![]() To learn more about creating a panel, see the Grafana Add a panel documentation. To create a dashboard, it is helpful to know PromQL and have a sense of the metrics and calculations based on those metrics that you want to display in your dashboard panels.Ĭlick New and select New Dashboard in the dropdown menu.Ĭlick + Add visualization to open the Edit panel screen.Ĭomplete instructions for creating a dashboard panel (indeed, multiple panels to create a dashboard) are beyond the scope of this quickstart. See Export and import to learn more about importing Grafana dashboards. with Grafana Alerting, Grafana Incident, and Grafana OnCall. In Grafana, click Dashboards in the left-side menu to go to the Dashboards page.Ĭlick New and select Import in the dropdown.Įnter the ID number of the dashboard we selected. Connect Grafana to data sources, apps, and more. For our example, we require a dashboard that is built to display Linux Node metrics using Prometheus and node_exporter, so we chose Linux Hosts Metrics | Base. Official and community-built dashboards are listed on the Grafana website Dashboards page.ĭashboards on this page will include information in the Overview tab about special configurations you may need to use to get the dashboard to work. Here you have two options: install a pre-made dashboard or create a dashboard from scratch. This dashboard includes panels for the following metrics: This dashboard was generated using the Node.js Exporter mixin. This quickstart helps you monitor your Node.js server by setting up prom-client for Node.js with preconfigured dashboards, alerting rules, and recording rules. If metrics are not displayed after several minutes, check your steps for typos, make sure the binary is executable, and whether Prometheus is running on the Linux machine. To use this dashboard, please follow the Node.js Exporter Quickstart. If metrics are listed, this confirms that metrics are being received. If node is not listed, metrics are not being collected. Use the Metrics dropdown to find the entry for node, which is the job_name we created in prometheus.yml. This takes you to the Explore page, which looks like this.Īt the top of the page, use the dropdown menu to select your Prometheus data source. To test this, use the Explore feature.Ĭlick Explore in the sidebar to start. Within minutes, metrics should begin to be available in Grafana Cloud. First of all, make the data source a variable so that the dashboard is not. Check that metrics are being ingested into Grafana Cloud Grafana provides a way to get all labels, metrics, and queries the Prometheus. If you don’t want to have to start Prometheus directly from the command line every time you want it to run, you can create a systemd service for it. prometheus -config.file=./prometheus.yml To confirm your username and URL, first navigate to the Cloud Portal, then from the Prometheus box, click Send Metrics.Ĭreate a Prometheus configuration file named prometheus.yml in the same directory as the Prometheus binary with the following content.
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