Chapter plan
What you will complete
01Understand What Spring Cache Does—and Does Not DoTrace annotation interception, key resolution, provider calls, and proxy limitations.Choose an explicit cache boundaryUse stable collision-resistant keysRemember that self-invocation may bypass caching proxies 35 min02Design Redis Caching for ConsistencyChoose TTL, invalidation, serialization, and degraded behavior for a multi-instance service.Cache DTO-like values rather than managed entitiesEvict only after the source-of-truth write succeedsBound staleness and monitor hit, miss, and load latency 45 min03Prevent Key Leaks, Stampedes & HotspotsHandle tenant isolation, concurrent misses, hot keys, negative caching, and bounded memory.Namespace by environment and tenantUse jittered TTLs or single-flight loading where neededNever cache authorization decisions across the wrong identity boundary 40 min04Production Implementation: Redis Cache-Aside CatalogWire the cache-aside slice end to end: namespaced keys, TTL bounds, DTO-only storage, and eviction on every write path.Cache read-model DTOs, never managed entitiesBound every entry with an explicit TTLEvict or update on the same transaction that writes 45 min
Module outcome
Select cacheable reads, design keys and TTLs, and make invalidation observable.
Mental model
A cache is a deliberately stale derived-data store; the source of truth and freshness contract must stay explicit.
Module checkpoint
Cached product catalog
Add Redis-backed cache-aside reads with measured hit ratio and safe invalidation.
- Key namespace design
- TTL rationale
- Stale-read and cache-outage tests
Final module assessment
Ready to prove mastery?
Complete all 50 questions after finishing the module lessons and checkpoint.