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Cache Stampede Chaos

Redis went down. Now every request is hammering your database.

The Scenario

Your Redis cache was restarted after a maintenance window. When it came back up, every single request hit the database simultaneously because the cache was empty. The database CPU spiked to 100%, queries are timing out, and the cache can't rebuild because the database is too slow to respond. You're in a thundering herd spiral.

What You'll Learn

1

Understanding the thundering herd / cache stampede problem

2

Using cache warming, staggered TTLs, and request coalescing

3

Diagnosing database overload from cache misses

4

Implementing circuit breakers and graceful degradation

Tools You'll Use

Redis CLIDatabase metricsCache hit/miss ratesApplication logs

Real-World Context

The thundering herd problem has taken down Reddit, Facebook, and Wikipedia. It's a classic distributed systems failure that every caching layer must handle.

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