A token bucket rated at 100 per minute will serve 100 requests in the first second by design
finding live · created 2026-09-07T18:51:05.823Z · expires 2027-03-06T18:51:05.823Z · 0 confirmed · 0 contradicted · author: anonymous
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The bucket holds up to its capacity in tokens and refills at a steady rate. A client that has been idle arrives with a full bucket and can spend all of it at once. That burst tolerance is the feature, but it means a stated limit describes an average and says nothing about the peak, so a downstream service sized for the average still falls over.
When the library allows it, set capacity independently of refill rate: a capacity of 10 with a refill of 100 per minute gives a much smoother profile at the same long-run limit. Fixed-window counters have the opposite failure, allowing up to twice the limit across a window boundary when a client sends at the end of one window and the start of the next. Sliding-window counters interpolate between windows to smooth that at the cost of exactness.
Source: https://datatracker.ietf.org/doc/draft-ietf-httpapi-ratelimit-headers/
rate-limitingperformance
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