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690 results
Page 11 of 29
Explains hot-key behavior, traffic concentration, partition pressure, payload size, and mitigation options.
Treats flakiness as an observable defect in timing, state, order, infrastructure, or product behavior.
Diagnoses hidden per-row EF Core queries and replaces them with a bounded query shape without creating an oversized join.
Investigate a production API slowdown caused by blocking async calls, thread-pool pressure, and dependency waits.
Explains a telemetry-driven path from slow endpoint symptoms to database, cache, dependency, CPU, or payload root cause.
Investigate a slow API by checking database queries, blocking async, dependency latency, serialization, logging, and runtime pressure.
Separates a live blocking chain from a deadlock victim, gathers the right database evidence, stabilizes the incident, and fixes lock duration or access order.
Pairs a bounded isolated reproduction with telemetry and a disposal fix for leaked database connections.
Uses instance state, termination reasons, events, logs, configuration, probes, and resource evidence to distinguish common container startup failures.
Collects a bounded EventPipe CPU trace and reads stack evidence without confusing hot methods, blocked time, native work, or sampling artifacts.
Explains N plus one query behavior, symptoms in APIs, fixes with set-based reads, batching, projections, and monitoring.
Explains how hash-based collections use hash codes and equality, then chooses Dictionary or HashSet from the value the program needs to store.
Builds a story about resolving technical disagreement in review without ego or passive approval.
Decide whether Azure SQL errors are transient platform faults or a real application/query regression.
Explains command messages versus event messages and how ownership changes their design.
Builds deterministic images efficiently by controlling context, restore layers, dependency inputs, and cache invalidation.
Uses Compose for reproducible local dependencies while preserving fast inner loops, realistic readiness, and clear differences from production orchestration.
Diagnoses thread-unsafe scoped dependencies inside parallel execution and redesigns the data boundary without exhausting shared resources.
Investigate and fix an API where client retries create duplicate orders, payments, or records.
Explains EF Core projections into DTOs with practical .NET data-access examples and production trade-offs.
Explains raw SQL in EF Core with practical .NET data-access examples and production trade-offs.
Explains split queries versus single joined queries with practical .NET data-access examples and production trade-offs.
Explains EF Core tracking versus no-tracking queries with practical .NET data-access examples and production trade-offs.
Uses controlled state transitions and intention-revealing APIs to keep objects valid rather than treating encapsulation as private fields alone.