epic-caching

Layered caching with cachified uses a SQLite cache with LiteFS replication alongside an in-memory LRU cache to reduce latency and database load. You wire cache helpers into data fetchers to wrap external API calls and expensive database queries.

Stale-while-revalidate is useful for caching expensive database queries when you want to serve stale data immediately while fetching fresh data in the background. This pattern reduces latency and database load during high-traffic periods.

Cachified supports cache invalidation after mutations. The Skill provides patterns for invalidating cached data following database updates or deletions to maintain data consistency.

Yes, LiteFS enables multi-region SQLite cache replication. The Skill covers multi-region cache considerations, allowing you to distribute your SQLite cache across regions while maintaining consistency and reducing latency for global users.

You validate cached API responses with Zod by defining schemas that cachified uses to validate data structure on retrieval. This ensures cached data matches expected formats, preventing runtime errors from stale or corrupted cache entries.

Monitoring cache performance with server timing involves integrating cachified with server-timing headers to measure cache hit and miss durations. This helps identify slow fetches and verify that caching reduces overall response latency.