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Makes EF Core transient retries safe across transactions, uncertain commits, generated keys, and external side effects.
Explains optimistic concurrency with EF Core rowversion tokens, API conflict responses, and safe retry boundaries.
Defines what happens when several operations fail, cancellation arrives, or only part of a parallel batch completes, without orphaning work or hiding errors.
Keeps long-running queue work safe when message ownership expires, renewal fails, settlement is uncertain, or another worker receives the same job.
Explains Redis memory pressure, eviction policies, key sizing, TTL discipline, and what happens when the cache is full.
Explains how an API behaves when Redis is unavailable and which cache usages can safely fall back.
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.
Separates process start from readiness, coordinates hosted-service startup, and drains work within a bounded shutdown window.
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.
Explains how App Service can resolve Key Vault references through managed identity and what to watch during rotation and environment setup.
Explains when to capture dumps, what to compare, and how to use roots without turning dumps into guesswork.
Explains per-worker memory and copy-on-write savings without preloading process-unsafe resources.
Produces a pinned, reviewable Python artifact once and promotes the same image across environments.
Propagates trace and observation context through supported clients and executor boundaries without passing framework state manually.
Explains safe EF Core migrations with practical .NET data-access examples and production trade-offs.
Trusts proxy-derived scheme, host, and client data only from known hops and configures externally visible paths correctly.
Explains transient database errors, retry strategy, EF Core execution strategy, idempotency, timeouts, and avoiding retry storms.
Coordinates readiness, signals, request drain, lifespan cleanup, and a bounded termination deadline.
Separates stale checkout protection, connection aging, pool waits, statement timeouts, and uncertain transactions.
Uses FastAPI lifespan to create and close process-owned resources around request serving.
Treats Python web workers as measured processes with separate memory, lifecycle, and failure boundaries.
Covers allocation rate, collection frequency, latency symptoms, and safe production steps for GC-heavy services.