Solutions / Cloud & Platform Engineering

Move your infrastructure forward.

Migrate workloads, modernize platforms and improve day-to-day operation through a planned, controlled transition.

Discuss your use case

Approximately 500 workloads in six months · Completed delivery

Connected platformWorkflow example

Current estate

Application groups

Target platform

Validated workloads

01Map dependencies
02Prepare destination
03Replicate and test
04Validate cutover

8 ways to put it to work

Choose your starting point.

Infrastructure leaders and application owners

Move workloads out of the data centre

Map dependencies, prepare the destination and move application groups through tested migration waves with validation and recovery plans.

Read the migration case study

Cloud and platform teams

Move between cloud platforms

Plan workload and service changes, rebuild the destination foundation and test application behavior before the transition. Current engagement: AWS to GCP migration.

Plan a cross-cloud move

Platform and engineering teams

Make the platform easier to run

Improve deployment automation, observability, access and recovery. Turn the work uncovered during migration into a practical modernization plan.

Discuss platform modernization

Operations and infrastructure teams

Establish dependable platform operations

Define operating ownership, monitoring, runbooks and support for the platform layers your team needs help maintaining.

Discuss managed operations

Infrastructure and security leaders

Cloud foundations and landing zones

Establish identity, networking, access and operating standards for your target environment. Align public, private and sovereign cloud choices with the workloads and data requirements.

Discuss cloud foundations

Engineering and platform teams

DevOps and developer platforms

Build repeatable delivery with infrastructure as code, deployment pipelines, container platforms and the tools engineering teams need to release and operate software.

Discuss platform delivery

SRE and operations teams

Reliability, observability and recovery

Connect service telemetry to incident response, test recovery procedures and make platform health easier for teams to understand and act on.

Discuss platform reliability

Technology and infrastructure leaders

Cloud cost and performance improvement

Understand where capacity, architecture and operating choices drive spend. Prioritize changes against workload performance and business requirements.

Discuss cloud efficiency

The complete system

A clear path from assessment to operation.

Start with the estate and its dependencies. Agree workload destinations, execute controlled waves and validate the result with application owners before operational handover.

01Workload inventory, dependencies and destination decisions
02Target foundation and migration wave plan
03Cutover, validation and recovery runbooks
04Modernization priorities and operating ownership

Relevant work

Engineering you can explore.

Completed delivery

Approximately 500 workloads in six months

Approximately 500 VMware workloads moved to Amazon EC2 through replication, target-side validation and controlled cutover.

Explore the work

Current engagement

AWS to GCP migration

An active cross-cloud migration engagement. Workload planning, destination readiness and transition are tracked against the agreed scope.

Discuss your migration

Explore our migration and operations approach

Operating ladder

Assessment → Migration →
Modernization → Managed operations

Assessment

Reconcile the estate, dependencies, ownership, constraints and target disposition before committing waves.

Migration

Move application-consistent groups through a tested factory with standard and specialist exception lanes.

Modernization

Improve landing zones, platform services, observability, automation and workload operation after transition.

Managed operations

Operate agreed platform layers through runbooks, service controls, reporting and clear ownership.

Source-agnostic, destination-specialized

Choose the target
from the workload.

A destination-fit assessment records what can move, what should modernize, what must remain and which dependencies shape the transition.

VMware exit

Move compatible workloads to NC2/NCI/AHV or native cloud while keeping application dependencies and recovery paths explicit.

On-premises to public cloud

Establish the target foundation, replication, test launch, cutover and operational handover.

Cross-cloud migration

Rebuild the destination foundation, remap dependencies and move application groups through controlled transition.

Private and sovereign platforms

Assess isolation, data location, control-plane ownership and operational requirements before selecting a target.

Migration factory

A production system
for controlled transition.

The factory is an operating model—not a custom migration app. It combines accountable specialists, repeatable gates, established tools and programme control.

People

Platform, network, security, database, application, validation and operations specialists.

Process

Wave intake, readiness gates, cutover, acceptance, hypercare and exception management.

Tools

Configure established migration, replication, ITSM, monitoring and reporting platforms.

Control

Control tower, risk and exception backlog, evidence, metrics, decisions and escalation.

Every wave follows the same evidence path

01Discover

02Engineer

03Replicate

04Test

05Cut over

06Validate

07Hypercare

Entry evidence: dependency complete, replication healthy, runbook approved, test signed off, backup ready.

Exit evidence: business validation, data reconciliation, monitoring active, recovery verified, acceptance recorded.

Every wave exits with business validation, monitoring, recovery and acceptance evidence.