex replace is performed if the regular expression matches. Regex capture groups are available. Default is 'USD1' separator string Separator placed between concatenated source label values. default is ';'. sourceLabels array (string) The source labels select values from existing labels. Their content is concatenated using the configured separator and matched against the configured regular expression for the replace, keep, and drop actions. targetLabel string Label to which the resulting value is written in a replace action. It is mandatory for replace actions. Regex capture groups are available. 8.1.21. .spec.endpoints[].tlsConfig Description TLS configuration to use when scraping the endpoint Type object Property Type Description ca object Certificate authority used when verifying server certificates. caFile string Path to the CA cert in the Prometheus container to use for the targets. cert object Client certificate to present when doing client-authentication. certFile string Path to the client cert file in the Prometheus container for the targets. insecureSkipVerify boolean Disable target certificate validation. keyFile string Path to the client key file in the Prometheus container for the targets. keySecret object Secret containing the client key file for the targets. serverName string Used to verify the hostname for the targets. 8.1.22. .spec.endpoints[].tlsConfig.ca Description Certificate authority used when verifying server certificates. Type object Property Type Description configMap object ConfigMap containing data to use for the targets. secret object Secret containing data to use for the targets. 8.1.23. .spec.endpoints[].tlsConfig.ca.configMap Description ConfigMap containing data to use for the targets. Type object Required key Property Type Description key string The key to select. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the ConfigMap or its key must be defined 8.1.24. .spec.endpoints[].tlsConfig.ca.secret Description Secret containing data to use for the targets. Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.25. .spec.endpoints[].tlsConfig.cert Description Client certificate to present when doing client-authentication. Type object Property Type Description configMap object ConfigMap containing data to use for the targets. secret object Secret containing data to use for the targets. 8.1.26. .spec.endpoints[].tlsConfig.cert.configMap Description ConfigMap containing data to use for the targets. Type object Required key Property Type Description key string The key to select. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the ConfigMap or its key must be defined 8.1.27. .spec.endpoints[].tlsConfig.cert.secret Description Secret containing data to use for the targets. Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.28. .spec.endpoints[].tlsConfig.keySecret Description Secret containing the client key file for the targets. Type object Required key Property Type Description key string The key of the secret to select from. Must be a valid secret key. name string Name of the referent. More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names TODO: Add other useful fields. apiVersion, kind, uid? optional boolean Specify whether the Secret or its key must be defined 8.1.29. .spec.namespaceSelector Description Selector to select which namespaces the Kubernetes Endpoints objects are discovered from. Type object Property Type Description any boolean Boolean describing whether all namespaces are selected in contrast to a list restricting them. matchNames array (string) List of namespace names to select from. 8.1.30. .spec.selector Description Selector to select Endpoints objects. Type object Property Type Description matchExpressions array matchExpressions is a list of label selector requirements. The requirements are ANDed. matchExpressions[] object A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values. matchLabels object (string) matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is "key", the operator is "In", and the values array contains only "value". The requirements are ANDed. 8.1.31. .spec.selector.matchExpressions Description matchExpressions is a list of label selector requirements. The requirements are ANDed. Type array 8.1.32. .spec.selector.matchExpressions[] Description A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values. Type object Required key operator Property Type Description key string key is the label key that the selector applies to. operator string operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist. values array (string) values is an array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. This array is replaced during a strategic merge patch. 8.2. API endpoints The following API endpoints are available: /apis/monitoring.coreos.com/v1/servicemonitors GET : list objects of kind ServiceMonitor /apis/monitoring.coreos.com/v1/namespaces/{namespace}/servicemonitors DELETE : delete collection of ServiceMonitor GET : list objects of kind ServiceMonitor POST : create a ServiceMonitor /apis/monitoring.coreos.com/v1/namespaces/{namespace}/servicemonitors/{name} DELETE : delete a ServiceMonitor GET : read the specified ServiceMonitor PATCH : partially update the specified ServiceMonitor PUT : replace the specified ServiceMonitor 8.2.1. /apis/monitoring.coreos.com/v1/servicemonitors Table 8.1. Global query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. pretty string If 'true', then the output is pretty printed. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. HTTP method GET Description list objects of kind ServiceMonitor Table 8.2. HTTP responses HTTP code Reponse body 200 - OK ServiceMonitorList schema 401 - Unauthorized Empty 8.2.2. /apis/monitoring.coreos.com/v1/namespaces/{namespace}/servicemonitors Table 8.3. Global path parameters Parameter Type Description namespace string object name and auth scope, such as for teams and projects Table 8.4. Global query parameters Parameter Type Description pretty string If 'true', then the output is pretty printed. HTTP method DELETE Description delete collection of ServiceMonitor Table 8.5. Query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. Table 8.6. HTTP responses HTTP code Reponse body 200 - OK Status schema 401 - Unauthorized Empty HTTP method GET Description list objects of kind ServiceMonitor Table 8.7. Query parameters Parameter Type Description allowWatchBookmarks boolean allowWatchBookmarks requests watch events with type "BOOKMARK". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. continue string The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the key, but from the latest snapshot, which is inconsistent from the list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the " key". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. fieldSelector string A selector to restrict the list of returned objects by their fields. Defaults to everything. labelSelector string A selector to restrict the list of returned objects by their labels. Defaults to everything. limit integer limit is a maximum number of responses to return for a list call. If more items exist, the server will set the continue field on the list metadata to a value that can be used with the same initial query to retrieve the set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset resourceVersionMatch string resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset timeoutSeconds integer Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. watch boolean Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. Table 8.8. HTTP responses HTTP code Reponse body 200 - OK ServiceMonitorList schema 401 - Unauthorized Empty HTTP method POST Description create a ServiceMonitor Table 8.9. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed fieldManager string fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint . fieldValidation string fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields, provided that the ServerSideFieldValidation feature gate is also enabled. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23 and is the default behavior when the ServerSideFieldValidation feature gate is disabled. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default when the ServerSideFieldValidation feature gate is enabled. - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. Table 8.10. Body parameters Parameter Type Description body ServiceMonitor schema Table 8.11. HTTP responses HTTP code Reponse body 200 - OK ServiceMonitor schema 201 - Created ServiceMonitor schema 202 - Accepted ServiceMonitor schema 401 - Unauthorized Empty 8.2.3. /apis/monitoring.coreos.com/v1/namespaces/{namespace}/servicemonitors/{name} Table 8.12. Global path parameters Parameter Type Description name string name of the ServiceMonitor namespace string object name and auth scope, such as for teams and projects Table 8.13. Global query parameters Parameter Type Description pretty string If 'true', then the output is pretty printed. HTTP method DELETE Description delete a ServiceMonitor Table 8.14. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed gracePeriodSeconds integer The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. orphanDependents boolean Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the "orphan" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. propagationPolicy string Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. Table 8.15. Body parameters Parameter Type Description body DeleteOptions schema Table 8.16. HTTP responses HTTP code Reponse body 200 - OK Status schema 202 - Accepted Status schema 401 - Unauthorized Empty HTTP method GET Description read the specified ServiceMonitor Table 8.17. Query parameters Parameter Type Description resourceVersion string resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset Table 8.18. HTTP responses HTTP code Reponse body 200 - OK ServiceMonitor schema 401 - Unauthorized Empty HTTP method PATCH Description partially update the specified ServiceMonitor Table 8.19. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed fieldManager string fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint . fieldValidation string fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields, provided that the ServerSideFieldValidation feature gate is also enabled. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23 and is the default behavior when the ServerSideFieldValidation feature gate is disabled. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default when the ServerSideFieldValidation feature gate is enabled. - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. Table 8.20. Body parameters Parameter Type Description body Patch schema Table 8.21. HTTP responses HTTP code Reponse body 200 - OK ServiceMonitor schema 401 - Unauthorized Empty HTTP method PUT Description replace the specified ServiceMonitor Table 8.22. Query parameters Parameter Type Description dryRun string When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed fieldManager string fieldManager is a name associated with the actor or entity that is making these changes. The value must be less than or 128 characters long, and only contain printable characters, as defined by https://golang.org/pkg/unicode/#IsPrint . fieldValidation string fieldValidation instructs the server on how to handle objects in the request (POST/PUT/PATCH) containing unknown or duplicate fields, provided that the ServerSideFieldValidation feature gate is also enabled. Valid values are: - Ignore: This will ignore any unknown fields that are silently dropped from the object, and will ignore all but the last duplicate field that the decoder encounters. This is the default behavior prior to v1.23 and is the default behavior when the ServerSideFieldValidation feature gate is disabled. - Warn: This will send a warning via the standard warning response header for each unknown field that is dropped from the object, and for each duplicate field that is encountered. The request will still succeed if there are no other errors, and will only persist the last of any duplicate fields. This is the default when the ServerSideFieldValidation feature gate is enabled. - Strict: This will fail the request with a BadRequest error if any unknown fields would be dropped from the object, or if any duplicate fields are present. The error returned from the server will contain all unknown and duplicate fields encountered. Table 8.23. Body parameters Parameter Type Description body ServiceMonitor schema Table 8.24. HTTP responses HTTP code Reponse body 200 - OK ServiceMonitor schema 201 - Created ServiceMonitor schema 401 - Unauthorized Empty | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.13/html/monitoring_apis/servicemonitor-monitoring-coreos-com-v1 |
6.4. CPU Quality of Service | 6.4. CPU Quality of Service CPU quality of service defines the maximum amount of processing capability a virtual machine can access on the host on which it runs, expressed as a percent of the total processing capability available to that host. Assigning CPU quality of service to a virtual machine allows you to prevent the workload on one virtual machine in a cluster from affecting the processing resources available to other virtual machines in that cluster. 6.4.1. Creating a CPU Quality of Service Entry Create a CPU quality of service entry. Creating a CPU Quality of Service Entry Click Compute Data Centers . Click a data center's name to open the details view. Click the QoS tab. Under CPU , click New . Enter a QoS Name and a Description for the quality of service entry. Enter the maximum processing capability the quality of service entry permits in the Limit (%) field. Do not include the % symbol. Click OK . You have created a CPU quality of service entry, and can create CPU profiles based on that entry in clusters that belong to the data center. 6.4.2. Removing a CPU Quality of Service Entry Remove an existing CPU quality of service entry. Removing a CPU Quality of Service Entry Click Compute Data Centers . Click a data center's name to open the details view. Click the QoS tab. Under CPU , select a CPU quality of service entry and click Remove . Click OK . If any CPU profiles were based on that entry, the CPU quality of service entry for those profiles is automatically set to [unlimited] . | null | https://docs.redhat.com/en/documentation/red_hat_virtualization/4.3/html/administration_guide/sect-cpu_quality_of_service |
