A cache stampede is one of those failures that stays hidden until traffic is high, then takes down your database at the worst possible moment. A popular cached key expires, and in the brief instant before it's repopulated, hundreds of concurrent requests all miss and all hit the database at once to rebuild the same value. The cache, which existed to protect the database, momentarily stops protecting it precisely when load is highest. This article covers why it happens and the three techniques that prevent it.
This is part 14 of the Redis Masterclass, following
About the author
Aman Kumar Singh is a Team Lead & Senior Software Engineer based in Noida, India, writing about full-stack engineering, system design, and production SaaS with TypeScript, Next.js, NestJS, PostgreSQL, and Redis.
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