This one has a lot of surface area and I think I handled the first layer fine (kubectl describe, checking events, exit codes) but fumbled a bit when they pushed on the JDBC-specific angle.
Start by systematically gathering information from the pod's logs, events, and configuration to identify the root cause of the crash. Then, based on the findings, apply targeted fixes and verify the pod recovers. Emphasize a methodical, evidence-based approach rather than jumping to conclusions.
Pro tip: Always check the previous container's logs with `kubectl logs --previous` to see the crash output, and inspect the pod's events with `kubectl describe pod` for clues like OOMKilled or liveness probe failures.
Use `kubectl describe pod <pod-name>` to check events, state, and restart count. Retrieve logs from the current and previous container instances with `kubectl logs <pod-name>` and `kubectl logs <pod-name> --previous`.
Analyze logs and events to determine if the crash is due to application errors (e.g., JDBC connection failures), resource constraints (OOMKilled), configuration issues, or liveness probe failures.
Verify that the database is reachable, credentials are correct, and environment variables or ConfigMaps/Secrets are properly set. Test connectivity from within the cluster if needed.
Based on the root cause, adjust the deployment (e.g., fix connection string, increase memory limits, adjust probe timings) and redeploy. Monitor the pod to ensure it reaches Running state and stays healthy.
Consider implementing readiness/liveness probes, resource requests/limits, and proper logging to catch issues early. Document the incident and update runbooks.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.