Best practices for building enterprise-level backends with FastAPI

Backend
1

Hey everyone!

I’m diving into FastAPI after working with Flask and Spring/SpringBoot for microservices. Starting a new backend project at work got me excited about trying FastAPI. It seems like a great chance to learn something new and make work fun again!

I’m curious about FastAPI-specific best practices for enterprise-grade projects. What should I focus on for:

  1. Keeping things secure
  2. Monitoring and tracking
  3. Building the app
  4. Getting it deployed
  5. Writing good tests
  6. Organizing the project files

If you’ve got any favorite resources or tips you use, I’d love to hear about them! It’d be super helpful to get some guidance from more experienced FastAPI devs.

Thanks in advance for any advice!

2

hey there! fastapi’s pretty cool, right? i’m curious about how you’re planning to handle auth and rate limiting in your project. have you thought about using pydantic for data validation? it’s been a game-changer for me. what kind of deployment strategy are you considering? containerization or serverless? would love to hear your thoughts!

3

yo! fastapi’s awesome for enterprise backends. for security, def use jwt tokens & oauth2. prometheus is great for monitoring. structure ur project with routers & dependency injection. docker’s the way to go for deployment. pytest rocks for testing. check out tiangolo’s fullstack fastapi template - it’s gold! good luck with ur project!

4

For enterprise-level FastAPI backends, I’ve found dependency injection crucial for maintainability. It’s worth investing time in setting up a robust logging system early on. Consider using asyncio for improved performance, especially for I/O-bound operations. Implement comprehensive error handling and custom exception classes to ensure graceful failure modes. Regarding project structure, I recommend a modular approach with clear separation of concerns. For deployment, I’ve had success with Kubernetes for scalability and ease of management. Don’t forget to implement proper API versioning to facilitate future updates without breaking existing client integrations.