Main-thread work
Breakdown or CPU time spent.
Breakdown of CPU time spent is a way of analyzing the performance of a web page by measuring the amount of time the CPU spends executing different types of tasks, such as JavaScript execution, rendering, and layout calculations.
When a user visits a web page, the browser must execute various tasks to load and display the content, including parsing HTML and CSS, executing JavaScript, rendering images and videos, and calculating layout. Each of these tasks requires CPU time, and the time spent on each task can impact web page performance.
By analyzing the breakdown of CPU time spent, developers can identify which tasks are taking the most time to execute and optimize them accordingly. For example, if JavaScript execution is taking up a significant amount of CPU time, developers can try to optimize their code or reduce the number of scripts on the page.
Optimizing the breakdown of CPU time spent can significantly improve web page performance, resulting in faster load times and a better user experience for users. By analyzing and optimizing the performance of different tasks, developers can create more efficient and responsive websites.
Javascript execution time til.
JavaScript execution time refers to the amount of time it takes for a web page's JavaScript code to be executed by the browser. When a user visits a web page, the browser must download and execute any JavaScript code on the page, which can impact web page performance.
JavaScript is an essential part of many modern web applications, as it enables developers to create dynamic and interactive user experiences. However, poorly optimized JavaScript code can significantly impact web page performance, leading to slower load times and a poor user experience.
To optimize JavaScript execution time, developers can use several techniques such as minimizing the number of JavaScript files, reducing the amount of code, and optimizing code for performance. Additionally, developers can also use tools such as browser developer tools to identify and debug performance issues related to JavaScript execution.
Optimizing JavaScript execution time is an essential part of creating a fast and responsive web page. By optimizing JavaScript code and reducing the time it takes for the browser to execute it, developers can create a better user experience and improve engagement and conversion rates.
CPU blocking
Long Tasks.
Long tasks are tasks that require a significant amount of CPU time to execute, taking longer than 50 milliseconds to complete. When a long task is executing, it can block other tasks from being executed, leading to slower load times and a poor user experience.
Long tasks can be caused by several factors, including inefficient JavaScript code, excessive layout calculations or rendering, and slow network requests. They can significantly impact web page performance, especially on mobile devices where processing power may be limited.
To optimize long tasks and reduce CPU blocking, developers can use several techniques such as optimizing JavaScript code for performance, reducing the number of DOM elements on a page, and minimizing the number of network requests. Additionally, developers can use tools such as browser developer tools to identify and debug performance issues related to long tasks.
Optimizing long tasks is an essential part of creating a fast and responsive web page. By identifying and optimizing long tasks, developers can create a better user experience and improve engagement and conversion rates.
Longest task
The longest task is the task that takes the most time to execute on a web page, potentially causing significant delays in web page performance. The longest task can be caused by several factors, including inefficient JavaScript code, slow network requests, excessive rendering or layout calculations, and more.
Identifying the longest task on a web page is critical for optimizing web page performance. Developers can use tools such as browser developer tools and performance monitoring tools to identify the longest task and optimize it accordingly.
Optimizing the longest task can significantly improve web page performance, resulting in faster load times and a better user experience for users. By analyzing and optimizing the performance of the longest task, developers can create more efficient and responsive websites.
Number of long tasks
The number of long tasks in CPU blocking is a metric used to measure the number of tasks that take longer than 50 milliseconds to execute and block the main thread of a web page. When the main thread is blocked, it cannot execute other tasks, leading to slower load times and a poor user experience.
The number of long tasks can be caused by several factors, including inefficient JavaScript code, slow network requests, excessive rendering or layout calculations, and more. By measuring the number of long tasks in CPU blocking, developers can identify performance issues and optimize the web page accordingly.
To optimize the number of long tasks in CPU blocking, developers can use several techniques such as optimizing JavaScript code for performance, reducing the number of DOM elements on a page, and minimizing the number of network requests. Additionally, developers can use tools such as browser developer tools and performance monitoring tools to identify and debug performance issues related to CPU blocking.
Optimizing the number of long tasks in CPU blocking is an essential part of creating a fast and responsive web page. By identifying and optimizing CPU blocking issues, developers can create a better user experience and improve engagement and conversion rates.
Third-party long tasks
Third-party long tasks in CPU blocking are tasks executed by third-party scripts that take longer than 50 milliseconds to complete and block the main thread of a web page. When third-party long tasks are executing, they can significantly impact web page performance, leading to slower load times and a poor user experience.
Third-party scripts are often used on web pages for advertising, analytics, social media widgets, and more. While these scripts can add functionality and features to a web page, they can also significantly impact web page performance, especially if they execute long tasks that block the main thread.
To optimize third-party long tasks in CPU blocking, developers can use several techniques such as using asynchronous loading for third-party scripts, optimizing third-party script code for performance, and reducing the number of third-party scripts on a page. Additionally, developers can use tools such as browser developer tools to identify and debug performance issues related to third-party long tasks.
Optimizing third-party long tasks in CPU blocking is an essential part of creating a fast and responsive web page. By optimizing third-party scripts and reducing the impact of third-party long tasks, developers can create a better user experience and improve engagement and conversion rates.
