CI/CD Pipeline Setup
Set up automated CI/CD pipelines for testing, building, and deploying applications with GitHub Actions and what works.
Overview
Continuous Integration and Continuous Deployment (CI/CD) pipelines automate the journey from code commit to production deployment. A well-configured pipeline runs tests, builds artifacts, scans for vulnerabilities, and deploys to staging or production with zero manual intervention. This eliminates human error, speeds up releases, and provides fast feedback to developers.
When to Use
Use this resource when:
- Setting up a new project and want automated testing from day one. See Unit Testing for test fundamentals.
- Migrating from manual deployments to automated releases. See GitHub Actions for workflow automation.
- Adding security scanning, linting, or code quality gates to your workflow. See Container Security Scanning for CI security gates.
- Building a multi-environment deployment strategy (dev → staging → prod). See Blue-Green Deployment for zero-downtime releases.
Solution
GitHub Actions Workflow
# .github/workflows/deploy.yml
name: CI/CD Pipeline
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'npm'
- run: npm ci
- run: npm run lint
- run: npm run test:ci
- run: npm run build
security:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: npm audit --audit-level=moderate
deploy:
needs: [test, security]
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- uses: actions/checkout@v4
- name: Deploy to staging
run: |
npm run build
npm run deploy:staging
GitLab CI Configuration
# .gitlab-ci.yml
stages:
- test
- build
- deploy
variables:
NODE_VERSION: "20"
test:
stage: test
image: node:$NODE_VERSION
script:
- npm ci
- npm run test:ci
coverage: '/All files[^|]\|[^|]\s+([\d.]+)/'
deploy_prod:
stage: deploy
script:
- npm run deploy:production
only:
- main
environment:
name: production
url: https://api.example.com
Explanation
A production CI/CD pipeline typically includes:
- Trigger: Push, pull request, or scheduled cron job
- Build: Compile, bundle, and create artifacts
- Test: Unit tests, integration tests, linting, type checking
- Security: Dependency audit, SAST, secret scanning
- Deploy: Push to staging, run smoke tests, promote to production
- Notify: Slack, email, or incident management system
Deployment strategies:
- Basic: Direct deploy to production
- Blue-Green: Two identical environments; switch traffic instantly
- Canary: Route 1% traffic to new version; increase gradually
- Rolling: Replace instances one by one with zero downtime
Variants
| Platform | Best For | Notes |
|---|---|---|
| GitHub Actions | Open source, GitHub repos | Free for public repos; marketplace of actions |
| GitLab CI | GitLab-hosted projects | Built-in; great for monorepos |
| CircleCI | Fast parallel testing | Excellent Docker support |
| Jenkins | On-premise, custom plugins | Self-hosted; high maintenance |
| ArgoCD | Kubernetes GitOps | Declarative; syncs cluster to Git state |
What Works
- Fail fast: Run linting and fast unit tests before expensive integration tests
- Parallelize jobs: Split tests by file or module to reduce wall-clock time
- Cache dependencies: Cache node_modules, pip cache, and Docker layers between runs
- Use secrets management: Never commit API keys; use GitHub/GitLab secrets or Vault
- Require reviews for prod: Use branch protection and CODEOWNERS
Common Mistakes
- No artifact promotion: Rebuilding in each stage introduces non-determinism
- Testing only in CI: Developers push broken code and wait for CI feedback
- Secrets in environment variables: Visible in job logs; use masked secrets instead
- No rollback plan: Failed deployments need instant revert via blue-green or previous image
- Ignoring flaky tests: Random failures erode trust in the pipeline
Performance Tips
- Cache aggressively. Cache dependencies, Docker layers, and build outputs:
- uses: actions/cache@v4
with:
path: |
node_modules
.next/cache
key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
- Use conditional jobs. Skip unnecessary jobs based on changed files:
test:
steps:
- uses: dorny/paths-filter@v3
id: changes
with:
filters: |
src:
- 'src/**'
docs:
- 'docs/**'
- if: steps.changes.outputs.src == 'true'
run: npm test
- Use reusable workflows. DRY your pipeline definitions:
# .github/workflows/test.yml (reusable)
on:
workflow_call:
jobs:
test:
runs-on: ubuntu-latest
steps:
- run: npm ci && npm test
# .github/workflows/main.yml
jobs:
test:
uses: ./.github/workflows/test.yml
- Set job timeouts. Prevent stuck jobs from blocking the pipeline:
test:
timeout-minutes: 15
runs-on: ubuntu-latest Frequently Asked Questions
Should I deploy on every commit to main?
Yes for staging. For production, use a manual gate or deploy on tagged releases.
How do I handle database migrations in CI/CD?
Run migrations in a separate job before the deploy. Use backward-compatible migrations to avoid downtime.
Can I use the same pipeline for microservices?
Yes, but use path-based triggers so only affected services build and deploy. Monorepo tools (Nx, Turborepo) help.
Related Resources
CI/CD Pipeline Guide
A practical guide to building CI/CD pipelines with GitHub Actions, testing, deployment strategies, and rollback procedures.
RecipeGitHub Actions CI/CD
How to build and deploy with GitHub Actions using workflows, matrices, caching, and secrets.
RecipeBash Scripting for DevOps Automation and System Tasks
How to write reliable Bash scripts for automating deployments, system monitoring, log rotation, and routine maintenance tasks
RecipeCron Jobs
How to schedule and manage recurring tasks using cron syntax across Linux, Python, and Node.js.
DocAPI Status Page Template
A template for a public API status page that communicates uptime, incidents, and maintenance windows to consumers.
RecipeBackup Rotation Script in Bash
Automated backup with retention policies using bash and find.