This flag is set when the host has entered the maintenance mode. The flag to indicate whether or not the host is in maintenance mode. This state is typically used to trigger an alarm on the host. The state automatically changes to connected once heartbeats are received again. notResponding: VirtualCenter is not receiving heartbeats from the server.The next time a heartbeat is received, the host is moved to the connected state again and an event is logged. VirtualCenter does not expect to receive heartbeats from the host. disconnected: The user has explicitly taken the host down.For ESX Server, this is the default setting. List of names of networks related to the host List of names of datastores related to the host
List of names of the resource pools related to the host Name of the datacenter related to the host Total memory capacity of the host, in MiB
Total capacity of disks mounted in host, in MiBĪmount of available memory in the host, in MiBĪmount of used memory in the host, in MiB Number of physical CPU threads on the host Physical CPU cores are the processors contained by a CPU package Number of physical CPU cores on the host. Percentage of CPU utilization in the host Sum of the MHz for all the individual cores on the hostĬPU usage across all cores on the host in MHz The vSphere integration provides metric data attached to the following New Relic events:
#VMWARE VSPHERE 6.5 INSTALL GUEST OS HOW TO#
Performance data is enabled and configured separately (see Enable and configure performance metrics).įor more on how to view and use your data, see Understand integration data. VSphere data is attached to these event types: You can query this data for troubleshooting purposes or to create charts and dashboards. View and use dataĭata from this service is reported to an integration dashboard.
#VMWARE VSPHERE 6.5 INSTALL GUEST OS UPDATE#
On-host integrations do not automatically update.įor best results, regularly update the integration package and the infrastructure agent. The configuration option inventory_source is not compatible with this integration. Each metric in the config file can be commented out and new ones can be added if needed.
The data collection level of the performance metrics collected can be modified using PERF_LEVEL. When ENABLE_VSPHERE_PERF_METRICS is set, all level 1 metrics are collected. Notice that the integration follows VMware's data collection levels (1 to 4). You can override the location of the performance metrics config file using PERF_METRIC_FILE environment variable. To collect vSphere performance metrics, use the ENABLE_VSPHERE_PERF_METRICS environment variable.ĭata is collected according to the settings in the trics configuration file. Performance metrics provide a better understanding of the current status of VMware resources and can be collected in addition to the metrics collected by default and included in the samples described at the bottom of the page.Īll metrics collected are included in the corresponding sample with the perf. vCenter service account having at least read-only global permissions with the propagate to children option checked.Infrastructure agent installed on a host.Our integration is compatible with VMware vSphere 6.5 or higher.īefore installing the integration, make sure that you meet the following requirements: You can create workloads using data collected via the vSphere integration. Set alerts based on any metrics collected from vCenter.Ĭreate workloads to group resources and focus on key data. Use the data retrieved to monitor key performance and key capacity scaling indicators. Monitor the health of your hypervisors and VMs using our charts and dashboards. Instrument and monitor multiple vSphere instances using the same account.Ĭollect data on snapshots, VMs, hosts, resource pools, clusters, and datastores, including tags. Our integration uses the vSphere API to collect metrics and events generated by all vSphere's components, and forwards the data to our platform via the infrastructure agent. VSphere data visualized in a New Relic dashboard includes operating systems, status, average CPU and memory consumption, and more. Go from high level views down to the most granular data.
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