Git to Production on a Managed Platform: Builds and Configuration for Zero-Downtime Releases

Production-grade Git deployments use automated pipelines that build immutable artifacts from a designated branch, separate build and start commands, externalize configuration through environment variables, and prevent traffic from reaching new versions until strict readiness checks succeed. The seven-step workflow described includes connecting a repository, configuring build and runtime commands, managing secrets, running backward-compatible database migrations before release, adding health checks for zero-downtime routing, creating full-stack pull-request preview environments, and regularly rehearsing rollbacks. It emphasizes that rollbacks restore prior application artifacts and selected deployment settings but do not undo database or persistent-disk changes, making expand-migrate-contract database practices and configuration recovery essential. As systems grow, infrastructure-as-code tools such as Render Blueprints can version services, databases, deployment settings, and environment variables alongside application code for review through pull requests. The same delivery principles apply across native runtimes including Node.js, Python, Ruby, Go, Rust, and Elixir, as well as Docker-based deployments for other stacks.

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