cerbos VS fastapi

Here, Cerbos comes into the picture.

In this tutorial you will learn how to use Cerbos to add fine-grained access control to any Nuxt web application, simplifying authorization as a result.

In my work with Cerbos, I apply the lessons learned from Da Vinci to tackle authorization challenges. Our approach is to create solutions where functionality seamlessly integrates with developer experience. Constantly iterating and viewing the tools through the users' lens, helps ensure that our access control solutions are robust and dev-friendly.

You may already know of our open source solution - Cerbos Policy Decision Point (PDP); a devtool which helps developers enforce access control over different parts of their software. If you need to learn more about Cerbos in general, we strongly recommend checking out the website and the docs.

GitHub: https://github.com/cerbos/cerbos URL: https://cerbos.dev

Cerbos Hub is a managed service offering for the open source authorization product, Cerbos.

Hello fellow devs! I'm with Cerbos (https://cerbos.dev/), a tool designed to manage who can do what in your software applications.

He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.

It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.

FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.

In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.

That’s when I found FastAPI.

FastAPI & Uvicorn

Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696

An API application framework (such as FastAPI)

It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

This ends up made worse if you’re using sync routes.

If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

Fast API.