This content originally appeared on DEV Community and was authored by Paramanantham Harrison
APIs handle millions of requests daily, but without rate limiting, they crash, slow down, and get abused.
In today’s episode, we discuss how to build scalable rate limiting systems, from basic throttling to Redis-powered distributed solutions.
APIs don’t break because of traffic. They break because they aren’t designed to handle traffic well. That’s where rate limiting comes in. Think about it—if every user could send unlimited requests, the whole system would crash. But how do you set the right limits without blocking real users? We’ll break it down in today’s episode, from simple request caps to Redis-based distributed rate limiting. Let’s dive in!
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This content originally appeared on DEV Community and was authored by Paramanantham Harrison
Paramanantham Harrison | Sciencx (2025-03-19T19:35:01+00:00) Scaling APIs without breaking them using Rate Limiting. Retrieved from https://www.scien.cx/2025/03/19/scaling-apis-without-breaking-them-using-rate-limiting/
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