Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://www.geeksforgeeks.org/devops/fastapi-in-containers-docker/ below:

FastAPI in Containers - Docker

Last Updated : 23 Jul, 2025

FastAPI is also an open-source Starlette-ASGI (Asynchronous Server Gateway Interface) micro-web framework written in Python used to create RESTful APIs. Docker is a set of platform-as-a-service (PaaS) products that use OS-level virtualization to deliver software in packages called containers.

Your project has various dependencies and requires different configurations for each task, such as database management, cloud integration, CI/CD, etc. Setting up these configurations can be a hectic task, and they also need to be portable. To overcome this challenge, containers can be used. By building a Docker image and containers, you can develop an isolated environment for your project code with all the necessary dependencies. This article will guide you through the process of creating these containers.

An Application Programming Interface (API) is a set of definitions and protocols that allow two or more computer programs or components to communicate with each other. It's analogous to a waiter who takes requests and communicates them to the chef, and vice versa. For a detailed explanation, go to this article.

Packaging your FastAPI application along with its dependencies and project code into a container image is FastAPI in containers, which also allows you to deploy, manage, and perform various operations very easily.

Step 1: Create a new folder for your project and navigate into it.

mkdir fastapi-container
cd fastapi-container

Step 2: Create a new Python virtual environment and activate it.

python -m venv env
.env/Scripts/activate

Step 3: Install FastAPI and Uvicorn in a virtual environment. Uvicorn is an application server used to serve Python web applications

pip install fastapi uvicorn

Step 4: Create your FastAPI files or add all the necessary files to your folder.

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def hello():
    return {"Hello": "World"}

Step 5: Create a new file called Dockerfile and add the following code. This will allow you to make docker image and container which will copy all the content from your directory into image.

Note: Make sure filename is Dockerfile

FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9
COPY . .

Step 6: Build the docker image using following syntax.

docker build -t fastapi-docker .

-t is a tag flag which allow you to name your docker image, in above case fastapi-docker.explanation,

Step 7: Run your image which will create container and run uvicorn at port 9000 (using -p flag) as given in below syntax.

docker run -p 9000:80 fastapi-docker

Step 8: Goto any browser and search this URL localhost:9000. This will show result from your endpoints.

• Portability: Containers packs the FastAPI application with its dependencies, making it easy to run across different environments, such as development, testing, and production.
• Isolation: Containers ensures that FastAPI runs independently of the host system. This isolation avoid the conflicts between dependencies and allows for easier management of different versions app.
• Easy Deployment: Containerized FastAPI applications can be easily deployed and updated using container orchestration tools like Docker Swarm or Kubernetes.

FastAPI within Docker containers has various advantages for modern web development projects. Containerization of FastAPI, developers can ensure consistent environments across different platforms, simplify deployment processes, and enhance scalability and portability.

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4