CI/CD & DevOps Skill

When to use this skill

Use this skill when:

•Creating or updating GitHub Actions workflows
•Building Docker containers
•Setting up deployment pipelines
•Automating releases
•Managing infrastructure as code
•Configuring environments

Paracle CI/CD Structure

code

.github/
├── workflows/
│   ├── ci.yml              # Main CI pipeline
│   ├── release.yml         # Release automation
│   └── deploy.yml          # Deployment
├── actions/                # Custom actions
│   └── setup-python/
└── dependabot.yml          # Dependency updates

docker/
├── Dockerfile.api          # API container
├── Dockerfile.worker       # Worker container
├── docker-compose.yaml     # Local development
└── docker-compose.prod.yaml # Production

GitHub Actions Patterns

Pattern 1: CI Pipeline

yaml

# .github/workflows/ci.yml
name: CI

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

jobs:
  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: ["3.10", "3.11", "3.12"]

    steps:
      - uses: actions/checkout@v4

      - name: Install uv
        uses: astral-sh/setup-uv@v1

      - name: Set up Python ${{ matrix.python-version }}
        run: uv python install ${{ matrix.python-version }}

      - name: Install dependencies
        run: uv sync

      - name: Run linters
        run: |
          uv run ruff check .
          uv run black --check .
          uv run mypy packages/

      - name: Run tests
        run: uv run pytest --cov=packages --cov-report=xml

      - name: Upload coverage
        uses: codecov/codecov-action@v3
        with:
          file: ./coverage.xml

  build:
    needs: test
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Build package
        run: |
          uv build

      - name: Upload artifacts
        uses: actions/upload-artifact@v3
        with:
          name: dist
          path: dist/

Pattern 2: Release Automation

yaml

# .github/workflows/release.yml
name: Release

on:
  push:
    tags:
      - 'v*'

jobs:
  release:
    runs-on: ubuntu-latest
    permissions:
      contents: write

    steps:
      - uses: actions/checkout@v4

      - name: Build package
        run: uv build

      - name: Create Release
        uses: softprops/action-gh-release@v1
        with:
          files: dist/*
          generate_release_notes: true

      - name: Publish to PyPI
        uses: pypa/gh-action-pypi-publish@release/v1
        with:
          password: ${{ secrets.PYPI_API_TOKEN }}

Pattern 3: Docker Build & Push

yaml

# .github/workflows/docker.yml
name: Docker

on:
  push:
    branches: [main]
    tags: ['v*']

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4

      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3

      - name: Log in to Container Registry
        uses: docker/login-action@v3
        with:
          registry: ghcr.io
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}

      - name: Extract metadata
        id: meta
        uses: docker/metadata-action@v5
        with:
          images: ghcr.io/${{ github.repository }}
          tags: |
            type=ref,event=branch
            type=semver,pattern={{version}}
            type=semver,pattern={{major}}.{{minor}}

      - name: Build and push
        uses: docker/build-push-action@v5
        with:
          context: .
          file: docker/Dockerfile.api
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

Docker Patterns

Pattern 1: Multi-Stage Dockerfile

dockerfile

# docker/Dockerfile.api
FROM python:3.11-slim as builder

# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv

# Set working directory
WORKDIR /app

# Copy dependency files
COPY pyproject.toml uv.lock ./

# Install dependencies
RUN uv sync --frozen --no-dev

# Production stage
FROM python:3.11-slim

WORKDIR /app

# Copy virtual environment from builder
COPY --from=builder /app/.venv /app/.venv

# Copy application code
COPY packages/ ./packages/

# Set environment
ENV PATH="/app/.venv/bin:$PATH"
ENV PYTHONPATH="/app"

# Expose port
EXPOSE 8000

# Run application
CMD ["uvicorn", "paracle_api.main:app", "--host", "0.0.0.0", "--port", "8000"]

Pattern 2: Docker Compose

yaml

# docker/docker-compose.yaml
version: '3.8'

services:
  api:
    build:
      context: ..
      dockerfile: docker/Dockerfile.api
    ports:
      - "8000:8000"
    environment:
      - DATABASE_URL=sqlite:///data/paracle.db
      - LOG_LEVEL=info
    volumes:
      - api-data:/app/data
    depends_on:
      - redis
    networks:
      - paracle

  worker:
    build:
      context: ..
      dockerfile: docker/Dockerfile.worker
    environment:
      - REDIS_URL=redis://redis:6379
    depends_on:
      - redis
    networks:
      - paracle

  redis:
    image: redis:7-alpine
    ports:
      - "6379:6379"
    volumes:
      - redis-data:/data
    networks:
      - paracle

volumes:
  api-data:
  redis-data:

networks:
  paracle:
    driver: bridge

Deployment Patterns

Pattern 1: Environment Configuration

yaml

# .parac/deployment/environments/production.yaml
environment: production

api:
  replicas: 3
  resources:
    limits:
      cpu: "1000m"
      memory: "1Gi"
    requests:
      cpu: "500m"
      memory: "512Mi"

database:
  url: ${DATABASE_URL}
  pool_size: 10

monitoring:
  enabled: true
  metrics_port: 9090

Pattern 2: Health Checks

python

# packages/paracle_api/health.py
from fastapi import APIRouter, status
from pydantic import BaseModel

router = APIRouter(tags=["health"])

class HealthResponse(BaseModel):
    status: str
    version: str
    database: str

@router.get("/health", response_model=HealthResponse)
async def health_check():
    """Health check endpoint for monitoring."""
    return HealthResponse(
        status="healthy",
        version="0.1.0",
        database="connected",
    )

@router.get("/ready")
async def readiness_check():
    """Readiness check for load balancers."""
    # Check dependencies (database, redis, etc.)
    return {"ready": True}

Monitoring & Logging

Pattern 1: Structured Logging

python

# packages/paracle_core/logging/structured.py
import logging
import json
from datetime import datetime

class JSONFormatter(logging.Formatter):
    """Format logs as JSON for aggregation."""

    def format(self, record):
        log_data = {
            "timestamp": datetime.utcnow().isoformat(),
            "level": record.levelname,
            "logger": record.name,
            "message": record.getMessage(),
            "module": record.module,
            "function": record.funcName,
        }

        if record.exc_info:
            log_data["exception"] = self.formatException(record.exc_info)

        return json.dumps(log_data)

# Usage
handler = logging.StreamHandler()
handler.setFormatter(JSONFormatter())
logger = logging.getLogger("paracle")
logger.addHandler(handler)

Best Practices

1. Secrets Management

yaml

# ❌ Bad: Hardcoded secrets
env:
  API_KEY: "sk-abc123"

# ✅ Good: GitHub Secrets
env:
  API_KEY: ${{ secrets.API_KEY }}

2. Caching

yaml

# Cache dependencies
- name: Cache uv packages
  uses: actions/cache@v3
  with:
    path: ~/.cache/uv
    key: ${{ runner.os }}-uv-${{ hashFiles('**/uv.lock') }}

3. Matrix Testing

yaml

strategy:
  matrix:
    python-version: ["3.10", "3.11", "3.12"]
    os: [ubuntu-latest, macos-latest, windows-latest]

Common Pitfalls

❌ Don't:

•Commit secrets to repository
•Run CI on every file change
•Use latest tags in production
•Skip health checks
•Ignore resource limits

✅ Do:

•Use secrets management
•Optimize CI with caching
•Pin versions
•Implement health endpoints
•Set resource limits

Resources

•GitHub Actions Docs
•Docker Best Practices
•12-Factor App
•Paracle CI/CD: .github/workflows/