8.222. tuned | 8.222. tuned 8.222.1. RHBA-2013:1623 - tuned bug fix and enhancement update Updated tuned packages that fix several bugs and add one enhancement are now available for Red Hat Enterprise Linux 6. The tuned packages contain a daemon that tunes system settings dynamically. It does so by monitoring the usage of several system components periodically. Bug Fixes BZ# 904062 Previously, when multiple devices were added into the system, a udev rule restarted the ktune service for each new device. This could lead to many restarts in a short period of time. The multiple restarts could trigger a race condition in the kernel, which cannot be currently fixed. The tuned daemon code has been modified not to trigger more than one restart per 10 seconds, thus preventing the race condition from occurring. BZ# 969491 The kernel.sched_migration_cost tunable was previously kept at its default value of 0.5 ms. As a consequence, big virtualization hosts could experience high contention at the run queue lock. With this update, the kernel.sched_migration_cost tunable has been increased 10 times in the virtual-host profile, which eliminates the contention. BZ# 905077 Previously, the ktune service did not save readahead values. On startup, it multiplied the current value by a constant and divided the value by the same constant on stop. This could result in a wrong value being set on devices that were added after ktune had been started. Now, the readahead values are stored for all devices and the correct values are restored on ktune stop. BZ# 912788 Previously, the tuned utility did not support the upstream /sys/kernel/mm/transparent_hugepage location for Transparent Huge Pages (THP). The code has been modified and support for the SYSFS path used by upstream has been added. Tuned now supports the aforementioned upstream path as well as the Red Hat Enterprise Linux specific one. BZ# 982756 There was a typo in the USB autosuspend code and also an old non-functional code in the function that handles Bluetooth. As a consequence, various errors occurred when the user activated the spindown-disk profile. The typo has been fixed and the Bluetooth code has been updated. As a result, errors no longer occur when the spindown-disk profile is activated. BZ# 838512 Previously, the mount command was used to remount file systems with the "no_barriers" option, but not all file systems could be remounted. As a consequence, the remount occasionally failed displaying an error message, which could confuse users. With this update, the error messages from the mount command have been silenced. Now, if the file system cannot be remounted with no_barriers, it is silently skipped and no error is displayed. BZ# 987547 Previously, the sysctl utility was loaded and the shell script was run before the elevator was changed. As a consequence, the user was unable to change or tune the elevator parameters. The code has been reordered to load sysctl and run the shell script after the elevator has been changed. As a result, the user can now tune the elevator parameters. BZ# 885080 The diskdevstat and netdevstat code was not consistent in naming the parameters in the built-in help. The terms "total-duration" and "total-interval" have been used to denote the same thing. With this update, the text has been updated to be consistent and now, only the "total-duration" string is used. BZ# 959732 Previously ktune did not handle the /etc/sysctl.d/ directory and did not support multiple files with sysctl settings. As a consequence, the settings that several packages, for example libvirt, installed in the /etc/sysctl.d directory, were ignored. Ater this update, the ktune code and profiles have been modified. Now all sysctl settings in the /etc/sysctl.d/ directory are loaded and then the /etc/sysctl.conf file is loaded. The user can now specify multiple sysctl files, including wildcards, to load in the tuned profiles. BZ# 964187 Previously, there was no documentation for the Tuned virtual-guest and virtual-host profiles. Descriptions for these profiles have been added to the tuned-adm manual page. BZ# 963821 Previously, there was an typo in the built-in help of the tuned-adm command. The text mentioned "tunning" instead of "tuning", in the description of tuned-adm. This update fixes the typo in the built-in help. BZ# 961792 Tuned previously locked the CPU to the C0 state in the latency-performance profile. With this update, the latency-performance profile has been modified to use the C1 state by default, thus improving the performance of the profile. Enhancements BZ# 964193 This update adds the "sapconf" package to the Tuned utility. The tuned-adm "sap" profile is used to optimize systems running SAP software, matching the relevant SAP guidelines. Users of tuned are advised to upgrade to these updated packages, which fix these bugs and add this enhancement. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/6.5_technical_notes/tuned |
Appendix B. Business Central system properties | Appendix B. Business Central system properties The Business Central system properties listed in this section are passed to standalone*.xml files. Git directory Use the following properties to set the location and name for the Business Central Git directory: org.uberfire.nio.git.dir : Location of the Business Central Git directory. org.uberfire.nio.git.dirname : Name of the Business Central Git directory. Default value: .niogit . org.uberfire.nio.git.ketch : Enables or disables Git ketch. org.uberfire.nio.git.hooks : Location of the Git hooks directory. Git over HTTP Use the following properties to configure access to the Git repository over HTTP: org.uberfire.nio.git.proxy.ssh.over.http : Specifies whether SSH should use an HTTP proxy. Default value: false . http.proxyHost : Defines the host name of the HTTP proxy. Default value: null . http.proxyPort : Defines the host port (integer value) of the HTTP proxy. Default value: null . http.proxyUser : Defines the user name of the HTTP proxy. http.proxyPassword : Defines the user password of the HTTP proxy. org.uberfire.nio.git.http.enabled : Enables or disables the HTTP daemon. Default value: true . org.uberfire.nio.git.http.host : If the HTTP daemon is enabled, it uses this property as the host identifier. This is an informative property that is used to display how to access the Git repository over HTTP. The HTTP still relies on the servlet container. Default value: localhost . org.uberfire.nio.git.http.hostname : If the HTTP daemon is enabled, it uses this property as the host name identifier. This is an informative property that is used to display how to access the Git repository over HTTP. The HTTP still relies on the servlet container. Default value: localhost . org.uberfire.nio.git.http.port : If the HTTP daemon is enabled, it uses this property as the port number. This is an informative property that is used to display how to access the Git repository over HTTP. The HTTP still relies on the servlet container. Default value: 8080 . Git over HTTPS Use the following properties to configure access to the Git repository over HTTPS: org.uberfire.nio.git.proxy.ssh.over.https : Specifies whether SSH uses an HTTPS proxy. Default value: false . https.proxyHost : Defines the host name of the HTTPS proxy. Default value: null . https.proxyPort : Defines the host port (integer value) of the HTTPS proxy. Default value: null . https.proxyUser : Defines the user name of the HTTPS proxy. https.proxyPassword : Defines the user password of the HTTPS proxy. user.dir : Location of the user directory. org.uberfire.nio.git.https.enabled : Enables or disables the HTTPS daemon. Default value: false org.uberfire.nio.git.https.host : If the HTTPS daemon is enabled, it uses this property as the host identifier. This is an informative property that is used to display how to access the Git repository over HTTPS. The HTTPS still relies on the servlet container. Default value: localhost . org.uberfire.nio.git.https.hostname : If the HTTPS daemon is enabled, it uses this property as the host name identifier. This is an informative property that is used to display how to access the Git repository over HTTPS. The HTTPS still relies on the servlet container. Default value: localhost . org.uberfire.nio.git.https.port : If the HTTPS daemon is enabled, it uses this property as the port number. This is an informative property that is used to display how to access the Git repository over HTTPS. The HTTPS still relies on the servlet container. Default value: 8080 . JGit org.uberfire.nio.jgit.cache.instances : Defines the JGit cache size. org.uberfire.nio.jgit.cache.overflow.cleanup.size : Defines the JGit cache overflow cleanup size. org.uberfire.nio.jgit.remove.eldest.iterations : Enables or disables whether to remove eldest JGit iterations. org.uberfire.nio.jgit.cache.evict.threshold.duration : Defines the JGit evict threshold duration. org.uberfire.nio.jgit.cache.evict.threshold.time.unit : Defines the JGit evict threshold time unit. Git daemon Use the following properties to enable and configure the Git daemon: org.uberfire.nio.git.daemon.enabled : Enables or disables the Git daemon. Default value: true . org.uberfire.nio.git.daemon.host : If the Git daemon is enabled, it uses this property as the local host identifier. Default value: localhost . org.uberfire.nio.git.daemon.hostname : If the Git daemon is enabled, it uses this property as the local host name identifier. Default value: localhost org.uberfire.nio.git.daemon.port : If the Git daemon is enabled, it uses this property as the port number. Default value: 9418 . org.uberfire.nio.git.http.sslVerify : Enables or disables SSL certificate checking for Git repositories. Default value: true . Note If the default or assigned port is already in use, a new port is automatically selected. Ensure that the ports are available and check the log for more information. Git SSH Use the following properties to enable and configure the Git SSH daemon: org.uberfire.nio.git.ssh.enabled : Enables or disables the SSH daemon. Default value: true . org.uberfire.nio.git.ssh.host : If the SSH daemon enabled, it uses this property as the local host identifier. Default value: localhost . org.uberfire.nio.git.ssh.hostname : If the SSH daemon is enabled, it uses this property as local host name identifier. Default value: localhost . org.uberfire.nio.git.ssh.port : If the SSH daemon is enabled, it uses this property as the port number. Default value: 8001 . Note If the default or assigned port is already in use, a new port is automatically selected. Ensure that the ports are available and check the log for more information. org.uberfire.nio.git.ssh.cert.dir : Location of the .security directory where local certificates are stored. Default value: Working directory. org.uberfire.nio.git.ssh.idle.timeout : Sets the SSH idle timeout. org.uberfire.nio.git.ssh.passphrase : Pass phrase used to access the public key store of your operating system when cloning git repositories with SCP style URLs. Example: [email protected]:user/repository.git . org.uberfire.nio.git.ssh.algorithm : Algorithm used by SSH. Default value: RSA . org.uberfire.nio.git.gc.limit : Sets the GC limit. org.uberfire.nio.git.ssh.ciphers : A comma-separated string of ciphers. The available ciphers are aes128-ctr , aes192-ctr , aes256-ctr , arcfour128 , arcfour256 , aes192-cbc , aes256-cbc . If the property is not used, all available ciphers are loaded. org.uberfire.nio.git.ssh.macs : A comma-separated string of message authentication codes (MACs). The available MACs are hmac-md5 , hmac-md5-96 , hmac-sha1 , hmac-sha1-96 , hmac-sha2-256 , hmac-sha2-512 . If the property is not used, all available MACs are loaded. Note If you plan to use RSA or any algorithm other than DSA, make sure you set up your application server to use the Bouncy Castle JCE library. KIE Server nodes and Process Automation Manager controller Use the following properties to configure the connections with the KIE Server nodes from the Process Automation Manager controller: org.kie.server.controller : The URL is used to connect to the Process Automation Manager controller. For example, ws://localhost:8080/business-central/websocket/controller . org.kie.server.user : User name used to connect to the KIE Server nodes from the Process Automation Manager controller. This property is only required when using this Business Central installation as a Process Automation Manager controller. org.kie.server.pwd : Password used to connect to the KIE Server nodes from the Process Automation Manager controller. This property is only required when using this Business Central installation as a Process Automation Manager controller. Maven and miscellaneous Use the following properties to configure Maven and other miscellaneous functions: kie.maven.offline.force : Forces Maven to behave as if offline. If true, disables online dependency resolution. Default value: false . Note Use this property for Business Central only. If you share a runtime environment with any other component, isolate the configuration and apply it only to Business Central. org.uberfire.gzip.enable : Enables or disables Gzip compression on the GzipFilter compression filter. Default value: true . org.kie.workbench.profile : Selects the Business Central profile. Possible values are FULL or PLANNER_AND_RULES . A prefix FULL_ sets the profile and hides the profile preferences from the administrator preferences. Default value: FULL org.appformer.m2repo.url : Business Central uses the default location of the Maven repository when looking for dependencies. It directs to the Maven repository inside Business Central, for example, http://localhost:8080/business-central/maven2 . Set this property before starting Business Central. Default value: File path to the inner m2 repository. appformer.ssh.keystore : Defines the custom SSH keystore to be used with Business Central by specifying a class name. If the property is not available, the default SSH keystore is used. appformer.ssh.keys.storage.folder : When using the default SSH keystore, this property defines the storage folder for the user's SSH public keys. If the property is not available, the keys are stored in the Business Central .security folder. appformer.experimental.features : Enables the experimental features framework. Default value: false . org.kie.demo : Enables an external clone of a demo application from GitHub. org.uberfire.metadata.index.dir : Place where the Lucene .index directory is stored. Default value: Working directory. org.uberfire.ldap.regex.role_mapper : Regex pattern used to map LDAP principal names to the application role name. Note that the variable role must be a part of the pattern as the application role name substitutes the variable role when matching a principle value and role name. org.uberfire.sys.repo.monitor.disabled : Disables the configuration monitor. Do not disable unless you are sure. Default value: false . org.uberfire.secure.key : Password used by password encryption. Default value: org.uberfire.admin . org.uberfire.secure.alg : Crypto algorithm used by password encryption. Default value: PBEWithMD5AndDES . org.uberfire.domain : Security-domain name used by uberfire. Default value: ApplicationRealm . org.guvnor.m2repo.dir : Place where the Maven repository folder is stored. Default value: <working-directory>/repositories/kie . org.guvnor.project.gav.check.disabled : Disables group ID, artifact ID, and version (GAV) checks. Default value: false . org.kie.build.disable-project-explorer : Disables automatic build of a selected project in Project Explorer. Default value: false . org.kie.builder.cache.size : Defines the cache size of the project builder. Default value: 20 . org.kie.library.assets_per_page : You can customize the number of assets per page in the project screen. Default value: 15 . org.kie.verification.disable-dtable-realtime-verification : Disables the real-time validation and verification of decision tables. Default value: false . Process Automation Manager controller Use the following properties to configure how to connect to the Process Automation Manager controller: org.kie.workbench.controller : The URL used to connect to the Process Automation Manager controller, for example, ws://localhost:8080/kie-server-controller/websocket/controller . org.kie.workbench.controller.user : The Process Automation Manager controller user. Default value: kieserver . org.kie.workbench.controller.pwd : The Process Automation Manager controller password. Default value: kieserver1! . org.kie.workbench.controller.token : The token string used to connect to the Process Automation Manager controller. Java Cryptography Extension KeyStore (JCEKS) Use the following properties to configure JCEKS: kie.keystore.keyStoreURL : The URL used to load a Java Cryptography Extension KeyStore (JCEKS). For example, file:///home/kie/keystores/keystore.jceks. kie.keystore.keyStorePwd : The password used for the JCEKS. kie.keystore.key.ctrl.alias : The alias of the key for the default REST Process Automation Manager controller. kie.keystore.key.ctrl.pwd : The password of the alias for the default REST Process Automation Manager controller. Rendering Use the following properties to switch between Business Central and KIE Server rendered forms: org.jbpm.wb.forms.renderer.ext : Switches the form rendering between Business Central and KIE Server. By default, the form rendering is performed by Business Central. Default value: false . org.jbpm.wb.forms.renderer.name : Enables you to switch between Business Central and KIE Server rendered forms. Default value: workbench . | null | https://docs.redhat.com/en/documentation/red_hat_decision_manager/7.13/html/installing_and_configuring_red_hat_decision_manager/business-central-system-properties-ref_install-on-jws |
Chapter 1. OpenShift image registry overview | Chapter 1. OpenShift image registry overview OpenShift Container Platform can build images from your source code, deploy them, and manage their lifecycle. It provides an internal, integrated container image registry that can be deployed in your OpenShift Container Platform environment to locally manage images. This overview contains reference information and links for registries commonly used with OpenShift Container Platform, with a focus on the OpenShift image registry. 1.1. Glossary of common terms for OpenShift image registry This glossary defines the common terms that are used in the registry content. container Lightweight and executable images that consist software and all its dependencies. Because containers virtualize the operating system, you can run containers in data center, a public or private cloud, or your local host. Image Registry Operator The Image Registry Operator runs in the openshift-image-registry namespace, and manages the registry instance in that location. image repository An image repository is a collection of related container images and tags identifying images. mirror registry The mirror registry is a registry that holds the mirror of OpenShift Container Platform images. namespace A namespace isolates groups of resources within a single cluster. pod The pod is the smallest logical unit in Kubernetes. A pod is comprised of one or more containers to run in a worker node. private registry A registry is a server that implements the container image registry API. A private registry is a registry that requires authentication to allow users access its contents. public registry A registry is a server that implements the container image registry API. A public registry is a registry that serves its contently publicly. Quay.io A public Red Hat Quay Container Registry instance provided and maintained by Red Hat, that serves most of the container images and Operators to OpenShift Container Platform clusters. OpenShift image registry OpenShift image registry is the registry provided by OpenShift Container Platform to manage images. registry authentication To push and pull images to and from private image repositories, the registry needs to authenticate its users with credentials. route Exposes a service to allow for network access to pods from users and applications outside the OpenShift Container Platform instance. scale down To decrease the number of replicas. scale up To increase the number of replicas. service A service exposes a running application on a set of pods. 1.2. Integrated OpenShift image registry OpenShift Container Platform provides a built-in container image registry that runs as a standard workload on the cluster. The registry is configured and managed by an infrastructure Operator. It provides an out-of-the-box solution for users to manage the images that run their workloads, and runs on top of the existing cluster infrastructure. This registry can be scaled up or down like any other cluster workload and does not require specific infrastructure provisioning. In addition, it is integrated into the cluster user authentication and authorization system, which means that access to create and retrieve images is controlled by defining user permissions on the image resources. The registry is typically used as a publication target for images built on the cluster, as well as being a source of images for workloads running on the cluster. When a new image is pushed to the registry, the cluster is notified of the new image and other components can react to and consume the updated image. Image data is stored in two locations. The actual image data is stored in a configurable storage location, such as cloud storage or a filesystem volume. The image metadata, which is exposed by the standard cluster APIs and is used to perform access control, is stored as standard API resources, specifically images and imagestreams. Additional resources Image Registry Operator in OpenShift Container Platform 1.3. Third-party registries OpenShift Container Platform can create containers using images from third-party registries, but it is unlikely that these registries offer the same image notification support as the integrated OpenShift image registry. In this situation, OpenShift Container Platform will fetch tags from the remote registry upon imagestream creation. To refresh the fetched tags, run oc import-image <stream> . When new images are detected, the previously described build and deployment reactions occur. 1.3.1. Authentication OpenShift Container Platform can communicate with registries to access private image repositories using credentials supplied by the user. This allows OpenShift Container Platform to push and pull images to and from private repositories. 1.3.1.1. Registry authentication with Podman Some container image registries require access authorization. Podman is an open source tool for managing containers and container images and interacting with image registries. You can use Podman to authenticate your credentials, pull the registry image, and store local images in a local file system. The following is a generic example of authenticating the registry with Podman. Procedure Use the Red Hat Ecosystem Catalog to search for specific container images from the Red Hat Repository and select the required image. Click Get this image to find the command for your container image. Login by running the following command and entering your username and password to authenticate: USD podman login registry.redhat.io Username:<your_registry_account_username> Password:<your_registry_account_password> Download the image and save it locally by running the following command: USD podman pull registry.redhat.io/<repository_name> 1.4. Red Hat Quay registries If you need an enterprise-quality container image registry, Red Hat Quay is available both as a hosted service and as software you can install in your own data center or cloud environment. Advanced features in Red Hat Quay include geo-replication, image scanning, and the ability to roll back images. Visit the Quay.io site to set up your own hosted Quay registry account. After that, follow the Quay Tutorial to log in to the Quay registry and start managing your images. You can access your Red Hat Quay registry from OpenShift Container Platform like any remote container image registry. Additional resources Red Hat Quay product documentation 1.5. Authentication enabled Red Hat registry All container images available through the Container images section of the Red Hat Ecosystem Catalog are hosted on an image registry, registry.redhat.io . The registry, registry.redhat.io , requires authentication for access to images and hosted content on OpenShift Container Platform. Following the move to the new registry, the existing registry will be available for a period of time. Note OpenShift Container Platform pulls images from registry.redhat.io , so you must configure your cluster to use it. The new registry uses standard OAuth mechanisms for authentication, with the following methods: Authentication token. Tokens, which are generated by administrators, are service accounts that give systems the ability to authenticate against the container image registry. Service accounts are not affected by changes in user accounts, so the token authentication method is reliable and resilient. This is the only supported authentication option for production clusters. Web username and password. This is the standard set of credentials you use to log in to resources such as access.redhat.com . While it is possible to use this authentication method with OpenShift Container Platform, it is not supported for production deployments. Restrict this authentication method to stand-alone projects outside OpenShift Container Platform. You can use podman login with your credentials, either username and password or authentication token, to access content on the new registry. All imagestreams point to the new registry, which uses the installation pull secret to authenticate. You must place your credentials in either of the following places: openshift namespace . Your credentials must exist in the openshift namespace so that the imagestreams in the openshift namespace can import. Your host . Your credentials must exist on your host because Kubernetes uses the credentials from your host when it goes to pull images. Additional resources Registry service accounts | [
"podman login registry.redhat.io Username:<your_registry_account_username> Password:<your_registry_account_password>",
"podman pull registry.redhat.io/<repository_name>"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.11/html/registry/registry-overview-1 |
Introducing Red Hat AMQ 7 | Introducing Red Hat AMQ 7 Red Hat AMQ 2020.Q4 Overview of Features and Components | null | https://docs.redhat.com/en/documentation/red_hat_amq/2020.q4/html/introducing_red_hat_amq_7/index |
2.2.3.2. Use a Password-like NIS Domain Name and Hostname | 2.2.3.2. Use a Password-like NIS Domain Name and Hostname Any machine within a NIS domain can use commands to extract information from the server without authentication, as long as the user knows the NIS server's DNS hostname and NIS domain name. For instance, if someone either connects a laptop computer into the network or breaks into the network from outside (and manages to spoof an internal IP address), the following command reveals the /etc/passwd map: ypcat -d <NIS_domain> -h <DNS_hostname> passwd If this attacker is a root user, they can obtain the /etc/shadow file by typing the following command: ypcat -d <NIS_domain> -h <DNS_hostname> shadow Note If Kerberos is used, the /etc/shadow file is not stored within a NIS map. To make access to NIS maps harder for an attacker, create a random string for the DNS hostname, such as o7hfawtgmhwg.domain.com . Similarly, create a different randomized NIS domain name. This makes it much more difficult for an attacker to access the NIS server. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/security_guide/sect-security_guide-securing_nis-use_a_password_like_nis_domain_name_and_hostname |
