If your "CI/CD" pipeline is a hook executing `git pull` on a remote server, you have automated deployment—not continuous integration and delivery.
1. Continuous Integration: Is This Change Safe?
- Automated unit, integration, and end-to-end tests
- Static code analysis and code formatting checks (linting)
- DevSecOps Checks: Vulnerability scanning of dependencies, secret detection in commits, and SAST
- Build verification in isolated ephemeral runners
2. Continuous Delivery: Can We Ship Reliably?
- Build Once, Deploy Many: Create a single immutable artifact (e.g., container image) and promote it through staging and production without rebuilding.
- Automated deployment to staging environments
- Backward-compatible database schema migrations
- Automated post-deploy smoke testing
3. Continuous Deployment: Can We Ship Without Stress?
- Blue/Green or Canary traffic shifting
- Automated Rollbacks: Immediate automated revert if error rates or latency metrics breach thresholds.
- Feature flags separating deployment of code from business release
- Complete audit trail and deployment notifications
What's one thing missing from your pipeline?
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If your pipeline is a script that runs `git pull` on a server, that's automation, not CI/CD. Here's what a real pipeline includes: tests, security scans, canary releases, and automatic rollback. 👇
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#DevSecOps