Home > Storage > Data Storage Essentials > DataIQ and CloudIQ > CloudIQ: A Detailed Review > Block Object Details – Performance
The Performance tab for block objects (APEX Block Data Storage Services, PowerStore, Unity XT family, SC Series, and PowerVault) provides performance details for the block object activity. Similar to the system and pool level performance charts, CloudIQ identifies performance anomalies for each performance metric. For Unity XT family systems, APEX Block Data Storage Services, and PowerStore, CloudIQ also identifies performance impacts at the object level.
Highlighting an area in the performance charts for a block object identifies up to the five most active virtual machines contributing to the metric during that time period. Unity XT family systems, APEX Block Data Storage Services, and PowerStore have the additional feature of providing the virtual machines that most closely correlate to the behavior in the selected time range. This correlation is shown under the Best Match tab.
The following shows two performance impacts on a Unity XT block latency chart. The first is an impact only, the second is an impact with a performance anomaly. Selecting the Details button opens a window in the right side of the chart identifying storage objects whose IOPS are correlated with the rise in latency for the impacted LUN. These objects are the most likely candidates causing workload contention and the performance impact. CloudIQ also identifies if there is possible resource contention for Unity XT LUNs experiencing a performance impact.
The bottom of the page displays LUN or Volume performance charts for the following metrics:
In the following screenshot, a region of the IOPS chart is highlighted. The left side of the chart displays the Most Active tab which displays the most active virtual machines contributing to the metric during that time period. In the Bandwidth chart, the Best Match tab is selected which identifies the VM whose bandwidth most closely correlates to the metric during the selected time period.