How would you answer an interview scenario involving Kubernetes observability and troubleshooting?

For an interview scenario involving Kubernetes observability and troubleshooting, I would first clarify the business goal, scale, constraints, and the failure or quality attribute the interviewer wants to explore. Kubernetes observability combines application logs, metrics, events, traces, and cluster state to explain workload behavior. In this scenario, a Deployment has intermittent 503 errors after a rollout. Explain how you would investigate Pods, readiness, Services, ingress, events, resource pressure, and application traces. I would then explain the main alternatives and tradeoffs, identify likely failure modes, and describe how I would validate the solution through testing, observability, security controls, and recovery or rollback planning.