Caching is a fundamental technique for improving application performance by storing frequently accessed data in fast storage layers. Understanding different cache patterns and caching strategies is crucial for building scalable and efficient systems. This article explores cache patterns like Cache Aside, Read Through, Write Through, Write Back, and Write Around, along with common caching strategies including spatial, temporal, and distributed caching ...
Read More10.01.2026Effective cache management requires understanding when and how to remove data from the cache. Cache eviction policies determine which items to remove when the cache reaches capacity, while cache invalidation strategies handle removing stale or outdated data. This article explores common eviction policies including LRU, LFU, FIFO, TTL, ARC, and LRFU, along with cache invalidation approaches ...
Read More10.01.2026Choosing the right caching tool is crucial for building performant applications. Different tools serve different purposes: server-side caching for cross-user data, client-side caching for per-user sessions, and embedded databases for reactive UI updates. This article explores popular caching tools including Redis, TanStack Query, TanStack DB, IndexedDB, AWS ElastiCache, and AWS MemoryDB ...
Read More10.01.2026