How can you combine the fixed window algorithm with caching to improve performance in a distributed REST API?

hard📝 Application Q9 of 15

Rest API - Rate Limiting and Throttling

ADisable rate limiting when cache is unavailable

BCalculate counts on each request without caching

CUse local memory counters only on one server

DStore counters and window start times in a fast distributed cache like Redis

Step-by-Step Solution

Solution:

Step 1: Understand distributed environment needs
Multiple servers need shared state to track request counts consistently.
Step 2: Use caching for shared counters
Using a fast distributed cache like Redis allows all servers to access and update counters.
Final Answer:
Store counters and window start times in a fast distributed cache like Redis -> Option D
Quick Check:
Distributed cache enables consistent rate limiting [OK]

Quick Trick: Use distributed cache for shared counters [OK]

Common Mistakes:

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