Observability Engineering

A book-shaped table of contents for observability engineering: foundations through architecture, metrics, logging, tracing, profiling, OpenTelemetry, instrumentation, Kubernetes/cloud, data platforms, visualization, alerting, SRE integration, cost, security, platform engineering, AI-driven operations, and MAANG interview preparation — cross-linking existing prometheus/grafana-cloud/kubernetes/sre/platform-engineering notes instead of duplicating them.

1 — Kubernetes Metrics

Covers the cAdvisor/kubelet/kube-state-metrics metric surfaces and which one answers which question about a cluster.

3 — Node Monitoring

Covers node-level resource pressure signals and how they surface as pod evictions and scheduling failures.

4 — Pod Monitoring

Covers pod lifecycle, restart, and readiness/liveness signal correlation with application-level telemetry.

5 — Cluster Events

Covers the Kubernetes Events API as a signal type distinct from metrics and logs, and its short default retention.