![]() The collect parameter, in the Prometheus configuration lets you do that. However, for advanced use the windows_exporter can be passed an optional list of collectors to filter metrics. This is the recommended way to collect metrics to avoid errors. The windows_exporter will expose all metrics from enabled collectors by default. The exporter will export metrics such as the CPU usage, the memory and the disk I/O usage and can also be used to monitor IIS sites and applications, the network interfaces and services. Note that, unlike the linux nodes where the node exporter is installed as a daemonset, on Windows nodes the WMI exporter is installed on the host itself. You can check out the scheduling best practices section of this guide which suggests the use of taints/tolerations or RuntimeClass to selectively deploy node exporter only to linux nodes, while the Windows exporter is installed on Windows nodes as you bootstrap the node or using a configuration management tool of your choice (example chef, Ansible, SSM etc). ![]() If the installer is run without any parameters, the exporter will run with default settings for enabled collectors, ports, etc. The installer will setup the windows_exporter as a Windows service, as well as create an exception in the Windows firewall. msi installers, with respective feature sets and bug fixes. The releases page provides all available. In order to setup Prometheus monitoring for Windows nodes, you need to download and install the WMI exporter on the Windows server itself and then setup the targets inside the scrape configuration of the Prometheus configuration file. You will need to treat the Windows worker pool separate and instead install the Windows exporter on the Windows worker node group. In a mixed node EKS cluster with Windows nodes when you use the stable Prometheus helm chart, you will see failed pods on the Windows nodes, as this exporter is not intended for Windows. While node exporter is suited for exporting host hardware and OS metrics for linux nodes, it wont work for Windows nodes. For a complete list of exporters please refer to the Prometheus exporters. A Prometheus exporter is typically deployed on each node. Prometheus will then, as per its configuration, periodically pull metrics from these HTTP(S) endpoints.Īn exporter lets you consume third party metrics as Prometheus formatted metrics. This means applications and services must expose a HTTP(S) endpoint containing Prometheus formatted metrics. Prometheus uses a pull mechanism and scrapes metrics from targets using exporters and from the Kubernetes API using the kube state metrics. The high level architecture of Prometheus metrics collection is shown below: Prometheus includes away to query using a language called PromQL, which is short for Prometheus Query Language. Prometheus stores the metric data as a time series data identified by metric name and key/value pairs. Additionally, Prometheus leverages AlertsManager which lets you program alerts to warn you if something in your cluster is going wrong. Prometheus collects metrics around containers, pods, nodes, and clusters. Prometheus, a graduated CNCF project is by far the most popular monitoring system with native integration into Kubernetes. Monitoring for Network performance issues
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