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Solution · Cloud Migration

Move to the Cloud Without Losing Momentum.

A structured, wave-based migration approach that takes you from on-premises or legacy hosting to a well-governed cloud foundation on AWS, Google Cloud or Azure.
Discuss Cloud MigrationOur approach
  • Data-centre or hosting exit
  • Lower operational burden
  • Elastic capacity for growth
  • Modernisation-ready workloads
AWSGoogle CloudMicrosoft AzureUNIFIED ARCHITECTURE

The business challenge

Why this is harder than it looks.

Migration projects fail less often because of technology than because of planning: unknown dependencies, unclear ownership, underestimated data movement and cost models that ignore how cloud pricing really works.

  • Hidden dependencies

    Applications rely on shared databases, file systems and network paths nobody documented.

  • Downtime risk

    Critical systems cannot simply be switched off while they move.

  • Cost uncertainty

    Lift-and-shift without rightsizing can cost more than the original environment.

  • Skills and operations

    Teams need new operating practices once workloads run in the cloud.

Technical approach

How we approach it.

  1. 1

    Portfolio discovery

    Automated and interview-based inventory of applications, infrastructure and dependencies.

  2. 2

    Strategy per workload

    Each application assigned a path — rehost, replatform, refactor, repurchase or retire.

  3. 3

    Landing zone first

    A secure, governed foundation built as code before any workload moves.

  4. 4

    Wave execution

    Grouped migrations with rehearsals, data replication, cutover runbooks and rollback criteria.

  5. 5

    Optimise after move

    Rightsizing, autoscaling and managed services adopted once workloads are stable.

Architecture concepts

A layered reference architecture.

Every engagement is tailored, but these layers form the backbone of a well-engineered solution.
  1. Landing zoneAccount / project hierarchy, policies, identity federation and centralised logging.
  2. ConnectivityHybrid networking with VPN or dedicated interconnect during the transition.
  3. Workload platformsVirtual machines, containers or serverless targets matched to each application.
  4. Data migrationReplication, validation and synchronisation tooling for databases and storage.
  5. OperationsMonitoring, backup, patching and cost reporting from day one.

Relevant services

The capabilities behind this solution.

Cloud & Infrastructure

Cloud Computing

Design, migrate and operate secure, cost-efficient cloud environments across AWS, Google Cloud and Microsoft Azure.

  • AWS
  • Google Cloud
  • Microsoft Azure

DevOps & Platform Engineering

DevOps & Platform Engineering

Automated CI/CD, Kubernetes platforms and infrastructure as code that let your teams ship faster and operate reliably.

  • GitHub Actions
  • GitLab CI
  • Jenkins

Security & Consulting

Cybersecurity

Security engineered into cloud, applications and delivery pipelines — from assessments to zero-trust architecture.

  • AWS Security Hub
  • GuardDuty
  • Security Command Center

Business benefits

The outcomes you can expect.

  • Predictable migration

    Clear waves, runbooks and success criteria reduce risk at every cutover.

  • Controlled cost

    Rightsizing and FinOps practices prevent post-migration bill shock.

  • Improved resilience

    Multi-zone designs and automated backups raise availability.

  • Platform for innovation

    Managed data, AI and analytics services become accessible.

Delivery methodology

A phased, low-risk path.

Indicative durations — actual timelines are agreed after discovery.

Related technologies

  • AWS
  • Google Cloud
  • Microsoft Azure
  • Terraform
  • AWS Application Migration Service
  • Azure Migrate
  • Migrate to Virtual Machines
  • Database Migration Service
  1. 01

    Assess

    Weeks 1–4

    Inventory, dependency mapping, business case and target architecture.

  2. 02

    Mobilise

    Weeks 3–8

    Landing zone, pipelines, migration tooling and pilot workload.

  3. 03

    Migrate

    Per wave

    Wave-based migration with hypercare after each cutover.

  4. 04

    Optimise

    Ongoing

    Rightsizing, modernisation backlog and operational handover.

FAQs

Common questions.

Relevant industries

It depends on the number and complexity of workloads. A small estate may move in weeks; larger portfolios are migrated in waves over several months. The assessment phase produces a realistic timeline.

Usually not. Rehosting or replatforming first and modernising afterwards often delivers value sooner with less risk. We refactor during migration only where it clearly pays off.

Let's plan your cloud migration.

A short consultation is the fastest way to understand scope, risks and a realistic path forward.

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