Redis Caching Patterns: Cache-Aside, Write-Through and the Stampede Problem
How common Redis caching patterns work, where they fail, and how to prevent cache stampedes, with runnable Python examples and reproducible simulations.

How common Redis caching patterns work, where they fail, and how to prevent cache stampedes, with runnable Python examples and reproducible simulations.

How each pattern moves data between your app, cache, and database, and how to pick the right one for your read/write mix.

How fixed windows, sliding windows, token buckets and leaky buckets work, where each one breaks, and how to pick the right one for your API.

A tour of the single-threaded, in-memory engine behind a surprising share of the internet, and the one bet that explains almost every design choice in it.

How "username already taken" appears so fast: a canonical key, a Bloom filter, a Redis cache and a PostgreSQL unique index, built and measured.

A step-by-step build of a Redis clone in about 340 lines of standard library Python, with key expiry, atomic counters, and 43 tests.
