Dockerizing FastAPI: Portable Production Environments

Dockerizing FastAPI: Portable Production Environments

Package your app for any cloud. Learn how to write optimized Dockerfiles for FastAPI to ensure 'It works on my machine' means 'It works in the cloud.'

Dockerizing FastAPI: Portable Production Environments

"It works on my machine" is a phrase that has caused millions of dollars in lost productivity. Docker solves this by packaging your code, your dependencies, and your operating system into a single "Container" that runs exactly the same way everywhere.

In this lesson, we build a production-ready Docker image for FastAPI.


1. Why Docker?

  1. Isolation: Your app doesn't care if the server is running Ubuntu, Debian, or Mac.
  2. Scalability: You can spin up 100 identical containers in seconds.
  3. Modern Deployment: Tools like Kubernetes and AWS Fargate require Docker.

2. The Multi-Stage Dockerfile (Standard)

We want our final image to be as small as possible for fast deployments and lower costs.

# Step 1: Build Stage
FROM python:3.11-slim as builder

WORKDIR /app
COPY requirements.txt .
RUN pip install --user -r requirements.txt

# Step 2: Runtime Stage (The small one)
FROM python:3.11-slim

WORKDIR /app
# Copy only the installed packages from the builder
COPY --from=builder /root/.local /root/.local
COPY . .

ENV PATH=/root/.local/bin:$PATH

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80"]

3. The .dockerignore File

Just like .gitignore, this prevents you from accidentally copying large or sensitive files (like .venv or .env) into your image.


4. Docker Compose for Local Development

When your app needs a database (Postgres) and a cache (Redis), you use Docker Compose to manage all three containers at once.

version: '3.8'
services:
  web:
    build: .
    ports: ["8000:80"]
    environment:
      - DATABASE_URL=postgres://user:pass@db:5432/mydb
  db:
    image: postgres:15
    environment:
      - POSTGRES_PASSWORD=pass

Visualizing the Container

graph LR
    A["Python Code"] --> B["Docker Image (OS + Code + Deps)"]
    B --> C["AWS"]
    B --> D["Google Cloud"]
    B --> E["Your Laptop"]
    
    style B fill:#bbf,stroke:#333Portable

Summary

  • Containers: Package everything needed to run.
  • Multi-Stage Builds: Keep your images small and secure.
  • .dockerignore: Mandatory for clean builds.
  • Compose: The easiest way to manage multi-container apps locally.

In the next lesson, we wrap up Module 17 with CI/CD and GitHub Actions.


Exercise: The Slimdown

You have a Docker image that is 1.2 GB in size. Your team complains that it takes too long to deploy.

  1. Mention two things you can do to reduce the size. (Hint: Think about "Base Image" and "Build Stages").
  2. Why is a smaller image more "Secure" than a larger image?

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