caching-patterns

Multi-layer caching for React or Next.js apps stores data across browser, CDN, application, and database layers. You configure TTLs, cache-control policies, and invalidation workflows to balance content freshness with performance.

The stale-while-revalidate caching pattern serves stale cached content immediately while fetching fresh data in the background. This improves web performance by reducing latency for dynamic pages and API responses.

Cache invalidation and TTL management across CDN and browser caches require well-defined key naming and cache-control policies. You configure invalidation workflows and expiration rules for each caching layer to maintain data freshness.

Redis fits the application layer of a multi-layer caching strategy. You combine Redis with browser and CDN caches, applying TTLs and stale-while-revalidate support to accelerate dynamic content and API responses.

Setting up cache-control policies involves defining appropriate TTLs and invalidation rules separately for static assets and dynamic content. This ensures optimal cache hit rates across edge and server caches without serving outdated data.

You should avoid stale-while-revalidate for API responses requiring strict real-time consistency. In these cases, rely on direct database queries or shorter TTLs with immediate invalidation workflows to prevent serving outdated data.