Move to the cloud without moving the problems with you
Planned, wave-based migration with a cost model agreed before the first workload moves — and a rollback path behind every cutover.
What a migration actually involves
The technical move is the easy part. The planning, sequencing, and cost control are where migrations succeed or fail.
Discovery and dependency mapping
Every workload, integration, scheduled job, and forgotten server catalogued, so nothing is discovered mid-cutover.
The right R per workload
Rehost, replatform, refactor, replace, or retire decided workload by workload against cost and risk, not applied uniformly.
Database migration
Replication, dual-write windows, and verified backfills so cutover downtime is measured in minutes rather than weekends.
Landing zone and cost model
Accounts, networking, identity, and guardrails built as code, with a projected monthly bill signed off before the move.
Security and compliance carry-over
Identity, network segmentation, encryption, and audit evidence mapped to cloud equivalents your auditors will accept.
Cutover and rollback rehearsal
Every wave rehearsed in a dry run with a timed, tested rollback before the production window opens.
A migration run in waves, not one weekend
Four phases that turn a migration from a high-stakes event into a repeatable routine.
Assessment and business case
Inventory, dependency graph, and a modelled cost comparison. You get a go or no-go recommendation with the numbers behind it.
Landing zone build
Accounts, networking, identity, logging, and cost guardrails provisioned as infrastructure code before any workload arrives.
Wave migration
Low-risk workloads first to prove the runbook, then progressively more critical ones, each with a rehearsed cutover.
Optimise and decommission
Right-sizing, reserved capacity, and old infrastructure switched off — the step that turns a migration into a saving.
The migration stack we work with
Cloud-native services plus the automation that keeps the destination reproducible.
Migrations we take on
Different starting points, the same discipline about sequencing and rollback.
Data centre exit
A lease ending or hardware refresh due, with a fixed deadline and no appetite for buying another rack of servers.
Rescuing a stalled lift-and-shift
Workloads already on cloud virtual machines, costing more than on-premise and delivering none of the elasticity.
Cloud-to-cloud moves
Consolidating after an acquisition, or relocating for pricing, compliance, or data residency reasons.
Scaling past the current ceiling
Growth or seasonal load that fixed capacity cannot absorb without permanent over-provisioning.
What a disciplined migration delivers
Cloud value comes from what you change during the move, not from the move itself.
Cost you can predict
A modelled bill agreed before cutover, with tagging and budget alerts so surprises show up in days rather than quarters.
Elasticity that is real
Workloads that scale with demand instead of being sized for a peak that happens twice a year.
Recovery you have tested
Backup and disaster recovery become configuration rather than a documented hope, with restore times actually measured.
Faster environments
A new environment provisioned in minutes from code, which changes how quickly your teams can test and release.
Why teams choose us for cloud migration
Migration is a risk-management exercise that happens to involve infrastructure.
Learn more about us →Numbers before commitment
The assessment produces a real cost model. If the business case does not hold up, we say so before you spend the budget.
Rollback is never theoretical
Every cutover has a rehearsed, timed rollback. We do not open a production window without one.
Cloud-agnostic advice
We hold no reseller margin on any provider, so the recommendation follows your workloads and your team's skills.
We finish the decommission
Old infrastructure switched off and optimisation done. Migrations that skip this step never deliver the saving they promised.
Questions before a migration starts
Cost, downtime, and what happens to the team running the current estate.
Will the cloud actually be cheaper?
How much downtime should we expect?
AWS, Azure, or Google Cloud?
Can we migrate in stages?
What happens to our infrastructure team?
Planning a move to the cloud?
Book an assessment and we will map your workloads, model the cost, and give you an honest recommendation.
Book a Migration Assessment →