The article explains that @CachePut serves as a trigger to update or add cache entries in Spring Cache, contrasting its behavior with @Cacheable, detailing execution flow, handling of null results, and the recommendation against using both annotations on the same method.
The article explains how Spring Cache, introduced after Spring 3.1, uses the @Cacheable annotation to declaratively cache method results, detailing each attribute such as cacheNames, key, keyGenerator, and unless, with code examples illustrating key generation and conditional caching.
This article walks through eight practical Spring Boot 3 caching techniques—including @Cacheable, @CacheEvict, custom key generators, multi‑level caches, TTL, conditional caching, and async refresh—providing code snippets and diagrams to help developers boost application performance.
This article explains how SpringBoot’s @Cacheable annotation automates cache handling, reducing boilerplate code, improving performance, and simplifying maintenance, while also covering related annotations like @CacheEvict and @CachePut, with practical code examples for user and product data caching in real-world applications.
This tutorial explains why caching is essential for growing Spring Boot applications, walks through adding Spring's annotation‑based cache support to an existing Spring Data JPA project, and details the key cache annotations, configuration steps, and observable performance improvements.
