Docker in Production — Best Practices and Patterns

An image that runs on a laptop is not the same as one ready for production, where it must survive crashes, restart cleanly, report its own health, shut down gracefully, and never hold its own state hostage. The gap between works-on-my-machine and production-ready is filled by a set of well-established patterns: designing containers to be stateless and disposable, configuring proper restart and health behaviour, handling signals so shutdowns drain in-flight work, and ensuring observability and resource limits are in place. Ignoring these is how teams end up with containers that hang on deploy, lose requests on restart, or cannot be safely replaced. This lesson consolidates the operational disciplines that turn a working image into a dependable production citizen, and they apply whether you run on a single host or a large orchestrator.