7.3. Configuring HugeTLB Huge Pages | 7.3. Configuring HugeTLB Huge Pages Starting with Red Hat Enterprise Linux 7.1, there are two ways of reserving huge pages: at boot time and at run time . Reserving at boot time increases the possibility of success because the memory has not yet been significantly fragmented. However, on NUMA machines, the number of pages is automatically split among NUMA nodes. The run-time method allows you to reserve huge pages per NUMA node. If the run-time reservation is done as early as possible in the boot process, the probability of memory fragmentation is lower. 7.3.1. Configuring Huge Pages at Boot Time To configure huge pages at boot time, add the following parameters to the kernel boot command line: hugepages Defines the number of persistent huge pages configured in the kernel at boot time. The default value is 0. It is only possible to allocate huge pages if there are sufficient physically contiguous free pages in the system. Pages reserved by this parameter cannot be used for other purposes. This value can be adjusted after boot by changing the value of the /proc/sys/vm/nr_hugepages file. In a NUMA system, huge pages assigned with this parameter are divided equally between nodes. You can assign huge pages to specific nodes at runtime by changing the value of the node's /sys/devices/system/node/ node_id /hugepages/hugepages-1048576kB/nr_hugepages file. For more information, read the relevant kernel documentation, which is installed in /usr/share/doc/kernel-doc-kernel_version/Documentation/vm/hugetlbpage.txt by default. hugepagesz Defines the size of persistent huge pages configured in the kernel at boot time. Valid values are 2 MB and 1 GB. The default value is 2 MB. default_hugepagesz Defines the default size of persistent huge pages configured in the kernel at boot time. Valid values are 2 MB and 1 GB. The default value is 2 MB. For details of how to add parameters to the kernel boot command line, see Chapter 3. Listing of kernel parameters and values in the Red Hat Enterprise Linux 7 Kernel Administration Guide. Procedure 7.1. Reserving 1 GB Pages During Early Boot The page size the HugeTLB subsystem supports depends on the architecture. On the AMD64 and Intel 64 architecture, 2 MB huge pages and 1 GB gigantic pages are supported. Create a HugeTLB pool for 1 GB pages by appending the following line to the kernel command-line options in the /etc/default/grub file as root: Regenerate the GRUB2 configuration using the edited default file. If your system uses BIOS firmware, execute the following command: On a system with UEFI firmware, execute the following command: Create a file named /usr/lib/systemd/system/hugetlb-gigantic-pages.service with the following content: Create a file named /usr/lib/systemd/hugetlb-reserve-pages.sh with the following content: On the last line, replace number_of_pages with the number of 1GB pages to reserve and node with the name of the node on which to reserve these pages. Example 7.1. Reserving Pages on node0 and node1 For example, to reserve two 1GB pages on node0 and one 1GB page on node1 , replace the last line with the following code: You can modify it to your needs or add more lines to reserve memory in other nodes. Make the script executable: Enable early boot reservation: Note You can try reserving more 1GB pages at runtime by writing to nr_hugepages at any time. However, to prevent failures due to memory fragmentation, reserve 1GB pages early during the boot process. 7.3.2. Configuring Huge Pages at Run Time Use the following parameters to influence huge page behavior at run time: /sys/devices/system/node/ node_id /hugepages/hugepages- size /nr_hugepages Defines the number of huge pages of the specified size assigned to the specified NUMA node. This is supported as of Red Hat Enterprise Linux 7.1. The following example moves adds twenty 2048 kB huge pages to node2 . /proc/sys/vm/nr_overcommit_hugepages Defines the maximum number of additional huge pages that can be created and used by the system through overcommitting memory. Writing any non-zero value into this file indicates that the system obtains that number of huge pages from the kernel's normal page pool if the persistent huge page pool is exhausted. As these surplus huge pages become unused, they are then freed and returned to the kernel's normal page pool. | [
"default_hugepagesz=1G hugepagesz=1G",
"grub2-mkconfig -o /boot/grub2/grub.cfg",
"grub2-mkconfig -o /boot/efi/EFI/redhat/grub.cfg",
"[Unit] Description=HugeTLB Gigantic Pages Reservation DefaultDependencies=no Before=dev-hugepages.mount ConditionPathExists=/sys/devices/system/node ConditionKernelCommandLine=hugepagesz=1G [Service] Type=oneshot RemainAfterExit=yes ExecStart=/usr/lib/systemd/hugetlb-reserve-pages.sh [Install] WantedBy=sysinit.target",
"#!/bin/sh nodes_path=/sys/devices/system/node/ if [ ! -d USDnodes_path ]; then echo \"ERROR: USDnodes_path does not exist\" exit 1 fi reserve_pages() { echo USD1 > USDnodes_path/USD2/hugepages/hugepages-1048576kB/nr_hugepages } reserve_pages number_of_pages node",
"reserve_pages 2 node0 reserve_pages 1 node1",
"chmod +x /usr/lib/systemd/hugetlb-reserve-pages.sh",
"systemctl enable hugetlb-gigantic-pages",
"numastat -cm | egrep 'Node|Huge' Node 0 Node 1 Node 2 Node 3 Total add AnonHugePages 0 2 0 8 10 HugePages_Total 0 0 0 0 0 HugePages_Free 0 0 0 0 0 HugePages_Surp 0 0 0 0 0 echo 20 > /sys/devices/system/node/node2/hugepages/hugepages-2048kB/nr_hugepages numastat -cm | egrep 'Node|Huge' Node 0 Node 1 Node 2 Node 3 Total AnonHugePages 0 2 0 8 10 HugePages_Total 0 0 40 0 40 HugePages_Free 0 0 40 0 40 HugePages_Surp 0 0 0 0 0"
] | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/performance_tuning_guide/sect-Red_Hat_Enterprise_Linux-Performance_Tuning_Guide-Memory-Configuring-huge-pages |
A.6. Virtualization Logs | A.6. Virtualization Logs The following methods can be used to access logged data about events on your hypervisor and your guests. This can be helpful when troubleshooting virtualization on your system. Each guest has a log, saved in the /var/log/libvirt/qemu/ directory. The logs are named GuestName .log and are periodically compressed when a size limit is reached. To view libvirt events in the systemd Journal , use the following command: # journalctl _SYSTEMD_UNIT=libvirtd.service The auvirt command displays audit results related to guests on your hypervisor. The displayed data can be narrowed down by selecting specific guests, time frame, and information format. For example, the following command provides a summary of events on the testguest virtual machine on the current day. You can also configure auvirt information to be automatically included in the systemd Journal. To do so, edit the /etc/libvirt/libvirtd.conf file and set the value of the audit_logging parameter to 1 . For more information, see the auvirt man page. If you encounter any errors with the Virtual Machine Manager, you can review the generated data in the virt-manager.log file in the USDHOME/.virt-manager/ directory. For audit logs of the hypervisor system, see the /var/log/audit/audit.log file. Depending on the guest operating system, various system log files may also be saved on the guest. For more information about logging in Red Hat Enterprise Linux, see the System Administrator's Guide . | [
"auvirt --start today --vm testguest --summary Range of time for report: Mon Sep 4 16:44 - Mon Sep 4 17:04 Number of guest starts: 2 Number of guest stops: 1 Number of resource assignments: 14 Number of related AVCs: 0 Number of related anomalies: 0 Number of host shutdowns: 0 Number of failed operations: 0"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/virtualization_deployment_and_administration_guide/sect-troubleshooting-virtualization_log_files |
Chapter 6. Creating Ansible playbooks with the all-in-one Red Hat OpenStack Platform environment | Chapter 6. Creating Ansible playbooks with the all-in-one Red Hat OpenStack Platform environment The deployment command applies Ansible playbooks to the environment automatically. However, you can modify the deployment command to generate Ansible playbooks without applying them to the deployment, and run the playbooks later. Include the --output-only option in the deploy command to generate the standalone-ansible-XXXXX directory. This directory contains a set of Ansible playbooks that you can run on other hosts. Procedure To generate the Ansible playbook directory, enter the deploy command with the option --output-only : To run the Ansible playbooks, enter the ansible-playbook command, and include the inventory.yaml file and the deploy_steps_playbook.yaml file: | [
"[stack@all-in-one]USD sudo openstack tripleo deploy --templates --local-ip=USDIP/USDNETMASK -e /usr/share/openstack-tripleo-heat-templates/environments/standalone/standalone-tripleo.yaml -r /usr/share/openstack-tripleo-heat-templates/roles/Standalone.yaml -e USDHOME/containers-prepare-parameters.yaml -e USDHOME/standalone_parameters.yaml --output-dir USDHOME --standalone --output-only",
"[stack@all-in-one]USD cd standalone-ansible-XXXXX [stack@all-in-one]USD sudo ansible-playbook -i inventory.yaml deploy_steps_playbook.yaml"
] | https://docs.redhat.com/en/documentation/red_hat_openstack_platform/16.2/html/standalone_deployment_guide/creating-ansible-playbooks |
Chapter 5. Using secure communications between two systems with OpenSSH | Chapter 5. Using secure communications between two systems with OpenSSH SSH (Secure Shell) is a protocol which provides secure communications between two systems using a client-server architecture and allows users to log in to server host systems remotely. Unlike other remote communication protocols, such as FTP or Telnet, SSH encrypts the login session, which prevents intruders from collecting unencrypted passwords from the connection. 5.1. Generating SSH key pairs You can log in to an OpenSSH server without entering a password by generating an SSH key pair on a local system and copying the generated public key to the OpenSSH server. Each user who wants to create a key must run this procedure. To preserve previously generated key pairs after you reinstall the system, back up the ~/.ssh/ directory before you create new keys. After reinstalling, copy it back to your home directory. You can do this for all users on your system, including root . Prerequisites You are logged in as a user who wants to connect to the OpenSSH server by using keys. The OpenSSH server is configured to allow key-based authentication. Procedure Generate an ECDSA key pair: You can also generate an RSA key pair by using the ssh-keygen command without any parameter or an Ed25519 key pair by entering the ssh-keygen -t ed25519 command. Note that the Ed25519 algorithm is not FIPS-140-compliant, and OpenSSH does not work with Ed25519 keys in FIPS mode. Copy the public key to a remote machine: Replace <username> @ <ssh-server-example.com> with your credentials. If you do not use the ssh-agent program in your session, the command copies the most recently modified ~/.ssh/id*.pub public key if it is not yet installed. To specify another public-key file or to prioritize keys in files over keys cached in memory by ssh-agent , use the ssh-copy-id command with the -i option. Verification Log in to the OpenSSH server by using the key file: Additional resources ssh-keygen(1) and ssh-copy-id(1) man pages on your system 5.2. Setting key-based authentication as the only method on an OpenSSH server To improve system security, enforce key-based authentication by disabling password authentication on your OpenSSH server. Prerequisites The openssh-server package is installed. The sshd daemon is running on the server. You can already connect to the OpenSSH server by using a key. See the Generating SSH key pairs section for details. Procedure Open the /etc/ssh/sshd_config configuration in a text editor, for example: Change the PasswordAuthentication option to no : On a system other than a new default installation, check that the PubkeyAuthentication parameter is either not set or set to yes . Set the KbdInteractiveAuthentication directive to no . Note that the corresponding entry is commented out in the configuration file and the default value is yes . To use key-based authentication with NFS-mounted home directories, enable the use_nfs_home_dirs SELinux boolean: If you are connected remotely, not using console or out-of-band access, test the key-based login process before disabling password authentication. Reload the sshd daemon to apply the changes: Additional resources sshd_config(5) and setsebool(8) man pages on your system 5.3. Caching your SSH credentials by using ssh-agent To avoid entering a passphrase each time you initiate an SSH connection, you can use the ssh-agent utility to cache the private SSH key for a login session. If the agent is running and your keys are unlocked, you can log in to SSH servers by using these keys but without having to enter the key's password again. The private key and the passphrase remain secure. Prerequisites You have a remote host with the SSH daemon running and reachable through the network. You know the IP address or hostname and credentials to log in to the remote host. You have generated an SSH key pair with a passphrase and transferred the public key to the remote machine. See the Generating SSH key pairs section for details. Procedure Add the command for automatically starting ssh-agent in your session to the ~/.bashrc file: Open ~/.bashrc in a text editor of your choice, for example: Add the following line to the file: Save the changes, and quit the editor. Add the following line to the ~/.ssh/config file: With this option and ssh-agent started in your session, the agent prompts for a password only for the first time when you connect to a host. Verification Log in to a host which uses the corresponding public key of the cached private key in the agent, for example: Note that you did not have to enter the passphrase. 5.4. Authenticating by SSH keys stored on a smart card You can create and store ECDSA and RSA keys on a smart card and authenticate by the smart card on an OpenSSH client. Smart-card authentication replaces the default password authentication. Prerequisites On the client side, the opensc package is installed and the pcscd service is running. Procedure List all keys provided by the OpenSC PKCS #11 module including their PKCS #11 URIs and save the output to the keys.pub file: Transfer the public key to the remote server. Use the ssh-copy-id command with the keys.pub file created in the step: Connect to <ssh-server-example.com> by using the ECDSA key. You can use just a subset of the URI, which uniquely references your key, for example: Because OpenSSH uses the p11-kit-proxy wrapper and the OpenSC PKCS #11 module is registered to the p11-kit tool, you can simplify the command: If you skip the id= part of a PKCS #11 URI, OpenSSH loads all keys that are available in the proxy module. This can reduce the amount of typing required: Optional: You can use the same URI string in the ~/.ssh/config file to make the configuration permanent: The ssh client utility now automatically uses this URI and the key from the smart card. Additional resources p11-kit(8) , opensc.conf(5) , pcscd(8) , ssh(1) , and ssh-keygen(1) man pages on your system 5.5. Additional resources sshd(8) , ssh(1) , scp(1) , sftp(1) , ssh-keygen(1) , ssh-copy-id(1) , ssh_config(5) , sshd_config(5) , update-crypto-policies(8) , and crypto-policies(7) man pages on your system Configuring SELinux for applications and services with non-standard configurations Controlling network traffic using firewalld | [
"ssh-keygen -t ecdsa Generating public/private ecdsa key pair. Enter file in which to save the key (/home/ <username> /.ssh/id_ecdsa): Enter passphrase (empty for no passphrase): <password> Enter same passphrase again: <password> Your identification has been saved in /home/ <username> /.ssh/id_ecdsa. Your public key has been saved in /home/ <username> /.ssh/id_ecdsa.pub. The key fingerprint is: SHA256:Q/x+qms4j7PCQ0qFd09iZEFHA+SqwBKRNaU72oZfaCI <username> @ <localhost.example.com> The key's randomart image is: +---[ECDSA 256]---+ |.oo..o=++ | |.. o .oo . | |. .. o. o | |....o.+... | |o.oo.o +S . | |.=.+. .o | |E.*+. . . . | |.=..+ +.. o | | . oo*+o. | +----[SHA256]-----+",
"ssh-copy-id <username> @ <ssh-server-example.com> /usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed <username> @ <ssh-server-example.com> 's password: ... Number of key(s) added: 1 Now try logging into the machine, with: \"ssh ' <username> @ <ssh-server-example.com> '\" and check to make sure that only the key(s) you wanted were added.",
"ssh -o PreferredAuthentications=publickey <username> @ <ssh-server-example.com>",
"vi /etc/ssh/sshd_config",
"PasswordAuthentication no",
