Monitoring and Troubleshooting
Signals, SLOs, and kubectl Debugging
Connect metrics, traces, and Kubernetes events when latency spikes lack obvious culprits.
Program narrative
You build lightweight SLO sketches, wire exemplars into pod logs, and practice kubectl debugging combinations that do not thrash the apiserver. We stay vendor-neutral: exemplar labs use open telemetry collectors already vetted for the cohort VPC.
Inclusions
- Choosing histogram buckets that match kube-proxy behavior
- kubectl events --types filters that reduce noise fast
- Ephemeral debug containers with explicit guardrails
- Quality standards for metric retention versus cost
- Dashboard hygiene without numeric overload in screenshots
Outcomes you can evidence
- Ship a concise latency investigation timeline
- Pair metrics spikes with deployment changes using tags only
- Present findings without blaming a single team by default
Common questions
We cover enough PromQL to debug Kubernetes signals. Advanced analytics belong elsewhere.
From our cohorts
“The SLO sketch exercise forced our product pair to agree on verbs before we touched dashboards—small shift, big calm.”