caching-strategist

To implement a cache-aside strategy, you load data into the cache on demand, setting explicit TTLs and invalidation triggers. The Skill provides concrete code examples for Redis and application caches, enforcing key naming standards and monitoring hooks for correct implementation.

You can use Redis for application caching alongside CDN edge caching and database cache layers. The strategy applies to backend services and APIs that require fast data access, providing clear TTL guidance and key naming standards for each distinct cache layer.

Layered caching distinguishes itself by managing multiple tiers simultaneously—CDN, application cache, database cache, and client cache—rather than a single layer. It enforces specific TTL guidance, invalidation triggers, and key naming standards for each tier to maintain data correctness across systems.

Cached data becomes stale when invalidation triggers fail to synchronize with database updates. You fix invalidation issues by enforcing strict cache invalidation protocols and TTL strategies, utilizing monitoring hooks to track cache correctness and trigger immediate data refreshes.