docker-optimization

Multi-stage builds separate compilation from runtime, removing build dependencies from the final image. Define a builder stage to compile dependencies, then copy only artifacts into a slim or distroless runtime stage, achieving 70%+ size reduction.

Alpine and slim reduce bloat but retain shells and package managers. Distroless removes all non-essential binaries, offering the smallest footprint and highest security—ideal for production Python applications with no shell access needed.

Trivy scans Docker images for CVEs and misconfigurations. Integrate it into your CI/CD pipeline post-build to detect vulnerabilities in dependencies and base layers before deployment.

Layer caching reuses unchanged steps; order Dockerfile commands from least to most frequently changing. Use .dockerignore to exclude unnecessary files from the build context, reducing transfer size and build time.

The pip cache persists in layers, increasing image size unnecessarily. Adding --no-cache-dir prevents caching pip artifacts, and combining apt-get clean in the same RUN command removes package manager caches in a single layer.

Yes. Apply multi-stage builds, layer caching, and .dockerignore optimization to all environments. Use distroless and security scanning in production; development images can retain shells for debugging while maintaining the same build efficiency.