Which Cloud Platform Makes FastAPI Deployment a Breeze?

python

Which Cloud Platform Makes FastAPI Deployment a Breeze?

Getting Your FastAPI API Deployed Across the Cloud - AWS, GCP, and Heroku Made Easy

Feb 3, 2023

Which Cloud Platform Makes FastAPI Deployment a Breeze?

Deploying a FastAPI application to cloud services like AWS, GCP, and Heroku might seem tricky at first glance, but it’s a lot more manageable once you know the drill. So, here’s a breakdown on how to get your FastAPI app live on these popular cloud platforms.

FastAPI is a super fast and modern web framework perfect for building APIs with Python 3.7+. Its support for asynchronous programming and standard Python type hints makes it a top pick for developing REST APIs and microservices in no time.

Let’s Get Rolling with AWS

When it comes to deploying your FastAPI app on AWS, you have quite a few options. One of the streamlined ways is to use Porter, a super handy platform that simplifies the deployment process.

First thing first, you need a basic FastAPI app. Here’s a small example to start with:

from fastapi import FastAPI

app = FastAPI()

@app.get("/", tags=["root"])
async def root():
    return {"message": "Hello World"}

Porter does all the heavy lifting, so you don’t need to worry about launching instances or setting up security groups manually. You just create a new app on Porter, specify the repo, branch, and build settings, and you’re nearly there.

Once Porter spins up your app on an AWS EC2 instance, you’ll get a unique URL in the dashboard. Testing your app or checking out the auto-generated OpenAPI docs becomes a breeze. Plus, Porter has logging and monitoring features baked right in, though you can always plug in more robust tools like DataDog if needed.

Spinning Up on GCP

Google Cloud Platform (GCP) also has multiple ways to deploy FastAPI apps, with Google Cloud Run and Google App Engine being the most popular choices.

Google Cloud Run is hassle-free for deploying containerized applications. Ensure you have a Google Cloud account, the gcloud CLI, Docker, and Python installed. Set up your FastAPI app similar to the AWS example, and then Dockerize it.

Creating a Dockerfile would look something like this:

FROM python:3.11.3
ENV PYTHONUNBUFFERED True
RUN pip install --upgrade pip
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
ENV APP_HOME /root
WORKDIR $APP_HOME
COPY /app $APP_HOME/app
EXPOSE 8080
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", 8080"]

With your Docker image sorted, deploy your app using the gcloud CLI:

gcloud run deploy sample --port 8080 --source .

You’ll get a URL to access your deployed app, easy peasy.

Google App Engine is another viable GCP route. After setting up your project in Google Cloud Platform, your app.yaml for deployment might look like this:

runtime: python37
entrypoint: gunicorn -w 4 -k uvicorn.workers.UvicornWorker main:app

Deploying with the gcloud CLI is straightforward:

gcloud app deploy app.yaml

Your app will go live at a URL like your-project-id.appspot.com. Simple and effective.

Going Live on Heroku

Heroku is popular for web app deployments with minimal fuss. Set up your FastAPI app, create a virtual environment, and don’t forget to install the necessary dependencies:

pip install fastapi gunicorn

Your Procfile needs to tell Heroku how to run your app:

web: gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker

Push your code to GitHub, link your GitHub repo to Heroku, and enable automatic deploys. Heroku will take care of the rest whenever you push updates to the repository.

Extra Things to Think About

Environment Variables and Scaling are crucial. Most platforms need you to configure environment variables via their dashboards or in config files. Scaling your app to handle more traffic is something Porter and Heroku can automate, reducing the manual headache.

Security and Monitoring are top priorities. Make sure your app has a valid SSL certificate. Platforms like Porter often manage SSL certs for you. Use the built-in logging and monitoring, or integrate third-party tools for better control.

Wrapped Up

Getting a FastAPI application deployed on AWS, GCP, or Heroku is totally doable with the right setup. AWS with Porter simplifies the process while offering robustness. Google Cloud Run and App Engine provide flexibility and ease. Heroku’s minimal setup keeps it user-friendly. Following these steps will let you get your FastAPI app up and running swiftly, ensuring great performance, reliability, and scalability. Whether it’s Porter for AWS, the flexibility of GCP, or the simplicity of Heroku, you have solid options for your deployment needs.