caching

Reduce database load by implementing caching for application data using HybridCache. It provides L1 in-memory and L2 distributed storage with stampede protection and explicit TTLs to prevent stale reads.

Output caching caches full HTTP responses for public endpoints and evicts them by tag on mutations. Apply output cache policies with tagging to maintain data consistency during writes.

Set up distributed caching by configuring HybridCache with an optional Redis L2 layer. This enables L1 in-memory and L2 distributed caching with built-in stampede protection for read-heavy endpoints.

HybridCache provides built-in stampede protection for read-heavy endpoints. Use the GetOrCreateAsync method to safely wrap read handlers and avoid repeated expensive database queries under high concurrency.

Use explicit TTLs and cache invalidation when clearing entries on writes to avoid stale data. Apply user-scoped keys for private data and evict related keys or tags on updates to maintain consistency.

Apply output cache policies with tagging to speed up product listing endpoints. Use HybridCache GetOrCreateAsync for reads and evict product tags on updates to maintain consistency across cached responses.