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  1. 6 days ago · Microsoft SQL Server Profiler is a graphical user interface to SQL Trace for monitoring an instance of the Database Engine or Analysis Services. You can capture and save data about each event to a file or table to analyze later.

  2. Sep 11, 2024 · The Profiler identifies: The median, fastest, and slowest response times for each web request made by your customers. The "hot" code path spending the most time handling a particular web request. Enable the Profiler on all your Azure applications to gather data with the following triggers:

  3. Sep 11, 2024 · Application Insights Profiler is preinstalled as part of the Azure App Service runtime. You can run Profiler on ASP.NET and ASP.NET Core apps running on App Service by using the Basic service tier or higher. Codeless installation of Application Insights Profiler: Follows the .NET Core support policy. Is only supported on Windows-based web apps.

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  5. Sep 2, 2024 · Profiling is a type of runtime analysis that operates on large amounts of runtime data and gives you a birds-eye view of what is happening inside a process. The collected data relates to various aspects of program operation, such as CPU usage, memory %allocation, and threads' activity.

  6. Sep 2, 2024 · This topic describes the basic concepts of CPU and allocation profiling. These concepts will help you understand how IntelliJ Profiler works. If you want to get your hands dirty without diving into much theory, take a look at the IntelliJ Profiler tutorial.

  7. 2 days ago · PyTorch Profiler is an open-source tool that enables accurate and efficient performance analysis and troubleshooting for large-scale deep learning models. The profiling results can be outputted as a .json trace file and viewed in Google’s Perfetto trace viewer (https://ui.perfetto.dev).

  8. 2 days ago · Conclusion. Performance analysis is key to making Python programs run efficiently. By using tools like `timeit`, `cProfile`, and `line_profiler`, you can measure and analyze your code’s performance accurately. With these insights, you can identify bottlenecks and apply optimization strategies to make your code run faster.

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