![]() To monitor the presentation layer, you’ll commonly use real user monitoring (RUM), which monitors real user behavior on your site, and synthetic monitoring, which uses a headless browser to traverse your site. If you’re using Django or other frameworks, this could include coding errors in your views. Many issues can occur in the presentation layer, such as pages loading slowly or not loading at all, forms working incorrectly, or components on a page not rendering correctly. The presentation layer includes the user interface and all the parts of your application that a user sees and interacts with. Whether you’re using Django for an MVC application or Python along with other tools in a larger distributed system, it’s important to understand how monitoring is beneficial for each layer of your application, as well as the kind of monitoring tools you’ll use for each layer. Since larger applications often use many tools and programming languages, it’s important to consider these benefits across the board. There are many benefits to monitoring Python applications, and these also happen to be benefits of monitoring applications written in other languages as well. Why Python application monitoring is important Tools for measuring application performance.Metrics you should be monitoring in your application.The benefits of monitoring Python applications.Why Python application monitoring is important.In this article, you’ll learn about the basics of Python monitoring, including: To ensure your Python applications are as performant as possible, it’s important to use application performance monitoring tools that can help you optimize your code and fix issues before they impact your customers. Because it’s a scripted language, it’s easier for development but not as efficient as languages like Java. While Python has many advantages and is used widely in production, it has some disadvantages, too. It’s widely used in many industries including web development, scientific computing, data analysis, and artificial intelligence. ![]() Python is a popular open source language that’s easy to learn and great for developer productivity.
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