Full stack visibility: Centralize and visualize log, metric, and trace data from every component in your Kubernetes environment: your nodes, Control Plane, containers, and apps, together.
Surface health and performance issues: Set alerts to automatically trigger notifications when health and performance metrics for any component cross defined thresholds.
Ensure a reliable Control Plane: Track critical metrics – like non-200 HTTP response codes – of every Control Plane component so it can schedule and orchestrate services to keep your cluster running smoothly.
Investigate fast: Correlate across logs, metrics, and traces to drill into the root cause of infrastructure issues.
Change analysis: Understand how changes in your environment – such as new deployments and configurations – impact all your services.
Automatically surface critical K8s errors and exceptions: Logz.io’s human-coached ML flags key K8s errors and exceptions based on analysis from real engineers.
Native Kubernetes integrations: Use popular open source technologies hosted by the Cloud-Native Computing Foundation to seamlessly collect K8s observability data – including OpenTelemetry, Prometheus, and Fluentd.
Automatic service discovery in dynamic environments: automatically collect data from newly created services, regardless of where they spin up.
Monitor any Kubernetes platform: including AWS EKS, Azure AKS, GCP GKE, OpenShift, Rancher, Anthos, and any other Kubernetes platform.
Built on Kubernetes, for Kubernetes: Logz.io’s cloud-naive SaaS platform automatically adjusts scaling to ingest and store fluctuating volumes of data.
Any scale, any burst, always up: Ensure your applications are highly performant and available even during unexpected spikes in traffic.
Dish Network engineers were able to reduce their observability by 62% by filtering out the noise.
Eliminate the noise: Easily identify and filter out unneeded data on the fly with Logz.io’s self-service tools, or get hands-on expertise from Logz.io engineers to remove unneeded data.
Manage costs, teams, and data across clusters: Easily monitor data volumes across teams to find trends and opportunities for cost reduction. Set caps to prevent bursty data from running up your bill.
