Docker
Docker has fundamentally changed how software is built, shipped, and run. By packaging an application and all its dependencies into a portable container image, Docker eliminates “works on my machine” problems and makes deployments reproducible, fast, and reliable.
Why We Container Everything
- Environment consistency, The exact same image runs on a developer’s laptop, in CI, on staging, and in production. No drift, no surprises.
- Dependency isolation, Each service carries its own runtime, libraries, and configuration, eliminating conflicts between projects or between versions of the same dependency.
- Fast, reproducible builds, Docker’s layer cache makes incremental builds lightning-fast. Combined with a well-structured Dockerfile, build times stay short even as codebases grow.
- Immutable deployments, Tagged images are immutable artefacts. Rollback means pulling a previous tag, not hoping a rollback script works correctly under pressure.
- Local service orchestration, Docker Compose lets every developer spin up a full application stack, app server, database, cache, message queue, with a single command.
Our Docker Best Practices
We write minimal, multi-stage Dockerfiles that produce small, secure images. We start from slim or distroless base images, install only what the application needs, run processes as non-root users, and scan images for vulnerabilities in CI using Trivy or Snyk. Our images are published to container registries with semantic version tags and commit SHA labels for full traceability.
Docker in Our Stack
- Docker Compose for local development environments
- Multi-stage builds for Python, Node.js, and Go applications
- Container image scanning integrated into CI/CD pipelines
- Private registries on ECR, GCR, and Docker Hub
- Kubernetes manifests and Helm charts built around our container images