Monitoring Volumes

Explains how to monitor volume parameters using the Control System.

About this task

You can monitor volume:

Monitoring Volume Disk Usage Using the Control System

Procedure

You can view:
  • Volumes that use the most amount of allocated disk space in the Top Volume Utilization pane under Data > Volumes.
    NOTE The Volumes page is under the Volumes menu on the Kubernetes version of the Control System.
  • Disk usage trend for a volume in the Usage Trends pane in the Summary tab of the volume information page. You can select a preset (shown in the following screenshot) or specify a custom time range (shown in the following screenshot). You can zoom in (by clicking and dragging the cursor in the pane) for a more granular view. Click Reset Zoom to zoom out and return to selected date/time range view.
NOTE The metrics collection infrastructure must be installed during installation to visualize the metrics in the various panes. If the metrics collection infrastructure is not installed, perform an Incremental Install to view the charts described here.

Monitoring Local and Remote Storage for Volumes

About this task

You can view the following storage utilization metrics for tiered volumes in the Data > Volumes > Local & Remote Usage pane.

NOTE The Volumes page is under the Volumes menu on the Kubernetes version of the Control System.
  • Local — The total disk space (in GB) used (before compression) for the volumes in the HPE Ezmeral Data Fabric cluster. This value does not include erasure-coded backend volumes and cache-volumes because their logical usage is already accounted for by the front-end and parent volumes respectively.
  • Cold Offloaded — The total physical data (in GB) offloaded to the cold tier. This is calculated using the following: amount of data purged from the hot tier (HPE Ezmeral Data Fabric cluster) + amount of data recalled to the hot tier (HPE Ezmeral Data Fabric cluster).
  • Warm Offloaded — The total physical data (in GB) offloaded to the erasure coded volume (warm tier). This is calculated using the following: amount of data purged from the hot tier (HPE Ezmeral Data Fabric cluster) + amount of data recalled to the hot tier (HPE Ezmeral Data Fabric cluster).