The Troubleshoot a Datastore dashboard displays the datastores that have high latency and their corresponding trend line.

You can either start troubleshooting with a datastore indicating high latency and seen in red on the heatmap or you search for a datastore. You can also sort all the datastores with active alerts and troubleshoot datastore with known issues.

When you select a datastore, the current capacity and utilization along with a count of VMs served by that datastore are displayed. The metric charts helps you to view historical trends of key storage metrics such as latency, outstanding I/Os, and throughput. The administrator can migrate these virtual machines over to other datastores to evenly spread out I/O load on affected virtual machines.

You can use the dashboard widgets in several ways.

Select a Datastore: Use this widget to select the datastore for which you want to view performance details. You can use the filter to narrow your list based on several parameters. After you identify the datastore you want to view, select it. The dashboard is automatically populated with the relevant data.

Current IOPS and Latency of the VMs in the selected Datastore: Use this widget to view the current IOPS and latency of the VMs in the selected datastore.

Datastores with High Latency and Outstanding IOs: Use this widget to view those datastores with high latency and outstanding disk I/O trends. Ideally, your datastores must not have outstanding disk I/O.

Use the other widgets in the dashboard to view trends for the selected datastore regarding disk latency, outstanding disk I/O, IOPS, and throughput.

Historical IOPS Trend of the selected VM widget and the Historical Latency Trend of the selected VM widget: Use these widgets to view the historical trend of IOPS and latency for a VM in the selected datastore. From the Current IOPS and Latency of the VMs in the selected Datastore widget, select a VM to populate the historical trends.