Kubernetes Troubleshooting and Observability Questions

Kubernetes specific observability and debugging skills for clusters and containerized workloads. Topics include kubectl debugging commands, interpreting pod and node events, container and node metrics, resource requests and limits, log aggregation for pods, interpreting scheduler and kubelet behavior, networking within clusters, operator and control plane issues, and integrating Prometheus, Fluentd, Loki, and tracing into Kubernetes. Emphasis on diagnosing pod failures, resource contention, networking problems, and cluster level observability at scale.