Why Do You Need a CI/CD Pipeline?
If your deployment process involves someone SSH-ing into a server and running commands manually — every deployment is a risk. Forgotten steps, drifting configurations, human errors.
A CI/CD pipeline automates the entire flow from code to production. Every deployment becomes identical, repeatable, and safe.
The Five Layers of a CI/CD Pipeline
1. Source Control
Git with a branching strategy (trunk-based development recommended), PR reviews, and protected main branch.
2. Continuous Integration
Automated on every PR: build, unit tests, integration tests, linting, security scanning (Dependabot, Trivy, GitLeaks).
3. Artifact Management
Container image push to a registry (ECR, GCR, Harbor), versioned with git SHA or semantic versioning, optionally signed.
4. Continuous Delivery
Push-based: CI pipeline deploys directly. Simple but requires cluster access. Pull-based (GitOps): ArgoCD watches the GitOps repo and syncs automatically. More secure.
If you’re on Kubernetes, GitOps with ArgoCD is the clear winner.
5. Environment Promotion
dev → staging → production with clear promotion rules: auto-deploy to dev, automated E2E tests on staging, manual approval for production (until the pipeline is mature enough for full automation).
Common Mistakes
- Over-engineering from day one — start simple: build, test, deploy
- No rollback plan — GitOps makes this a git revert; define it upfront for push-based
- Slow pipeline — if it takes 30+ minutes, optimize with caching and parallelization
- Secrets in code — never. Use GitHub Secrets, Vault, or AWS Secrets Manager
Summary
A good CI/CD pipeline isn’t a luxury — it’s a necessity. Start simple, measure results, iterate. If you need help designing or implementing your CI/CD pipeline — let’s talk. First consultation is free.