Readiness & migration planning
An inventory of your applications, dependencies, and data, with a recommended approach for each, a migration sequence, and a realistic cost model for the target cloud.
Our cloud migration and consulting services help organizations move to AWS, Azure, or Google Cloud and run well once they are there. We plan and migrate workloads in waves, modernize the ones worth modernizing, set up secure and well-governed foundations, and put cost controls in place, so the cloud becomes a dependable platform rather than a bill nobody can explain.

Lift-and-shift migrations look fast on a project plan and expensive on the first invoice. Servers sized for an old data center run around the clock, every team opens its own accounts, nobody can say which resources belong to which product, and security settings depend on who set them up. A year later the cloud costs more than the hardware it replaced and feels harder to control.
Our cloud consultants plan the move and the destination together. Each workload is assessed and migrated in waves, rehosted, re-platformed, or modernized depending on what it is worth. It lands in a governed foundation with identity, networking, security guardrails, and cost tagging already in place, so from the first day you can see what you are paying for and why.
Wave by wave
Migration in planned groups, each with a rollback plan
3 clouds
AWS, Azure, and Google Cloud, chosen on fit
Day one
Cost visibility and budgets from the first migrated workload
Yours
Accounts, code, and runbooks owned by you, not by us

Cloud migration, secure landing zones, and FinOps for AWS, Azure, and Google Cloud, so the cloud becomes a platform, not a runaway bill.
Six services we provide, from a first migration to running a mature multi-account estate. If your main pain is slow releases or Kubernetes, our Cloud & DevOps practice is the better starting point.
An inventory of your applications, dependencies, and data, with a recommended approach for each, a migration sequence, and a realistic cost model for the target cloud.
Servers, databases, and applications moved in planned waves with testing, data sync, and rollback plans, scheduled around your business so downtime is minimal and agreed in advance.
Workloads worth more than a rehost, re-platformed onto managed databases and containers, or rebuilt as serverless, cloud-native services where it pays off.
Multi-account structure, networking, identity, and guardrails defined in Terraform, so teams can create what they need quickly without bypassing security or cost rules.
A clear view of what you spend and why, then the savings: rightsizing, reserved capacity, storage tiers, and switching off what nobody uses, tracked month over month.
Ongoing monitoring, patching, backups, and security reviews for your cloud environment, with agreed response times and a named team that knows your setup.
The first workloads usually move within six to eight weeks. Larger estates migrate in waves over several months, and each wave delivers savings or capability on its own.
2–3 weeks
We inventory applications, dependencies, and current costs, decide the right approach for each workload, and design a target architecture with a realistic cost comparison.
2–4 weeks
Accounts, networks, identity, logging, and security guardrails go in as code, along with cost tagging and budgets, before any workload moves.
Per wave
Workloads move in planned groups with testing, data validation, and cutover windows agreed in advance. Each wave is checked against performance and cost targets before the next begins.
Ongoing
Rightsizing, modernization of the workloads worth it, and regular cost and security reviews, run by your team with our documentation or by us as a managed service.
A cloud bill you can explain line by line, by team and by product
Workloads moved with planned, minimal downtime and a rollback at every step
Security and compliance guardrails applied to every account automatically
Infrastructure your teams can extend quickly without bypassing the rules
The tools we reach for on Cloud Services work, picked for the problem in front of us and for the team who inherits the code.
Multi-cloud when it is warranted, not by default
Landing zones, networking and identity
Durable, queryable, priced sensibly
Cost, secrets and posture under one view
There is no single best cloud; the right one depends on your existing systems, your team's skills, and your workloads. Azure is often the natural fit for organizations built on Microsoft 365 and Active Directory, AWS offers the broadest range of services, and Google Cloud is strong for data and analytics. We compare them against your actual applications and costs during the assessment and recommend on fit, not preference.