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Ship a FastAPI image that is small, reproducible, and safe. Multi-stage build with uv, non-root runtime, real HEALTHCHECK, and a compose stack that mirrors production.
Message a mentor about fit, prerequisites, or where to start. Replies come on WhatsApp, usually within a day.
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Build a multi-stage Dockerfile with uv, a slim runtime, a non-root user, a HEALTHCHECK, and a docker-compose file that runs your FastAPI service alongside its dependencies. Go from a shaky local setup to a production-shaped image you can hand to any platform.
Turn your FastAPI service into a production-shaped image with uv, a slim runtime, and a healthchecked compose stack.
What you'll ship
What you'll learn
Curriculum
Why Docker for Python APIs
Understand what a container actually gives you over a virtualenv, and why uv is the package manager that finally matches Docker's speed and determinism.
Your first Dockerfile
Write a working single-stage Dockerfile that boots your FastAPI service. Understand every instruction before we optimize it.
Multi-stage builds
Split the Dockerfile into a builder stage and a runtime stage. Keep compilers out of production and squeeze image size without losing reproducibility.
Production hardening
Drop to a non-root user, make the filesystem read-only, wire a real HEALTHCHECK, and audit what actually lands in your image.
docker-compose orchestration
Run your hardened FastAPI image alongside Postgres and Redis using docker-compose, with env files, volumes, profiles, and health-gated startup.
Who it's for
who keep hearing "just containerize it" but have never shipped a production image
who need a Dockerfile a platform like Fly, Railway, or Kubernetes will accept without a fight
whose current Dockerfile is a 900MB Frankenstein built on python:3.11 with pip and no healthcheck
FAQ
No. We start with an empty Dockerfile and build up, explaining every instruction. If you can run docker ps, you have enough to begin.
uv reads a lockfile, installs from a prebuilt wheel cache, and finishes in seconds. That matters inside a Docker build where every layer cache miss costs real time and money.
Yes. The patterns apply to any Python web service, including Flask, Litestar, Starlette, and plain ASGI apps. FastAPI is the example, but the Dockerfile shape is the same.
Yes. The hardened image follows the conventions Kubernetes, Fly.io, Railway, and ECS expect: non-root user, HEALTHCHECK or readiness probe hook, clean signal handling, and a tight runtime surface.
Pricing
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The difference is not another framework. It is a disciplined Dockerfile.
Containerizing Python APIs with Docker
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