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Token Bucket 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 Token Bucket algorithm, a flexible and widely-used 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 Token Bucket algorithm works and its advantages. Using Redis commands like GET, SET, and MULTI/EXEC to manage token consumption. 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 00:27 How the Token Bucket algorithm works 01:09 How Redis fits into the picture 01:31 Implementing it with Redis and Java/Jedis 04:00 Testing the algorithm 07:02 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/2025/01/13/t... 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...   Sliding Window Log:    • Sliding Window Log Rate Limiter (Redi...   Sliding Window Counter:    • Sliding Window Counter Rate Limiter (...