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By Kevin McAleer, 3 Minutes
Deploying a FastAPI application involves several key steps to ensure your application is ready for production. This includes setting up a production server, ensuring your application is secure, and choosing the right hosting platform.
Before deploying, ensure your application:
requirements.txt
Heroku is a cloud platform that simplifies the deployment process. Here’s a basic guide to deploying your FastAPI and Pydantic application to Heroku.
Make sure your application structure is ready for deployment. This includes organizing your application files, including a Procfile, which tells Heroku how to run your application.
Procfile
web: uvicorn main:app --host=0.0.0.0 --port=${PORT:-5000}
This Procfile instructs Heroku to start your FastAPI application with Uvicorn, binding to the port assigned by Heroku.
If you haven’t already, install the Heroku CLI and create a new Heroku app:
heroku login heroku create your-app-name
Commit your code to a Git repository if you haven’t done so. Then, deploy your application to Heroku using Git:
git init heroku git:remote -a your-app-name git add . git commit -am "Initial deploy" git push heroku master
Once deployed, Heroku will provide a URL to access your application. Visit this URL to ensure your FastAPI application is running correctly.
After deploying, monitor your application’s performance and be prepared to scale your Heroku dynos according to the load. Additionally, consider setting up a continuous deployment pipeline for easier updates.
Deploy a simple FastAPI application that includes Pydantic models for data validation to Heroku. Ensure your application is accessible via a public URL and test its endpoints to confirm they are functioning as expected in the production environment.
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