Solutions
Capacity Forecasting and Storage Strategy
Long-retention data, digital documents, databases, and media workloads need more than a free-space check. A practical capacity plan connects growth drivers, retention requirements, performance needs, snapshot overhead, and expansion lead times.
- A defensible capacity forecast with conservative and high-growth scenarios
- Clear storage sizing, reserve, and expansion recommendations
- Ongoing review points before capacity becomes an operational risk
Virtualization Modernization Planning
Platform changes should begin with workload evidence, not a broad lift-and-shift assumption. GridCommand helps classify workloads, identify dependencies, model target capacity, and build a migration sequence that protects production operations.
- Workload classification and target-platform decision rules
- Capacity, licensing, data-migration, and operational-risk analysis
- A phased migration plan with validation, rollback, and ownership checkpoints
Data Placement and Recovery Architecture
Not every workload belongs on the same platform or has the same recovery priority. This solution maps service dependencies, identifies data that needs replication or local recovery, and establishes a recovery order that supports the business first.
- Appropriate placement for data-heavy, business-critical, and legacy workloads
- Recovery priorities tied to the services that restore operations
- Clear assumptions, risks, and next implementation steps