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Kubernetes ops

Skill BagelHole/DevOps-Security-Agent-Skills/devops/orchestration/kubernetes-ops

Agent-ready DevOps, security, infrastructure, and compliance knowledge base with 80+ skills across Kubernetes, Terraform, AWS/Azure/GCP, AI platform operations, container hardening, SOC2/ISO27001, and incident response—plus ready-to-run scripts, templates, and playbooks for SRE, platform, and security teams.

Install
npx -y skills add BagelHole/DevOps-Security-Agent-Skills --skill kubernetes-ops

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What its author says it does

Copied from the file, not written here

Deploy, scale, and manage Kubernetes workloads. Create deployments, services, and configurations, manage cluster resources, troubleshoot pods, and implement production-ready Kubernetes patterns. Use when working with Kubernetes clusters, K8s deployments, or container orchestration.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

9.1 KB, ~2.4k tokens by cl100k_base, as published. Nobody here has run it

Kubernetes Operations

Deploy and manage containerized applications on Kubernetes clusters.

When to Use This Skill

Use this skill when:

  • Deploying applications to Kubernetes
  • Managing pods, deployments, and services
  • Configuring resource limits and scaling
  • Troubleshooting Kubernetes workloads
  • Setting up networking and ingress

Prerequisites

  • kubectl installed and configured
  • Access to a Kubernetes cluster
  • Basic understanding of containers

Core Resources

Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
  labels:
    app: myapp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      containers:
      - name: myapp
        image: myapp:1.0.0
        ports:
        - containerPort: 8080
        resources:
          requests:
            memory: "128Mi"
            cpu: "100m"
          limits:
            memory: "256Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 10
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: 8080
          initialDelaySeconds: 5
          periodSeconds: 5
        env:
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: myapp-secrets
              key: database-url

Service

apiVersion: v1
kind: Service
metadata:
  name: myapp
spec:
  selector:
    app: myapp
  ports:
  - port: 80
    targetPort: 8080
  type: ClusterIP
---
# LoadBalancer for external access
apiVersion: v1
kind: Service
metadata:
  name: myapp-external
spec:
  selector:
    app: myapp
  ports:
  - port: 80
    targetPort: 8080
  type: LoadBalancer

Ingress

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: myapp
  annotations:
    nginx.ingress.kubernetes.io/rewrite-target: /
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - myapp.example.com
    secretName: myapp-tls
  rules:
  - host: myapp.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: myapp
            port:
              number: 80

Configuration Management

ConfigMap

apiVersion: v1
kind: ConfigMap
metadata:
  name: myapp-config
data:
  config.yaml: |
    server:
      port: 8080
    logging:
      level: info
  APP_ENV: production
# Using ConfigMap
containers:
- name: myapp
  envFrom:
  - configMapRef:
      name: myapp-config
  volumeMounts:
  - name: config
    mountPath: /etc/config
volumes:
- name: config
  configMap:
    name: myapp-config

Secret

apiVersion: v1
kind: Secret
metadata:
  name: myapp-secrets
type: Opaque
stringData:
  database-url: postgres://user:pass@host:5432/db
  api-key: secret-key-value
# Create secret from command line
kubectl create secret generic myapp-secrets \
  --from-literal=database-url='postgres://...' \
  --from-file=tls.crt=cert.pem

kubectl Commands

Resource Management

# Apply configuration
kubectl apply -f deployment.yaml

# Get resources
kubectl get pods
kubectl get deployments
kubectl get services
kubectl get all -n myapp

# Describe resource
kubectl describe pod myapp-xxx

# Delete resource
kubectl delete -f deployment.yaml
kubectl delete pod myapp-xxx

# Edit resource
kubectl edit deployment myapp

Debugging

# View logs
kubectl logs myapp-xxx
kubectl logs -f myapp-xxx --tail=100
kubectl logs myapp-xxx -c sidecar  # specific container

