![]() ![]() Admins can download these dashboards and simply import them into Grafana by hitting the Importīutton. Grafana offers a marketplace on its website, where developers can make their DIY dashboards available to the public. The good news is that others also have wanted to wed Prometheus and Grafana, so you can find several setups that do so. Grafana expects the dashboards in JSON format, and the names of the individual metrics are not so intuitive that you would automatically hit on them without help.Īlthough you can find tools that let admins create JSON files in a GUI, you still need the catalog of metrics, and the work is still time consuming ( Figure 1).įigure 1: In a GUI, you can click to compile dashboards in Grafana. If you build a brand new Prometheus setup, you first have to construct your own dashboards laboriously. The problem is that the Grafana dashboard list is empty out of the box. Welcome to the world of Grafana dashboards: You can define any number of dashboards, and any number of metrics can be visualized in them, as long as they come from the same data source. One of the great strengths of Grafana is undoubtedly its modularity: You can define what you want displayed, and how, and the graphs you want to combine. ![]() Grafana offers exactly this possibility: The program specializes in the graphical display of values from various tools and now supports a large number of data sources. A corresponding graph that shows the progression of RAM usage provides much more information. A table listing the current RAM usage figures for 5,000 hosts doesn't help you much. Trending requires that the metric data stored in Prometheus needs to be prepared graphically in such a way that it is comprehensible to the admin. However, this leaves one of Prometheus' core functions unleveraged: trending. If you use Prometheus as a classical monitoring system, you do not even come into direct contact with a large part of the measurement data collected by the tool, because only Alertmanager analyzes incoming values and raises the alarm if necessary. However, the Prometheus Alertmanager only has a rudimentary GUI that does not meet modern requirements. Most conventional monitoring systems offer a clearly arranged web page on which the current alarms are listed. Special cases like MySQL, RabbitMQ, or Open vSwitch are not handled by the Node Exporter. To aggravate the situation, the metrics provided by Prometheus Node Exporter are not sufficient in many setups. If you want to display measured values from Prometheus in Grafana, however, you need suitable dashboards. For a long time Prometheus developed its own dashboard today, the official recommendation is to use Grafana, for which Prometheus has a plugin that can be used to configure it as a data source. The measurement data in Prometheus is good, but you need a way to visualize it. In this article, I look at complementary projects that exist for Prometheus that make admin life easier, including ready-made dashboards for data visualization, various metric data exporters, and two tools that display alarms graphically and coherently. Theoretically, these components can be used to build a complete monitoring, alerting, and trending (MAT) system that easily monitors large environments, but practically, the components in this compilation lack elementary functions. If a value gets out of control, it generates an alarm. If a data problem arises, the Alertmanager appears, comparing the incoming metric data with freely definable limit values. Pushgateway handles the values that Prometheus itself cannot read directly on the hosts. The Prometheus Node Exporter reads and provides basic system values on the target systems. #GRAFANA NODE EXPORTER SERIES#The solution comprises several components: Prometheus itself is only the time series database. Usage is specially designed for monitoring large and scalable setups. The _exporter component can only appear once perĬonfiguration file, and a block label must not be passed to it. For more information on collectors, refer to the The node_exporter itself is comprised of various collectors, which can beĮnabled and disabled at will. Wide variety of hardware and OS metrics for *nix-based systems. Prometheus.integration.node_exporter _exporter ![]()
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