Crandi

From Zero To Deploy Build And Dockerize A Fastapi Crud Application

Leo Migdal
-
from zero to deploy build and dockerize a fastapi crud application

Last modified: Dec 01, 2025 By Alexander Williams FastAPI is a top Python framework. It is fast and modern. Docker is a container platform. It packages apps with all dependencies. Together, they create a powerful deployment solution.

This guide shows you how to deploy FastAPI with Docker. We will cover everything from a basic setup to production-ready configurations. Docker solves the "it works on my machine" problem. It creates a consistent environment. This environment runs anywhere. FastAPI is a high-performance Python framework for building APIs, and Docker allows us to containerize applications to make them easier to deploy.

In this guide, we'll containerize a FastAPI app with Docker, and automate the build and push of the Image to a private container registry using GitHub actions. I built the image with the Dockerfile (as a best practice, I copied the project's dependencies in the requirements file before copying other application files needed, to leverage Docker's caching) in the project directory. The Dockerfile contains the instructions to create the Docker image. Automate Image build and push with GitHub Actions After adding secrets, this is what it should look like. Docker packages your app with everything it needs, so it runs the same anywhere.

FastAPI lets you build fast, efficient APIs with Python. Together, they make development simple and deployment reliable. FastAPI keeps things fast and easy, while Docker ensures consistency across environments. In this guide, you'll learn how to containerize a FastAPI application with Docker. Get notified with a radically better infrastructure monitoring platform. Let's create a straightforward FastAPI project demonstrating key features while being Docker-friendly.

When deploying FastAPI applications a common approach is to build a Linux container image. It's normally done using Docker. You can then deploy that container image in one of a few possible ways. Using Linux containers has several advantages including security, replicability, simplicity, and others. In a hurry and already know this stuff? Jump to the Dockerfile below 👇.

Containers (mainly Linux containers) are a very lightweight way to package applications including all their dependencies and necessary files while keeping them isolated from other containers (other applications or components) in the same system. Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system). DigitalOcean vs. AWS Lightsail: Which Cloud Platform is Right for You? FastAPI is a modern web framework for Python that is designed to deliver high performance, making it an excellent choice for developing application, especially AI-powered apps.

This tutorial will guide you through the process of creating and setting up a FastAPI application on an Ubuntu machine using Docker Compose. This method simplifies deployment and provides a strong foundation for integrating AI in your applications. A server running Ubuntu along with a non-root user with sudo privileges and an active firewall. For guidance on how to set this up, please choose your distribution from this list and follow our initial server setup guide. Please ensure to work with a supported version of Ubuntu. In this tutorial, we are using an Ubuntu 24.04 LTS machine.

Familiarity with the Linux command line. For an introduction or refresher to the command line, you can visit this guide on Linux command line primer. While hosting providers are plenty, just a few offer a Common Gateway Interface (CGI) or the mod_wsgi module to support Python hosting. But among the developers that took the 2023 Stack Overflow Developer Survey, containerization with Docker takes the lead for application development and deployment. For Python applications developed using a framework like FastAPI, deployment via a Container-as-a-Service (CaaS) is as straightforward as pushing your code to GitHub. In this blog, you’ll learn to dockerize your FastAPI application and deploy it via a CaaS.

FastAPI is a lightweight open-source Python web framework for developing RESTful APIs. Launched in 2018, it supports the Pydantic model and Starlette, placing it on the same performant level as Node.js and Golang. The framework is also customizable, allowing you to design your codebase flexibly. With its support for JSON Schema and type-hinting in Python versions 3.6 and later, the Pydantic model allows FastAPI to parse data easily and validate it at run-time. The Starlette framework introduces the Asynchronous Server Gateway Interface (ASGI) into FastAPI; this lets you perform asynchronous operations in Python RESTful APIs and run your code on the Uvicorn ASGI server. Originally built 2028, FastAPI is a lightweight web framework for building HTTP-based service APIs in Python 3.8+.

It uses Pydantic and type hints to validate, serialize and deserialize data. It also automatically generates OpenAPI documentation for APIs built with it. In this tutorial, we'll create a simple CRUD application using FastAPI and MySQL. We'll cover setting up the environment, defining models, and implementing CRUD (Create, Read, Update, Delete) operations. First, ensure you have Python and MySQL installed on your system. Then, create a virtual environment and install the necessary dependencies.

In your project, create a file named database.py to handle the connection to MySQL.

People Also Search

Last Modified: Dec 01, 2025 By Alexander Williams FastAPI Is

Last modified: Dec 01, 2025 By Alexander Williams FastAPI is a top Python framework. It is fast and modern. Docker is a container platform. It packages apps with all dependencies. Together, they create a powerful deployment solution.

This Guide Shows You How To Deploy FastAPI With Docker.

This guide shows you how to deploy FastAPI with Docker. We will cover everything from a basic setup to production-ready configurations. Docker solves the "it works on my machine" problem. It creates a consistent environment. This environment runs anywhere. FastAPI is a high-performance Python framework for building APIs, and Docker allows us to containerize applications to make them easier to depl...

In This Guide, We'll Containerize A FastAPI App With Docker,

In this guide, we'll containerize a FastAPI app with Docker, and automate the build and push of the Image to a private container registry using GitHub actions. I built the image with the Dockerfile (as a best practice, I copied the project's dependencies in the requirements file before copying other application files needed, to leverage Docker's caching) in the project directory. The Dockerfile co...

FastAPI Lets You Build Fast, Efficient APIs With Python. Together,

FastAPI lets you build fast, efficient APIs with Python. Together, they make development simple and deployment reliable. FastAPI keeps things fast and easy, while Docker ensures consistency across environments. In this guide, you'll learn how to containerize a FastAPI application with Docker. Get notified with a radically better infrastructure monitoring platform. Let's create a straightforward Fa...

When Deploying FastAPI Applications A Common Approach Is To Build

When deploying FastAPI applications a common approach is to build a Linux container image. It's normally done using Docker. You can then deploy that container image in one of a few possible ways. Using Linux containers has several advantages including security, replicability, simplicity, and others. In a hurry and already know this stuff? Jump to the Dockerfile below 👇.