Enterprise Summary

The starting point: utilization, alerts, efficiency, and performance for every array on one screen.

Enterprise Summary answers the first question about any storage estate: where should I be looking? The top of the screen shows how your devices distribute across utilization ranges, where alerts are firing, and how many devices sit in each latency band. If a device is in the red utilization range or the slow latency band, it stands out immediately.

Enterprise Summary dashboard showing used, usable and free capacity, enterprise alerts, device count by utilization percentage, IOPS and latency totals, and device count by latency

What this screen shows

  • Summary cards: total used, usable, and free capacity, percent of usable consumed, enterprise alerts, total IOPS, latency, and throughput.
  • Device Count by Utilization: how many devices sit in each utilization band, so the ones running hot are visible at a glance.
  • Device Count by Latency: the same banding for response time.
  • The grid: every device group with capacity, efficiency, pool, host, and performance columns.
Enterprise Summary grid listing device groups with data reduction ratio, allocated, used, usable, percent used, orphan space, effective free, pools, hosts, IOPS and latency columns

The four columns worth checking every week

ColumnWhat it tells youWhat to act on
Data reduction (DRR)Real efficiency delivered per device: compression, deduplication, and reduction combinedLarge ratio gaps between platforms doing similar work
Orphan spaceCapacity that looks used but has no host attachedReclaim candidates; confirm they are not replication or DR targets first
PoolsFragmentation indicator; allocations cannot span poolsHigh pool counts with free space that may be unusable in practice
IOPS / LatencyWhere the work goes and whether the arrays keep upDevices carrying heavy workload with poor response time

Data reduction. Differences between devices are buying signals: if one platform delivers 4:1 and another delivers 1.3:1, the same purchased terabyte goes four times as far on the first. Some vendor reports inflate this ratio by counting thin provisioning; Visual One counts only the efficiency mechanisms that reduce real consumption.

Two device groups compared: one delivering 1.27 to 1 data reduction and another delivering 4.42 to 1

Orphan space. At typical storage costs it adds up fast: 100 TiB of orphan space at $750 per TiB is $75,000 of avoidable spend. Orphan space is usually reclaimable, with one caveat: replication targets and DR sites legitimately hold storage with no local host, so confirm before reclaiming.

Pools. A device with 18 pools can show plenty of free space in total while being unable to satisfy a single large allocation. If you keep every pool at 80% utilization, 18 pools means roughly 300% more stranded free space than the same capacity organized into 4 pools. Fewer, larger pools also reduce management overhead on the array itself.

Free space by disk group pie chart showing free capacity fragmented across many small pools

Performance. A device carrying heavy IOPS with the best response time is healthy. A device doing a lot of work with poor response time is the problem to chase.

Device level IO workload showing one array carrying 234,000 IOPS at 0.22 ms latency, well ahead of the next device
Host level IO view sorted by IOPS with host identifiers redacted

Tip: Sort the grid by any of these four columns. The outliers at the top of each sort are the week’s questions worth asking.

Real-world use case

A prospective customer received a single note after an initial data collection: the environment held roughly 250 terabytes of orphan space, concentrated on one array and clearly tied to one database platform by the volume naming. The customer investigated, confirmed a cancelled project had left the capacity provisioned but unused, and cancelled a half million dollar array purchase that was already in motion. Reclaimed orphan space is the fastest cost avoidance in storage.

Drill from anything here into All Units for per-resource detail, Trends for how these numbers move over time, and Enterprise Capacity Plan for when they become purchase decisions.

Last updated: August 24, 2026