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    About

    Kubernetes operations including deployment, management, troubleshooting, kubectl mastery, and cluster stability...

    SKILL.md

    Kubernetes Operations

    Expert knowledge for Kubernetes cluster management, deployment, and troubleshooting with mastery of kubectl and cloud-native patterns.

    When to Use This Skill

    Use this skill when... Use instead when...
    Working with kubectl against pods, deployments, services, ingress, ConfigMaps, or Secrets Use kubectl-debugging when you specifically need kubectl debug ephemeral containers or node sessions
    Applying or inspecting raw Kubernetes manifests and kustomize overlays Use helm-release-management when the workload is delivered as a Helm chart
    Diagnosing cluster-level networking, storage, or workload health Use argocd-login when the issue is authenticating to ArgoCD before any cluster operation

    Core Expertise

    Kubernetes Operations

    • Workload Management: Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs
    • Networking: Services, Ingress, NetworkPolicies, and DNS configuration
    • Configuration & Storage: ConfigMaps, Secrets, PersistentVolumes, and PersistentVolumeClaims
    • Troubleshooting: Debugging pods, analyzing logs, and inspecting cluster events

    Cluster Operations Process

    1. Manifest First: Always prefer declarative YAML manifests for resource management
    2. Validate & Dry-Run: Use kubectl apply --dry-run=client to validate changes
    3. Inspect & Verify: After applying changes, verify with kubectl get, kubectl describe, kubectl logs
    4. Monitor Health: Continuously check status of nodes, pods, and services
    5. Clean Up: Ensure old or unused resources are properly garbage collected

    Essential Commands

    # Resource management
    kubectl apply -f manifest.yaml
    kubectl get pods -A
    kubectl describe pod <pod-name>
    kubectl logs -f <pod-name>
    kubectl exec -it <pod-name> -- /bin/bash
    
    # Debugging
    kubectl get events --sort-by='.lastTimestamp'
    kubectl top nodes
    kubectl top pods --containers
    kubectl port-forward <pod-name> 8080:80
    
    # Deployment management
    kubectl rollout status deployment/<name>
    kubectl rollout history deployment/<name>
    kubectl rollout undo deployment/<name>
    
    # Cluster inspection
    kubectl cluster-info
    kubectl get nodes -o wide
    kubectl api-resources
    

    Key Debugging Patterns

    Pod Debugging

    # Pod inspection
    kubectl describe pod <pod-name>
    kubectl get pod <pod-name> -o yaml
    kubectl logs <pod-name> --previous
    
    # Interactive debugging
    kubectl exec -it <pod-name> -- /bin/bash
    kubectl debug <pod-name> -it --image=busybox
    kubectl port-forward <pod-name> 8080:80
    

    Networking Troubleshooting

    # Service debugging
    kubectl get svc -o wide
    kubectl get endpoints
    kubectl describe svc <service>
    
    # Network connectivity
    kubectl run test-pod --image=busybox -it --rm -- sh
    # Inside pod: nslookup, wget, nc commands
    

    Common Issues

    # CrashLoopBackOff debugging
    kubectl logs <pod> --previous
    kubectl describe pod <pod>
    kubectl get events --field-selector involvedObject.name=<pod>
    
    # Resource constraints
    kubectl top pod <pod>
    kubectl describe pod <pod> | grep -A 5 Limits
    
    # State management
    kubectl state list
    kubectl state show <resource>
    

    Best Practices

    Context Safety (CRITICAL)

    • Always specify --context explicitly in every kubectl command
    • Never rely on the current context - it may have been changed by another process
    • Use kubectl --context=<context-name> get pods format for all operations
    • This prevents accidental operations on the wrong cluster (e.g., running production commands against staging)
    # CORRECT: Explicit context
    kubectl --context=gke_myproject_us-central1_prod get pods
    kubectl --context=staging-cluster apply -f deployment.yaml
    
    # WRONG: Relying on current context
    kubectl get pods  # Which cluster is this targeting?
    

    Resource Definitions

    • Use declarative YAML manifests
    • Implement proper labels and selectors
    • Define resource requests and limits
    • Configure health checks (liveness/readiness probes)

    Security

    • Use NetworkPolicies to restrict traffic
    • Implement RBAC for access control
    • Store sensitive data in Secrets
    • Run containers as non-root users

    Monitoring

    • Configure proper logging and metrics
    • Set up alerts for critical conditions
    • Use health checks and readiness probes
    • Monitor resource usage and quotas

    Agentic Optimizations

    Context Command
    Pod status (structured) kubectl get pods -n <ns> -o json | jq '.items[] | {name:.metadata.name, status:.status.phase}'
    Quick overview kubectl get pods -n <ns> -o wide
    Events (compact) kubectl get events -n <ns> --sort-by='.lastTimestamp' -o json
    Resource details kubectl get <resource> -o json
    Logs (bounded) kubectl logs <pod> -n <ns> --tail=50

    For detailed debugging commands, troubleshooting patterns, Helm workflows, and advanced K8s operations, see REFERENCE.md.

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