Ops Docker Optimization

Techniques for creating tiny, fast, and secure production-grade images.

jcorpac 60c18a3 774 B Updated

File contents

Docker Optimization

Production images should be minimal, fast to pull, and secure.

Multi-stage Builds

  • Pattern: Use a heavy build image (with compilers/tools) and copy only the compiled artifacts to a tiny runtime image (e.g., alpine).
  • Benefit: Reduces image size by up to 90% and removes build-time vulnerabilities.

Layer Reduction

  • Chaining: Chain apt-get install commands and clean up in the same RUN layer to avoid bloated images.

Best Practices

  • Alpine & Distroless: Use the smallest possible OS base.
  • Cache Mounting: Use --mount=type=cache in BuildKit to persist pip/npm caches across builds.

jcorpac/ai-skills-library/tree/main/ops/ops-docker-optimization commit 60c18a3554

Frequently asked questions

npx skillmds@latest add jcorpac/ops-docker-optimization