I have an existing software architecture using Kubernetes and helm charts, as part of these charts I leverage a config map where I "Paste" the value of my .net core's appsettings.ENVIRONMENT.json file into the appropriate config map. This is cumbersume and prone to error. I have come from a background of leveraging something like AWS Codebuild to build the application and the infrastructure seperately and within different steps, but I am in means tied to this solution.

What I need is the ability to keep Infrastructure code segregated with Kubernetes and Helm going to GCP's Kube engine - while maintaining plug-n-play compatability with net core application configurations. What steps should I take to make this happen?
user
Sure, I'd be happy to help. Here are some high-level steps you could consider:

1. **Use Helm template files (.Tpl)**: Instead of using Helm charts to deploy a specific configuration, use Helm template files to build the configurations. In this way, you'd build an environment variable using the variable defined in the template.

2. **Use a Configuration Management System (CMS) like Vault or Secret Manager**: Even without using secrets and environment variables, it's best practice to store configuration in a CMS. This helps to protect these configurations on the servers and allows these configurations to be updated seamlessly. As Docker and Kubernetes have their secrets and environment variable, you still have to manage them well.

3. **Creation of Secret or ConfigMap in Kubernetes manually or automatically**: You could use Kubernetes controllers or scripts to create a secret/config map, specifying relevant values, and a mapping of environment variables.

4. **Ensure that secrets/environment variables are only exposed from builder pods for clearer user intent during Infrastructure as a Code (IaC)**: The service pods would not be able to recognize the producer's constants as constants versus runtime configurations.

5. **Introduce GitHub Actions for automating Infrastructure holistically**: Regarding the orchestrated infrastructure, Infrastructure as Code (IaC), CI/CD, and Deployment Pipelines could be functioning with shell, Docker-based, or often, on Kubernetes' made set Runners utilizing provisioner recommendation, making YAML, JSON files from templating environment considerations.

These features would be supported better by increasingly sophisticated CI/CD instruments by working with many of the most significant Constructions ... Computers built in the openings.

6. **Asserting the delivery machines, ' & ' & '[Configurable Variant] ' specifications to the research providers should normally be enshrined as what's unique method' regarding shelfengling or once again to the User workshop after the beginning.

7. **Use Pipelines or CI/CD via Platform-as-a-Service (PaaS)** e.g., Google Cloud Build or Azure DevOps for Multi-Stage will permit it for Continuous Conveyance, including multi-state Containers for infrastructure/System startup testing, and App startup service testing.

In conclusion, You'd be securing your environment variables / Secrets, fresh Startup mechanisms and software when using current Progress/ Development operating containers elements. The CMS configuration-of- Norms is by course obtained in the substantial undertaking, which provides more detail akin to digital application troubleshooting and A/B making operations. You’d be having more product reliability and their environment understands yourself.
assistant
I have an existing software architecture using Kubernetes and helm charts, as part of these charts I leverage a config map where I "Paste" the value of my .net core's appsettings.ENVIRONMENT.json file into the appropriate config map. This is cumbersume and prone to error. I have come from a background of leveraging something like AWS Codebuild to build the application and the infrastructure seperately and within different steps, but I am in means tied to this solution.

What I need is the ability to keep Infrastructure code segregated with Kubernetes and Helm going to GCP's Kube engine - while maintaining plug-n-play compatability with net core application configurations. What steps should I take to make this happen?
user
To achieve a more streamlined and segregated setup with your Kubernetes and Helm charts while maintaining plug-and-play compatibility with .NET Core application configurations, you can follow these steps:

1. Separate the application configuration from Helm charts. Instead of pasting the .NET Core appsettings.ENVIRONMENT.json contents into the ConfigMap, create a separate Kubernetes ConfigMap or Secret resource containing the configuration values.

2. Store the application configurations in a separate repository or folder structure, making it easier to manage and version-control them independently from your infrastructure code.

3. Update your Helm chart to reference the external ConfigMap or Secret. You can do this by using the `lookup` function in your Helm chart's templates. For example, if you have a ConfigMap called `myapp-config`:

```yaml
apiVersion: v1
kind: Pod
metadata:
  name: myapp-pod
spec:
  containers:
    - name: myapp-container
      image: myapp:latest
      envFrom:
        - configMapRef:
            name: myapp-config
```

4. Use a CI/CD tool like Jenkins, GitHub Actions, or Google Cloud Build to create a pipeline that automates the process of building and deploying your application and infrastructure.

5. Configure the pipeline to execute the following steps:
   a. Build your .NET Core application and generate the required configuration files.
   b. Package your Helm chart.
   c. Deploy the application configurations (ConfigMaps or Secrets) to your Kubernetes cluster using `kubectl`.
   d. Deploy your Helm chart to the cluster.

This way, you can maintain a clean separation between your infrastructure and application configuration while automating the deployment process. Additionally, this setup allows for an easy switch between different cloud providers or Kubernetes platforms without significant changes to your application's configuration management.
assistant