advanced~2h

Caching with Redis

Your REST API works and is secured. Now it needs to survive real traffic without hammering Postgres for the same query a thousand times a second.

Learning objectives

  • Beginner: @Cacheable on a single, read-heavy, rarely-changing lookup endpoint with a conservative TTL.
  • Intermediate: Matching @CacheEvict on every write path that touches cached data, verified by an integration test that writes then re-reads and confirms fresh data.
  • Advanced: A deliberate TTL + eviction strategy tuned per data type based on actual staleness tolerance (e.g. seconds for pricing data, hours for rarely-changing catalog metadata), monitored via cache hit-rate metrics.

This is a Pro chapter

Sign in, then upgrade to Pro or Power to unlock this and the full Spring Ecosystem Mastery library.

Caching with Redis

Next Step

Continue to Introduction to Microservices← Back to all Spring Boot chapters