8/5/2023 0 Comments Node exporter metrics![]() ![]() In the past, there was a specific event in which we realized that, if we were monitoring node exporter metrics, the issue could have been prevented and business impacts mitigated. Node Exporter was introduced as one of the monitoring tools for the VMs of our on-premises business applications. Figure 3: Representation of an Advanced Grafana dashboard with node exporter metrics ![]() An Advanced template to go deeper into the analysis when an issue is raised on the application system performance or health. A Basic Template that is used to monitor the health and performance of the VMs of our applications which are displayed on our TV screens: Figure 2: Representation of a Basic Grafana dashboard with node exporter metricsĢ. On La Redoute, we started with two templates.ġ. To have the node exporter metrics on Grafana, there’s no need to create dashboards from scratch it’s easy to find some Grafana Templates that everyone can use and adapt. In La Redoute, we use Grafana linked to Prometheus datasource for the visual dashboard of node exporter metrics. Figure 1: Node Exporter metric example in Prometheus Graphical User Interface. ![]() Node exporter metrics can then be used for several purposes, like visual dashboarding, real-time monitoring, and/or alerting. It acts as a layer between the Prometheus server and the system in which the application is hosted to collect metrics. It’s an open-source Prometheus exporter which collects and exposes hardware and OS metrics like CPU, System Load, RAM, Network Traffic, Disk, etc. ![]()
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