Deploy A Fastapi Application Using Docker And Github Actions For Ci Cd

Leo Migdal

-Dec 4, 2025, 7:45 PM

deploy a fastapi application using docker and github actions for ci cd

Tired of manually deploying your applications? What if you could push code to GitHub, run tests automatically, and deploy updates to your live server—without lifting a finger? That’s exactly what I did with my FastAPI project using CI/CD. I’ll walk you through how I set up a Continuous Integration (CI) pipeline to automatically test my code... Continuous Deployment (CD) pipeline to push updates to an AWS EC2 instance. Individual developers / students You host your FastAPI app on GitHub, but you manually run tests, build Docker images, and deploy every time.

→ We aim for a “semi-automatic” workflow where pushing code automatically runs tests and deploys to the staging environment. Small teams (3–5 people) of web / backend engineers Reviews, tests, and staging deployments for each Pull Request tend to be ad hoc and person-dependent. → We make the GitHub Actions workflow the shared rule so tests and deployments become the team’s “standard process.” Startup teams running FastAPI on Kubernetes You are already on Kubernetes, but you’re piled up with ad hoc scripts and manual kubectl apply, and nobody is sure which script is the source of truth. → We centralize “Build → Registry → K8s Deploy” into the workflow and unify the production release flow. Information structure The article progresses step by step: big picture up front → CI design → CD design → Kubernetes integration → environment & secrets management → operational tips → summary.

Terminology Terms are briefly explained the first time they appear, then used consistently afterwards to avoid confusion. English terms are not introduced more than necessary. Welcome to the FastAPI Docker Deployment project! This repository demonstrates how to automate the creation and deployment of a Dockerized FastAPI application using GitHub Actions. Whether you’re a DevOps enthusiast or a developer looking to streamline your CI/CD pipeline, this project is for you! Before you begin, ensure you have the following installed:

Open your browser and go to: http://localhost:8000 This project uses GitHub Actions to automate the build and deployment process. Here’s how it works: Check out the workflow file: .github/workflows/docker-deploy.yml Welcome to the FastAPI-Docker-GitHub-Actions Lab! This repository serves as an educational example of a CI/CD project that demonstrates the usage of GitHub Actions for deploying a simple FastAPI server.

Key components include: The core idea is to have a CI/CD pipeline that illustrates the automation with Continuous Integration, however, you can follow these steps to configure/run the project locally: Begin by cloning this repository to your local machine: To manage Python dependencies and create a virtual environment, install Poetry following the instructions for your preferred installation method: Once Poetry is installed, execute the following commands for its setup: Join the DZone community and get the full member experience.

Deploying FastAPI apps manually gets old fast. You SSH into a server, pull the latest code, restart the service, and hope nothing breaks. Maybe you remember to run tests first. Maybe you don't. One forgotten environment variable or skipped test, and your API is down. Users get 500 errors.

You're frantically SSHing back in to fix it. GitHub Actions can automate the entire deployment process. Push to your main branch, tests run automatically, and if they pass, your app deploys. No SSH. No manual steps. No forgotten checks.

We'll use a simple FastAPI app to demonstrate the pipeline. Your actual app will be more complex, but the deployment process stays the same. Shipping a containerized app to the cloud doesn’t have to be complicated. In this blog post, I’ll walk you through deploying a Dockerized application to Azure step-by-step from pushing your image to Azure Container Registry (ACR) to automating your deployments with GitHub Actions. Whether you're building your first cloud native app or just need a quick blueprint for setting up Azure CI/CD, this walkthrough has you covered with screenshots, code snippets, and tips to avoid common pitfalls. Before starting, ensure you have the Azure CLI installed and you're logged in.

Follow the installation guidehere A GitHub repository containing your Dockerfile & FastAPI code. In this tutorial, you will learn how to set up a Continuous Delivery (CD) pipeline for deploying a FastAPI application using GitHub Actions. We will guide you through the process of building and packaging your FastAPI application into a Docker image, pushing it to GitHub Container Registry (GHCR), and automating the deployment process. You’ll also learn about key steps such as configuring Docker, managing Docker images, and generating security and vulnerability reports with tools like Grype and Syft. This lesson is the last in a 4-part series on GitHub Actions:

To learn how to set up Docker and GHCR for Continuous Delivery with GitHub Actions, just keep reading. In this GitHub Actions CI/CD series, we began with an introduction to Continuous Integration and Continuous Deployment (CI/CD) for Python projects. We’ve covered a wide range of CI topics, from the basics of setting up GitHub Actions for CI workflows, configuring triggers for running pipelines, and automating tasks using Taskfile, to building and testing FastAPI... Our journey through the CI pipeline also included publishing test results and creating a release in the form of a Python wheel file, which was then uploaded to GitHub as part of the CI... Each step so far has focused on improving the efficiency and reliability of our development process by automating repetitive tasks, streamlining testing, and ensuring that our application maintains high standards of code quality.

Deploy A Fastapi Application Using Docker And Github Actions For Ci Cd

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Tired Of Manually Deploying Your Applications? What If You Could

→ We Aim For A “semi-automatic” Workflow Where Pushing Code

Terminology Terms Are Briefly Explained The First Time They Appear,

Open Your Browser And Go To: Http://localhost:8000 This Project Uses

Key Components Include: The Core Idea Is To Have A