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Introduces managed heap cleanup, generational collection, object lifetime, and why allocation behavior affects .NET services.
Explains release notes and changelog thinking for engineering, QA, support, and product communication.
Explains semantic versioning for .NET applications and how it communicates release impact.
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.
Explains a practical Git workflow for a .NET team using branches, pull requests, code review, and protected main branches.
Designs consumer-focused contracts that reduce accidental authority and coupling without producing meaningless one-method wrappers.
Explains cache observability across hit rate, latency, source load, memory, evictions, stale data, and fallback behavior.
Starts object-oriented design from cohesive state and behavior instead of creating classes for every noun in a requirement.
Explains when backend work belongs in a queue instead of slow or unreliable inline request handling.
Explains correlation IDs across request logs, dependency calls, queues, workers, and support investigations.
Separates dependency registration from per-request middleware and endpoint composition in modern ASP.NET Core startup.
Explains safe error responses for auth failures, validation failures, server errors, and sensitive resource access.
Explains identity versus permission checks in API request handling and why both boundaries need server-side enforcement.
Uses static members for type-wide stateless behavior and constants while avoiding hidden global mutable state and lifetime problems.
Structures xUnit tests around per-test instances and shares only expensive infrastructure through deliberate class, collection, or assembly fixture lifetimes while preserving isolation and parallel safety.
Explains the cache-aside pattern for read-heavy endpoints and how misses, TTLs, and source-of-truth reads fit together.
Explains aggregate queries, grouping keys, filters before and after aggregation, and business-count correctness.
Explains the different diagnostic roles of logs, metrics, and traces during backend production issues.
Explains middleware continuation, terminal delegates, path branches, short-circuiting, and two-way request and response flow.
Explains what is copied when values and object references are assigned or passed, including the explicit effect of ref, out, and in.
Covers useful request, dependency, exception, log, metric, and availability telemetry for a production .NET API.
Explains production ownership beyond writing code, including monitoring, alerts, support, and recovery.
Explains LINQ deferred execution with EF Core with practical .NET data-access examples and production trade-offs.