![]() Node-exporter | level=info ts=T16:05:38.199Z caller=tls_config.go:191 msg="TLS is disabled." http2=falseĭo the same for prometheus, scan for any error messages □: Node-exporter | level=info ts=T16:05:38.197Z caller=node_exporter.go:199 msg="Listening on" address=:9100 Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=zfs Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=xfs Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=vmstat Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=uname Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=udp_queues Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=timex Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=time Node-exporter | level=info ts=T16:05:38.196Z caller=node_exporter.go:115 collector=thermal_zone Feel free to change the scrape_interval to something more suitable (e.g. Make sure to replace the remote_write section with the one you copied earlier. prometheus.yml: our Prometheus configuration fileĬopy the contents below to your prometheus.yml file.data: this subfolder will hold the prometheus data.This is done using the remote-write feature of Grafana.Ĭreate a prometheus folder with the following contents: It will retrieve the data from Node exporter, store it and pass it onto our Grafana Cloud instance. Prometheus is a time-series database similar to InfluxDB.Node exporter, which as the name suggests will be responsible for exporting hardware and OS metrics exposed by our Linux host.The above Docker Compose contains just 2 containers: prometheus/data:/prometheus command : - ' -config.file=/etc/prometheus/prometheus.yml' - ' =/prometheus' - ' =/etc/prometheus/console_libraries' - ' =/etc/prometheus/consoles' - ' -web.enable-lifecycle' expose : - 9090 networks : - monitoring networks : monitoring : driver : bridge ![]() prometheus/prometheus.yml:/etc/prometheus/prometheus.yml. Version : " 3.8" services : node-exporter : image : prom/node-exporter:latest container_name : node-exporter restart : unless-stopped volumes : - /proc:/host/proc:ro - /sys:/host/sys:ro - /:/rootfs:ro command : - ' -path.procfs=/host/proc' - ' -path.rootfs=/rootfs' - ' -path.sysfs=/host/sys' - ' -points-exclude=^/(sys|proc|dev|host|etc)($$|/)' expose : - 9100 networks : - monitoring prometheus : image : prom/prometheus:latest user : root container_name : prometheus restart : unless-stopped volumes :. Now copy the snippet and the bottom, replacing your API key in the process: ![]() Give your API key a meaningful name and make sure to assign the MetricsPublisher role: Scroll down to the Password / API Key section to generate your API key. ![]() This will show you the details for your Prometheus instance: Once you’ve successfully signed up, log in to the Grafana Cloud Portal and click the Details button on the Prometheus card. 10,000 series for Prometheus or Graphite metrics.I’ve used their free tier, which actually is a pretty good offering: I’m making use of Grafana Cloud (SaaS), but you might just as well run Grafana in a separate docker container, or add it to Docker Compose. □ Grafana visualizes all metrics via a centralized dashboard.□️ Prometheus stores all metrics and pushes them to Grafana.□ Node exporter exports metrics of the Linux host.I’ve recently started using the setup below to scrape metrics from my Raspberry Pi: ![]() Monitoring Linux hosts using Grafana Cloud, Prometheus and Node Exporter ![]()
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