Once you download and install DAE (dynaTrace Ajax Edition), you must go to the Programs group in the Start menu and find dynaTrace. Obviously, the first thing to do is to enter a url link. Next, click the button of the play icon, select "New Run Configuration", and enter a new URL.
One of the features of DAE is that it can run under a multi-page workflow. You can enter the starting URL and then navigate to other web pages or start Ajax features, while DAE monitors everything in the background. When you close IE browser, you can analyze all the information collected by DAE.
The main features that distinguish DAE from other tools: In-depth analysis of JavaScript. By detecting event triggers and JavaScript API calls, the timeline is divided into different parts. It contains HTTP waterfall charts. Another feature is the ability to save DAE analysis results so you can review them afterwards and share them with colleagues. It also has some other interesting features, such as automatically formatting the streamlined source code so that you can view a more understandable version when debugging the streamlined code on site. You can also analyze CPU usage and page rendering performance
When you need to analyze performance issues caused by JavaScript, dynaTrace Ajax Edition contains code details from high-level calls to actual execution. You can see which line of JavaScript code is causing the performance bottleneck of the page . I recommend you test this tool and add it to your performance testing toolkit.
[Note: Some text in the original text has been omitted, The brown font was added by the translator]


JavaScript runs in browsers and Node.js environments and relies on the JavaScript engine to parse and execute code. 1) Generate abstract syntax tree (AST) in the parsing stage; 2) convert AST into bytecode or machine code in the compilation stage; 3) execute the compiled code in the execution stage.

The future trends of Python and JavaScript include: 1. Python will consolidate its position in the fields of scientific computing and AI, 2. JavaScript will promote the development of web technology, 3. Cross-platform development will become a hot topic, and 4. Performance optimization will be the focus. Both will continue to expand application scenarios in their respective fields and make more breakthroughs in performance.

Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

Yes, the engine core of JavaScript is written in C. 1) The C language provides efficient performance and underlying control, which is suitable for the development of JavaScript engine. 2) Taking the V8 engine as an example, its core is written in C, combining the efficiency and object-oriented characteristics of C. 3) The working principle of the JavaScript engine includes parsing, compiling and execution, and the C language plays a key role in these processes.

JavaScript is at the heart of modern websites because it enhances the interactivity and dynamicity of web pages. 1) It allows to change content without refreshing the page, 2) manipulate web pages through DOMAPI, 3) support complex interactive effects such as animation and drag-and-drop, 4) optimize performance and best practices to improve user experience.

C and JavaScript achieve interoperability through WebAssembly. 1) C code is compiled into WebAssembly module and introduced into JavaScript environment to enhance computing power. 2) In game development, C handles physics engines and graphics rendering, and JavaScript is responsible for game logic and user interface.

JavaScript is widely used in websites, mobile applications, desktop applications and server-side programming. 1) In website development, JavaScript operates DOM together with HTML and CSS to achieve dynamic effects and supports frameworks such as jQuery and React. 2) Through ReactNative and Ionic, JavaScript is used to develop cross-platform mobile applications. 3) The Electron framework enables JavaScript to build desktop applications. 4) Node.js allows JavaScript to run on the server side and supports high concurrent requests.

Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.


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