Learn how to prevent API abuse by implementing rate limiting using the express-rate-limit package in a Next.js application. Tagged with javascript, nextjs, express, api.

Roberto Umbelino

Figma

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Implementing rate limiting is essential for controlling the number of API requests users can make within a set timeframe, protecting the service from abuse and ensuring its availability and performance. The post explains the setup using the `express-rate-limit` middleware in a Next.js API route. This involves configuring parameters like `windowMs` for the time window and `max` for the maximum requests allowed. It is a practical method to enhance security and efficiency by preventing brute force attacks and managing server load effectively.

Implementing Rate Limiting in API Routes with Express and Next.js

Understanding the Express-rate-limit Library

sorry to say but your example is a bit vague and it uses deprecated methods like ‘max’

You need to explain how things work under the hood and how you would manage rate limiting if your service uses multiple servers with a load balancer. The rate-limiting data is stored in the server memory and cannot be shared across servers. Additionally, storing things in memory is not ideal because it can get filled up, leading to crashes or performance issues.
To solve all these issues, you can add a shared Redis database where you store the rate-limiting data.