This article explains why caching is a performance trade‑off, outlines essential cache features such as size limits, eviction policies, TTL, configuration, integration APIs, and distributed versus local modes, and provides a comprehensive checklist for evaluating cache providers.
This article explains Spring Boot's caching mechanism based on the JSR‑107 JCache specification, details core interfaces and implementations like Cache, AbstractValueAdaptingCache, and ConcurrentMapCache, demonstrates cache annotations such as @Cacheable, @CachePut and @CacheEvict, and shows how to replace the default in‑memory cache with Redis using Docker, StringRedisTemplate, and custom serialization.
This article explains Spring Boot caching by introducing the JSR‑107 JCache specification, detailing core cache interfaces, showing the Spring Cache abstraction and its implementations, demonstrating cache annotations such as @Cacheable, @CachePut and @CacheEvict, and finally covering Redis setup and custom CacheManager usage.
This article explains why caching is essential for Java distributed applications, introduces Redis as an in‑memory data store, and demonstrates how the Redisson framework provides distributed cache implementations—including RMapCache, Spring Cache integration, and JCache support—complete with code examples and configuration details.
This article explains why caching is essential for Java distributed applications, introduces Redis and Redisson, and demonstrates how to implement distributed caches using Redisson Maps, Spring Cache integration, and the JCache API with practical code examples.
