Docker FastAPI projects

Well-documented examples of deployment-ready FastAPI applications written from scratch.

While the official documentation of FastAPI covers many of the core topics, for developers unfamiliar with Docker, implementing an actual API can be a nasty experience. There is a huge gulf between the hello-world application on localhost:8000 and the more-life one.

This project is an attempt at an orderly way through the process of creating more and more complex APIs, with an emphasis on deployment using Docker. Please note that there is an official template, but it seems to be too elaborate, and besides, it relies on a different ORM, SQL Alchemy, while this project will use Tortoise ORM, as it seems friendlier (in particular for people from the Django community).

Nice to have:

• Knowledge of the basics of REST.

• At least basic knowledge of Python and FastAPI.

• Literally any knowledge of Docker (Docker For Beginners Video on YouTube, Dockerfile official reference).

• Docker Desktop client installed on your machine.

• [Optional] Any experience with cloud platforms like AWS, Azure, Digital Ocean, Google Cloud etc. (While an AWS EC2 instance will be used in the project, any virtual machine with docker and ssh access will also be excellent).

Basic examples:

• Introduction
• Deployment in AWS EC2 instance
• Uvicorn
• Nginx
• Nginx with PostgreSQL

GitHub repository

https://github.com/rafsaf/docker-fastapi-projects