How to containerize a FastAPI Application with Docker

Introduction

FastAPI, a high-performance Python web framework, coupled with Docker, a powerful containerization tool, can significantly boost the efficiency of your development workflow. In this blog post, we'll walk you through the process of setting up a FastAPI project using a Dockerfile, providing a flexible and scalable solution for your web development needs.

Step 1: Install Docker (if not already installed)

Before diving into FastAPI, ensure you have Docker installed on your system. Instructions on how to set up and use Docker can be found in the following blog post:

A Beginner’s Guide to Docker: Get Started with Containerization

Introduction In the fast-paced world of software development, efficiency and consistency are key. Docker, a powerful containerization platform, has revolutionized the way we build, ship, and run applications. In this tutorial, we show you how to get started with Docker. Step 1: Install Docker (if not already installed) First of

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Step 2: Create a Project Directory

Start by creating a new directory for your FastAPI project.

Step 3: Create a requirements.txt File

Within your project directory, create a file requirements.txt and include the names of the needed Python packages. In our case, add the following Python packages:

fastapi
uvicorn

Step 4: Create a FastAPI App

To set up the FastAPI application, create a subdirectory called app and add an empty Python file __init__.py.

Furthermore, create a Python file main.py and add the following code:

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"message": "This is my first FastAPI App with Docker!"}