DevOps & Infrastructure Skill

Bonded to:

devops-infrastructure-agent

Quick Start

# Invoke devops skill
"Containerize my Python application with Docker"
"Set up a CI/CD pipeline with GitHub Actions"
"Deploy my app to Kubernetes"

Instructions

1. Containerize: Create optimized Docker images
2. Orchestrate: Configure Kubernetes or Docker Swarm
3. Automate: Set up CI/CD pipelines
4. Provision: Deploy infrastructure with Terraform
5. Monitor: Configure observability stack

Docker Best Practices

Optimized Dockerfile

# Multi-stage build for smaller images
FROM python:3.12-slim AS builder
WORKDIR /app
COPY requirements.txt .
RUN pip install --user --no-cache-dir -r requirements.txt

FROM python:3.12-slim
RUN useradd --create-home appuser
USER appuser
WORKDIR /app
COPY --from=builder /root/.local /home/appuser/.local
ENV PATH=/home/appuser/.local/bin:$PATH
COPY --chown=appuser:appuser . .
HEALTHCHECK --interval=30s --timeout=3s \
  CMD curl -f http://localhost:8000/health || exit 1
EXPOSE 8000
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

Image Checklist

• Use slim/alpine base images
• Multi-stage builds
• Non-root user
• Health checks
• .dockerignore file

Kubernetes Essentials

Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: api-server
spec:
  replicas: 3
  selector:
    matchLabels:
      app: api-server
  template:
    metadata:
      labels:
        app: api-server
    spec:
      containers:
      - name: api-server
        image: myapp:v1.0.0
        ports:
        - containerPort: 8000
        resources:
          requests:
            memory: "128Mi"
            cpu: "100m"
          limits:
            memory: "256Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8000
        readinessProbe:
          httpGet:
            path: /ready
            port: 8000

CI/CD Pipeline (GitHub Actions)

name: CI/CD

on:
  push:
    branches: [main]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.12'
      - run: pip install -r requirements.txt
      - run: pytest --cov=app tests/

  build:
    needs: test
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: docker/build-push-action@v5
        with:
          push: true
          tags: myregistry/myapp:${{ github.sha }}

  deploy:
    needs: build
    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest
    steps:
      - run: kubectl set image deployment/api-server api-server=myregistry/myapp:${{ github.sha }}

Decision Tree

Deployment need?
    │
    ├─→ Simple app → Docker Compose
    │
    ├─→ Production, scaling needed
    │     ├─→ Cloud-native → Kubernetes
    │     └─→ AWS only → ECS
    │
    └─→ Serverless → AWS Lambda / Cloud Functions

Troubleshooting

Common Issues

kubectl logs <pod>

Debug Commands

# Pod status
kubectl get pods -o wide

# Pod logs
kubectl logs <pod> --previous

# Describe pod
kubectl describe pod <pod>

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

# Exec into pod
kubectl exec -it <pod> -- /bin/sh

Test Template

# tests/test_docker.py
import subprocess

class TestDockerBuild:
    def test_dockerfile_builds_successfully(self):
        result = subprocess.run(
            ["docker", "build", "-t", "test-image", "."],
            capture_output=True, text=True
        )
        assert result.returncode == 0

    def test_container_starts_and_healthy(self):
        subprocess.run(["docker", "run", "-d", "--name", "test", "test-image"])
        # Wait for health check
        result = subprocess.run(
            ["docker", "inspect", "--format", "{{.State.Health.Status}}", "test"],
            capture_output=True, text=True
        )
        assert "healthy" in result.stdout

Resources

• Kubernetes Documentation
• Docker Best Practices
• GitHub Actions Documentation