This guide uses an Ubuntu 20.04 system with Node.js version 15.11.0. In this step you’ll set up prom-client for Node.js to collect and expose Node.js metrics in Prometheus format. Step 1: Setting up prom-client for Node.js To learn more about Grafana Cloud, please see Grafana Cloud. You will still need to scrape metrics, using either Prometheus installed in your environment, or the Grafana Cloud Agent. Grafana Cloud hosts Grafana and a Cortex-based Prometheus metrics endpoint. To learn how to install Grafana, please see Install Grafana from the Grafana docs. Grafana running in your environment or directly on the machine.To learn how to install Prometheus, please see Installation from the Prometheus docs. Prometheus running in your environment or directly on the machine.To learn more, please see Downloads from the Node.js site. Prerequisitesīefore you get started, you should have the following available to you: To learn how to set up prom-client for Node.js using the Node.js Integration, please see Node.js Integration from the Grafana Cloud docs. The Node.js Integration embeds prom-client for Node.js into the Grafana Cloud Agent and automatically provisions alerting rules and dashboards, so you don’t have to run through the steps in this guide. If you’re using Grafana Cloud, the Node.js Integration can help you get up and running quickly. At the end of this guide you’ll have dashboards that you can use to visualize your Node.js metrics, and a set of preconfigured alerts. Finally, you’ll set up a preconfigured and curated set of Grafana dashboards, and alerting rules. You’ll then configure Prometheus to scrape Node.js metrics and optionally ship them to Grafana Cloud. In this guide you’ll learn how to set up and configure prom-client for Node.js to collect Node.js metrics like event loop lag and active handles and expose them as Prometheus-style metrics. To learn how to collect Node.js metrics using the Node.js Integration, please see Node.js Integration from the Grafana Cloud docs. If you’re using Grafana Cloud, you can skip all of the steps in this guide by installing the Node.js Integration, which is designed to help you get up and running in a few commands and clicks. To learn how to do this, please see Reducing Prometheus metrics usage with relabeling from the Grafana Cloud docs. To learn more about configuring prom-client for Node.js and toggling its collectors, please see the prom-client for Node.js GitHub repository.īeyond toggling prom-client for Node.js’s settings, you can reduce metrics usage by dropping time series you don’t need to store in Prometheus or Grafana Cloud. Note that depending on its configuration, prom-client for Node.js may collect and publish far more metrics than this default set. To see a list of metrics shipped by default with this exporter, please download a sample metrics scrape here. This exporter publishes roughly 78 Prometheus time series by default. Set up Prometheus alerting rules to alert on your metrics data. Imported Grafana dashboards to visualize your metrics data. Set up a preconfigured and curated set of recording rules to cache frequent Prometheus queries. prom-client for Node.js will expose these as Prometheus-style metrics.Ĭonfigured Prometheus to scrape prom-client for Node.js metrics and optionally ship them to Grafana Cloud. Set up and configured prom-client for Node.js to collect Node.js app metrics like event loop lag, active handles, and GC metrics. After running through the steps in this quickstart, you will have: We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.The following quickstart provides setup instructions and preconfigured dashboards, alerting rules, and recording rules for the prom-client for Node.js Prometheus metrics exporter. We’re the world’s leading provider of enterprise open source solutions-including Linux, cloud, container, and Kubernetes. The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services. LinkedIn YouTube Facebook Twitter Platforms
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