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Explains how an API behaves when Redis is unavailable and which cache usages can safely fall back.
Explains what happens when roles or tenant membership change while access tokens still contain old claims.
Explains initial incident triage: confirm impact, mitigate, assign roles, preserve evidence, and communicate.
Explains why application-level duplicate checks are not enough and how EF Core APIs map database constraints to friendly errors.
Connects EF Core change tracking to object retention, query shape, projections, and read-only API performance.
Shows how publisher-to-subscriber references can retain objects and how to clean up event-based lifetimes.
Focuses on ToList chains, collection capacity, repeated enumeration, and memory-aware data shaping.
Explains staging slots, validation before swap, warm-up, traffic continuity, and safer production releases for App Service APIs.
Explains controller actions, result types, status codes, thin controllers, and HTTP response generation.
Explains transient, scoped, and singleton lifetimes in ASP.NET Core APIs and production bugs caused by wrong lifetime choices.
Explains how App Service plans provide compute capacity, how scale-out affects app instances, and why APIs need stateless design.
Introduces managed heap cleanup, generational collection, object lifetime, and why allocation behavior affects .NET services.
Explains endpoint routing, route templates, HTTP method matching, endpoint metadata, and ambiguity problems.
Connects API query shape to index order, selectivity, execution plans, write cost, and safe production rollout.
Explains how App Service can resolve Key Vault references through managed identity and what to watch during rotation and environment setup.
Explains SQL joins for API response shapes with practical .NET data-access examples and production trade-offs.
Draws a short atomic database boundary around one invariant while moving network side effects into explicit, recoverable workflow states.
Explains EF Core query performance diagnostics with practical .NET data-access examples and production trade-offs.
Explains safe EF Core migrations with practical .NET data-access examples and production trade-offs.
Explains semantic versioning for .NET applications and how it communicates release impact.
Explains transient database errors, retry strategy, EF Core execution strategy, idempotency, timeouts, and avoiding retry storms.
Propagates request cancellation through async dependencies while keeping committed side effects and timeout policy explicit.
Covers App Service app settings, environment-specific configuration, restarts, slot settings, and avoiding hard-coded production values.
Explains DbContext lifetime and unit-of-work boundaries with practical .NET data-access examples and production trade-offs.