Playwright with Javascript tutorial 10 | Playwright Trace Viewer | Code Debugging смотреть онлайн

#microsoftplaywright, #playwright, #traceviewer, #webdev, #javascript, #automation, #testing, #debugging, #performance, #developer, #playwrighttraceviewertutorial, #howtouseplaywrighttraceviewer, #playwrighttraceviewertipsandtricks, #playwrighttraceviewerforbeginners, #playwrighttraceviewerforadvancedusers

Welcome to our channel! In this video, we're diving deep into the world of Microsoft Playwright Trace Viewer, the cutting-edge performance analysis tool that revolutionizes the way developers optimize their web applications. If you want to take your web development to the next level, you don't want to miss this!

Timestamps:

00:00 - Introduction
00:22 - What is Playwright Trace Viewer ?
00:35 - What is Playwright Trace?
01:00 - Why do we need Playwright Trace Viewer?
01:25 - How to use Playwright Trace Viewer?
04:12 - Recording a Playwright Trace Locally
05:06 - Opening Playwright Trace from Playwright Report
05:15 - Understanding Playwright Trace Viewer GUI
07:35 - How to Open downloaded Trace File using trace.playwright.dev
09:14 - How to generate Trace file programmatically.
12:55 - How to use Pick Locator from Playwright Traceviewer GUI
17:10 - Available options to record a trace

Overview:
Playwright Trace Viewer is a GUI tool that helps you explore recorded Playwright traces after the script has run. A Playwright trace is a file that records all of the actions that your code takes when it interacts with a web page. This includes things like opening a page, clicking on elements, filling out forms, and making network requests.
To understand how your code is executing. The trace viewer can show you a timeline of all the actions that your code took, as well as the time it took to execute each action. This can help you identify bottlenecks or areas where your code could be optimized.

To debug problems with your code. If your code is not working as expected, the trace viewer can help you track down the problem. You can see exactly what your code was doing at the time of the error, and you can also see the network requests that were made.

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