Cloud transformation that changes how your systems run, not just where they are hosted

Cloud migration moves workloads from one place to another, while cloud transformation also changes how they are built, deployed, scaled and paid for once they arrive. A migration can be finished when traffic switches over. A transformation is finished when infrastructure is defined in code, releases run through pipelines, capacity follows demand and each team can see what its services cost. Migration is usually one stream of work inside a transformation, alongside modernisation, automation and changes to how the platform is operated.

Choose on commercial and organisational fit rather than feature lists, because all three can run typical business workloads. The deciding factors are usually existing agreements and licences, such as Microsoft licences that may be reusable on Azure, the skills your engineers and local hiring market already have, regions available where your data must stay, and support from the vendors of packaged software you run. We cost your real workloads on the shortlisted providers and give you a written comparison of running cost, migration effort and risk.

A landing zone is the prepared foundation every workload moves into: account or subscription structure, identity and access, networking, logging, security guardrails and billing tags. It is built first because each workload inherits those decisions, and changing them after dozens of services depend on them is slow and risky. We define the landing zone in Terraform, review it with your team and prove it with a low-risk workload before the main migration waves begin.

We decide per application by weighing its business value, how often it changes and what currently stops it scaling, rather than applying one rule to the whole estate. Stable software that nobody is developing is usually rehosted or retired. Applications that mainly need a managed database or container runtime are replatformed. Refactoring is kept for products that change often and are held back by single-server design. Packaged software follows its vendor's supported options. Each decision is recorded with its reasoning so it can be revisited in a later wave.

FinOps is the practice of making cloud spending visible, owned and regularly optimised, and it belongs in a transformation from the start rather than after the first surprising bill. In practice that means tagging every resource by product and environment, setting budgets with alerts, shutting down non-production outside working hours, right-sizing from real usage and committing to reserved capacity only once demand is stable. We set these controls up in code and hand over a monthly review routine your team can run.

Yes, and in a phased transformation some systems usually stay on-premises for a while, or permanently. The main risk is splitting components that talk to each other constantly, such as an application and its database, across a VPN link where every query adds latency. We map those dependencies and move tightly coupled components in the same wave. The two sides are joined by site-to-site VPN or private connectivity, with one identity provider for both and monitoring on the link itself.

We deploy workloads, backups, logs and disaster recovery copies only to cloud regions that satisfy your residency obligations, and we enforce that choice with policy rather than convention. Guardrails can block resources from being created in unapproved regions, and storage replication is configured to stay within the permitted boundary. For UK workloads we design with UK GDPR in mind. For workloads in Saudi Arabia and elsewhere we follow the requirements set by your legal or compliance advisers, and confirm provider region availability during design.

We load test the new platform before go-live and watch what fails first, which is often not the web tier. Common culprits are database connection limits reached as application instances multiply, scaling rules that react too slowly to a sudden spike, and caches that start empty after each deployment. We tune those from the test results, check that capacity scales back in afterwards so spend falls with traffic, and add saturation alerts so limits can be raised before users notice.

We apply preventive guardrails at the organisation level, so risky resources are blocked when someone tries to create them rather than found in a later review. On AWS that means service control policies, on Azure it means Azure Policy, and on Google Cloud organisation policies. Typical rules deny public storage buckets, unencrypted disks and resources in unapproved regions. Terraform changes are also checked in the pull request, and anything created outside the pipeline is reported through central audit logging.

The length of a cloud transformation is set mainly by how many workloads move, how much refactoring each needs, how much data must be transferred and how quickly your organisation approves cutovers. Because we work in waves, value arrives before the programme ends. For a small, well-defined estate, the landing zone and a first low-risk workload can typically be in production a few weeks after discovery. Larger estates continue wave by wave, with a working environment or migrated workload to review every one to two weeks.

The cost is driven by how many workloads move, how much modernisation each one needs, data transfer effort and any compliance requirements you must work within. After a short discovery you receive a fixed quote for the landing zone and first wave, and later waves are quoted once their scope is clear. Separately, we estimate the monthly running cost of the target design, including reserved capacity and non-production schedules, so you can compare it with what you pay for hosting today.

Your organisation does, under an operating model we agree in writing before handover. It names who owns each account and budget, who approves new resources, who patches and upgrades managed services and who is on call. Your engineers review our pull requests from the start, pair with us on middle waves and lead the final ones, so they have changed the platform before they own it. Handover adds architecture diagrams and incident runbooks, and ongoing operations support from us is available if you want it.