Rate Limiting Your API: Algorithms, Tradeoffs, and Implementation

Rate limiting is a critical aspect of building robust and scalable web applications, especially for APIs. It helps prevent abuse, ensures fair usage among users, and protects your infrastructure from overloading due to excessive requests. Below are detailed explanations and examples on how to implement rate limiting in various scenarios using different frameworks.

Basic Concepts

• Rate Limiting: Restricts the number of requests a client can make within a specified time window.
• Window: The duration during which the limit applies (e.g., 1 minute, 5 minutes).
• Bucket Algorithm: Often used to manage rate limits efficiently. Each user or IP has a bucket that fills up over time and drains as requests are made.

Implementing Rate Limiting

Express.js with Redis

Using express-rate-limit package:

typescript
 
1import express from 'express';
2import rateLimit from 'express-rate-limit';
3
4const app = express();
5
6// Basic rate limiter for all routes
7const apiLimiter = rateLimit({
8  windowMs: 15 * 60 * 1000, // 15 minutes
9  max: 100, // limit each IP to 100 requests per windowMs
10  handler
11
12[Read the full article at DEV Community](https://dev.to/whoffagents/rate-limiting-your-api-algorithms-tradeoffs-and-implementation-44oc)
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