![]() ![]() ![]() Let’s take a look at the Prometheus scrape config required to scrape the node-exporter metrics. You need to add a scrape config to the Prometheus config file to discover all the node-exporter pods. We have the node-exporter daemonset running on port 9100 and a service pointing to all the node-exporter pods. Meaning three node-exporter pods running on three nodes as part of Daemonset. kubectl get endpoints -n monitoringĪs you can see from the above output, the node-exporter service has three endpoints. Step 6: Now, check the service’s endpoints and see if it is pointing to all the daemonset pods. Step 4: Create a file names service.yaml and copy the following contents. Step 3: List the daemonset in the monitoring namespace and make sure it is in the available state. Step 2: Deploy the daemonset using the kubectl command. If you wish to deploy it in a different namespace, change it in the following YAML apiVersion: apps/v1 Note: This Daemonset will be deployed in the monitoring namespace. Step 1: Create a file name daemonset.yaml and copy the following content. More explanation on this in the Prometheus config part. We would be monitoring the service endpoints (Node exporter pods) from Prometheus using the endpoint job config. Create a service that listens on port 9100 and points to all the daemonset node exporter pods.It exposes all the node metrics on port 9100 on the /metrics endpoint Daemonset makes sure one instance of node-exporter is running in all the nodes. Deploy node exporter on all the Kubernetes nodes as a daemonset.Note: If you don’t have the Prometheus setup, please follow my guide on setting up Prometheus on kubernetes. git clone Setup Node Exporter on Kubernetes The Kubernetes manifest used in this guide is present in the Github repository. Similarly, you need to install Kube state metrics to get all the metrics related to kubernetes objects. It collects all the Linux system metrics and exposes them via /metrics endpoint on port 9100 To get all the kubernetes node-level system metrics, you need to have a node-exporter running in all the kubernetes nodes. It does not provide detailed node-level metrics. Why do we need Node Exporter on Kubernetes?īy default, most of the Kubernetes clusters expose the metric server metrics (Cluster level metrics from the summary API) and Cadvisor ( Container level metrics). Check this article on node monitoring using node-exporter. You can use the node exporter to collect the system metrics from all your Linux systems. It collects all the hardware and Operating System level metrics that are exposed by the kernel. Node exporter is an official Prometheus exporter for capturing all the Linux system-related metrics. This guide will walk you through the node-exporter setup on a Kubernetes cluster and integrate Prometheus scrape config to scrape the node metrics. ![]() If you want to know how the Kubernetes nodes perform or monitor system-level insights of kubernetes nodes, you need to set up a Prometheus node exporter on Kubernetes cluster. ![]()
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