CLOUD MIGRATION

The migration is not finished when the workload moves

Plenty of organisations have completed a migration and ended up with a higher bill, the same operational problems and a new dependency they cannot easily unwind. Lift-and-shift does that reliably: it moves an environment sized for a capital purchase into a model that charges by the hour. We plan migrations around what things will cost to run and who will operate them afterwards — then move in waves, so you can change your mind at any point without unwinding the whole programme.

What we bring to Cloud Migration

The bill is modelled before anything moves

Assessment produces a projected monthly run rate per workload, with the right-sizing, storage tiering and commitment assumptions written down. If a workload is cheaper where it is, that appears in the report. A migration business case built only on capital avoidance tends not to survive its first full quarter.

Waves, not a weekend cutover

We group workloads by dependency and risk and move them in sequence, starting with something low-stakes that proves the pattern. Each wave has its own rollback. Big-bang cutovers concentrate every risk in the one window where you have the least time to think.

We choose the migration strategy per workload

Rehost, replatform, refactor, replace or retire — decided workload by workload against effort, run cost and remaining useful life. Refactoring everything is an expensive way to be late; rehosting everything is an expensive way to be disappointed. A meaningful share of most estates should simply be switched off.

Residency and sovereignty settled up front

Where data physically lives, which entity can be compelled to hand it over, and which regions and services are permitted under your obligations — these are architecture inputs, not paperwork to complete afterwards. We design region strategy, encryption and key custody to match the commitments you have made to your own customers and regulators.

An exit path is part of the design

We favour portable building blocks — containers, standard databases, infrastructure as code — and document what it would take to leave. Managed services are often worth the lock-in, but that should be a decision you made knowingly, with the cost of reversal on the table.

How we can help

What our Cloud Migration covers

01

Cloud assessment & readiness

A full inventory of servers, applications, data stores and dependencies, with each workload scored for migration approach, effort, risk and projected run cost. Output is a prioritised plan and a business case you can hold someone to.

02

Migration planning & wave design

Target architecture, landing zone, network and identity design, wave sequencing by dependency, cutover runbooks and rollback criteria. Every wave has a defined success test and a defined way back.

03

Data migration

Databases, file stores and warehouses moved with replication and validation rather than an overnight copy and hope. Checksums and record counts on both sides, a rehearsal against production-scale data, and a defined cutover window with a documented reversal path.

04

Application migration & modernization

Applications rehosted, replatformed onto managed services, or containerised where that genuinely reduces operating effort. We modernise where it pays back inside the plan and leave the rest alone until it does.

05

Security, identity & compliance

Identity and access design, network segmentation, encryption in transit and at rest with clear key custody, logging and audit trails, and controls mapped to the regimes you operate under. Cloud breaches are overwhelmingly misconfiguration, so the baseline is enforced in code rather than in a policy document.

06

Post-migration optimisation & support

The part most programmes skip. Right-sizing against real usage, storage lifecycle rules, autoscaling, commitment planning once demand is understood, plus monitoring, alerting and an agreed response window. This is where the promised savings actually get realised.

How we work

The engagement, step by step

  1. 01

    Discovery & assessment

    Automated dependency discovery plus interviews with the people who operate the systems. We map what runs, what talks to what, what nobody owns any more, and what can be retired before it is moved.

  2. 02

    Strategy & planning

    Platform selection, target architecture, landing zone, per-workload migration strategy, cost model, wave plan, timelines and risk mitigation. You approve a document with numbers in it, not a direction of travel.

  3. 03

    Proof of concept

    One representative workload migrated end to end to validate the approach, the tooling, the network path and the cost model. It usually finds two or three assumptions that were wrong, which is exactly why it happens before the schedule is fixed.

  4. 04

    Migration in waves

    Execution wave by wave against the runbooks, with rehearsed cutovers scheduled around your business calendar. Most workloads move with minutes of downtime; some need a maintenance window, and we say which at planning time rather than on the night.

  5. 05

    Testing & validation

    Functional testing, performance testing against realistic load, data integrity verification, failover and backup restore tested for real. A wave is not signed off because it started — it is signed off because it passed.

  6. 06

    Optimise, hand over & support

    Cost and performance tuning against live usage, documentation and runbooks handed to your team, training for whoever operates it, then ongoing support at whatever level you need. Decommissioning the old environment is on the plan, because paying for both is how savings disappear.

Cloud Migration technology stack

Platforms

AWSMicrosoft AzureGoogle CloudIBM Cloud

Migration tooling

AWS DMSAzure MigrateAWS Application Migration ServiceVelostratarsync

Infrastructure as code

TerraformAWS CloudFormationBicepAnsiblePulumi

Runtime

KubernetesDockerAWS ECSAzure App ServiceLinux

Operations & cost

PrometheusGrafanaCloudWatchAzure MonitorAWS Cost Explorer
Why ScaleUp

Why teams choose us for Cloud Migration

We model the run rate, not just the move

You get a projected monthly cost per workload before the programme starts, and a variance report against it afterwards. Migrations that only budget the project are the ones that produce an unpleasant conversation in month four.

Vendor-neutral on platform

We work across AWS, Azure, Google Cloud and IBM Cloud and hold no incentive to steer you to one. The recommendation follows your existing stack, your team's skills, your compliance obligations and the pricing for your specific shape of workload.

Your team can run it afterwards

Infrastructure defined in code in your repositories, documented runbooks, and training sessions with the people who will hold the pager. A migration that leaves you dependent on the migrator has not finished.

We will tell you what not to move

Some workloads are cheaper and safer where they are, and some should be retired rather than migrated. Both recommendations reduce the size of our engagement, and both come up on most assessments we run.

FAQ

Cloud Migration questions, answered

Last updated: August 31, 2026

A single application or a small estate can move in a few weeks. A complex enterprise environment with many interdependent systems takes several months, delivered in waves so value and risk reduction arrive throughout rather than at the end. The assessment gives you a dated wave plan; until that exists, any timeline is a guess.

Start with the assessment, not the migration

Two to four weeks gets you an inventory, a per-workload recommendation, a projected monthly run cost and a wave plan. If it shows the move is not worth making, that is a useful result and a fraction of the cost of finding out afterwards.

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