Use a distributed store like Redis with Spring Data Redis to synchronize rate-limiting counters across microservices in a Kubernetes-based Spring application. Redis acts as a centralized counter to ensure consistency across all instances. Here are the few steps you can refer:
- Add Redis Dependency
- Service Implementation
- Controller Usage
Here is the code reference you can take:



In the above code, we are using Redis, which acts as a centralized store for rate-limiting counters; ZSET uses Redis' ZSET to track timestamps for sliding window rate-limiting, and Kubernetes Ensures all microservices share the same Redis backend for consistent counters across pods.
Hence, by referring to the above, you can synchronize rate-limiting counters across microservices in a Kubernetes-based Spring application.