Crandi

Deploying A Fastapi App With Ci Cd Github Actions Docker Nginx Aws

Leo Migdal
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deploying a fastapi app with ci cd github actions docker nginx aws

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. 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:

These days I use Kamal to deploy my FastAPI (or Django) projects. Kamal is a simpler alternative to Kubernetes that you can use to deploy containerized apps to a VPS. Once you get the hang of it, it’ll only take you a few minutes to set up a CI/CD pipeline that automatically deploys your app to production with each push to the main branch. In this tutorial, I’ll walk you through the process of deploying a FastAPI app with Kamal, AWS ECR, and Github Actions. You can find the code for this tutorial in this repository. To make the most of this tutorial, you should:

This guide explains how to set up a CI/CD pipeline to automatically deploy a Dockerized FastAPI app (or any containerized app) to an EC2 instance using GitHub Actions. Create a new SSH key pair (locally or in CI): You can have multiple lines in authorized_keys. Then log out and log back in (or reboot): Go to your GitHub repo → Settings → Secrets and variables → Actions, and add: In this article, I will walk you through how I deployed a FastAPI application with continuous integration (CI) and continuous deployment (CD).

The first step is to fork the repo and clone the repository to your local device git clone https://github.com/hng12-devbotops/fastapi-book-project.git cd fastapi-book-project/ I am testing the application locally before deploying, using a virtual environment is the best practice to manage your Python dependencies. To do this you need to create and activate a virtual environment. python3 -m venv hng source hng/bin/activate Our API is currently unable to fetch a single book using its ID. In this step, I added a new endpoint to the FastAPI router that handles a GET request to retrieve a book based on its provided ID.

Add this code to the books.pyfile Once you've implemented the endpoint, it's important to test it to ensure it behaves as expected, I did this by running this command pytest In this blog post, we will walk through the process of deploying a FastAPI application on an AWS EC2 instance with Nginx as a reverse proxy, while leveraging GitHub Actions for Continuous Integration and... This will ensure that every change pushed to the main branch is automatically deployed to the server. By the end of this tutorial, you will have a fully functional, continuously deployed FastAPI application running on AWS. We will be working with a FastAPI Book API and following these key steps:

The application already provides endpoints for creating, updating, and deleting books, but we need to add an endpoint to retrieve a book by its ID. Modify api/routes/books.py by adding the missing endpoint:

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