devops

# DevOps & Infrastructure Skill

**Bonded to:** `devops-infrastructure-agent`

---

## Quick Start

```bash
# 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
```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
```yaml
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: /r