Risk-led grouping
Separate simple workloads from systems that need redesign or additional validation.
Legacy Virtualization Exit
Assess workloads, dependencies, and operating models before committing to a new virtualization or private cloud direction.
This solution helps teams understand what can move, what needs redesign, and what must be validated before committing to an exit plan.

Architecture
Subject to workload validation
Use this solution where the business driver, workload boundary, operating responsibility, and validation path are clear.
Separate simple workloads from systems that need redesign or additional validation.
Map workloads to private cloud, appliance, or customer-specific infrastructure options.
Review backup, rollback, and continuity requirements before execution.
Each solution should move through assessment, design, and validation before publication or commitment.
Document workloads, dependencies, usage, ownership, and support constraints.
Group workloads by complexity, business priority, and validation requirements.
Validate compatibility, risk, and operating scope before migration commitment.
FAQ
Licensing pressure and cost uncertainty are common drivers: proprietary infrastructure costs can limit long-term flexibility, and workload economics become difficult to govern. An exit plan replaces that dependency with open infrastructure the enterprise controls.
An open private-cloud foundation — typically OpenStack for infrastructure and Kubernetes for containerised workloads — with enterprise automation for operations.
Through a staged path: assess the current estate, design the target platform and migration approach, then validate before commitment. Workload moves are planned around operational continuity rather than a single cut-over.
No. The exit path here is to infrastructure you control — private cloud on open foundations — so workloads leave the proprietary stack without giving up data or operational control.
Next step
Start with your workloads, operating model, and control requirements.