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HomeOperation and MaintenanceLinux Operation and MaintenanceHow to monitor performance metrics of Debian Node.js

To monitor Node.js performance metrics on Debian systems, you can use a variety of tools and methods. Here are some commonly used methods and tools:

Using Easy-Monitor

Easy-Monitor is a Node.js performance monitoring solution based on Egg.js, providing performance monitoring, error log display and dependency for Node.js processes and system indicators, Npm module security risk warning, custom intelligent operation and maintenance alarms and real-time status export of online processes.

Using NetData

NetData is a distributed real-time performance and health monitoring tool for systems and applications, providing a comprehensive detection of everything that happens in the system in real time. You can view the results in a highly interactive web dashboard. NetData is out of the box, with zero configuration and zero dependency, just install it to get started.

Using express-status-monitor

If you are using an Express app, you can use the express-status-monitor library to monitor the performance metrics of your app. By installing the library and adding specific code to the app, you can add an endpoint named /status to the app to view performance metrics.

Use Node.js built-in performance monitoring tool

Node.js provides built-in performance monitoring tools such as process.memoryUsage() and process.cpuUsage(), which can be used to obtain the memory and CPU usage of the application.

Use third-party performance monitoring services

You can also consider using third-party performance monitoring services such as New Relic, Datadog, etc., which can provide more comprehensive monitoring and analysis capabilities to help you better understand and optimize the performance of your Node.js application.

Through the above methods, you can effectively monitor the performance indicators of Node.js applications on the Debian system, promptly discover and solve performance problems, and ensure the stable operation and efficient performance of the application.

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