Bloom filters: the niche trick behind a 16× faster API

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A detailed technical walkthrough of optimizing an API endpoint from 5s to 0.3s P95 latency using bloom filters. The post explains how bloom filters work as probabilistic data structures, compares them against GIN indexes for filtering JSONB data in Postgres, and demonstrates how combining bloom filters with time-based

17m read timeFrom incident.io
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Table of contents
IntroHow filtering works (and why it was slow)How to go fasterWhat the hell is a bloom filter?Bloomin’ attribute filtersGIN vs bloomTime makes fools of us allConclusion

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