Architecture

Your app performs well with MemoryCache for 1K users. But when traffic scales to 10K users across three load-balanced servers, cache misses explode and response times spike to 800ms. I’ve seen production APIs crash under load because the team relied solely on MemoryCache. Here’s how we fixed it with hybrid caching strategies that combine the speed of local memory with the consistency of distributed cache. TL;DR MemoryCache works for single servers but fails in distributed environments Hybrid caching uses MemoryCache (L1) + Redis (L2) for best performance Multi-tenant apps need tenant-scoped cache keys to prevent data leakage System.Text.Json provides the best balance of performance and debuggability Monitor cache hit ratios per tenant and cache level for optimal tuning MemoryCache works great for single-server applications, but it hits hard limits in distributed environments. This guide covers hybrid caching strategies that keep your multi-tenant ASP.NET Core apps fast and scalable, with real benchmarks and production-ready code. ...