Now let’s add Prometheus as the data source in Grafana. For example, Prometheus exposes PromQL for time series data, and MySQL data source exposes SQL query language. All of these data sources expose their own query languages. Grafana supports different storage backends which provides a variety of ways to query and visualize the data.
Now that we have everything up and running let’s add Prometheus as a data source and create a dashboard. Refer to our previous post for installing Grafana. By default Prometheus is configured to get metrics from Node-Exporter.
This will install both Prometheus and Node-Exporter and run them as a systemd service. sudo apt-get install prometheus prometheus-node-exporter Installing Prometheus and Node-Exporter on Debian based systems. You can set up your own Grafana dashboards right in our platform, and apply what you learn from this article. If you want to follow along with your own setup, we suggest logging into MetricFire's free trial. We will use Prometheus as the data source and node-exporter to export metrics from a VM to Grafana. To start, we will need a metrics source from which we will add metrics to Grafana for visualization. We will create a Grafana dashboard for a VM’s most important metrics, learn to create advanced dashboards with filters for multiple instance metrics, import and export dashboards, learn to refresh intervals in dashboards and learn about plugins. In this post, we will deep dive into Grafana dashboards. Grafana is one of the most popular dashboarding and visualization tools for metrics. Grafana Dashboards are an important part of infrastructure and application instrumentation.