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Understanding why you need a rate limiter is the easy part. However, with so many options out there, the real challenge is choosing which one to implement and how to make it work seamlessly. Join @RaphaelDeLio as he breaks down the most effective strategies for building powerful rate limiters with Redis. Here’s what you’ll learn: • Why rate limiting is essential (hint: it’s more than just stopping spammers). • How Redis makes rate limiting fast, scalable, and reliable. • The most popular algorithms—Leaky Bucket, Token Bucket, Fixed Window, and Sliding Window methods—and how to pick the right one for your needs. Implementation videos: Token Bucket: • Token Bucket Rate Limiter (Redis & Java) Fixed Window Log: • Fixed Window Counter Rate Limiter (Redis &... Sliding Window Log: • Sliding Window Log Rate Limiter (Redis & J... Sliding Window Counter: • Sliding Window Counter Rate Limiter (Redis... This video is also available as an article: https://raphaeldelio.com/2024/12/23/r... 00:00 Introduction 00:20 Why use a rate limiter and real world examples 01:21 Why implement a rate limiter with Redis 02:06 Leaky Bucket 02:20 Token Bucket 02:53 Fixed Window Counter 03:22 Sliding Window Log 03:43 Sliding Window Counter 04:01 Disclaimer about dedicated videos showcasing the implementations 04:29 How to choose between these algorithms 05:20 Conclusion