"setsebool -P use_nfs_home_dirs 1",
"systemctl reload sshd",
"vi ~/.bashrc",
"eval USD(ssh-agent)",
"AddKeysToAgent yes",
"ssh <example.user> @ <[email protected]>",
"ssh-keygen -D pkcs11: > keys.pub",
"ssh-copy-id -f -i keys.pub <[email protected]>",
"ssh -i \"pkcs11:id=%01?module-path=/usr/lib64/pkcs11/opensc-pkcs11.so\" <ssh-server-example.com> Enter PIN for 'SSH key': [ssh-server-example.com] USD",
"ssh -i \"pkcs11:id=%01\" <ssh-server-example.com> Enter PIN for 'SSH key': [ssh-server-example.com] USD",
"ssh -i pkcs11: <ssh-server-example.com> Enter PIN for 'SSH key': [ssh-server-example.com] USD",
"cat ~/.ssh/config IdentityFile \"pkcs11:id=%01?module-path=/usr/lib64/pkcs11/opensc-pkcs11.so\" ssh <ssh-server-example.com> Enter PIN for 'SSH key': [ssh-server-example.com] USD"
] | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/9/html/configuring_basic_system_settings/assembly_using-secure-communications-between-two-systems-with-openssh_configuring-basic-system-settings |
15.4. Verifying Media | 15.4. Verifying Media The DVD offers an option to verify the integrity of the media. Recording errors sometimes occur while producing DVD media. An error in the data for package chosen in the installation program can cause the installation to abort. To minimize the chances of data errors affecting the installation, verify the media before installing. If the verification succeeds, the installation process proceeds normally. If the process fails, create a new DVD using the ISO image you downloaded earlier. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/installation_guide/ch15s04 |
Chapter 15. Network flows format reference | Chapter 15. Network flows format reference These are the specifications for network flows format, used both internally and when exporting flows to Kafka. 15.1. Network Flows format reference This is the specification of the network flows format. That format is used when a Kafka exporter is configured, for Prometheus metrics labels as well as internally for the Loki store. The "Filter ID" column shows which related name to use when defining Quick Filters (see spec.consolePlugin.quickFilters in the FlowCollector specification). The "Loki label" column is useful when querying Loki directly: label fields need to be selected using stream selectors . The "Cardinality" column gives information about the implied metric cardinality if this field was to be used as a Prometheus label with the FlowMetrics API. Refer to the FlowMetrics documentation for more information on using this API. Name Type Description Filter ID Loki label Cardinality OpenTelemetry Bytes number Number of bytes n/a no avoid bytes DnsErrno number Error number returned from DNS tracker ebpf hook function dns_errno no fine dns.errno DnsFlags number DNS flags for DNS record n/a no fine dns.flags DnsFlagsResponseCode string Parsed DNS header RCODEs name dns_flag_response_code no fine dns.responsecode DnsId number DNS record id dns_id no avoid dns.id DnsLatencyMs number Time between a DNS request and response, in milliseconds dns_latency no avoid dns.latency Dscp number Differentiated Services Code Point (DSCP) value dscp no fine dscp DstAddr string Destination IP address (ipv4 or ipv6) dst_address no avoid destination.address DstK8S_HostIP string Destination node IP dst_host_address no fine destination.k8s.host.address DstK8S_HostName string Destination node name dst_host_name no fine destination.k8s.host.name DstK8S_Name string Name of the destination Kubernetes object, such as Pod name, Service name or Node name. dst_name no careful destination.k8s.name DstK8S_Namespace string Destination namespace dst_namespace yes fine destination.k8s.namespace.name DstK8S_NetworkName string Destination network name dst_network no fine n/a DstK8S_OwnerName string Name of the destination owner, such as Deployment name, StatefulSet name, etc. dst_owner_name yes fine destination.k8s.owner.name DstK8S_OwnerType string Kind of the destination owner, such as Deployment, StatefulSet, etc. dst_kind no fine destination.k8s.owner.kind DstK8S_Type string Kind of the destination Kubernetes object, such as Pod, Service or Node. dst_kind yes fine destination.k8s.kind DstK8S_Zone string Destination availability zone dst_zone yes fine destination.zone DstMac string Destination MAC address dst_mac no avoid destination.mac DstPort number Destination port dst_port no careful destination.port DstSubnetLabel string Destination subnet label dst_subnet_label no fine n/a Duplicate boolean Indicates if this flow was also captured from another interface on the same host n/a no fine n/a Flags string[] List of TCP flags comprised in the flow, according to RFC-9293, with additional custom flags to represent the following per-packet combinations: - SYN_ACK - FIN_ACK - RST_ACK tcp_flags no careful tcp.flags FlowDirection number Flow interpreted direction from the node observation point. Can be one of: - 0: Ingress (incoming traffic, from the node observation point) - 1: Egress (outgoing traffic, from the node observation point) - 2: Inner (with the same source and destination node) node_direction yes fine host.direction IcmpCode number ICMP code icmp_code no fine icmp.code IcmpType number ICMP type icmp_type no fine icmp.type IfDirections number[] Flow directions from the network interface observation point. Can be one of: - 0: Ingress (interface incoming traffic) - 1: Egress (interface outgoing traffic) ifdirections no fine interface.directions Interfaces string[] Network interfaces interfaces no careful interface.names K8S_ClusterName string Cluster name or identifier cluster_name yes fine k8s.cluster.name K8S_FlowLayer string Flow layer: 'app' or 'infra' flow_layer yes fine k8s.layer NetworkEvents object[] Network events, such as network policy actions, composed of nested fields: - Feature (such as "acl" for network policies) - Type (such as an "AdminNetworkPolicy") - Namespace (namespace where the event applies, if any) - Name (name of the resource that triggered the event) - Action (such as "allow" or "drop") - Direction (Ingress or Egress) network_events no avoid n/a Packets number Number of packets pkt_drop_cause no avoid packets PktDropBytes number Number of bytes dropped by the kernel n/a no avoid drops.bytes PktDropLatestDropCause string Latest drop cause pkt_drop_cause no fine drops.latestcause PktDropLatestFlags number TCP flags on last dropped packet n/a no fine drops.latestflags PktDropLatestState string TCP state on last dropped packet pkt_drop_state no fine drops.lateststate PktDropPackets number Number of packets dropped by the kernel n/a no avoid drops.packets Proto number L4 protocol protocol no fine protocol Sampling number Sampling rate used for this flow n/a no fine n/a SrcAddr string Source IP address (ipv4 or ipv6) src_address no avoid source.address SrcK8S_HostIP string Source node IP src_host_address no fine source.k8s.host.address SrcK8S_HostName string Source node name src_host_name no fine source.k8s.host.name SrcK8S_Name string Name of the source Kubernetes object, such as Pod name, Service name or Node name. src_name no careful source.k8s.name SrcK8S_Namespace string Source namespace src_namespace yes fine source.k8s.namespace.name SrcK8S_NetworkName string Source network name src_network no fine n/a SrcK8S_OwnerName string Name of the source owner, such as Deployment name, StatefulSet name, etc. src_owner_name yes fine source.k8s.owner.name SrcK8S_OwnerType string Kind of the source owner, such as Deployment, StatefulSet, etc. src_kind no fine source.k8s.owner.kind SrcK8S_Type string Kind of the source Kubernetes object, such as Pod, Service or Node. src_kind yes fine source.k8s.kind SrcK8S_Zone string Source availability zone src_zone yes fine source.zone SrcMac string Source MAC address src_mac no avoid source.mac SrcPort number Source port src_port no careful source.port SrcSubnetLabel string Source subnet label src_subnet_label no fine n/a TimeFlowEndMs number End timestamp of this flow, in milliseconds n/a no avoid timeflowend TimeFlowRttNs number TCP Smoothed Round Trip Time (SRTT), in nanoseconds time_flow_rtt no avoid tcp.rtt TimeFlowStartMs number Start timestamp of this flow, in milliseconds n/a no avoid timeflowstart TimeReceived number Timestamp when this flow was received and processed by the flow collector, in seconds n/a no avoid timereceived Udns string[] List of User Defined Networks udns no careful n/a XlatDstAddr string Packet translation destination address xlat_dst_address no avoid n/a XlatDstPort number Packet translation destination port xlat_dst_port no careful n/a XlatSrcAddr string Packet translation source address xlat_src_address no avoid n/a XlatSrcPort number Packet translation source port xlat_src_port no careful n/a ZoneId number Packet translation zone id xlat_zone_id no avoid n/a _HashId string In conversation tracking, the conversation identifier id no avoid n/a _RecordType string Type of record: flowLog for regular flow logs, or newConnection , heartbeat , endConnection for conversation tracking type yes fine n/a | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.12/html/network_observability/json-flows-format-reference |
Chapter 11. Pacemaker Rules | Chapter 11. Pacemaker Rules Rules can be used to make your configuration more dynamic. One use of rules might be to assign machines to different processing groups (using a node attribute) based on time and to then use that attribute when creating location constraints. Each rule can contain a number of expressions, date-expressions and even other rules. The results of the expressions are combined based on the rule's boolean-op field to determine if the rule ultimately evaluates to true or false . What happens depends on the context in which the rule is being used. Table 11.1. Properties of a Rule Field Description role Limits the rule to apply only when the resource is in that role. Allowed values: Started , Slave, and Master . NOTE: A rule with role="Master" cannot determine the initial location of a clone instance. It will only affect which of the active instances will be promoted. score The score to apply if the rule evaluates to true . Limited to use in rules that are part of location constraints. score-attribute The node attribute to look up and use as a score if the rule evaluates to true . Limited to use in rules that are part of location constraints. boolean-op How to combine the result of multiple expression objects. Allowed values: and and or . The default value is and . 11.1. Node Attribute Expressions Node attribute expressions are used to control a resource based on the attributes defined by a node or nodes. Table 11.2. Properties of an Expression Field Description attribute The node attribute to test type Determines how the value(s) should be tested. Allowed values: string , integer , version . The default value is string operation The comparison to perform. Allowed values: * lt - True if the node attribute's value is less than value * gt - True if the node attribute's value is greater than value * lte - True if the node attribute's value is less than or equal to value * gte - True if the node attribute's value is greater than or equal to value * eq - True if the node attribute's value is equal to value * ne - True if the node attribute's value is not equal to value * defined - True if the node has the named attribute * not_defined - True if the node does not have the named attribute value User supplied value for comparison (required) In addition to any attributes added by the administrator, the cluster defines special, built-in node attributes for each node that can also be used, as described in Table 11.3, "Built-in Node Attributes" . Table 11.3. Built-in Node Attributes Name Description #uname Node name #id Node ID #kind Node type. Possible values are cluster , remote , and container . The value of kind is remote . for Pacemaker Remote nodes created with the ocf:pacemaker:remote resource, and container for Pacemaker Remote guest nodes and bundle nodes. #is_dc true if this node is a Designated Controller (DC), false otherwise #cluster_name The value of the cluster-name cluster property, if set #site_name The value of the site-name node attribute, if set, otherwise identical to #cluster-name #role The role the relevant multistate resource has on this node. Valid only within a rule for a location constraint for a multistate resource. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/7/html/high_availability_add-on_reference/ch-pacemakerrules-HAAR |
Making open source more inclusive | Making open source more inclusive Red Hat is committed to replacing problematic language in our code, documentation, and web properties. We are beginning with these four terms: master, slave, blacklist, and whitelist. Because of the enormity of this endeavor, these changes will be implemented gradually over several upcoming releases. For more details, see our CTO Chris Wright's message . | null | https://docs.redhat.com/en/documentation/red_hat_openstack_platform/17.0/html/transitioning_to_containerized_services/making-open-source-more-inclusive |
Pipelines CLI (tkn) reference | Pipelines CLI (tkn) reference Red Hat OpenShift Pipelines 1.15 The tkn CLI reference for OpenShift Pipelines Red Hat OpenShift Documentation Team | [
"tar xvzf <file>",
"echo USDPATH",
"subscription-manager register",
"subscription-manager refresh",
"subscription-manager list --available --matches '*pipelines*'",
"subscription-manager attach --pool=<pool_id>",
"subscription-manager repos --enable=\"pipelines-1.15-for-rhel-8-x86_64-rpms\"",
"subscription-manager repos --enable=\"pipelines-1.15-for-rhel-8-s390x-rpms\"",
"subscription-manager repos --enable=\"pipelines-1.15-for-rhel-8-ppc64le-rpms\"",
"subscription-manager repos --enable=\"pipelines-1.15-for-rhel-8-aarch64-rpms\"",
"yum install openshift-pipelines-client",
"tkn version",
"C:\\> path",
"echo USDPATH",
"tkn completion bash > tkn_bash_completion",
"sudo cp tkn_bash_completion /etc/bash_completion.d/",
"tkn",
"tkn completion bash",
"tkn version",
"tkn pipeline --help",
"tkn pipeline delete <pipeline_name> -n <namespace_name>",
"tkn pipeline describe <pipeline_name>",
"tkn pipeline list",
"tkn pipeline logs -f <pipeline_name>",
"tkn pipeline start <pipeline_name>",
"tkn pipelinerun -h",
"tkn pipelinerun cancel <pipeline_run_name> -n <namespace_name>",
"tkn pipelinerun delete <pipeline_run_name_1> <pipeline_run_name_2> -n <namespace_name>",
"tkn pipelinerun delete -n <namespace_name> --keep 5 1",
"tkn pipelinerun delete --all",
"tkn pipelinerun describe <pipeline_run_name> -n <namespace_name>",
"tkn pipelinerun list -n <namespace_name>",
"tkn pipelinerun logs <pipeline_run_name> -a -n <namespace_name>",
"tkn task -h",
"tkn task delete <task_name_1> <task_name_2> -n <namespace_name>",
