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Kubernetes Patterns Agent Skill

Pod design patterns, sidecar containers, init containers, config management, rolling updates, and resource limits.

2k tokens
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the whole folder, loaded on every use
1
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instructions only
0
copies elsewhere
how many repositories repackaged it
521
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/vibeeval/vibecosystem --skill kubernetes-patterns

The instruction itself

10 sections, as written by the author

Kubernetes Patterns

Production-grade Kubernetes deployment and pod design patterns.

Pod Design Patterns

# Sidecar Pattern: log collector alongside main app
apiVersion: v1
kind: Pod
metadata:
  name: app-with-sidecar
spec:
  containers:
    - name: app
      image: myapp:v1.2.0
      ports:
        - containerPort: 8080
      volumeMounts:
        - name: logs
          mountPath: /var/log/app

    - name: log-collector
      image: fluentd:v1.16
      volumeMounts:
        - name: logs
          mountPath: /var/log/app
          readOnly: true

  volumes:
    - name: logs
      emptyDir: {}

Init Containers

# Run setup tasks before main container starts
apiVersion: apps/v1
kind: Deployment
metadata:
  name: api-server
spec:
  replicas: 3
  template:
    spec:
      initContainers:
        # Wait for database to be ready
        - name: wait-for-db
          image: busybox:1.36
          command: ['sh', '-c', 'until nc -z postgres-svc 5432; do sleep 2; done']

        # Run database migrations
        - name: run-migrations
          image: myapp:v1.2.0
          command: ['npx', 'prisma', 'migrate', 'deploy']
          envFrom:
            - secretRef:
                name: db-credentials

      containers:
        - name: api
          image: myapp:v1.2.0
          ports:
            - containerPort: 3000

Resource Limits and Requests

containers:
  - name: api
    image: myapp:v1.2.0
    resources:
      requests:          # Scheduler uses this to place pods
        cpu: 250m        # 0.25 CPU cores
        memory: 256Mi    # 256 MB
      limits:            # OOM kill / CPU throttle beyond this
        cpu: 500m        # 0.5 CPU cores
        memory: 512Mi    # 512 MB

    # Liveness: restart container if health check fails
    livenessProbe:
      httpGet:
        path: /healthz
        port: 3000
      initialDelaySeconds: 15
      periodSeconds: 10
      failureThreshold: 3

    # Readiness: remove from service if not ready (no traffic)
    readinessProbe:
      httpGet:
        path: /ready
        port: 3000
      initialDelaySeconds: 5
      periodSeconds: 5

    # Startup: disable liveness/readiness until app starts
    startupProbe:
      httpGet:
        path: /healthz
        port: 3000
      failureThreshold: 30    # 30 * 10s = 5 min max startup
      periodSeconds: 10

ConfigMap and Secrets

# ConfigMap for non-sensitive config
apiVersion: v1
kind: ConfigMap
metadata:
  name: app-config
data:
  LOG_LEVEL: "info"
  MAX_CONNECTIONS: "100"
  FEATURE_NEW_UI: "true"

---
# Secret for sensitive data (base64 encoded, use sealed-secrets in prod)
apiVersion: v1
kind: Secret
metadata:
  name: db-credentials
type: Opaque
stringData:        # stringData auto-encodes to base64
  DATABASE_URL: "postgresql://user:pass@postgres:5432/mydb"
  JWT_SECRET: "super-secret-key"

---
# Mount in deployment
spec:
  containers:
    - name: api
      envFrom:
        - configMapRef:
            name: app-config
        - secretRef:
            name: db-credentials

Rolling Update Strategy

apiVersion: apps/v1
kind: Deployment
metadata:
  name: api-server
spec:
  replicas: 4
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1          # At most 5 pods during update (4+1)
      maxUnavailable: 0    # All 4 must stay available (zero downtime)

  template:
    spec:
      terminationGracePeriodSeconds: 30

      containers:
        - name: api
          image: myapp:v1.2.0
          lifecycle:
            preStop:
              exec:
                # Allow in-flight requests to complete
                command: ["/bin/sh", "-c", "sleep 5"]

Horizontal Pod Autoscaler

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: api-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: api-server
  minReplicas: 2
  maxReplicas: 20
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70    # Scale up when CPU > 70%
    - type: Resource
      resource:
        name: memory
        target:
          type: Utilization
          averageUtilization: 80
  behavior:
    scaleDown:
      stabilizationWindowSeconds: 300   # Wait 5 min before scaling down
      policies:
        - type: Percent
          value: 25                     # Max 25% reduction per period
          periodSeconds: 60

Network Policy

# Only allow traffic from specific namespaces/pods
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: api-network-policy
spec:
  podSelector:
    matchLabels:
      app: api-server
  policyTypes:
    - Ingress
    - Egress
  ingress:
    - from:
        - namespaceSelector:
            matchLabels:
              env: production
        - podSelector:
            matchLabels:
              role: frontend
      ports:
        - port: 3000
  egress:
    - to:
        - podSelector:
            matchLabels:
              app: postgres
      ports:
        - port: 5432

Checklist

  • [ ] Resource requests AND limits set for every container
  • [ ] Liveness, readiness, and startup probes configured
  • [ ] Rolling update with maxUnavailable: 0 for zero-downtime deploys
  • [ ] preStop hook with sleep for graceful connection draining
  • [ ] Pod Disruption Budget (minAvailable: 50%) for maintenance windows
  • [ ] Network policies restrict ingress/egress to required paths only
  • [ ] Secrets managed via sealed-secrets or external-secrets, not plain YAML
  • [ ] HPA configured with scale-down stabilization window

Anti-Patterns

  • No resource limits: single pod can starve the entire node
  • Liveness probe hitting a heavy endpoint: cascading restarts under load
  • Using latest tag: no rollback capability, unpredictable deployments
  • Storing secrets in ConfigMaps: no encryption at rest
  • Single replica for stateful services: no availability during updates
  • Missing PodDisruptionBudget: node drain kills all pods simultaneously

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How to use it

Copy the folder

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