Tagged articles

Logical Expiration

3 articles · Page 1 of 1

Oct 7, 2026 · Backend Development

Mastering High-Concurrency Caching: Penetration, Breakdown, Avalanche & Hot Keys

This article explains four classic high-concurrency caching problems—cache penetration, breakdown, avalanche, and hot keys—their root causes, differences, and practical solutions including empty-value caching, Bloom filters, mutex locks, logical expiration, TTL jitter, multi-level caching, and cache-database consistency patterns.

Bloom filterCache AsideCaching

0 likes · 12 min read

Mastering High-Concurrency Caching: Penetration, Breakdown, Avalanche & Hot Keys

Programmer XiaoFu

Jun 15, 2026 · Backend Development

Why a Simple Redis Mutex Lock Isn’t Enough for Cache Breakdown – When to Use Never‑Expire or Logical Expiration

The article analyzes why a basic Redis mutex lock can cause thread blocking, latency spikes, and service collapse under high concurrency, and compares it with logical expiration and never‑expire with proactive updates, explaining their trade‑offs and how to choose the right cache‑breakdown mitigation strategy.

CacheJavaLogical Expiration

0 likes · 12 min read

Why a Simple Redis Mutex Lock Isn’t Enough for Cache Breakdown – When to Use Never‑Expire or Logical Expiration

Selected Java Interview Questions

Jul 27, 2023 · Backend Development

Preventing Cache Penetration with Mutex Locks and Logical Expiration in Redis (Java)

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.

CacheLogical ExpirationMutex Lock

0 likes · 10 min read

Preventing Cache Penetration with Mutex Locks and Logical Expiration in Redis (Java)