dotnet:perf

To find the cause of high memory usage in a .NET application, you can profile GC pressure and memory leaks using tools like dotnet-gcdump and dotnet-counters to inspect allocation patterns and identify inefficient code paths.

The best way to diagnose slow Entity Framework queries is to analyze EF query plans to pinpoint specific performance bottlenecks like N+1 queries, utilizing profiling tools to capture detailed metrics before optimizing the endpoints.

To troubleshoot async bottlenecks causing latency in .NET, profile asynchronous operations using dotnet-trace to inspect inefficient async patterns and concurrency issues, allowing you to resolve the delays causing endpoint latency.

Yes, you can use BenchmarkDotNet alongside dotnet-counters and dotnet-trace to measure .NET startup configuration performance, capturing detailed metrics to diagnose and optimize startup configurations and concurrency issues.

You should profile HTTP requests in your .NET application when diagnosing performance bottlenecks, specifically before optimizing slow endpoints or addressing latency issues, to inspect concurrency and inefficient code paths.