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System Design Intermediate Pro

Rate Limiting

Choose the right algorithm, enforce it across a fleet, and design a rate limiter that survives its own failures

25 min read 12 views

Compare token bucket, leaky bucket, fixed window, sliding log and sliding window counter with worked numbers, then design a distributed rate limiter on Redis, handle 429 responses correctly, and reason about fail-open versus fail-closed when the limiter itself is down.

Practice questions (5)

  • Fixed Window Boundary Burst

    Intermediate · Free
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  • Distributed Rate Limiting Race Condition

    Advanced
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  • Configuring a Token Bucket for Burst and Sustained Rate

    Intermediate
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  • Redis Outage: Fail-Open vs Fail-Closed

    Advanced
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  • Rate Limiting vs Load Shedding vs Circuit Breaking

    Intermediate
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