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Kubernetes Operations

@laurigates/dotfiles
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Kubernetes operations including deployment, management, troubleshooting, kubectl mastery, and cluster stability. Automatically assists with K8s workloads, networking, storage, and debugging.

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SKILL.md

name Kubernetes Operations
description Kubernetes operations including deployment, management, troubleshooting, kubectl mastery, and cluster stability. Automatically assists with K8s workloads, networking, storage, and debugging.
allowed-tools Glob, Grep, Read, Bash, Edit, Write, TodoWrite, WebFetch

Kubernetes Operations

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

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

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

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