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Explains how an API behaves when Redis is unavailable and which cache usages can safely fall back.
Explains cache observability across hit rate, latency, source load, memory, evictions, stale data, and fallback behavior.
Explains why Redis connections are reused, how timeouts protect API threads, and how to diagnose client-side Redis pressure.
Explains session state choices for scaled-out ASP.NET Core APIs and when Redis-backed state is appropriate.