
Cloud Transformation
Lifting a system into the cloud unchanged moves the problem and adds a bill. We migrate in a sequence that pays for itself — establishing the landing zone and the cost controls first, then moving workloads in the order that reduces the most risk.
What makes cloud migrations disappoint.
The technology rarely fails. The economics and the operating model are what catch people out.
The bill arrives before the benefit
Lift-and-shift keeps the old architecture and adds cloud pricing on top. Costs rise first, and the savings depend on refactoring that never gets scheduled.
Environments built by hand
Infrastructure clicked together in a console cannot be rebuilt reliably, so environments drift apart and disaster recovery is a document rather than a tested capability.
Security models that did not travel
Perimeter assumptions from the data centre do not hold in cloud. Identity becomes the boundary, and estates that miss this leak access quietly.
No owner for spend
Without tagging and per-team accountability, cloud cost is a single unattributable line item that nobody can act on.
Landing zone first, workloads in risk order.
Assess what you actually run
Dependencies, data gravity, licensing and compliance constraints — measured, not assumed. This is what decides whether a workload is rehosted, refactored or retired.
Build the landing zone
Accounts, networking, identity, tagging and guardrails as code before anything migrates, so every later workload inherits a governed environment.
Move in risk order
Low-risk workloads first to prove the pipeline, then the systems that matter, each with a tested rollback rather than a one-way cutover.
Optimise with the meter running
Right-sizing, autoscaling and commitment cover are tuned against real usage after migration, when the data finally exists to make those decisions.
What you actually receive.
Every item below is an artefact you keep, not a status report about work in progress.
- A workload assessment with a rehost, refactor or retire decision for each
- A landing zone defined as code: accounts, networking, identity and guardrails
- Infrastructure as code for every environment, rebuildable from the repository
- A tagging and cost-attribution model that maps spend to teams
- Migration executed in waves, each with a tested rollback
- Runbooks, alerting and a documented handover to your operations team
Built on a proven stack.
We select technology for fit and longevity, and integrate with the systems you already run.
- Fits your existing systems
- Secure and scalable by design
- Measured against business outcomes
- Supported after launch
The things clients ask first.
Per workload, not per programme. Rehosting is right when the driver is exiting a data centre on a deadline; refactoring is right when the running cost or the release cadence is the actual problem. Deciding this globally is what produces the disappointing outcomes.
Not automatically, and not immediately. Migration usually raises cost before optimisation lowers it. The savings come from right-sizing, autoscaling and commitment cover applied after you have real usage data — which is why we treat that as part of the work rather than a follow-on project.
Partly, and it has a price. Portability generally means giving up the managed services that make cloud worth using. We will show you where abstraction is cheap and where it costs more than the lock-in it avoids, and let you choose.
Some workloads should not migrate — licensing, latency and regulation are all legitimate reasons. Those stay put with defined connectivity into the cloud estate, and we say so early rather than forcing the whole portfolio through one door.
Have an idea? Let’s forge it.
Tell us where you want to go. We’ll help you get there with the right technology, delivered by a team that ships.