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Rate Limiting with FastAPI: An In-Depth Guide

Dhruv Patel
5 min readOct 7, 2024

This article dives deep into various rate-limiting strategies with FastAPI, providing practical examples that cater to different scaling needs and ensuring the protection of your API.

High Level Diagram

Rate limiting is a technique used to control the number of requests a client can make to an API within a certain timeframe. This prevents abuse, mitigates the impact of Denial of Service (DoS) attacks, and ensures fair usage of system resources. FastAPI, known for its speed and ease of use, can be equipped with rate limiting using various approaches, making it a robust option for building secure and efficient APIs.

This article will provide an in-depth exploration of how to implement rate limiting in FastAPI, covering different strategies such as in-memory, Redis-based, and advanced approaches using third-party libraries like slowapi.

1. Why Rate Limiting Matters

Before diving into implementation, let’s quickly discuss why rate limiting is crucial:

  • Prevent API Abuse: Rate limiting prevents malicious users or malfunctioning applications from overwhelming your system.
  • Cost Control: Many services charge based on usage. Rate limiting helps in managing costs by preventing excessive API calls.
  • Improved Performance: By…

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Dhruv Patel
Dhruv Patel

Written by Dhruv Patel

Writing about productivity systems and life optimization strategies. Software engineer sharing insights on clean code, architecture, and best practices.

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