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Part of the bootcamp
Deploying twelve-factor apps with FastAPI is one workshop inside Backend Engineer Bootcamp: Go from Zero to Hero.
See the full path with mentor reviews and a portfolio outcome.
Most FastAPI tutorials stop at localhost:8000. This course shows you how to refactor a real service so the same image deploys to any host, swaps providers with one env var, and scales horizontally without surprises.
Engineers are learning here from
Refactor a FastAPI service to all twelve factors so it deploys anywhere, swaps providers by env var, and scales horizontally. Learn codebase discipline, explicit dependencies, config in the environment, stateless processes, port binding, concurrency, dev/prod parity, logs as streams, and the provider pattern.
Refactor a FastAPI service to the twelve-factor methodology and deploy it anywhere.
What you'll ship
What you'll learn
Curriculum
The twelve factors, briefly
Understand why the twelve-factor methodology matters for a FastAPI service and map each factor to a concrete Python or Docker decision.
Codebase, dependencies, config
Track one codebase in git, declare explicit dependencies with uv, and load config from the environment with pydantic-settings.
Processes, port binding, concurrency
Keep FastAPI handlers stateless, bind to an injected port, and scale concurrency through the process model.
Dev and prod parity, logs, disposability
Ship the same Docker image everywhere, treat logs as event streams, and design processes that start fast and shut down cleanly.
Provider switching and admin processes
Swap OpenRouter, OpenAI, Ollama, and Fireworks with one env var, and run admin tasks in the same image.
Who it's for
whose FastAPI services run locally but fall apart when deployed to a new environment
tired of rewriting provider glue every time they want to try a new LLM
who need a deployment story that does not require a full platform team
FAQ
Yes. The parity section runs the same image locally and in production, so you need Docker or Docker Desktop. Everything else works with plain Python.
Optional. The provider pattern lesson uses OpenRouter, OpenAI, Ollama, or Fireworks. OpenRouter has a free tier, and Ollama runs entirely on your laptop if you prefer no API key.
This course maps each of the twelve factors to a concrete FastAPI refactor with code you can diff. You finish with a running service, not a checklist of slogans.
Yes. Every pattern here (pydantic-settings, explicit dependencies, stateless handlers, port binding, the provider abstraction) drops into any existing FastAPI project without a rewrite.
The twelve factors do not go out of date. The services you ship get easier to operate.