Choose the right home for your workloads.
Compare your current platform with a private-cloud design using real utilization, licensing, operating costs and application dependencies. Migrate when the evidence supports the move.
The problems we're built to solve.
Understand the bill
Separate demand growth, idle capacity, licensing and data-transfer charges before choosing a different platform.
Map data movement
Model traffic between users, applications, services and regions, including applicable transfer charges.
Measure capacity needs
Compare actual utilization, peak demand and scaling requirements with the proposed capacity.
Review control boundaries
Identify the services, agreements, access boundaries and evidence required for your environment.
Model AI workloads
Include inference, embedding, storage, network and operating costs in the comparison.
Assess platform dependencies
Review portability, managed-service dependencies and recovery requirements before changing platforms.
What to agree upfront.
What to scope for your environment.
Define the operational foundation with your team: access, monitoring, recovery, data boundaries and any required agreements.
TCO assessment planning
Discuss the information needed for a cost comparison and arrange an appropriate secure sharing method before sending billing or environment records.
Migration playbook
Inventory managed-service dependencies, data formats, integrations and runtime requirements before selecting migration patterns.
Private cloud destination
Review workload placement, isolation, compatibility and available capacity in the proposed Ultiblob private-cloud environment.
Data protection requirements
Specify encryption, key ownership, access controls and audit evidence for the destination. Validate the design against workload requirements.
Cutover orchestration
Staged cutover with tested rollback paths, an approved maintenance plan, and explicit validation before the old environment is retired.
Operated after cutover
Agree support coverage, handover, maintenance and escalation responsibilities before cutover.
Starting points, not surprises.
Discuss scope and dependencies with our team. Confirm current pricing and inclusions in a written proposal.
- Usage and billing inputs
- Architecture requirements
- Comparison assumptions
- Assessment fees and timing
- Dependency mapping
- Cutover and validation
- Rollback requirements
- Operating responsibilities
- Application dependencies
- Data platform requirements
- Migration effort
- Costs and acceptance criteria
Common questions, answered.
The schedule depends on data volume, replication options, integrations, test coverage, and the approved maintenance window. We publish the runbook, rollback path, and timing assumptions before cutover.
Define the rollback trigger, responsible operator, data recovery point and rehearsal before cutover. Keep the prior environment recoverable until acceptance.
Define data export, licensing, repository access, exit assistance, costs and timing in the agreement. A migration proposal does not establish unrestricted portability.
Identify applicable requirements, control owners and evidence before migration. Revalidate affected controls after the move; changing platforms does not establish compliance.
Built for teams evaluating workload placement.
Explore an illustrative estimate, or book a scoping call with a specialist.
Explore migration phases and assumptions.
These illustrative phases and durations change with your selections. An actual schedule requires dependency mapping, testing, recovery planning and an agreed scope.