![]() $ npm install appmetrics-dashĪppmetrics provides a very easy-to-use web-based monitoring dashboard. You install the module from npm by running the following command in your terminal. It’s a simple module you install and require at the top of your main Node.js source file. Node Application Metrics Dashboard shows the performance metrics of your running Node.js application. They may not have full-blown features like Sematext Node.js monitoring integration or Datadog, but keep in mind they’re open-source products, and can hold their own just fine. In this article, I’ll explain how to add monitoring to your Node.js application with different open-source tools. I also explained bad practices in Node.js you should avoid, such as blocking the thread and creating memory leaks, but also a few neat tricks you can use to boost the performance of your application, like using the cluster module to create worker processes and forking long-running processes to run separately from the main thread. In Part 1, Node.js key metrics to monitor, we talked about key Node.js metrics you should monitor in order to understand the health of your application and server. Performant applications need to do three things well. Want to know mine? High performance with no downtime. What’s the fanciest, most amazing, and sexy feature you can add to your Node.js application? What is the most important feature your Node.js application can have? Do you think it’s having fancy fuzzy logic for your full-text search, or maybe using sockets for real-time chats? You tell me. Application Performance Monitoring Guide.For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. The Linux Foundation has registered trademarks and uses trademarks. © Prometheus Authors 2014-2022 | Documentation Distributed under CC-BY-4.0 Please help improve it by filing issues or pull requests. The average network traffic received, per second, over the last minute (in bytes) The filesystem space available to non-root users (in bytes) ![]() The average amount of CPU time spent in system mode, per second, over the last minute (in seconds) Once the Node Exporter is installed and running, you can verify that metrics are being exported by cURLing the /metrics endpoint: curl You should see output like this: # HELP go_gc_duration_seconds A summary of the GC invocation durations. INFO Listening on :9100 source="node_exporter.go:111" INFO - boottime source="node_exporter.go:97" INFO Enabled collectors: source="node_exporter.go:90" ![]() You should see output like this indicating that the Node Exporter is now running and exposing metrics on port 9100: INFO Starting node_exporter (version=0.16.0, branch=HEAD, revision=d42bd70f4363dced6b77d8fc311ea57b63387e4f) source="node_exporter.go:82" Once you've downloaded it from the Prometheus downloads page extract it, and run it: wget */node_exporter-*.* The Prometheus Node Exporter is a single static binary that you can install via tarball. NOTE: While the Prometheus Node Exporter is for *nix systems, there is the Windows exporter for Windows that serves an analogous purpose.
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