Cache Strategies: Consistency Issues, Penetration, Avalanche and Mitigation Techniques

The article explains why high‑frequency disk reads can become a performance bottleneck, introduces common caching patterns such as Cache‑Aside, Read‑Through, Write‑Through and Write‑Behind, discusses consistency problems, cache penetration and avalanche, and presents practical solutions like null‑caching, Bloom filters, distributed locks, staggered TTLs, Redis‑Cluster and Hystrix.

Backendcache-avalanchecache-consistency

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Cache Strategies: Consistency Issues, Penetration, Avalanche and Mitigation Techniques

Senior Brother's Insights

Sep 2, 2018 · Backend Development

Understanding and Solving Common Cache Problems: Consistency, Concurrency, Penetration, and More

This article explains the major cache challenges—including consistency, concurrency, penetration, jitter, avalanche, and the so‑called bottomless‑pit phenomenon—describes why they occur in high‑traffic systems, and offers practical mitigation techniques such as locking, empty‑object caching, request filtering, sharding, and multi‑level caching.

Consistencycache-avalanchecache-penetration

0 likes · 7 min read

Understanding and Solving Common Cache Problems: Consistency, Concurrency, Penetration, and More