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Turns a production-only role and payload failure into the smallest durable API regression test.
Separates application composition in AppHost from reusable in-process defaults for telemetry, health, resilience, and service discovery.
Explains rate-limit identity, endpoint cost, login and suggestion throttles, Redis counters, user experience, and observability.
Explains why sensitive admin actions need authorization, reason capture, before/after context, and tamper-resistant audit records.
Explains API keys, client credentials, managed identity, mTLS, scopes, rotation, and per-client observability.
Explains trusted tenant context, membership checks, tenant-scoped queries, cache keys, and background job propagation.
Checks health, authentication, and one critical read flow after deployment without creating persistent business data.
Explains dependency duration, error rate, timeout rate, query tagging, Redis latency, HTTP downstream calls, and endpoint correlation.
Explains partition key selection for ordering, load distribution, hot keys, and consumer scalability.
Chooses heap-focused GC evidence or complete process state based on memory growth, roots, hangs, crashes, locks, and collection risk.
Maps business invariants and stale-data tolerance to strong or eventual consistency, explicit failure behavior, reconciliation, and user-visible state.
Reason through mitigation choices during a live App Service production incident.
Compares rollback, roll-forward, feature kill switches, scaling, and degraded mode as incident mitigations.
Chooses a deployment strategy from capacity, compatibility, risk, observability, and rollback needs, then defines progressive promotion and abort signals.
Chooses counters, traces, stack snapshots, GC dumps, full dumps, or a profiler from the production symptom and investigation cost.
Designs controlled diagnostic access, collection triggers, container permissions, artifact egress, privacy, retention, and post-capture verification.
Designs a narrow covering index from predicates and ordering, then weighs eliminated lookups against storage, write overhead, cache efficiency, overlap, and maintenance cost.
Explains when CSRF matters, how cookies change browser behavior, and what mitigations fit API clients.
Compares vendor-neutral OpenTelemetry concepts with Application Insights usage for .NET production services.
Compares point-to-point queues with publish-subscribe topics and explains when each model fits.
Compares Redis pub/sub with durable queues when broadcasting cache invalidation or refresh events.
Explains how roles group permissions while API policies enforce specific capabilities and resource rules.
Explains sampling, high-cardinality labels, retention, cost, and keeping enough signal for incident diagnosis.
Explains deployment markers, version telemetry, feature-flag state, commit traceability, and incident diagnosis after releases.