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FastAPI Cookbook

You're reading from   FastAPI Cookbook Develop high-performance APIs and web applications with Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805127857
Length 358 pages
Edition 1st Edition
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Author (1):
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Giunio De Luca Giunio De Luca
Author Profile Icon Giunio De Luca
Giunio De Luca
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: First Steps with FastAPI 2. Chapter 2: Working with Data FREE CHAPTER 3. Chapter 3: Building RESTful APIs with FastAPI 4. Chapter 4: Authentication and Authorization 5. Chapter 5: Testing and Debugging FastAPI Applications 6. Chapter 6: Integrating FastAPI with SQL Databases 7. Chapter 7: Integrating FastAPI with NoSQL Databases 8. Chapter 8: Advanced Features and Best Practices 9. Chapter 9: Working with WebSocket 10. Chapter 10: Integrating FastAPI with other Python Libraries 11. Chapter 11: Middleware and Webhooks 12. Chapter 12: Deploying and Managing FastAPI Applications 13. Index 14. Other Books You May Enjoy

Optimizing application performance

Optimizing FastAPI applications is crucial for ensuring high performance and scalability, especially under heavy loads.

In this recipe, we’ll see a technique to profile our FastAPI application and explore actionable strategies to optimize performances. By the end of the recipe, you will be able to detect code bottlenecks and optimize your application.

Getting ready

Before starting the recipe, make sure to have a FastAPI application running with some endpoints already set up. You can follow along with our trip platform application.

We will be using the pyinstrument package to set up a profiler for the application. If you haven’t installed the packages with requirements.txt, you can install pyinstrument in your environment by running the following:

$ pip install pyinstrument

Also, it can be useful to have a look at the Creating custom middleware recipe from earlier in the chapter.

How to do it…

Let's...

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