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Distributed Rate Limiter with Sliding Window Algorithm

redis distributed-systems rate-limiting microservices
Prompt
Design a distributed rate limiting system using Redis that implements a sliding window algorithm for controlling API request rates across multiple microservices. Create a reusable middleware that tracks request rates per user/IP, supports configurable rate limits (requests per minute/second), and provides automatic throttling with exponential backoff. Implement proper distributed locking to prevent race conditions and ensure thread-safety.
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TypeScript
Technology
Feb 28, 2026

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Tool
Ai Chat
Details
Category Pro
Purpose Coding
Platform TypeScript
Industry Technology
Added Feb 28, 2026
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Use Cases
  • Implementing rate limiting in an API to manage traffic.
  • Creating a service that prevents DDoS attacks.
  • Optimizing server performance with request management.
Tips for Best Results
  • Choose the right algorithm based on your application needs.
  • Monitor usage patterns to adjust limits effectively.
  • Test your implementation under various load conditions.

Frequently Asked Questions

What is a distributed rate limiter?
It's a system that controls the rate of requests in distributed applications.
How does the sliding window algorithm work?
It limits requests over a specified time frame to prevent overload.
Why use a rate limiter?
To ensure fair usage and protect resources from abuse.

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