The System Overview dashboard visualizes several groups of system-related metrics, including the following types:Ĭount of system processes by state, thread-count, etc. When you filter to a specific node, the graphs provide more detailed information specific to the selected node.įigure 1 - Node Exporter CPU / Mem / Net / Disk Overview dashboard System Overview ¶ While you can select more than one node, each graph provides an aggregation of the nodes’ data. The CPU / Mem / Net / Disk Overview dashboard displays a high-level summary of the fundamental resources of your nodes, followed by two tiers of more detailed information. From this resource, you can filter to any number of node instances and use the following dashboards to get insight into their health and status. This dataset models the nodes that are running the Node exporter in your environment, whether in a Kubernetes cluster or as a service on a standalone host. To see the health and performance of your nodes, after installing the app, go to the Instance dataset in Observe. What is the network performance for my nodes? Which nodes have usage spikes in the CPU?Īre some of my nodes running out of memory or disk space? With this app, you can answer questions such as the following: Use the Observe Node Exporter App to gain insight into your node health through those metrics. The Prometheus Node Exporter exposes a wide variety of hardware and kernel-related metrics that give visibility into important health and performance metrics related to CPU, Memory, Network, Disk Space, System Load, and more. Toggle table of contents sidebar Node Exporter ¶ Single Sign On (SSO) Configurations for Observe.Parameters are sent to the installer via msiexec. Defaults to an empty string (any remote address).Īllows passing full CLI flags. Defaults to /metricsĪs the flag, provide a directory to read text files with metrics fromĪllows setting comma separated remote IP addresses for the Windows Firewall exception (allow list). The following parameters are available: NameĪs the -collectors.enabled flag, provide a comma-separated list of enabled collectors 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. The latest release can be downloaded from the releases page.Įach release provides a. Skip TLS when loading config file from URL Tune to allow for overhead or high loads. Seconds to subtract from the timeout allowed by the client. If true, print available collectors and exit. Use as a placeholder which gets expanded containing all the collectors enabled by default." 0 to disable.Ĭomma-separated list of collectors to use. URL path for surfacing collected metrics. The ones configuring the global behaviour of the exporter are listed below, while collector-specific ones are documented in the respective collector documentation above. Windows_exporter accepts flags to configure certain behaviours. This can be useful for having different Prometheus servers collect specific metrics from nodes. In Prometheus configuration you can use this syntax under the scrape config. The collect parameter may be used multiple times. This is the recommended way to collect metrics to avoid errors when comparing metrics of different families.įor advanced use the windows_exporter can be passed an optional list of collectors to filter metrics. The windows_exporter will expose all metrics from enabled collectors by default. See the linked documentation on each collector for more information on reported metrics, configuration settings and usage examples. Performance counters installed by the Vmware Guest agent Microsoft File Server Resource Manager (FSRM) Quotas collector "Computer System" metrics (system properties, num cpus/total memory) A Prometheus exporter for Windows machines.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |