Tencent Cloud Developer
Sep 6, 2022 · Backend Development
Understanding Rate Limiting in Distributed Systems: Algorithms and Best Practices
Rate limiting safeguards distributed systems by controlling request rates through algorithms such as leaky bucket, token bucket, fixed and sliding windows, and back pressure, while client‑side tactics like exponential backoff, jitter, and careful retries, and requires atomic distributed storage solutions (e.g., Redis+Lua) to avoid race conditions.
Back-pressureDistributed SystemsSystem Design
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