query-caching-strategies

SKILL.md

Implement multi-level caching strategies using Redis, Memcached, and database-level caching. Covers cache invalidation, TTL strategies, and cache warming patterns.

| Application-level | Flexible, fine-grained control | More code, consistency challenges | | Database-level | Transparent, automatic | Less flexibility | | Distributed cache | High throughput, scale | Extra complexity, network latency | | Materialized views | Complex queries, aggregations | Manual refresh needed |

✅ DO implement cache warming ✅ DO monitor cache hit rates ✅ DO use appropriate TTLs ✅ DO implement cache invalidation ✅ DO plan for cache failures ✅ DO test cache scenarios

성능을 향상시키기 위해 쿼리 캐싱 전략을 구현합니다. 캐싱 계층을 설정하거나 Redis를 구성하거나 데이터베이스 쿼리 응답 시간을 최적화할 때 사용합니다. 출처: aj-geddes/useful-ai-prompts.

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