CI/CD stands for Continuous Integration and Continuous Deployment (or Delivery). It's a set of automated practices that enable development teams to deliver code changes more frequently and reliably.
Continuous Integration (CI)
What it is: Developers merge code changes into a shared repository frequently, with each change automatically built and tested.
The process:
- Developer pushes code
- CI system automatically:
- Builds the code
- Runs tests
- Reports results
- If anything fails, the team is notified immediately
Benefits:
- Catch bugs early
- Prevent integration nightmares
- Always have working code
Continuous Deployment (CD)
What it is: Every code change that passes tests is automatically deployed to production.
Continuous Delivery vs. Continuous Deployment:
- Delivery: Automated up to staging; manual approval for production
- Deployment: Fully automated, including production
The CI/CD Pipeline
A typical pipeline:
Code Push → Build → Test → Review → Deploy to Staging → Deploy to Production
Stages
1. Source Code pushed to repository triggers the pipeline.
2. Build Compile code, install dependencies, create artifacts.
3. Test
- Unit tests
- Integration tests
- End-to-end tests
- Security scans
- Linting/code quality
4. Deploy to Staging Release to a test environment.
5. Deploy to Production Release to live users (automatic or manual approval).
CI/CD Tools
Popular Platforms
- GitHub Actions: Built into GitHub, generous free tier
- GitLab CI: Built into GitLab
- CircleCI: Cloud-based, powerful
- Jenkins: Self-hosted, highly customizable
- Travis CI: Simple, GitHub-integrated
Cloud Provider Options
- AWS CodePipeline
- Azure DevOps
- Google Cloud Build
Example: GitHub Actions
name: CI
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@v3
- run: npm install
- run: npm test
- run: npm run build
CI/CD Best Practices
Fast Feedback
Keep pipelines quick. Slow pipelines slow everyone down.
Test Everything
Automated tests are the backbone of CI/CD confidence.
Small, Frequent Changes
Many small changes are safer than rare large ones.
Treat Pipeline as Code
Version control your pipeline configuration.
Monitor and Alert
Know immediately when things break.
Feature Flags
Deploy code without enabling features, then enable gradually.