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A Guide to Observability for Your (Java) Apps in K8s

slides:none on file

Walks through three concrete levels: API/CLI inspection with K9s, Octant, Headlamp and live recon using kubectl debug to attach a tool container into distroless pods; network-level visibility with sidecar service meshes (Istio/Kiali) but with per-pod CPU/memory overhead and one forced pod restart versus node-based eBPF meshes like Cilium/Hubble that cut proxy hops; and application tracing via OpenTelemetry Java agent (inject in Dockerfile or instrument code), exporting to Jaeger/Grafana for span-level root cause analysis.

AI-written summary · about

  1. 0:00Introduction and context
  2. 10:29Basic Kubernetes observability
  3. 15:49Debugging with kubectl debug
  4. 19:38Service mesh observability
  5. 25:40eBPF-based service meshes
  6. 31:52OpenTelemetry deep dive
  7. 40:16Open APM tool overview
  8. 42:00Summary and Q&A
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