Docker Best Practices for Production: What Most Tutorials Don't Tell You
Getting containers into production requires more than a working Dockerfile. Here are the production-readiness practices that separate demo containers from deployment-grade ones.
Getting a containerized application to work in development is easy. Getting it production-ready β minimal, secure, efficient, and properly structured β requires deliberate choices that most tutorials skip.
Image Size and Base Image Selection
Large images increase pull times, increase attack surface, and waste registry storage. Start from small base images:
alpinefor simple applications β a minimal Linux distribution at ~5MBdistrolessimages (from Google) contain only the application runtime with no shell, package manager, or other tooling β dramatically reduced attack surface
Multi-stage builds are essential for compiled languages: build in a full development image, copy the compiled binary into a minimal runtime image.
Security Hardening
Non-root user: Containers running as root are a privilege escalation risk. Add USER nonroot in your Dockerfile. Most official base images have a nonroot user available.
Read-only filesystem: Set the container root filesystem to read-only. Explicitly mount writable volumes only for directories that need write access (logs, temporary files).
Minimal capabilities: Docker grants a default set of Linux capabilities to containers. Drop all of them and add back only whatβs needed: --cap-drop ALL --cap-add NET_BIND_SERVICE for services that only need to bind ports.
Build Reproducibility
Pin base image versions with digests, not tags. FROM node:20.11.1-alpine3.19@sha256:abc123... is reproducible. FROM node:lts is not β the same tag can refer to different images over time. Pin package versions using lock files committed to version control.