"tkn task describe <task_name> -n <namespace_name>",
"tkn task list -n <namespace_name>",
"tkn task start <task_name> -s <service_account_name> -n <namespace_name>",
"tkn taskrun -h",
"tkn taskrun cancel <task_run_name> -n <namespace_name>",
"tkn taskrun delete <task_run_name_1> <task_run_name_2> -n <namespace_name>",
"tkn taskrun delete -n <namespace_name> --keep 5 1",
"tkn taskrun describe <task_run_name> -n <namespace_name>",
"tkn taskrun list -n <namespace_name>",
"tkn taskrun logs -f <task_run_name> -n <namespace_name>",
"tkn resource -h",
"tkn resource create -n myspace",
"tkn resource delete myresource -n myspace",
"tkn resource describe myresource -n myspace",
"tkn resource list -n myspace",
"tkn clustertask --help",
"tkn clustertask delete mytask1 mytask2",
"tkn clustertask describe mytask1",
"tkn clustertask list",
"tkn clustertask start mytask",
"tkn eventlistener -h",
"tkn eventlistener delete mylistener1 mylistener2 -n myspace",
"tkn eventlistener describe mylistener -n myspace",
"tkn eventlistener list -n myspace",
"tkn eventlistener logs mylistener -n myspace",
"tkn triggerbinding -h",
"tkn triggerbinding delete mybinding1 mybinding2 -n myspace",
"tkn triggerbinding describe mybinding -n myspace",
"tkn triggerbinding list -n myspace",
"tkn triggertemplate -h",
"tkn triggertemplate delete mytemplate1 mytemplate2 -n `myspace`",
"tkn triggertemplate describe mytemplate -n `myspace`",
"tkn triggertemplate list -n myspace",
"tkn clustertriggerbinding -h",
"tkn clustertriggerbinding delete myclusterbinding1 myclusterbinding2",
"tkn clustertriggerbinding describe myclusterbinding",
"tkn clustertriggerbinding list",
"tkn hub -h",
"tkn hub --api-server https://api.hub.tekton.dev",
"tkn hub downgrade task mytask --to version -n mynamespace",
"tkn hub get [pipeline | task] myresource --from tekton --version version",
"tkn hub info task mytask --from tekton --version version",
"tkn hub install task mytask --from tekton --version version -n mynamespace",
"tkn hub reinstall task mytask --from tekton --version version -n mynamespace",
"tkn hub search --tags cli",
"tkn hub upgrade task mytask --to version -n mynamespace"
] | https://docs.redhat.com/en/documentation/red_hat_openshift_pipelines/1.15/html-single/pipelines_cli_tkn_reference/index |
Chapter 2. What Changed in this Release? | Chapter 2. What Changed in this Release? 2.1. What's New in this Release? This section describes the key features and enhancements in the Red Hat Gluster Storage 3.5 release. Red Hat Gluster Storage has been updated to upstream glusterfs version 6. Samba has been updated to upstream version 4.9.8. NFS-Ganesha is updated to upstream version 2.7.3 NFS version 4.1 is now supported. Directory contents are now read in configurable chunks so that very large directory listings can start to be served faster, instead of needing to wait for the whole directory to be read before serving to NFS-Ganesha clients. Red Hat Gluster Storage now provides the option of its own ctime attribute as an extended attribute across replicated sub-volumes, to avoid the consistency issues between replicated and distributed bricks that occurred when using file system based ctime, such as after self-healing occurred. Bricks in different subvolumes can now be different sizes, and Gluster's algorithms account for this when determining placement ranges for files. Available space algorithms are updated to work better for heterogeneous brick sizes. Same size bricks are still needed for bricks belonging to the same replica set or disperse set. The default maximum port number for bricks is now 60999 instead of 65535. Administrators can now prevent nodes with revoked certificates from accessing the cluster by adding a banned node's certificate to a Certificate Revocation List file, and specifying the file's path in the new ssl.crl-path volume option. Gluster-ansible can now configure IPv6 networking for Red Hat Gluster Storage. The storage.fips-mode-rchecksum volume option is now enabled by default for new volumes on clusters with an op-version of 70000 or higher. Configuring geo-replication was a lengthy and error prone process. Support for geo-replication is now provided by gdeploy, automating configuration and reducing error in this process. A new API, glfs_set_statedump_path, lets users configure the directory to store statedump output. For example, the following call sets the /tmp directory as the statedump path: New configuration options have been added to enable overriding of umask. The storage.create-directory-mask and storage.create-mask options restrict file mode to the given mask for directories and other files respectively. The storage.force-directory-mode and storage.force-create-mode options enforce the presence of the given mode bits for directories and other files respectively. Note that these mode constraints are maintained as long as the given option values are in effect and do not only apply to file creation. NFS-Ganesha now receives the upcall notifications needed to maintain active-active high availability configurations via asynchronous callbacks, which avoids the need for continuous polling and reduces CPU and memory usage. A new dbus command is available for obtaining access control lists and other export information from the NFS-Ganesha server. The storage.reserve option can now reserve available space in size in addition to reserving in percentage. Asynchronous I/O operations were impeded by a bottleneck in the workflow at the point of notification of successful completion. The bottleneck has been removed and asynchronous I/O operations now perform better. Performance improvements compared to Red Hat Gluster Storage 3.4 NFS-Ganesha v4.1 mounts 6-10 times improvement of ls -l/stat/chmod on small files on replica 3 and arbiter volumes. Improvements for metadata-heavy operations that improve small file performance for dispersed volumes: chmod - 106% creates - 27% stat - 808% reads - 130% appends - 52% rename -36% delete-renamed - 70% mkdir - 52% rmdir - 58% Large file sequential write performance improvement of 47% for dispersed volumes Large file sequential read/write improvements (20 and 60% respectively) for replica 3 volumes Gluster-FUSE mounts Large file sequential read improvements (20%) for arbiter volumes Small file mkdir/rmdir/rename improvements (24/25/10 % respectively) for dispersed volumes | [
"glfs_set_statedump_path(fs2, \"/tmp\");"
] | https://docs.redhat.com/en/documentation/red_hat_gluster_storage/3.5/html/3.5_release_notes/chap-Documentation-3.5_Release_Notes-Whats_New |
Appendix A. Using your subscription | Appendix A. Using your subscription Streams for Apache Kafka is provided through a software subscription. To manage your subscriptions, access your account at the Red Hat Customer Portal. Accessing Your Account Go to access.redhat.com . If you do not already have an account, create one. Log in to your account. Activating a Subscription Go to access.redhat.com . Navigate to My Subscriptions . Navigate to Activate a subscription and enter your 16-digit activation number. Downloading Zip and Tar Files To access zip or tar files, use the customer portal to find the relevant files for download. If you are using RPM packages, this step is not required. Open a browser and log in to the Red Hat Customer Portal Product Downloads page at access.redhat.com/downloads . Locate the Streams for Apache Kafka for Apache Kafka entries in the INTEGRATION AND AUTOMATION category. Select the desired Streams for Apache Kafka product. The Software Downloads page opens. Click the Download link for your component. Installing packages with DNF To install a package and all the package dependencies, use: dnf install <package_name> To install a previously-downloaded package from a local directory, use: dnf install <path_to_download_package> Revised on 2025-03-12 09:30:30 UTC | [
"dnf install <package_name>",
"dnf install <path_to_download_package>"
] | https://docs.redhat.com/en/documentation/red_hat_streams_for_apache_kafka/2.9/html/streams_for_apache_kafka_on_openshift_overview/using_your_subscription |
Making open source more inclusive | Making open source more inclusive Red Hat is committed to replacing problematic language in our code, documentation, and web properties. We are beginning with these four terms: master, slave, blacklist, and whitelist. Because of the enormity of this endeavor, these changes will be implemented gradually over several upcoming releases. For more details, see our CTO Chris Wright's message . | null | https://docs.redhat.com/en/documentation/red_hat_openshift_data_foundation/4.17/html/deploying_openshift_data_foundation_using_amazon_web_services/making-open-source-more-inclusive |
4.52. dump | 4.52. dump 4.52.1. RHBA-2011:1095 - dump bug fix update Updated dump packages that fix three bugs are now available for Red Hat Enterprise Linux 6. The dump package contains both "dump" and "restore" commands. The "dump" command examines files in a file system, determines which ones need to be backed up, and copies those files to a specified disk, tape, or other storage medium. The "restore" command performs the inverse function of "dump"; it can restore a full backup of a file system. Subsequent incremental backups can then be layered on top of the full backup. Single files and directory subtrees may also be restored from full or partial backups. Bug Fixes BZ# 702593 Prior to this update, the dump utility passed wrong arguments to the "clone(2)" system call. As a result, dump became unresponsive when executed on the S/390 or IBM System z architecture. This bug has been fixed in this update so that dump now passes correct arguments and no longer hangs. BZ# 691434 Under certain circumstances, the dump utility could have failed to detect holes in files correctly. When a user attempted to restore an erroneous backup using the "restore" command, an error message "Missing blocks at end of [path], assuming hole" could have been displayed. In such case, the backup could have not been restored properly. This bug has been fixed in this update so that dump now handles holes in files as expected. BZ# 658890 Prior to this update, the "dump -w" command did not recognize ext4 file systems as supported. With this update, the bug has been fixed so that "dump -w" now recognizes the ext4 file systems as supported. All users of dump should upgrade to these updated packages, which fix these bugs. | null | https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/6/html/6.2_technical_notes/dump |
Chapter 1. Red Hat OpenShift support for Windows Containers overview | Chapter 1. Red Hat OpenShift support for Windows Containers overview Red Hat OpenShift support for Windows Containers is a feature providing the ability to run Windows compute nodes in an OpenShift Container Platform cluster. This is possible by using the Red Hat Windows Machine Config Operator (WMCO) to install and manage Windows nodes. With a Red Hat subscription, you can get support for running Windows workloads in OpenShift Container Platform. For more information, see the release notes . For workloads including both Linux and Windows, OpenShift Container Platform allows you to deploy Windows workloads running on Windows Server containers while also providing traditional Linux workloads hosted on Red Hat Enterprise Linux CoreOS (RHCOS) or Red Hat Enterprise Linux (RHEL). For more information, see getting started with Windows container workloads . You need the WMCO to run Windows workloads in your cluster. The WMCO orchestrates the process of deploying and managing Windows workloads on a cluster. For more information, see how to enable Windows container workloads . You can create a Windows MachineSet object to create infrastructure Windows machine sets and related machines so that you can move supported Windows workloads to the new Windows machines. You can create a Windows MachineSet object on multiple platforms. You can schedule Windows workloads to Windows compute nodes. You can perform Windows Machine Config Operator upgrades to ensure that your Windows nodes have the latest updates. You can remove a Windows node by deleting a specific machine. You can use Bring-Your-Own-Host (BYOH) Windows instances to repurpose Windows Server VMs and bring them to OpenShift Container Platform. BYOH Windows instances benefit users who are looking to mitigate major disruptions in the event that a Windows server goes offline. You can use BYOH Windows instances as nodes on OpenShift Container Platform 4.8 and later versions. You can disable Windows container workloads by performing the following: Uninstalling the Windows Machine Config Operator Deleting the Windows Machine Config Operator namespace | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.9/html/windows_container_support_for_openshift/windows-container-overview |
15.4. Shared Storage Example: NFS for a Simple Migration | 15.4. Shared Storage Example: NFS for a Simple Migration Important This example uses NFS to share guest virtual machine images with other KVM host physical machines. Although not practical for large installations, it is presented to demonstrate migration techniques only. Do not use this example for migrating or running more than a few guest virtual machines. In addition, it is required that the synch parameter is enabled. This is required for proper export of the NFS storage. iSCSI storage is a better choice for large deployments. For configuration details, see Section 13.2.3.5, "iSCSI-based storage pools" . For detailed information on configuring NFS, opening IP tables, and configuring the firewall, see Red Hat Linux Storage Administration Guide . Make sure that NFS file locking is not used as it is not supported in KVM. Export your libvirt image directory Migration requires storage to reside on a system that is separate to the migration target systems. On this separate system, export the storage by adding the default image directory to the /etc/exports file: Change the hostname parameter as required for your environment. Start NFS Install the NFS packages if they are not yet installed: Make sure that the ports for NFS in iptables (2049, for example) are opened and add NFS to the /etc/hosts.allow file. Start the NFS service: Mount the shared storage on the source and the destination On the migration source and the destination systems, mount the /var/lib/libvirt/images directory: Warning Whichever directory is chosen for the source host physical machine must be exactly the same as that on the destination host physical machine. This applies to all types of shared storage. The directory must be the same or the migration with virt-manager will fail. | [
"/var/lib/libvirt/images *.example.com (rw,no_root_squash,sync)",
"yum install nfs-utils",
"systemctl start nfs-server",
