Virtualization Platform Cost Assessment

Are you evaluating the cost of changing your virtualization platform? Do you seek higher fidelity in your cost analysis? To understand the cost of ownership, and the cost of transformation, you must consolidate critical data sets to derive an appropriate cost for your virtualized workloads. Our WWT team takes you through the steps necessary to build an effective hypervisor TCO model and a framework for future state CapEx and OpEx scenario planning.

What to Expect

Our team of experts will work with you to aggregate the organization's relevant inventory data, specification data, utilization data, relationship data and cost data across all layers of the private cloud technology stack (e.g. facilities, network, storage, compute, backup, software, containerization and virtualization). This comprehensive approach will help ensure you have a holistic view of the interdependencies associated with changing your virtualization platform.


A Virtualization Platform Cost Assessment generally consists of 6 steps:

  1. WWT identifies, cleanses and aggregates key data sources and data gaps within the organization.
  2. Our team calculates the appropriate unit-level cost for all virtualization platform technology categories (e.g. cost of rack space within each DC, cost of 1 TB of storage).
  3. We leverage these component costs to build the current state TCO for known and average workloads.
  4. WWT provides comparative OpEx costing benchmarks for alternative public and private cloud deployment patterns.
  5. WWT provides a structured framework to measure CapEx, or Cost-to-Achieve, for greenfield and brownfield workload placement.
  6. Our team provides a roadmap of recommendations to achieve near-term and long-term virtualization platform optimization.

Goals & Objectives

  • Identification of critical data sources, PoCs and data gaps to support an initial virtualization platform TCO model.
  • Construction of a TCO model to provide aggregate and unit-level costs for key spend categories (i.e. facilities, compute, storage, etc.).
  • Virtual Machine costing dashboard to track average and exceptional workload costs.
  • Configurable apples-to-apples workload cost comparison tool for public and private deployment patterns.
  • Go-forward roadmap to close data gaps within the TCO model, deliver application-level insights, and evaluate enterprise tooling to support continued operational growth.


Participants can expect 4 main outcomes from a Virtualization Platform Cost Assessment:

  • Unit-level and workload-level visibility to spend
  • Data-driven approach to comparing public and private deployment costs
  • Prioritized list of data gaps to boost financial maturity
  • Customer TCO Tool Owner(s)