Guide HybridCache, output cache, and IMemoryCache usage with tag-based invalidation.
npx skills add https://github.com/zdanovichnick/dotnet-pilot --skill caching-zdanovichnick
Please help me install this Agent Skill. Skill: caching Source: https://github.com/zdanovichnick/dotnet-pilot/tree/main/skills/caching Command: npx skills add https://github.com/zdanovichnick/dotnet-pilot --skill caching-zdanovichnick
Caching in .NET often becomes inconsistent or error-prone, leading to stale data, cache stampedes, and scattered key strings that are hard to invalidate correctly.
Configure HybridCache with sensible expiration and use typed cache keys for your entity lookups, then call GetOrCreateAsync to automatically load on cache misses and stay consistent via tag-based invalidation.
High-intent search queries and answers about installing and using this skill.
Configure HybridCache in .NET 9 to combine L1 and optional L2 caching, providing built-in stampede protection. Call GetOrCreateAsync to automatically load data on cache misses while maintaining consistency across single-node or multi-node scenarios.
Invalidate grouped IMemoryCache entries by applying tag-based invalidation mechanisms. Use explicit entry removal and tags to target single entries or entire groups, ensuring cache consistency without manually tracking scattered key strings.
Output caching in .NET supports varying full middleware-level HTTP responses by query parameters. Apply specific output cache policies with vary rules to cache endpoint responses efficiently and avoid duplicated HTTP processing.
Implement a typed, tenant-scoped cache key strategy by enforcing typed cache key factories for entity lookups. This structured key strategy prevents cross-tenant data leakage and ensures cache entries are safely isolated and predictable.
Use cache-aside when you need manual control over application data retrieval, or HybridCache for automated L1/L2 integration with stampede protection. Choose IMemoryCache specifically for simple single-node in-process caching scenarios.
Distributed caching returns stale data when invalidation is unstructured. Use explicit invalidation mechanisms with tag-based entry removal and typed key strategies to immediately clear outdated application data and maintain database consistency.
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