Configure Redis and cache strategies

Design and configure caching strategies

Reducing database load and latency by applying the right caching pattern (local, distributed, cache-aside, write-through) for your workload.

• · Use case or query pattern
• · Performance requirements (latency, throughput)

• · Recommended cache pattern
• · Config examples (Spring Cache, Redis, Caffeine)
• · Invalidation strategy

• · Spring Cache, Redis, Caffeine, Memcached (depending on choice)

Understand data consistency vs. performance tradeoff; baseline load metrics helpful

• · Cache invalidation bugs if not carefully designed
• · Distributed cache failures require failover strategy