DevOps Pipelines: From Code to Deploy
· By Saurabh Editorial · DevOps
Design reliable CI/CD pipelines that ship code safely from commit to production.
Why CI/CD?
The merge-to-deploy flow
Branching strategy
What runs in the pipeline
Build once, promote everywhere
Deployment strategies
Popular tools
Continuous Integration catches bugs the moment they enter the codebase. Continuous Delivery ensures every commit can ship to production safely. Together they turn deploys from a quarterly event into a daily non-event.
Never rebuild between environments. Build a single Docker image (or JAR) on merge and promote that exact artifact through staging to production. Environment differences live in config, not in builds.
- Developer opens a pull request from a feature branch.
- CI runs: lint, type-check, unit tests, security scan.
- Reviewer approves; PR merges into main.
- Pipeline builds an artifact (JAR, image, bundle) tagged by commit SHA.
- Artifact is pushed to a registry.
- Deploy stage promotes through dev → staging → prod with gates.
- Smoke tests and health checks confirm success or trigger rollback.
- Static checks — lint, formatters, type checks.
- Unit and integration tests — fail fast on red.
- Security — SAST, secret scan, dependency audit.
- Build — produce a single, immutable artifact.
- Deploy — apply Infrastructure-as-Code and ship the artifact.
- Verify — smoke tests, synthetic monitoring, auto-rollback.
- Rolling — update pods one at a time. Simple, low risk.
- Blue/Green — swap traffic between two identical environments.
- Canary — route 5%, then 25%, then 100% based on metrics.
- Feature flags — ship code dark, enable per-user.
- GitHub Actions, GitLab CI, CircleCI, Jenkins.
- Docker, Buildpacks, Bazel for builds.
- Terraform, Pulumi, Helm for infrastructure.
- ArgoCD, Flux for GitOps deployments.