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Protect your Spring Boot microservices from abuse, resource exhaustion, and cascading failures by implementing robust, distributed API rate limiting using Redis and the Token Bucket algorithm.
Redis
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This post deep dives into advanced caching techniques, from local in-memory solutions to distributed caches with Redis, and tackles crucial invalidation strategies using Apache Kafka to dramatically improve Spring Boot microservice performance and resilience.