Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Overview
Build automated continuous integration and deployment pipelines that test code, build artifacts, run security checks, and deploy to multiple environments with minimal manual intervention.
When to Use
- Automated code testing and quality checks
- Containerized application builds
- Multi-environment deployments
- Release management and versioning
- Automated security scanning
- Performance testing integration
- Artifact management and registry
Quick Start
Minimal working example:
# .github/workflows/deploy.yml
name: Build and Deploy
on:
push:
branches:
- main
- develop
pull_request:
branches:
- main
workflow_dispatch:
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
node-version: [18.x, 20.x]
steps:
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| GitHub Actions Workflow | GitHub Actions Workflow |
| GitLab CI Pipeline | GitLab CI Pipeline |
| Jenkins Pipeline | Jenkins Pipeline |
| CI/CD Script | CI/CD Script |
Best Practices
✅ DO
- Fail fast with early validation
- Run tests in parallel when possible
- Use caching for dependencies
- Implement proper secret management
- Gate production deployments with approval
- Monitor and alert on pipeline failures
- Use consistent environment configuration
- Implement infrastructure as code
❌ DON'T
- Store credentials in pipeline configuration
- Deploy without automated tests
- Skip security scanning
- Allow long-running pipelines
- Mix staging and production pipelines
- Ignore test failures
- Deploy directly to main branch
- Skip health checks after deployment