Cloud migration
Moving applications and data to AWS, Azure or GCP, choosing for each one whether to rehost, replatform or rebuild.
We move legacy applications to the cloud, break monoliths into services where it helps and replace manual processes with digital workflows. Work is planned in stages, so the business keeps running while the systems change underneath it.
The problem
Core applications run on old platforms that few people understand, so every change is slow and risky.
Moves to the cloud start with energy, then stop when the hard applications are reached, leaving two estates to pay for.
One large codebase means one release train, and a change in one area can break something unrelated.
Approvals, reconciliations and hand-offs happen over email and spreadsheets, with errors and no audit trail.
What we deliver
We pick the changes that matter most to the business and deliver them one stage at a time.
Moving applications and data to AWS, Azure or GCP, choosing for each one whether to rehost, replatform or rebuild.
Splitting out the parts of a monolith that change most or scale differently, without a risky full rewrite.
Replacing ageing systems with modern applications or proven products, with data moved and checked carefully.
Turning email and spreadsheet processes into workflows with clear steps, approvals and records.
APIs and event streams that connect old and new systems while they run side by side.
Training, documentation and support so people actually use the new systems.
How we deliver
Each stage delivers something that works, rather than waiting for one big cutover.
Always included
Typical tools
We review your applications, processes and constraints.
We plan the stages and prepare the ground.
The first systems move and run reliably in their new home.
We continue stage by stage and retire what is no longer needed.
Where we apply it
FAQ
Other managed services
Day-to-day running of AWS, Azure and GCP, with cost kept under steady watch.
Infrastructure as code, Kubernetes platforms and golden paths for product teams.
Pipelines that build, test, scan and deploy on every merge, with fast rollbacks.
Release calendars, change approvals, feature flags and canary rollouts.
Test strategy, automated regression, performance and API testing.
Observability, on-call and incident response around the clock.
L1 to L3 support for business apps, data pipelines and ML models.
AI strategy, GenAI and agents, data platforms, analytics, MLOps and transformation.
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.