Caching Strategies
Patterns for caching application data — cache-aside, write-through, write-behind — eviction policies, TTL design, and cache stampede prevention in Spring Boot with Redis.
Patterns for caching application data — cache-aside, write-through, write-behind — eviction policies, TTL design, and cache stampede prevention in Spring Boot with Redis.
CAP theorem, BASE properties, and when to choose Redis, MongoDB, Cassandra, or Elasticsearch over a relational database.
Hands-on Spring Boot examples for Redis caching, MongoDB document CRUD, and Spring Cache abstraction.
How Spring's cache abstraction works with @Cacheable, @CacheEvict, @CachePut, and @Caching, plus integrating Caffeine and Redis as backing stores.