How a Token Bucket Algorithm Solves API Rate Limiting Better Than Fixed Windows

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A software developer shares how a sudden traffic spike causing HTTP 429 errors exposed the weaknesses of a fixed-window rate limiter in their API. The fixed-window approach either allowed too many requests in a burst or blocked all traffic for an entire minute once the quota was exhausted. The token bucket algorithm offers a more elegant solution by continuously dripping tokens into a fixed-capacity bucket, where each request consumes one token and is rejected only when the bucket is empty. This design tolerates short bursts, throttles traffic smoothly, and requires tracking only two values per key, making it memory-efficient. The author walks through a Python implementation to illustrate how the token bucket outperforms the fixed-window counter in real-world traffic scenarios.

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