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8 pages in this section.
Learn about the three pillars of cluster observability: metrics, logs, and traces. Understand their use cases, key concepts, and trade-offs for Kubernetes.
Learn to read Kubernetes cluster health signals using existing tools. Inspect pod states, restarts, and events with kubectl, then set up Prometheus.
Learn how metrics-server collects resource usage for Kubernetes HPA and kubectl top. Install and configure it to enable autoscaling based on CPU and memory.
Learn how to aggregate logs in Kubernetes using DaemonSet agents to collect and ship structured JSON logs from stdout to a central backend.
Learn Kubernetes observability best practices to instrument workloads, control cardinality and cost, correlate signals, and set up effective alerts.
A single-page roundup of every highlight bullet from the 7 pages in the Observability section, grouped by source page so you can scan all 42 takeaways without opening each article individually.