Operations | Monitoring | ITSM | DevOps | Cloud

In this article, learn how to setup application monitoring for Node.js apps with our open-source solution, SigNoz. Node.js tops the list of most widely used frameworks by developers. Powered by Google's V8 javascript engine, its performance is incredible. Ryan Dahl, the creator of Node.js, wanted to create real-time websites with push capability. On Nov 8, 2009, Node.js was first demonstrated by Dahl at the inaugural European JSconf.

Node.js is a popular choice for creating a scalable and highly performant web app. Its event-driven, non-blocking I/O model makes it well-suited for building real-time, data-intensive applications. Maintaining the health of your Node.js app includes monitoring and tracking several metrics over time to better understand how your app is performing. Monitoring your application's health is important to ensure its smooth operation and a good user experience.

As React is the most popular JavaScript framework for creating component-based applications, you have access to a solid ecosystem of tools, resources, and best practices that can help with React debugging when something goes wrong. To create a high-quality React application, you can’t skip over the debugging phase of your software development life cycle including everything from addressing error messages coming up in the development phase to monitoring live errors in production.

Automatic instrumentation is great, but to get the most out of your monitoring you often need to instrument your code. In this article I am going to explain how to instrument a Node.js express app with custom metrics using the Prometheus prom-client package. Although this article specifically addresses Node.js and express, my hope is that the general concepts are applicable to other languages too.

A couple months ago, we launched Profiling in alpha for users on Python and Node.js SDKs — today, we’re moving Profiling for Python and Node.js to beta. Profiling is free to use while in beta — more updates to come when we near GA. Profiling is a critical tool for helping catch performance bottlenecks in your code. Sentry’s profiler gets you down to the exact file/line number in your code that is causing a slow-running query.