@tank/docker-production-patterns

To harden a Dockerfile for production, you should use multi-stage builds, enforce non-root execution, apply distroless or read-only root filesystems, and add health checks to secure and stabilize container operations.

The best way to speed up Docker builds safely is using BuildKit cache mounts for dependencies and secret mounts for credentials, ensuring faster layer caching and supply-chain safety without leaking secrets into image layers.

Configuring Docker Compose for production involves using override files for environment-specific settings, defining restart policies, enforcing resource limits, and managing secrets securely via Compose profiles and external secret stores.

Yes, this Docker production workflow supports multi-architecture builds by requiring multi-platform tagging and BuildKit workflows to ensure images run consistently across different hardware architectures.

Handling graceful shutdown and logging in Docker containers requires configuring container lifecycle hooks, implementing proper signal handling, and forwarding logs to observability tools to ensure zero-downtime restarts and reliable monitoring.

Yes, you can use these Docker production patterns with Node.js, Python, Go, Rust, and Java services, as the workflow covers language-specific runtime patterns, Dockerfile best practices, and CI/CD integration across these ecosystems.