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Rate Limiting in Java: Implementing Per-User Throttling with Redis Buckets

To protect APIs from abuse and ensure fair usage, rate limiting is essential. It prevents users or clients from overwhelming the system by enforcing a limit on how often they can call your APIs. In this guide, you’ll learn how to implement per-user throttling in Java using Spring Boot and Redis, using the token bucket …

May 23, 2025 - 18:20
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Rate Limiting in Java: Implementing Per-User Throttling with Redis Buckets
To protect APIs from abuse and ensure fair usage, rate limiting is essential. It prevents users or clients from overwhelming the system by enforcing a limit on how often they can call your APIs. In this guide, you’ll learn how to implement per-user throttling in Java using Spring Boot and Redis, using the token bucket …
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