How Do You Profile Asynchronous Code Effectively? - Next LVL Programming

How Do You Profile Asynchronous Code Effectively? Are you interested in improving the performance of your asynchronous code? In this video, we'll walk you through effective techniques and tools to profile asynchronous programming tasks. You'll learn how to visualize the flow of async calls, identify bottlenecks, and understand where delays occur. We’ll cover how to use profiling tools tailored for async code, including grouping related calls, measuring await times, and analyzing continuations to see how long each part takes. Discover how to interpret call trees and timeline views to get a clear picture of your application's behavior under real-world conditions. We’ll also share tips on combining CPU and async profiling to distinguish between I/O waits and CPU-bound tasks, helping you focus your optimization efforts more accurately. Additionally, you'll find out how to use visual profiling features that connect directly to your source code, making it easier to pinpoint problem areas quickly. Whether you're working with .NET, Java, or other platforms, this video provides practical advice on using the right tools to analyze asynchronous code performance. By applying these techniques, you'll be able to identify delays caused by scheduling, resource contention, or inefficient continuations, leading to more responsive and efficient applications. Join us to learn how to master async profiling and improve your coding projects today!

🔗H

⬇️ Subscribe to our channel for more valuable insights.

🔗Subscribe: https://www.youtube.com/@NextLVLProgr...

#AsyncProgramming #CodeProfiling #PerformanceOptimization #CodingTips #JavaPerformance #DotNet #AsyncCalls #ProfilingTools #CodeDebugging #SoftwareDevelopment #ProgrammingTips #CodePerformance #ThreadManagement #AsyncTasks #ApplicationPerformance