From k9s to OpenTelemetry: A guide to observability for your apps in K8s
summary
Starts at the Kubernetes API level with concrete tools like k9s and web UIs (Headlamp, Lens replacements) and demos kubectl debug attaching a shell into a distroless container; covers cluster metrics with Prometheus & Grafana; compares pod-sidecar service meshes that capture request/latency flows versus node-level capture using eBPF (Hubble/Cilium) to reduce agent count; drills into application traces and JVM auto- and javaagent instrumentation using OpenTelemetry, with live demos of traces, JVM metrics and SQL spans.
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chapters (9)
- 0:00Introduction
- 3:58K8s observability challenges
- 7:10Kubernetes tools like k9s
- 16:01Prometheus and Grafana basics
- 17:05Service mesh for observability
- 25:30eBPF network monitoring
- 31:52OpenTelemetry app monitoring
- 42:24Summary and resources
- 43:49Q&A
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