FinOps Concentration: software functionality concentrating on a specific technology or a specific FinOps activity
Area of concentration
FinOps for on-premises, private cloud, and hybrid infrastructure, with specialist depth in enterprise storage
Source basis
VisualOne reference documentation (FinOps for VisualOne Reference Guide; VSI Screen Reference Guide; VSI Virtualization Reporting User Guide; Visual One Storage Reference)
Statement of concentration
Visual One Intelligence concentrates on a segment of FinOps that general-purpose cloud cost platforms do not address: applying rigorous FinOps discipline to infrastructure the organization owns. Public cloud arrives with a vendor-issued bill; on-premises storage, virtualization, backup, and enterprise compute do not. There is no invoice to parse, no published rate card, and no per-resource charge record, which is why most FinOps tooling stops at the cloud boundary and treats the owned estate as a single opaque line item.
VisualOne’s concentration is the construction of that missing cost model from first principles, at device and sub-device granularity, and the application of the full FinOps lifecycle (allocation, chargeback, unit economics, optimization, forecasting, and budgeting) to it. Within that concentration, the platform’s deepest specialization is enterprise storage, which carries the most detailed screen coverage, the most granular inventory hierarchy, and the most storage-specific optimization logic in the product.
Depth of specialization: building the cost basis that does not exist
For owned infrastructure, the platform derives a defensible per-resource cost where no billing record exists.
Element
Implementation
Cost component model
Every device carries configurable Power Cost, Floor Space Cost (inclusive of cooling and power distribution), and Personnel Cost, plus Purchase Price and annual Maintenance Cost
Capital amortization
Purchase Cost per Day = Total Acquisition Cost ÷ Life of Asset (days), with Life of Asset derived from Purchase Date and Retired Date
All-in daily rate
Cost of Asset per Day = Daily Operating Cost + Purchase Cost per Day: capital and operating expense resolved into a single daily figure per asset
Normalization
Total Cost per GiB per Day = Cost of Asset per Day ÷ Usable Capacity, producing a comparable unit rate across assets of different size, age, vendor, and class
Published methodology
Ten documented sections of formulas with worked examples covering operating cost, normalization, depreciation, TCO, allocation, variance, forecasting, savings realization, payback, and ROI
Administrative source of truth
An admin-scoped Operating Cost screen holds the per-device assumptions, editable inline or through a CSV export, edit, and re-upload cycle
Worked outcome
A 100 TiB array at $100,000 over a 1,825-day life with $12.67/day operating cost resolves to $67.46 per day all-in, $0.0659 per GiB per day, and $246.23 per TiB annually
Depth of specialization: enterprise storage
Element
Implementation
Screen coverage
23 documented storage screens, the largest single module in the platform
Inventory hierarchy
All Units views at six distinct levels: Devices, Pools, Volumes, LUNs, Shares, and Nodes
Estate segmentation
Storage Environment views by Data Center, by Classification, and by Geography
Storage-native waste detection
Orphaned LUNs (allocated but unattached volumes) and Volume Locked Free Space (capacity trapped inside allocated volumes), findings that require storage-layer understanding rather than generic utilization thresholds, valued per array in both dollars and reclaimable GiB
Capacity fidelity
Effective vs. physical capacity, deduplication and compression status, and Data Reduction Ratio trending, so cost is normalized against genuinely usable capacity
Dual-axis planning
Pool and Device Capacity Plans model both Capacity (GiB) and Performance (IOPS / bandwidth) constraints, with a scenario dialog accepting date, capacity, workload, growth, and notes, and identifying capacity-exhaustion dates
Storage health specificity
Alert categories including Storage Layout, Hard Quota Applications, and Advisory Quota; status indicators for Balance, Server Volume Mapping, Storage Layout, and Volumes & Snapshots
Media and topology awareness
Drives by Type distribution (SSD / SAS / SATA / Fibre), device Tier (0 to 10), Classification (Block / File / Object / Archive), and Physical Diagram topology
