Reading — step 1 of 5
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~1 min readProduction Concerns
Putting It All Together
Layers:
| Layer | Lesson |
|---|---|
| What is CI | 1 |
| YAML workflows | 2 |
| Matrix builds | 3 |
| Job DAG | 4 |
| Git clone | 5 |
| Step execution | 6 |
| Artifacts | 7 |
| Self-hosted | 8 |
| Secrets | 9 |
Beyond:
- Reusable workflows:
uses: org/repo/.github/workflows/x.yml@v1to share pipelines across repos. - Environments + approvals: prod requires manual click-to-deploy.
- Container jobs:
container: node:20. Each step runs in that container. - Workflow concurrency:
concurrency: deploy-prodprevents overlapping runs. - Reusable actions: write your own. JavaScript, Docker, or composite (multi-step) actions.
- Build matrices conditional on changed files: only run frontend tests if frontend changed.
Real production CI involves:
- Cache strategy (avoid re-downloading deps every time)
- Parallel test sharding (split test suite across N runners)
- Test result reporting (JUnit XML → UI)
- Code coverage tracking
- Performance regression detection
- Deploy approvals + rollback
Where you've seen CI:
- GitHub Actions: ubiquitous now
- GitLab CI: built-in for GitLab repos
- Jenkins: legacy enterprise but still common
- CircleCI / Buildkite / Drone: SaaS variants
- Argo Workflows: Kubernetes-native CI/CD
You now understand the full pipeline.
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