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Discover
Application inventory, dependency mapping, workload profiling and current-cost baseline.
Output: documented estate with a disposition recommendation per system.
Cloud Migration & Transformation
Migration with the architecture rebuilt.
Migration strategy, workload and data movement, and cloud-native modernization across AWS, Azure and Google Cloud.
What Is Cloud Transformation and Migration?
Cloud migration and transformation is the movement of applications, data and infrastructure to cloud platforms, with re-architecture to use cloud-native capability.
Migration relocates the system. Transformation changes how it runs.
What Migrations Cost When They Go Wrong
50%
Cloud buyers spent more than they expected, with 59% anticipating the same the following year.
IDC, Cloud Pulse 4Q 2023
23%
Average underestimation of cloud spends, persisting after migration completes.
Flexera, State of the Cloud Report
38%
Migrations exceed their original budget, with the average overrun at 23% above plan.
IDC
Signs You Need Cloud Transformation
- Datacentre Contracts Approaching Expiry
- Infrastructure Unable to Scale with Demand
- Capital Expenditure Tied to Hardware Refresh Cycles
- Environments That Cannot Be Reproduced Reliably
- Regulatory Requirements the Current Estate Cannot Meet
- A Previous Migration That Stalled or Underdelivered
What Cloud Transformation Covers
Application inventory, dependency mapping and workload profiling, producing a migration disposition for each system against the seven R’s.
Target platform selection, migration sequencing, and the financial model behind it, including run-cost projections against current spending.
Execution of the migration programme in validated waves, with rollback positions defined at every boundary.
Workload movement across rehost, replatform and refactor paths, selected per application rather than applied uniformly.
Schema conversion, data transfer and validation, with cutover strategies that hold consistency during transition.
Re-architecture to use managed services, autoscaling and event-driven patterns, so the platform delivers more than relocated capacity.
Application packaging and orchestration for portable, consistent deployment across environments.
Landing zones, networking and platform configuration defined declaratively in Terraform, version controlled and reproducible.
Workload placement across providers, with portability, data sovereignty and exit position addressed at the architecture level.
How We Run Cloud Migrations
Cloud Migration & Transformation runs Discover through Launch on The Pivot.
Cost governance afterwards runs through Cloud Optimization, and operational ownership through Cloud Reliability & Operations.
What You Walk Away With
An estate that runs in the cloud and costs what it was supposed to.
Application inventory with dependency mapping and migration disposition per system- A wave-sequenced migration roadmap with defined rollback positions
- A run-cost model projected against current infrastructure spend
- Landing zones and platform configuration defined in code, in your repositories
- Migrated workloads validated under production traffic
- Runbooks and operational documentation under your ownership
Our Technology Landscape
Cloud platforms
- AWS
- Microsoft Azure
- Google Cloud
Infrastructure as code
- Terraform
- Pulumi
- CloudFormation
- Ansible
Containers and orchestration
- Docker
- Kubernetes
- Helm
- EKS
- AKS
- GKE
Migration and data
- AWS DMS
- Azure Migrate
- Google Migrate
- Apache Kafka
- Debezium
Networking and security
- Cloud-native identity
- private networking
- secrets management
- policy as code
Observability
- Datadog
- Grafana
- Prometheus
- OpenTelemetry
Common Questions
Lift and shift move a system unchanged. Cloud-native rebuilds it for managed services and autoscaling. Lift and shift is cheaper up front, and often why cloud bills exceed the datacenter they replaced.
Yes. Migration runs in waves with defined rollback positions, and cutover happens once the target environment has been validated under production-equivalent load.
No. A readiness assessment produces a disposition per application, and retaining or retiring a system is a valid outcome. Moving workloads that should have stayed is one of the more common causes of repatriation.
Usually not initially. Multi-cloud adds operational complexity and is justified by data sovereignty, regulatory requirement or genuine concentration risk rather than by principle.
Run costs are modelled during the assessment and validated after migration, so there are no surprises on the first invoice. Where the estate needs ongoing governance, that runs through Cloud Optimization.
Start With a Readiness Assessment
A dispositioned inventory and a run-cost model against your current infrastructure spend.
Book a readiness assessment