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k8s-manifest-generator

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

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Atualizado há 6 meses

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Kubernetes Manifest Generator

Step-by-step guidance for creating production-ready Kubernetes manifests including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims.

Purpose

This skill provides comprehensive guidance for generating well-structured, secure, and production-ready Kubernetes manifests following cloud-native best practices and Kubernetes conventions.

When to Use This Skill

Use this skill when you need to:

  • Create new Kubernetes Deployment manifests
  • Define Service resources for network connectivity
  • Generate ConfigMap and Secret resources for configuration management
  • Create PersistentVolumeClaim manifests for stateful workloads
  • Follow Kubernetes best practices and naming conventions
  • Implement resource limits, health checks, and security contexts
  • Design manifests for multi-environment deployments

Step-by-Step Workflow

1. Gather Requirements

Understand the workload:

  • Application type (stateless/stateful)
  • Container image and version
  • Environment variables and configuration needs
  • Storage requirements
  • Network exposure requirements (internal/external)
  • Resource requirements (CPU, memory)
  • Scaling requirements
  • Health check endpoints

Questions to ask:

  • What is the application name and purpose?
  • What container image and tag will be used?
  • Does the application need persistent storage?
  • What ports does the application expose?
  • Are there any secrets or configuration files needed?
  • What are the CPU and memory requirements?
  • Does the application need to be exposed externally?

2. Create Deployment Manifest

Follow this structure:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: <app-name>
  namespace: <namespace>
  labels:
    app: <app-name>
    version: <version>
spec:
  replicas: 3
  selector:
    matchLabels:
      app: <app-name>
  template:
    metadata:
      labels:
        app: <app-name>
        version: <version>
    spec:
      containers:
      - name: <container-name>
        image: <image>:<tag>
        ports:
        - containerPort: <port>
          name: http
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: http
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: http
          initialDelaySeconds: 5
          periodSeconds: 5
        env:
        - name: ENV_VAR
          value: "value"
        envFrom:
        - configMapRef:
            name: <app-name>-config
        - secretRef:
            name: <app-name>-secret

Best practices to apply:

  • Always set resource requests and limits
  • Implement both liveness and readiness probes
  • Use specific image tags (never :latest)
  • Apply security context for non-root users
  • Use labels for organization and selection
  • Set appropriate replica count based on availability needs

Reference: See references/deployment-spec.md for detailed deployment options

3. Create Service Manifest

Choose the appropriate Service type:

ClusterIP (internal only):

apiVersion: v1
kind: Service
metadata:
  name: <app-name>
  namespace: <namespace>
  labels:
    app: <app-name>
spec:
  type: ClusterIP
  selector:
    app: <app-name>
  ports:
  - name: http
    port: 80
    targetPort: 8080
    protocol: TCP

LoadBalancer (external access):

apiVersion: v1
kind: Service
metadata:
  name: <app-name>
  namespace: <namespace>
  labels:
    app: <app-name>
  annotations:
    service.beta.kubernetes.io/aws-load-balancer-type: nlb
spec:
  type: LoadBalancer
  selector:
    app: <app-name>
  ports:
  - name: http
    port: 80
    targetPort: 8080
    protocol: TCP

Reference: See references/service-spec.md for service types and networking

4. Create ConfigMap

For application configuration:

apiVersion: v1
kind: ConfigMap
metadata:
  name: <app-name>-config
  namespace: <namespace>
data:
  APP_MODE: production
  LOG_LEVEL: info
  DATABASE_HOST: db.example.com
  # For config files
  app.properties: |
    server.port=8080
    server.host=0.0.0.0
    logging.level=INFO

Best practices:

  • Use ConfigMaps for non-sensitive data only
  • Organize related configuration together
  • Use meaningful names for keys
  • Consider using one ConfigMap per component
  • Version ConfigMaps when making changes

Reference: See assets/configmap-template.yaml for examples

5. Create Secret

For sensitive data:

apiVersion: v1
kind: Secret
metadata:
  name: <app-name>-secret
  namespace: <namespace>
type: Opaque
stringData:
  DATABASE_PASSWORD: "changeme"
  API_KEY: "secret-api-key"
  # For certificate files
  tls.crt: |
    -----BEGIN CERTIFICATE-----
    ...
    -----END CERTIFICATE-----
  tls.key: |
    -----BEGIN PRIVATE KEY-----
    ...
    -----END PRIVATE KEY-----

Security considerations:

  • Never commit secrets to Git in plain text
  • Use Sealed Secrets, External Secrets Operator, or Vault
  • Rotate secrets regularly
  • Use RBAC to limit secret access
  • Consider using Secret type: kubernetes.io/tls for TLS secrets

6. Create PersistentVolumeClaim (if needed)

For stateful applications:

apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: <app-name>-data
  namespace: <namespace>
spec:
  accessModes:
  - ReadWriteOnce
  storageClassName: gp3
  resources:
    requests:
      storage: 10Gi

Mount in Deployment:

spec:
  template:
    spec:
      containers:
      - name: app
        volumeMounts:
        - name: data
          mountPath: /var/lib/app
      volumes:
      - name: data
        persistentVolumeClaim:
          claimName: <app-name>-data

Storage considerations:

  • Choose appropriate StorageClass for performance needs
  • Use ReadWriteOnce for single-pod access
  • Use ReadWriteMany for multi-pod shared storage
  • Consider backup strategies
  • Set appropriate retention policies

7. Apply Security Best Practices

Add security context to Deployment:

spec:
  template:
    spec:
      securityContext:
        runAsNonRoot: true
        runAsUser: 1000
        fsGroup: 1000
        seccompProfile:
          type: RuntimeDefault
      containers:
      - name: app
        securityContext:
          allowPrivilegeEscalation: false
          readOnlyRootFilesystem: true
          capabilities:
            drop:
            - ALL

Security checklist:

  • [ ] Run as non-root user
  • [ ] Drop all capabilities
  • [ ] Use read-only root filesystem
  • [ ] Disable privilege escalation
  • [ ] Set seccomp profile
  • [ ] Use Pod Security Standards

8. Add Labels and Annotations

Standard labels (recommended):

metadata:
  labels:
    app.kubernetes.io/name: <app-name>
    app.kubernetes.io/instance: <instance-name>
    app.kubernetes.io/version: "1.0.0"
    app.kubernetes.io/component: backend
    app.kubernetes.io/part-of: <system-name>
    app.kubernetes.io/managed-by: kubectl

Useful annotations:

metadata:
  annotations:
    description: "Application description"
    contact: "team@example.com"
    prometheus.io/scrape: "true"
    prometheus.io/port: "9090"
    prometheus.io/path: "/metrics"

9. Organize Multi-Resource Manifests

File organization options:

Option 1: Single file with --- separator

# app-name.yaml
---
apiVersion: v1
kind: ConfigMap
...
---
apiVersion: v1
kind: Secret
...
---
apiVersion: apps/v1
kind: Deployment
...
---
apiVersion: v1
kind: Service
...

Option 2: Separate files

manifests/
├── configmap.yaml
├── secret.yaml
├── deployment.yaml
├── service.yaml
└── pvc.yaml

Option 3: Kustomize structure

base/
├── kustomization.yaml
├── deployment.yaml
├── service.yaml
└── configmap.yaml
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