Vendor breadth within the specialization
NetApp, Dell EMC (Isilon, Unity, VPLEX, XtremIO, Compellent), IBM (V7000, FlashSystem, DS8000, SVC), HPE 3PAR, Hitachi (Ops Center, HNAS, VSP), and Pure Storage
Depth of specialization: virtualization and private cloud
Element
Implementation
Module scope
16 documented screens in the Virtualization Reporting module
Object hierarchy
Environment / vCenter to Data Center to Cluster to Host to VM to Datastore / LUN to VMDK
Private-cloud-native capacity concepts
Build Capacity (how many additional VMs fit, and negative when a constraint is exceeded), Weeks Left to Capacity, Capacity Score (0 to 100), and Capacity Constraint / Limiting Factor
Sub-host cost allocation
CPU Cost % and Memory Cost % (typically 50/50) decompose a shared host into per-vCPU and per-GiB-memory rates, enabling VM-level chargeback of owned hardware
Owned-estate optimization
VM Right-Sizing with target allocations and an Approve action; Orphaned VMDK inventory sortable by size; CPU and memory over-provisioning valued per vCenter
Hardware scenario modeling
Cluster Modeling with custom host model definitions and month-to-add, reporting resulting vCPU, memory, disk, VM build, and cost positions to justify a purchase before it is made
The complete FinOps lifecycle applied to owned infrastructure
The concentration is not partial coverage of FinOps for infrastructure. It is the full lifecycle.
FinOps activity
Applied to owned infrastructure
Allocation
Device and host tagging, unified tag keys with Foreign Tag Key mapping, All Tags catalog, Tag Summary and Tag Cost Inventory
Chargeback
Chargeback Report by any tag dimension with resource-level bill backup, three allocation models (equal, usage-based, tag-based)
Unit economics
Price per GiB, $/TiB annual and daily, cost per GiB per day, per-vCPU and per-GiB-memory rates, TCO per TiB
Optimization
Savings Report and Optimization Recommendations spanning storage, compute, and cloud findings in one place, with Open / Suggested / Applied adoption tracking and Realization % measurement
Forecasting
Tag Forecasting projecting Compute, Storage, Cloud, and Total effective cost past the current date; capacity runway forecasting; four documented forecast methods
Budgeting
Cost Per Sector budget vs. actual with variance amount and percentage, and a monthly variance review cycle
Asset finance
Financial Administration Report and Amortization Report delivering depreciation schedules, TCO, and a general-ledger-reconcilable fixed asset position
Efficiency scoring
Cost Efficiency Dashboard scoring owned assets 0 to 100 and tiering them Optimal / Efficient / Underutilized / Wasteful
Standards interchange
FOCUS Export expressing on-premises cost in the same open specification as cloud billing data
What the concentration produces
Outcome
Basis
A single hybrid cost picture
Storage, Compute/Virtual, and Cloud normalized into one model, with a Total roll-up, rather than a cloud tool and a separate infrastructure spreadsheet
Chargeback across the whole estate
One Chargeback Report allocating owned and cloud infrastructure to the same departments on the same basis
Defensible unit rates for owned assets
Published formulas and administrator-controlled inputs, producing per-unit costs that survive scrutiny from Finance and audit
Waste findings cloud tools cannot see
Orphaned LUNs, volume locked free space, orphaned VMDKs, and over-provisioned owned hardware, each valued in currency and reclaimable capacity
Capital planning integrated with FinOps
Depreciation, asset life, refresh timing, TCO comparison, payback, and ROI held in the same platform as operational cost
Allied discipline alignment
ITAM asset lifecycle, ITFM depreciation and GL reconciliation, and ITSM escalation via ServiceNow, all working from the shared dataset
Summary
Item
Position
Area of concentration
FinOps for on-premises, private cloud, and hybrid infrastructure
Virtualization and private cloud: 16 screens, full object hierarchy, build capacity and constraint modeling, sub-host cost allocation
Distinguishing capability
Constructing a defensible per-resource cost basis for infrastructure that issues no bill, using a published and administrator-controlled cost model
Lifecycle completeness
Allocation, chargeback, unit economics, optimization, forecasting, budgeting, asset finance, efficiency scoring, and FOCUS interchange all applied to owned infrastructure
