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FastAPI Series | Part 5: Deploying FastAPI to ECS with RDS and Docker
Welcome to Part 5 of our FastAPI Series, where we will show you how to deploy your FastAPI application to Amazon Elastic Container Service (ECS) with Amazon Relational Database Service (RDS) and Docker.
Step 1: Set up Amazon RDS
First, you need to set up your Amazon RDS instance. Create a new RDS instance with the desired database engine (e.g. MySQL, PostgreSQL) and configure the necessary settings such as username, password, and database name.
Step 2: Dockerize your FastAPI application
Next, you need to containerize your FastAPI application using Docker. Create a Dockerfile in the root of your project with the following content:
“`Dockerfile
FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9
COPY ./app /app
“`
Build your Docker image using the following command:
“`bash
docker build -t my-fastapi-app .
“`
Step 3: Deploy your FastAPI application to ECS
Now, it’s time to deploy your FastAPI application to ECS. Create a new ECS cluster and task definition, and configure the necessary settings such as container image, port mappings, and environment variables (e.g. RDS connection information).
Finally, deploy your FastAPI application to ECS using the AWS Management Console or the AWS CLI.
Conclusion
Congratulations! You have successfully deployed your FastAPI application to ECS with RDS and Docker. In this article, we have covered the key steps involved in deploying a FastAPI application to ECS, from setting up RDS to containerizing your application with Docker.
We hope you found this tutorial helpful. Stay tuned for more articles in our FastAPI Series!
Can u please provide link to github repo with this project?
Awesome series! Do you have git repository anywhere to take a look at the files?
Hi there! thanks a lot for your video. It helped me get my FastAPI project onto AWS ECS, something I was struggling with. Your instructions were really helpful, and I appreciate you sharing that knowledge! 👏🚀
great tutorial, thanks. But you shouldn't put the APP_ENV in the Dockerfile. Since you have a local.yml and a production.yml, you can specify environment: and then put the APP_ENV there in the yaml files and thus specify different values for different environments accordingly
Thx