Ship code faster with automated CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, CircleCI, and ArgoCD for continuous delivery to production.
AUTOMATE YOUR PIPELINENative CI/CD for GitHub repositories with unlimited public repos and generous free tier.
Open-source automation server with extensive plugin ecosystem and self-hosted control.
Integrated CI/CD within GitLab with Auto DevOps and comprehensive features.
Fast, cloud-native CI/CD with Docker layer caching and parallelization.
GitOps continuous delivery for Kubernetes with declarative setup and automated sync.
Microsoft comprehensive DevOps platform with boards, repos, pipelines, and artifacts.
Git commit triggers pipeline automatically. Branching strategy with main, develop, and feature branches for controlled releases.
Compile code, install dependencies, build Docker images with layer caching and multi-stage builds for optimization.
Run unit tests with code coverage reporting. Fail pipeline if coverage drops below threshold or tests fail.
Code quality checks with SonarQube, linting with ESLint/Pylint, and security scanning with CodeQL/Semgrep.
Run integration tests against databases, APIs, and external services in isolated test environments.
Scan Docker images for vulnerabilities with Trivy/Snyk. Fail pipeline for critical/high severity issues.
Deploy to staging environment automatically. Run smoke tests and end-to-end tests for validation.
Deploy to production with manual approval, blue-green strategy, automated health checks, and rollback on failure.
Automate builds, tests, and deployments directly from GitHub with matrix builds, reusable workflows, and environment protection.
Test across multiple Node/Python versions and OS platforms in parallel with single workflow definition.
Create organization-wide workflow templates that teams can reference and inherit for consistency.
Require manual approvals, delay deployments, and restrict environments to specific branches.
Store Docker images, npm packages, and Maven artifacts alongside your code with automatic authentication.
name: Production Deploy
on:
push:
branches: [main]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: actions/setup-node@v3
with:
node-version: '18'
cache: 'npm'
- run: npm ci
- run: npm test
- run: npm run lint
build:
needs: test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- uses: docker/setup-buildx-action@v2
- uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- uses: docker/build-push-action@v4
with:
push: true
tags: ghcr.io/org/app:latest
cache-from: type=gha
cache-to: type=gha,mode=max
deploy:
needs: build
runs-on: ubuntu-latest
environment: production
steps:
- uses: actions/checkout@v3
- uses: azure/k8s-set-context@v3
with:
method: kubeconfig
kubeconfig: ${{ secrets.KUBE_CONFIG }}
- run: |
kubectl set image deployment/app \
app=ghcr.io/org/app:latest
kubectl rollout status deployment/appRun two production environments (blue and green). Switch traffic from blue to green after validation. Instant rollback by switching back to blue.
Route 5-10% of traffic to new version. Monitor error rates and latency. Gradually increase traffic or rollback if metrics degrade.
Update instances gradually with configurable batch size. Zero downtime with load balancer routing to healthy instances only.
Deploy code to production with features disabled. Enable features gradually for specific users or regions without redeployment.
Catch bugs, vulnerabilities, and quality issues before they reach production with automated security scanning and quality gates.
Enforce minimum code coverage percentage (e.g., 80%). Fail pipeline if coverage drops below threshold to maintain test quality.
Scan dependencies with Snyk/Dependabot. Scan Docker images with Trivy. Fail pipeline for critical vulnerabilities.
SonarQube quality gates for code smells, bugs, and maintainability. Block merges that decrease code quality score.
Run load tests with k6 or JMeter. Fail pipeline if response time exceeds SLA or throughput decreases significantly.
Automated accessibility testing with axe or pa11y. Ensure WCAG 2.1 compliance before production deployment.
Deploy to production multiple times per day with confidence. Reduce time from code commit to production from days to minutes.
Catch bugs early with automated testing. Security scans prevent vulnerabilities from reaching production environments.
Eliminate manual deployment errors. Every deployment follows the same tested process with automated validation.
Rollback failed deployments instantly with one click. Previous versions remain available for immediate restoration.
Developers, QA, and DevOps work from same pipeline. Visibility into build status, test results, and deployment history.
Complete audit trail of who deployed what and when. Automated compliance checks ensure regulatory requirements are met.
Let's build a CI/CD pipeline that ships code to production safely and automatically.
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