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Sliding Window Counter Rate Limiter (Redis & Java)

Managing API traffic can be tricky, but it doesn’t have to be! In this video, we’ll dive into the Sliding Window Counter algorithm, the most efficient approach for handling rate limiting with Redis. Join ‪@RaphaelDeLio‬ as he breaks down how the algorithm works, why Redis is the perfect tool for implementing rate limiting, and how to build it step by step in Java. Here’s what we’ll cover: How the Sliding Window Counter algorithm works. Building and testing a Java implementation with Jedis. Scenarios to validate behavior. Ready to get started? Watch now, and don’t forget to like, comment, and subscribe for more Redis tips and developer-friendly guides! Chapters: 00:00 Intro 01:10 How the Sliding Window Counter algorithm works 01:49 How Redis fits into the picture 02:54 Implementing it with Redis and Java/Jedis 04:43 Introduction to HEXPIRE, a new Redis Command 05:14 Concluding the implementation 05:30 Testing the algorithm 08:00 Conclusion GitHub Repository: Java: https://github.com/raphaeldelio/redis... Kotlin: https://github.com/raphaeldelio/redis... This video is also available as an article: https://raphaeldelio.com/2025/02/24/s... Check out our essential guide to see if the Token Bucket is the right implementation for you:    • Rate limiting with Redis: An essentia...   Explore other rate limiter algorithms: Fixed Window Counter:    • Fixed Window Counter Rate Limiter (Re...   Token Bucket:    • Token Bucket Rate Limiter (Redis & Java)   Sliding Window Log:    • Sliding Window Log Rate Limiter (Redi...