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Caching is a technical category covering books that explain the principles, architecture, implementation and trade‑offs of temporary storage used to speed access to data and resources—ranging from CPU and OS caches through database, in‑memory and CDN caches to application‑level and distributed caching systems (e.g., Redis, Memcached). Titles in this category typically address core topics such as eviction policies (LRU, LFU), invalidation and TTL, consistency and coherence, cache warm‑up and stampede prevention, benchmarking and performance tuning, security/privacy implications, and real‑world case studies and patterns/anti‑patterns for improving latency and scalability. Materials span introductory guides for developers and system designers to advanced treatments of algorithms, distributed systems theory and production deployment concerns, making the category useful for students, software engineers and architects. (Note: in some collections, “Caching” may also include non‑computing uses of the term, such as geocaching or logistics/warehousing caches, which would form distinct subtopics.)

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