Monitoring system metrics in real-time is crucial for understanding the performance and health of your Node.js applications. By logging these metrics, you can identify potential bottlenecks, track resource usage, and troubleshoot issues promptly.

In this article, we will explore how to implement real-time logging of system metrics in Node.js applications using the popular Node.js library os-utils.

Installing os-utils

To get started, let’s install the os-utils library by running the following command:

npm install os-utils

Logging CPU Usage

To log the CPU usage in real-time, we can utilize the os-utils library’s cpuUsage function. Let’s see how we can do that:

const osUtils = require('os-utils');

setInterval(() => {
  osUtils.cpuUsage((value) => {
    console.log(`CPU Usage: ${value}%`);
  });
}, 1000);

In the above example, we are calling the cpuUsage function every second to get the CPU usage. The value returned by the function represents the percentage usage of the CPU.

Logging Memory Usage

Logging memory usage is equally important for monitoring the health of your Node.js application. The os-utils library provides a freememPercentage function that gives us the free memory percentage. Here’s an example:

const osUtils = require('os-utils');

setInterval(() => {
  osUtils.freememPercentage((value) => {
    console.log(`Free Memory: ${value}%`);
  });
}, 1000);

By calling the freememPercentage function periodically, we can log the current free memory percentage of the system.

Conclusion

Real-time logging of system metrics allows us to observe the behavior of our Node.js applications in terms of CPU and memory usage. By monitoring these metrics, we can promptly identify performance issues and take necessary actions to optimize our applications.

Remember, monitoring system metrics should be an ongoing process to ensure the stability and efficiency of your Node.js applications. So, start implementing real-time logging of system metrics today and keep an eye on the health of your applications.

#nodejs #systemmetrics