# Execute command
kubectl exec -it myapp-xxx -- /bin/sh

# Port forward
kubectl port-forward svc/myapp 8080:80
kubectl port-forward pod/myapp-xxx 8080:8080

# View events
kubectl get events --sort-by='.lastTimestamp'

# Debug pod
kubectl debug myapp-xxx -it --image=busybox

Scaling

# Manual scaling
kubectl scale deployment myapp --replicas=5

# Autoscaling
kubectl autoscale deployment myapp \
  --min=2 --max=10 \
  --cpu-percent=80

Horizontal Pod Autoscaler

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 80
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80

Persistent Storage

PersistentVolumeClaim

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: myapp-data
spec:
  accessModes:
    - ReadWriteOnce
  storageClassName: standard
  resources:
    requests:
      storage: 10Gi
---
# Using PVC
containers:
- name: myapp
  volumeMounts:
  - name: data
    mountPath: /data
volumes:
- name: data
  persistentVolumeClaim:
    claimName: myapp-data

StatefulSet

apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: postgres
spec:
  serviceName: postgres
  replicas: 3
  selector:
    matchLabels:
      app: postgres
  template:
    metadata:
      labels:
        app: postgres
    spec:
      containers:
      - name: postgres
        image: postgres:15
        ports:
        - containerPort: 5432
        volumeMounts:
        - name: data
          mountPath: /var/lib/postgresql/data
  volumeClaimTemplates:
  - metadata:
      name: data
    spec:
      accessModes: ["ReadWriteOnce"]
      resources:
        requests:
          storage: 10Gi

Jobs and CronJobs

Job

apiVersion: batch/v1
kind: Job
metadata:
  name: migration
spec:
  template:
    spec:
      containers:
      - name: migrate
        image: myapp:1.0.0
        command: ["./migrate.sh"]
      restartPolicy: Never
  backoffLimit: 3

CronJob

apiVersion: batch/v1
kind: CronJob
metadata:
  name: backup
spec:
  schedule: "0 2 * * *"
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: backup
            image: backup-tool:latest
            command: ["./backup.sh"]
          restartPolicy: OnFailure

Network Policies

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: myapp-network-policy
spec:
  podSelector:
    matchLabels:
      app: myapp
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - podSelector:
        matchLabels:
          app: frontend
    ports:
    - protocol: TCP
      port: 8080
  egress:
  - to:
    - podSelector:
        matchLabels:
          app: database
    ports:
    - protocol: TCP
      port: 5432

Resource Quotas

apiVersion: v1
kind: ResourceQuota
metadata:
  name: myapp-quota
  namespace: myapp
spec:
  hard:
    requests.cpu: "10"
    requests.memory: 20Gi
    limits.cpu: "20"
    limits.memory: 40Gi
    pods: "20"

Rolling Updates

spec:
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
# Update image
kubectl set image deployment/myapp myapp=myapp:2.0.0

# Check rollout status
kubectl rollout status deployment/myapp

# View history
kubectl rollout history deployment/myapp

# Rollback
kubectl rollout undo deployment/myapp
kubectl rollout undo deployment/myapp --to-revision=2

Common Issues

Issue: Pod Stuck in Pending

Problem: Pod won't start Solution: Check resource availability, node selector, PVC binding

kubectl describe pod myapp-xxx
kubectl get events

Issue: CrashLoopBackOff

Problem: Container keeps restarting Solution: Check logs, verify entrypoint, check probes

kubectl logs myapp-xxx --previous
kubectl describe pod myapp-xxx

Issue: Service Not Accessible

Problem: Cannot connect to service Solution: Check selector labels, verify endpoints exist

kubectl get endpoints myapp
kubectl describe svc myapp

Issue: Image Pull Error

Problem: ImagePullBackOff Solution: Check image name, verify registry credentials

kubectl create secret docker-registry regcred \
  --docker-server=registry.example.com \
  --docker-username=user \
  --docker-password=pass

Best Practices

  • Always set resource requests and limits
  • Implement liveness and readiness probes
  • Use namespaces for isolation
  • Apply network policies for security
  • Use ConfigMaps and Secrets for configuration
  • Implement pod disruption budgets for availability
  • Use labels consistently for organization
  • Enable RBAC for access control

Related Skills

What ships with it: 6 files

16.1 KB alongside SKILL.md, 3 of them executable

scripts/

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