The article explains why the default SpringBoot cache manager is insufficient for production, then walks through creating custom Caffeine and Redis CacheManager beans, configuring expiration, key prefixes, serialization, and multi‑level caching to solve issues like cache penetration, key collisions, and performance bottlenecks.
This article explains Spark SQL's CacheManager, how it stores cached query results using InMemoryRelation, the ways to trigger and release caches, the internal data structures like IndexedSeq and CachedData, and the role of canonicalization in determining cache reuse.
This article explains how Spring Boot automatically detects cache providers, shows how to replace the default ConcurrentHashMap with EhCache by adding the dependency, configuring ehcache.xml, and verifying the CacheManager type through unit tests, providing complete code examples and step‑by‑step instructions.
This article explains Spring's annotation‑based caching, analyzes why the default cache key collides in multi‑tenant scenarios, shows how to embed tenant identifiers into keys, and provides a custom CacheManager implementation that parses TTL from the cache name and applies it to Redis entries.
