This guide shows you how to Dockerize and deploy a FastAPI application. Here's a streamlined Dockerfile and deployment instructions.
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"]
.dockerignore
:
__pycache__ *.pyc *.pyo .venv venv dist build
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:
docker build -t fastapi-app . docker run -p 3000:3000 fastapi-app
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.
The above is the detailed content of How to Dockerize FastAPI. For more information, please follow other related articles on the PHP Chinese website!

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