"mount storage_host :/var/lib/libvirt/images /var/lib/libvirt/images"
] | https://docs.redhat.com/en/documentation/Red_Hat_Enterprise_Linux/7/html/virtualization_deployment_and_administration_guide/sect-KVM_live_migration-Shared_storage_example_NFS_for_a_simple_migration |
Node APIs | Node APIs OpenShift Container Platform 4.17 Reference guide for node APIs Red Hat OpenShift Documentation Team | null | https://docs.redhat.com/en/documentation/openshift_container_platform/4.17/html/node_apis/index |
Chapter 2. Installing the Self-hosted Engine Deployment Host | Chapter 2. Installing the Self-hosted Engine Deployment Host A self-hosted engine can be deployed from a Red Hat Virtualization Host or a Red Hat Enterprise Linux host . Important If you plan to use bonded interfaces for high availability or VLANs to separate different types of traffic (for example, for storage or management connections), you should configure them on the host before beginning the self-hosted engine deployment. See Networking Recommendations in the Planning and Prerequisites Guide . 2.1. Installing Red Hat Virtualization Hosts Red Hat Virtualization Host (RHVH) is a minimal operating system based on Red Hat Enterprise Linux that is designed to provide a simple method for setting up a physical machine to act as a hypervisor in a Red Hat Virtualization environment. The minimal operating system contains only the packages required for the machine to act as a hypervisor, and features a Cockpit web interface for monitoring the host and performing administrative tasks. See Running Cockpit for the minimum browser requirements. RHVH supports NIST 800-53 partitioning requirements to improve security. RHVH uses a NIST 800-53 partition layout by default. The host must meet the minimum host requirements . Warning When installing or reinstalling the host's operating system, Red Hat strongly recommends that you first detach any existing non-OS storage that is attached to the host to avoid accidental initialization of these disks, and with that, potential data loss. Procedure Go to the Get Started with Red Hat Virtualization on the Red Hat Customer Portal and log in. Click Download Latest to access the product download page. Choose the appropriate Hypervisor Image for RHV from the list and click Download Now . Start the machine on which you are installing RHVH, booting from the prepared installation media. From the boot menu, select Install RHVH 4.4 and press Enter . Note You can also press the Tab key to edit the kernel parameters. Kernel parameters must be separated by a space, and you can boot the system using the specified kernel parameters by pressing the Enter key. Press the Esc key to clear any changes to the kernel parameters and return to the boot menu. Select a language, and click Continue . Select a keyboard layout from the Keyboard Layout screen and click Done . Select the device on which to install RHVH from the Installation Destination screen. Optionally, enable encryption. Click Done . Important Use the Automatically configure partitioning option. Select a time zone from the Time & Date screen and click Done . Select a network from the Network & Host Name screen and click Configure... to configure the connection details. Note To use the connection every time the system boots, select the Connect automatically with priority check box. For more information, see Configuring network and host name options in the Red Hat Enterprise Linux 8 Installation Guide . Enter a host name in the Host Name field, and click Done . Optional: Configure Security Policy and Kdump . See Customizing your RHEL installation using the GUI in Performing a standard RHEL installation for Red Hat Enterprise Linux 8 for more information on each of the sections in the Installation Summary screen. Click Begin Installation . Set a root password and, optionally, create an additional user while RHVH installs. Warning Do not create untrusted users on RHVH, as this can lead to exploitation of local security vulnerabilities. Click Reboot to complete the installation. Note When RHVH restarts, nodectl check performs a health check on the host and displays the result when you log in on the command line. The message node status: OK or node status: DEGRADED indicates the health status. Run nodectl check to get more information. Note If necessary, you can prevent kernel modules from loading automatically . 2.1.1. Enabling the Red Hat Virtualization Host Repository Register the system to receive updates. Red Hat Virtualization Host only requires one repository. This section provides instructions for registering RHVH with the Content Delivery Network , or with Red Hat Satellite 6 . Registering RHVH with the Content Delivery Network Enable the Red Hat Virtualization Host 8 repository to allow later updates to the Red Hat Virtualization Host: # subscription-manager repos --enable=rhvh-4-for-rhel-8-x86_64-rpms Registering RHVH with Red Hat Satellite 6 Log in to the Cockpit web interface at https:// HostFQDNorIP :9090 . Click Terminal . Register RHVH with Red Hat Satellite 6: Note You can also configure virtual machine subscriptions in Red Hat Satellite using virt-who. See Using virt-who to manage host-based subscriptions . 2.2. Installing Red Hat Enterprise Linux hosts A Red Hat Enterprise Linux host is based on a standard basic installation of Red Hat Enterprise Linux 8 on a physical server, with the Red Hat Enterprise Linux Server and Red Hat Virtualization subscriptions attached. For detailed installation instructions, see the Performing a standard RHEL installation . The host must meet the minimum host requirements . Warning When installing or reinstalling the host's operating system, Red Hat strongly recommends that you first detach any existing non-OS storage that is attached to the host to avoid accidental initialization of these disks, and with that, potential data loss. Important Virtualization must be enabled in your host's BIOS settings. For information on changing your host's BIOS settings, refer to your host's hardware documentation. Important Do not install third-party watchdogs on Red Hat Enterprise Linux hosts. They can interfere with the watchdog daemon provided by VDSM. 2.2.1. Enabling the Red Hat Enterprise Linux host Repositories To use a Red Hat Enterprise Linux machine as a host, you must register the system with the Content Delivery Network, attach the Red Hat Enterprise Linux Server and Red Hat Virtualization subscriptions, and enable the host repositories. Procedure Register your system with the Content Delivery Network, entering your Customer Portal user name and password when prompted: # subscription-manager register Find the Red Hat Enterprise Linux Server and Red Hat Virtualization subscription pools and record the pool IDs: # subscription-manager list --available Use the pool IDs to attach the subscriptions to the system: # subscription-manager attach --pool= poolid Note To view currently attached subscriptions: # subscription-manager list --consumed To list all enabled repositories: # dnf repolist Configure the repositories: # subscription-manager repos \ --disable='*' \ --enable=rhel-8-for-x86_64-baseos-eus-rpms \ --enable=rhel-8-for-x86_64-appstream-eus-rpms \ --enable=rhv-4-mgmt-agent-for-rhel-8-x86_64-rpms \ --enable=fast-datapath-for-rhel-8-x86_64-rpms \ --enable=advanced-virt-for-rhel-8-x86_64-rpms \ --enable=openstack-16.2-cinderlib-for-rhel-8-x86_64-rpms \ --enable=rhceph-4-tools-for-rhel-8-x86_64-rpms \ --enable=rhel-8-for-x86_64-appstream-tus-rpms \ --enable=rhel-8-for-x86_64-baseos-tus-rpms Set the RHEL version to 8.6: # subscription-manager release --set=8.6 Reset the virt module: # dnf module reset virt Note If this module is already enabled in the Advanced Virtualization stream, this step is not necessary, but it has no negative impact. You can see the value of the stream by entering: Enable the virt module in the Advanced Virtualization stream with the following command: For RHV 4.4.2: # dnf module enable virt:8.2 For RHV 4.4.3 to 4.4.5: # dnf module enable virt:8.3 For RHV 4.4.6 to 4.4.10: # dnf module enable virt:av For RHV 4.4 and later: Note Starting with RHEL 8.6 the Advanced virtualization packages will use the standard virt:rhel module. For RHEL 8.4 and 8.5, only one Advanced Virtualization stream is used, rhel:av . Ensure that all packages currently installed are up to date: # dnf upgrade --nobest Reboot the machine. Note If necessary, you can prevent kernel modules from loading automatically . Although the existing storage domains will be migrated from the standalone Manager, you must prepare additional storage for a self-hosted engine storage domain that is dedicated to the Manager virtual machine. | [
"subscription-manager repos --enable=rhvh-4-for-rhel-8-x86_64-rpms",
"rpm -Uvh http://satellite.example.com/pub/katello-ca-consumer-latest.noarch.rpm # subscription-manager register --org=\" org_id \" # subscription-manager list --available # subscription-manager attach --pool= pool_id # subscription-manager repos --disable='*' --enable=rhvh-4-for-rhel-8-x86_64-rpms",
"subscription-manager register",
"subscription-manager list --available",
"subscription-manager attach --pool= poolid",
"subscription-manager list --consumed",
"dnf repolist",
"subscription-manager repos --disable='*' --enable=rhel-8-for-x86_64-baseos-eus-rpms --enable=rhel-8-for-x86_64-appstream-eus-rpms --enable=rhv-4-mgmt-agent-for-rhel-8-x86_64-rpms --enable=fast-datapath-for-rhel-8-x86_64-rpms --enable=advanced-virt-for-rhel-8-x86_64-rpms --enable=openstack-16.2-cinderlib-for-rhel-8-x86_64-rpms --enable=rhceph-4-tools-for-rhel-8-x86_64-rpms --enable=rhel-8-for-x86_64-appstream-tus-rpms --enable=rhel-8-for-x86_64-baseos-tus-rpms",
"subscription-manager release --set=8.6",
"dnf module reset virt",
"dnf module list virt",
"dnf module enable virt:8.2",
"dnf module enable virt:8.3",
"dnf module enable virt:av",
"dnf module enable virt:rhel",
"dnf upgrade --nobest"
] | https://docs.redhat.com/en/documentation/red_hat_virtualization/4.4/html/migrating_from_a_standalone_manager_to_a_self-hosted_engine/installing_the_self-hosted_engine_deployment_host_migrating_to_she |
Chapter 11. Monitoring application health by using health checks | Chapter 11. Monitoring application health by using health checks In software systems, components can become unhealthy due to transient issues such as temporary connectivity loss, configuration errors, or problems with external dependencies. OpenShift Container Platform applications have a number of options to detect and handle unhealthy containers. 11.1. Understanding health checks A health check periodically performs diagnostics on a running container using any combination of the readiness, liveness, and startup health checks. You can include one or more probes in the specification for the pod that contains the container which you want to perform the health checks. Note If you want to add or edit health checks in an existing pod, you must edit the pod DeploymentConfig object or use the Developer perspective in the web console. You cannot use the CLI to add or edit health checks for an existing pod. Readiness probe A readiness probe determines if a container is ready to accept service requests. If the readiness probe fails for a container, the kubelet removes the pod from the list of available service endpoints. After a failure, the probe continues to examine the pod. If the pod becomes available, the kubelet adds the pod to the list of available service endpoints. Liveness health check A liveness probe determines if a container is still running. If the liveness probe fails due to a condition such as a deadlock, the kubelet kills the container. The pod then responds based on its restart policy. For example, a liveness probe on a pod with a restartPolicy of Always or OnFailure kills and restarts the container. Startup probe A startup probe indicates whether the application within a container is started. All other probes are disabled until the startup succeeds. If the startup probe does not succeed within a specified time period, the kubelet kills the container, and the container is subject to the pod restartPolicy . Some applications can require additional startup time on their first initialization. You can use a startup probe with a liveness or readiness probe to delay that probe long enough to handle lengthy start-up time using the failureThreshold and periodSeconds parameters. For example, you can add a startup probe, with a failureThreshold of 30 failures and a periodSeconds of 10 seconds (30 * 10s = 300s) for a maximum of 5 minutes, to a liveness probe. After the startup probe succeeds the first time, the liveness probe takes over. You can configure liveness, readiness, and startup probes with any of the following types of tests: HTTP GET : When using an HTTP GET test, the test determines the healthiness of the container by using a web hook. The test is successful if the HTTP response code is between 200 and 399 . You can use an HTTP GET test with applications that return HTTP status codes when completely initialized. Container Command: When using a container command test, the probe executes a command inside the container. The probe is successful if the test exits with a 0 status. TCP socket: When using a TCP socket test, the probe attempts to open a socket to the container. The container is only considered healthy if the probe can establish a connection. You can use a TCP socket test with applications that do not start listening until initialization is complete. You can configure several fields to control the behavior of a probe: initialDelaySeconds : The time, in seconds, after the container starts before the probe can be scheduled. The default is 0. periodSeconds : The delay, in seconds, between performing probes. The default is 10 . This value must be greater than timeoutSeconds . timeoutSeconds : The number of seconds of inactivity after which the probe times out and the container is assumed to have failed. The default is 1 . This value must be lower than periodSeconds . successThreshold : The number of times that the probe must report success after a failure to reset the container status to successful. The value must be 1 for a liveness probe. The default is 1 . failureThreshold : The number of times that the probe is allowed to fail. The default is 3. After the specified attempts: for a liveness probe, the container is restarted for a readiness probe, the pod is marked Unready for a startup probe, the container is killed and is subject to the pod's restartPolicy Example probes The following are samples of different probes as they would appear in an object specification. Sample readiness probe with a container command readiness probe in a pod spec apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application # ... spec: containers: - name: goproxy-app 1 args: image: registry.k8s.io/goproxy:0.1 2 readinessProbe: 3 exec: 4 command: 5 - cat - /tmp/healthy # ... 