How to Dockerize FastAPI

This guide shows you how to Dockerize and deploy a FastAPI application. Here's a streamlined Dockerfile and deployment instructions.

Dockerfile:

<code class="language-dockerfile">FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

CMD ["fastapi", "run", "app/main.py", "--port", "3000"]</code>

.dockerignore:

<code class="language-dockerignore">__pycache__
*.pyc
*.pyo
.venv
venv
dist
build</code>

This Dockerfile uses a Python 3.9 base image, copies requirements, installs dependencies, copies the application code (assumed to reside in an app directory), and starts the FastAPI app on port 3000. The .dockerignore file prevents unnecessary files from being included in the image.

Build and Run:

To build and run locally:

<code class="language-bash">docker build -t fastapi-app .
docker run -p 3000:3000 fastapi-app</code>

Deployment (using Sliplane):

Sliplane simplifies deployment. After signing up (first two days are free!), create a new service by connecting your GitHub repository. Use the default settings and deploy. Your FastAPI app will then be accessible via a Sliplane subdomain (typically your service name). Sliplane automatically deploys updates upon each GitHub push.

Alternative Deployment Platforms:

Other platforms like Heroku, DigitalOcean, or AWS ECS also support Docker deployments. Adapt the deployment process according to your chosen platform's documentation.

This revised version maintains the original content and image placement while improving clarity and flow. Remember to replace placeholders like app/main.py with your actual file paths.

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