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+Prompt: Design a distributed rate limiter that works across multiple servers without a central coordinator. Use a sliding window algorithm. Handle clock skew between nodes. Show the implementation.
+
+Generated:
+Design a distributed rate limiter that works across multiple servers without a central coordinator. Use a sliding window algorithm. Handle clock skew between nodes. Show the implementation.
+
+<think>
+This is an interesting problem about designing a distributed rate limiter. Let me break down the requirements:
+
+1. **Distributed system**: Multiple servers, no central coordinator
+2. **Sliding window algorithm**: More accurate than fixed windows for rate limiting
+3. **Clock skew handling**: Different servers may have slightly different clocks
+4. **Implementation**: Need to show actual code
+
+Key challenges:
+- Without a central coordinator, we need consensus or eventual consistency
+- Clock skew can cause over/under counting of requests
+- Sliding window needs more state tracking than fixed windows
+
+Solutions I'll implement:
+1. **Use Redis as shared state store** (common pattern - while it's centralized storage, each node can access it independently)
+   - Actually, let me reconsider - if they want truly no central coordinator, I should use gossip protocol or vector clocks
+   
+2. **Better approach for "no central coordinator"**: Use a combination of:
+