We've all been there - our Spring Boot REST API is performing well, handling a decent amount of traffic, when suddenly we're hit with a massive influx of requests, causing our servers to slow down or even crash. This is where spring boot rate limiting comes into play, helping us protect our APIs from abuse and ensuring a smooth user experience. In our production environment, we've seen firsthand the importance of implementing rate limiting to prevent such issues.
Introduction to Rate Limiting
Why Use Bucket4j
Configuring Redis for Rate Limiting
Implementing Rate Limiting in Spring Boot