1 The container name. 2 The container image to deploy. 3 A readiness probe. 4 A container command test. 5 The commands to execute on the container. Sample container command startup probe and liveness probe with container command tests in a pod spec apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application # ... spec: containers: - name: goproxy-app 1 args: image: registry.k8s.io/goproxy:0.1 2 livenessProbe: 3 httpGet: 4 scheme: HTTPS 5 path: /healthz port: 8080 6 httpHeaders: - name: X-Custom-Header value: Awesome startupProbe: 7 httpGet: 8 path: /healthz port: 8080 9 failureThreshold: 30 10 periodSeconds: 10 11 # ... 1 The container name. 2 Specify the container image to deploy. 3 A liveness probe. 4 An HTTP GET test. 5 The internet scheme: HTTP or HTTPS . The default value is HTTP . 6 The port on which the container is listening. 7 A startup probe. 8 An HTTP GET test. 9 The port on which the container is listening. 10 The number of times to try the probe after a failure. 11 The number of seconds to perform the probe. Sample liveness probe with a container command test that uses a timeout in a pod spec apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application # ... spec: containers: - name: goproxy-app 1 args: image: registry.k8s.io/goproxy:0.1 2 livenessProbe: 3 exec: 4 command: 5 - /bin/bash - '-c' - timeout 60 /opt/eap/bin/livenessProbe.sh periodSeconds: 10 6 successThreshold: 1 7 failureThreshold: 3 8 # ... 1 The container name. 2 Specify the container image to deploy. 3 The liveness probe. 4 The type of probe, here a container command probe. 5 The command line to execute inside the container. 6 How often in seconds to perform the probe. 7 The number of consecutive successes needed to show success after a failure. 8 The number of times to try the probe after a failure. Sample readiness probe and liveness probe with a TCP socket test in a deployment kind: Deployment apiVersion: apps/v1 metadata: labels: test: health-check name: my-application spec: # ... template: spec: containers: - resources: {} readinessProbe: 1 tcpSocket: port: 8080 timeoutSeconds: 1 periodSeconds: 10 successThreshold: 1 failureThreshold: 3 terminationMessagePath: /dev/termination-log name: ruby-ex livenessProbe: 2 tcpSocket: port: 8080 initialDelaySeconds: 15 timeoutSeconds: 1 periodSeconds: 10 successThreshold: 1 failureThreshold: 3 # ... 1 The readiness probe. 2 The liveness probe. 11.2. Configuring health checks using the CLI To configure readiness, liveness, and startup probes, add one or more probes to the specification for the pod that contains the container which you want to perform the health checks Note If you want to add or edit health checks in an existing pod, you must edit the pod DeploymentConfig object or use the Developer perspective in the web console. You cannot use the CLI to add or edit health checks for an existing pod. Procedure To add probes for a container: Create a Pod object to add one or more probes: apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application spec: containers: - name: my-container 1 args: image: registry.k8s.io/goproxy:0.1 2 livenessProbe: 3 tcpSocket: 4 port: 8080 5 initialDelaySeconds: 15 6 periodSeconds: 20 7 timeoutSeconds: 10 8 readinessProbe: 9 httpGet: 10 host: my-host 11 scheme: HTTPS 12 path: /healthz port: 8080 13 startupProbe: 14 exec: 15 command: 16 - cat - /tmp/healthy failureThreshold: 30 17 periodSeconds: 20 18 timeoutSeconds: 10 19 1 Specify the container name. 2 Specify the container image to deploy. 3 Optional: Create a Liveness probe. 4 Specify a test to perform, here a TCP Socket test. 5 Specify the port on which the container is listening. 6 Specify the time, in seconds, after the container starts before the probe can be scheduled. 7 Specify the number of seconds to perform the probe. The default is 10 . This value must be greater than timeoutSeconds . 8 Specify the number of seconds of inactivity after which the probe is assumed to have failed. The default is 1 . This value must be lower than periodSeconds . 9 Optional: Create a Readiness probe. 10 Specify the type of test to perform, here an HTTP test. 11 Specify a host IP address. When host is not defined, the PodIP is used. 12 Specify HTTP or HTTPS . When scheme is not defined, the HTTP scheme is used. 13 Specify the port on which the container is listening. 14 Optional: Create a Startup probe. 15 Specify the type of test to perform, here an Container Execution probe. 16 Specify the commands to execute on the container. 17 Specify the number of times to try the probe after a failure. 18 Specify the number of seconds to perform the probe. The default is 10 . This value must be greater than timeoutSeconds . 19 Specify the number of seconds of inactivity after which the probe is assumed to have failed. The default is 1 . This value must be lower than periodSeconds . Note If the initialDelaySeconds value is lower than the periodSeconds value, the first Readiness probe occurs at some point between the two periods due to an issue with timers. The timeoutSeconds value must be lower than the periodSeconds value. Create the Pod object: USD oc create -f <file-name>.yaml Verify the state of the health check pod: USD oc describe pod my-application Example output Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 9s default-scheduler Successfully assigned openshift-logging/liveness-exec to ip-10-0-143-40.ec2.internal Normal Pulling 2s kubelet, ip-10-0-143-40.ec2.internal pulling image "registry.k8s.io/liveness" Normal Pulled 1s kubelet, ip-10-0-143-40.ec2.internal Successfully pulled image "registry.k8s.io/liveness" Normal Created 1s kubelet, ip-10-0-143-40.ec2.internal Created container Normal Started 1s kubelet, ip-10-0-143-40.ec2.internal Started container The following is the output of a failed probe that restarted a container: Sample Liveness check output with unhealthy container USD oc describe pod pod1 Example output .... Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled <unknown> Successfully assigned aaa/liveness-http to ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Normal AddedInterface 47s multus Add eth0 [10.129.2.11/23] Normal Pulled 46s kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Successfully pulled image "registry.k8s.io/liveness" in 773.406244ms Normal Pulled 28s kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Successfully pulled image "registry.k8s.io/liveness" in 233.328564ms Normal Created 10s (x3 over 46s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Created container liveness Normal Started 10s (x3 over 46s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Started container liveness Warning Unhealthy 10s (x6 over 34s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Liveness probe failed: HTTP probe failed with statuscode: 500 Normal Killing 10s (x2 over 28s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Container liveness failed liveness probe, will be restarted Normal Pulling 10s (x3 over 47s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Pulling image "registry.k8s.io/liveness" Normal Pulled 10s kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Successfully pulled image "registry.k8s.io/liveness" in 244.116568ms 11.3. Monitoring application health using the Developer perspective You can use the Developer perspective to add three types of health probes to your container to ensure that your application is healthy: Use the Readiness probe to check if the container is ready to handle requests. Use the Liveness probe to check if the container is running. Use the Startup probe to check if the application within the container has started. You can add health checks either while creating and deploying an application, or after you have deployed an application. 11.4. Editing health checks using the Developer perspective You can use the Topology view to edit health checks added to your application, modify them, or add more health checks. Prerequisites You have switched to the Developer perspective in the web console. You have created and deployed an application on OpenShift Container Platform using the Developer perspective. You have added health checks to your application. Procedure In the Topology view, right-click your application and select Edit Health Checks . Alternatively, in the side panel, click the Actions drop-down list and select Edit Health Checks . In the Edit Health Checks page: To remove a previously added health probe, click the Remove icon adjoining it. To edit the parameters of an existing probe: Click the Edit Probe link to a previously added probe to see the parameters for the probe. Modify the parameters as required, and click the check mark to save your changes. To add a new health probe, in addition to existing health checks, click the add probe links. For example, to add a Liveness probe that checks if your container is running: Click Add Liveness Probe , to see a form containing the parameters for the probe. Edit the probe parameters as required. Note The Timeout value must be lower than the Period value. The Timeout default value is 1 . The Period default value is 10 . Click the check mark at the bottom of the form. The Liveness Probe Added message is displayed. Click Save to save your modifications and add the additional probes to your container. You are redirected to the Topology view. In the side panel, verify that the probes have been added by clicking on the deployed pod under the Pods section. In the Pod Details page, click the listed container in the Containers section. In the Container Details page, verify that the Liveness probe - HTTP Get 10.129.4.65:8080/ has been added to the container, in addition to the earlier existing probes. 11.5. Monitoring health check failures using the Developer perspective In case an application health check fails, you can use the Topology view to monitor these health check violations. Prerequisites You have switched to the Developer perspective in the web console. You have created and deployed an application on OpenShift Container Platform using the Developer perspective. You have added health checks to your application. Procedure In the Topology view, click on the application node to see the side panel. Click the Observe tab to see the health check failures in the Events (Warning) section. Click the down arrow adjoining Events (Warning) to see the details of the health check failure. Additional resources For details on switching to the Developer perspective in the web console, see About the Developer perspective . For details on adding health checks while creating and deploying an application, see Advanced Options in the Creating applications using the Developer perspective section. | [
"apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application spec: containers: - name: goproxy-app 1 args: image: registry.k8s.io/goproxy:0.1 2 readinessProbe: 3 exec: 4 command: 5 - cat - /tmp/healthy",
"apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application spec: containers: - name: goproxy-app 1 args: image: registry.k8s.io/goproxy:0.1 2 livenessProbe: 3 httpGet: 4 scheme: HTTPS 5 path: /healthz port: 8080 6 httpHeaders: - name: X-Custom-Header value: Awesome startupProbe: 7 httpGet: 8 path: /healthz port: 8080 9 failureThreshold: 30 10 periodSeconds: 10 11",
"apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application spec: containers: - name: goproxy-app 1 args: image: registry.k8s.io/goproxy:0.1 2 livenessProbe: 3 exec: 4 command: 5 - /bin/bash - '-c' - timeout 60 /opt/eap/bin/livenessProbe.sh periodSeconds: 10 6 successThreshold: 1 7 failureThreshold: 3 8",
"kind: Deployment apiVersion: apps/v1 metadata: labels: test: health-check name: my-application spec: template: spec: containers: - resources: {} readinessProbe: 1 tcpSocket: port: 8080 timeoutSeconds: 1 periodSeconds: 10 successThreshold: 1 failureThreshold: 3 terminationMessagePath: /dev/termination-log name: ruby-ex livenessProbe: 2 tcpSocket: port: 8080 initialDelaySeconds: 15 timeoutSeconds: 1 periodSeconds: 10 successThreshold: 1 failureThreshold: 3",
"apiVersion: v1 kind: Pod metadata: labels: test: health-check name: my-application spec: containers: - name: my-container 1 args: image: registry.k8s.io/goproxy:0.1 2 livenessProbe: 3 tcpSocket: 4 port: 8080 5 initialDelaySeconds: 15 6 periodSeconds: 20 7 timeoutSeconds: 10 8 readinessProbe: 9 httpGet: 10 host: my-host 11 scheme: HTTPS 12 path: /healthz port: 8080 13 startupProbe: 14 exec: 15 command: 16 - cat - /tmp/healthy failureThreshold: 30 17 periodSeconds: 20 18 timeoutSeconds: 10 19",
"oc create -f <file-name>.yaml",
"oc describe pod my-application",
"Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled 9s default-scheduler Successfully assigned openshift-logging/liveness-exec to ip-10-0-143-40.ec2.internal Normal Pulling 2s kubelet, ip-10-0-143-40.ec2.internal pulling image \"registry.k8s.io/liveness\" Normal Pulled 1s kubelet, ip-10-0-143-40.ec2.internal Successfully pulled image \"registry.k8s.io/liveness\" Normal Created 1s kubelet, ip-10-0-143-40.ec2.internal Created container Normal Started 1s kubelet, ip-10-0-143-40.ec2.internal Started container",
"oc describe pod pod1",
". Events: Type Reason Age From Message ---- ------ ---- ---- ------- Normal Scheduled <unknown> Successfully assigned aaa/liveness-http to ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Normal AddedInterface 47s multus Add eth0 [10.129.2.11/23] Normal Pulled 46s kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Successfully pulled image \"registry.k8s.io/liveness\" in 773.406244ms Normal Pulled 28s kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Successfully pulled image \"registry.k8s.io/liveness\" in 233.328564ms Normal Created 10s (x3 over 46s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Created container liveness Normal Started 10s (x3 over 46s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Started container liveness Warning Unhealthy 10s (x6 over 34s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Liveness probe failed: HTTP probe failed with statuscode: 500 Normal Killing 10s (x2 over 28s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Container liveness failed liveness probe, will be restarted Normal Pulling 10s (x3 over 47s) kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Pulling image \"registry.k8s.io/liveness\" Normal Pulled 10s kubelet, ci-ln-37hz77b-f76d1-wdpjv-worker-b-snzrj Successfully pulled image \"registry.k8s.io/liveness\" in 244.116568ms"
] | https://docs.redhat.com/en/documentation/openshift_container_platform/4.17/html/building_applications/application-health |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.