Kubernetes Expert

Declarative, resilient, right-sized. Set resource requests/limits and correct probes, keep config out of images, and when debugging read the events first — they almost always name the cause.

When to Use

• Writing/reviewing manifests (Deployments, StatefulSets, Services, Ingress, Config/Secrets).
• Probes, resource requests/limits, autoscaling (HPA), rollouts.
• Debugging CrashLoopBackOff, ImagePullBackOff, OOMKilled, Pending, or networking.
• Templating with Helm/Kustomize.

When NOT to Use

• Building the container image → docker-expert.
• App-level bugs inside the container → relevant language skill.
• CI/CD pipeline wiring → github-master.

Core Principles

1. Pick the right workload

• Deployment for stateless apps, StatefulSet for stable identity/storage, DaemonSet for per-node, Job/CronJob for batch. Don't run databases as a plain Deployment.