Solutions
Cloud Migration Services
Plan and execute application, data, and platform migrations to cloud environments with dependency mapping, staged cutovers, validation, and operational handover.
Inside the delivery
Map applications, data, identity and integrations; classify what should move, change or remain. The flow below shows the main delivery stages and the evidence produced at each step.
Map applications, data, identity and integrations; classify what should move, change or remain.
Output
Dependency inventory and migration waves
Prepare network, access, logging and recovery foundations before moving workloads.
Output
Landing-zone configuration and readiness checklist
Move a representative workload and reconcile data while measuring downtime and dependencies.
Output
Rehearsal findings and migration procedures
Use explicit go/no-go criteria, validate service behavior and retain a defined recovery path.
Output
Cutover evidence and operational handover
Controls across the workflow
Before you commit
Overview
Programmatic migrates workloads to cloud environments through discovery, landing-zone and identity design, application and database migration, modernization where justified, observability, resilience, and controlled cutover. The goal is not simply to move servers, but to leave the workload easier to operate and evolve.
Capabilities
Select the work that addresses your constraint. Responsibilities and acceptance criteria are agreed before delivery.
Build a reliable inventory of applications, databases, interfaces, batch jobs, identities, infrastructure, performance, and operational dependencies.
Establish accounts or subscriptions, identity, networking, policies, environments, logging, and deployment patterns before moving critical workloads.
Choose rehost, replatform, refactor, or replace decisions workload by workload based on business and technical evidence.
Move databases and data with reconciliation, compatibility testing, backup, recovery, and cutover planning appropriate to acceptable downtime.
Design workload-specific access, secrets, encryption options, backup, recovery, availability, and incident visibility in the target environment.
Make the migrated system observable and operable, then tune resources, architecture, and spend based on actual production behavior.
Comparison
| Criterion | Rehost (lift and shift) | Refactor | Replace |
|---|---|---|---|
| Time to move | Fastest | Slower, per workload | Slowest |
| Cloud cost after moving | Often higher than on-premise | Lower, sometimes much | Depends on the product |
| Risk during migration | Lowest, the app is unchanged | Moderate | Highest, the process changes too |
| Best when | A deadline forces the move | The workload will stay and grow | The system no longer fits the business |
| Common mistake | Treating it as the end state | Refactoring everything at once | Underestimating data migration |
Scroll horizontally to view the full comparison on smaller screens.
Pricing
Migration is priced in phases because the assessment determines the size of everything after it. Committing to a full programme before the inventory is complete is how migrations overrun.
Fixed-scope inventory, dependency mapping, per-workload disposition, target architecture and modelled running cost.
Foundations plus the first workload group, establishing the patterns, automation and validation approach the later waves reuse.
Remaining workloads at an agreed cadence, ending with right-sizing and retirement of the source platform.
Integrations
Tools are chosen around your existing systems, access requirements and operating constraints.
Frequently asked questions
No. Rehosting, replatforming and refactoring have different risk and effort profiles. Choose per workload; a forced rewrite can make a time-sensitive migration harder to control.
Depending on the workload, we can rehost, replatform, refactor, retire, retain, or replace components. We decide at the workload level rather than forcing one strategy across the portfolio.
Yes. We work with major cloud platforms and design the target around the applications, data, identity, networking, operations, and organizational standards involved.
We assess data volume and change rate, use replication or staged synchronization where appropriate, test cutover procedures, define rollback criteria, and schedule migration waves around the business tolerance for interruption.
Only where the benefit justifies the added change. We often separate low-risk movement from deeper refactoring, while making targeted upgrades when an old runtime or architecture would immediately constrain the cloud workload.
Validation can include functional tests, integration checks, data reconciliation, performance baselines, security review, backup and recovery tests, monitoring, and business-owner acceptance.
We establish operational ownership, monitor reliability and cost, tune resources and architecture, close migration exceptions, and help retire or reduce legacy infrastructure when the new environment is proven.
Application inventory, infrastructure access, dependency diagrams, data volumes, licensing constraints and allowable downtime.
The agreed delivery includes cutover evidence and operational handover. Use explicit go/no-go criteria, validate service behavior and retain a defined recovery path.
We review the available inputs before estimating: Application inventory, infrastructure access, dependency diagrams, data volumes, licensing constraints and allowable downtime. The proposal identifies dependencies, review milestones and excluded work; the scope determines the schedule.
Related
Start a conversation
Share your current situation and the constraint you need to resolve. We will use the discovery inputs above to define a practical scope for Cloud Migration Services.