![]() ![]() Raspberry Pi temperature graph in Prometheus. The data can now be queried directly in Prometheus via the API, UI or other monitoring tools like Grafana. Prometheus scrapes the node exporter and stores the data in its time series database. It exposes your host’s metrics in the format Prometheus expects. This is where the node exporter comes in. For example a Raspberry Pi running Raspbian does not have a Prometheus metrics endpoint. ![]() Many systems or stacks do not have Prometheus formatted. You can query Prometheus data store monitoring and visualization. Prometheus stores the data collected from endpoints. Targets publish metrics in the Prometheus metrics format. Scraping targets are HTTP endpoints on the systems being monitored. In a typical architecture the Prometheus server queries targets. Prometheus is an open source metrics database and monitoring system. About Prometheus and the Node Exporter Prometheus Logo If you want to learn more about Prometheus, I suggest the Prometheus Up & Running book from Oreilly. Alternatively you could try a hosted Prometheus service. It can be on a Pi or another type of system. Existing Prometheus server running on another system.I am writing additional monitoring focused posts to cover these topics. I will not cover how to setup Prometheus or complementing tools like Grafana. However the instructions are generic enough to work on most Linux distributions that use systemd. But as you will see later, it also goes much further. It covers the basics like CPU and memory. Node exporter has over a thousand data points to export. When done, you will be able to export system metrics to Prometheus. In this post we are walking through configuring the Prometheus node exporter on a Raspberry Pi. Introduction – Prometheus Node Exporter on Raspberry Pi What does this tutorial cover? ![]()
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