CI/CD Integration
Learn how Docker fits into CI/CD pipelines for build, test, scan, push, promote, deploy, and rollback workflows.
Last reviewed: June 2026
🔍 What Is It?
Docker CI/CD integration means using container images as the release artifact.
The pipeline usually handles:
- →Dependency installation
- →Unit and integration tests
- →Image build
- →Image tagging
- →Vulnerability scanning
- →Registry push
- →Deployment metadata
- →Promotion between environments
🎯 Why Do We Need It?
Without Docker, each environment may rebuild or reinstall the application differently. With Docker, the same tested image can be promoted through environments.
That improves traceability, rollback, and confidence in deployments.
🏗️ What Happens in Real Projects?
A common enterprise flow:
- Pull request runs tests
- Main branch builds an image
- Image is tagged with git SHA and semantic version
- Image is scanned
- Image is pushed to a private registry
- Deployment manifest references the image digest
- Release approval promotes the same digest to production
⚙️ How It Works
CI runners use Docker BuildKit or equivalent builders to create images.
Pipelines should avoid rebuilding separately for each environment. Instead, build once and promote the same image with environment-specific configuration injected at deployment time.
💻 Example
GitHub Actions Image Pipeline — A simplified build, test, and push workflow.
🤔 Common Confusions
❓ Should each environment build its own image?
Usually no. Build once, test once, and promote the same immutable image with different runtime configuration.
❓ Should CI push `latest`?
`latest` can be convenient, but releases should also use immutable tags or digests for traceability.
❓ Where should tests run?
Run fast tests before image build when useful, and also test the built image so packaging problems are caught.
🚨 Common Production Issues
**Rebuild per environment** - staging and production run different artifacts.
**No scan gate** - vulnerable images are pushed or deployed automatically.
**Leaky build secrets** - registry or package tokens appear in layers or logs.
**Weak tag strategy** - teams cannot identify which commit is running.
**Slow pipelines** - poor layer caching makes every build reinstall everything.
✅ Best Practices
Build once and promote the same image digest
Tag images with git SHA and release version
Use CI secrets management for registry credentials
Scan images before deployment
Cache Docker layers safely to speed builds
Fail the pipeline on policy violations
Keep environment configuration outside the image
🏛️ Architect's Note
Docker makes CI/CD more honest. The artifact that passed tests can be the artifact that reaches production.
The anti-pattern is rebuilding the image during deployment. That looks automated, but it breaks provenance. Promotion should move a known artifact, not recreate one.
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