spring-boot-cache

Add Spring Boot caching by enabling caching, configuring a CacheManager bean, and annotating service methods with @Cacheable, @CachePut, or @CacheEvict to transparently cache results and reduce repeated expensive method executions.

Yes, Redis supports distributed caching across multiple Spring Boot instances. Configure Redis as your CacheManager provider to share cached data across instances, while CaffeineCacheManager provides low-latency local in-memory caching for single-instance deployments.

Configure cache eviction and TTL by setting capacity limits and expiration policies on your CacheManager provider. Use @CacheEvict annotations for declarative eviction, schedule evictions programmatically, or configure TTL settings on Caffeine, Redis, Ehcache, or JCache providers.

Yes, Spring Boot caching integrates with Actuator and Micrometer to expose cache metrics for observability. Monitor cache hits, misses, and eviction statistics through Actuator endpoints to evaluate cache effectiveness and tune performance.

Warm caches at startup by scheduling cache initialization logic that pre-populates cache entries before serving requests. Combine this with configurable CacheManager beans and eviction strategies to maintain optimal cache state throughout application lifecycle.

Avoid annotation-driven caching when methods have highly volatile data requiring strong consistency, when cache key semantics become too complex for declarative annotations, or when transactional interactions between @Cacheable and database operations create stale data risks.