This article explains the cache‑stampede problem when hot Redis keys expire under massive traffic, illustrates why simple caching fails, and presents a mutex‑lock solution with Go code to safely rebuild caches while protecting the database.
The article explains cache penetration, describes how to prevent it using a Redis‑based mutex lock and a logical expiration strategy, provides complete Java code examples for both approaches, compares their trade‑offs, and shows performance testing results under high concurrency.
This article explains the concept of cache breakdown, illustrates why malicious requests can bypass caches and overload databases, and presents three practical mitigation techniques—using a Redis SETNX‑based mutex lock, asynchronous cache rebuilding, and a Bloom filter—along with their advantages, drawbacks, and performance testing results.
