Implement Two-Level Cache With Spring

Date: 2024-05-27

This article details implementing a two-level caching system in Spring using Caffeine (for in-memory, first-level caching) and Redis (for distributed, second-level caching). The first level caches data locally within a single application instance for speed, while the second level allows multiple instances to share cached data, ensuring consistency. The article provides code examples using annotations like @EnableCaching and @Cacheable, along with configuration for both Caffeine and Redis. Integration tests verify the caching mechanism's functionality, measuring execution times for cache hits and misses. This approach balances speed and scalability for improved application performance.

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