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Cloud adoption as an engineering programme, with a defined end state

From a first production workload to multi-account platforms — assessment, landing zones, migration and governance on AWS and Azure.

Why programmes stall
  • Nobody agreed what the target state is
  • Workloads were moved before a foundation existed
  • No answer when audit asked who has access to what, where the data sits, and how you would leave the provider

Most cloud programmes do not stall on technology.

At whatever scale the business needs

A single production environment built on the platform's prescriptive blueprints, or a multi-account, multi-entity platform designed from the ground up.

Seven stages, in sequence

Business drivers and requirements

Why cloud, and what has to be true for it to succeed: commercial and cost objectives, target operating cost, regulatory and contractual obligations, data residency, availability and recovery targets, timelines, and the decisions that are not negotiable. This is where the shape of the programme is set, and where most of the cost of getting it wrong is incurred.

Assess

Current-state review of infrastructure, applications, governance and access model, performance and capacity baselines, operating model and compliance posture. Output: an application portfolio with a disposition per workload — retain, rehost, replatform, refactor, retire, replace — a dependency map, and the risks that will actually slow you down.

The target platform's own adoption framework

The AWS Cloud Adoption Framework, the Microsoft Cloud Adoption Framework for Azure, the Google Cloud Adoption Framework — so the design follows the specifics and the established practice of that cloud rather than a generic template. We use them the way they were intended: as a completeness check, so nothing structural is skipped.

  • AWS
  • Microsoft Azure
  • Google Cloud

Designed for the constraints at the foundation stage

Cloud adoption in European financial services carries obligations that shape the architecture from day one: DORA, NIS2 and GDPR, EBA outsourcing requirements, data residency, exit and portability strategy, and evidence that will survive an audit. We design for those constraints at the foundation stage, where they are cheap, rather than retrofitting them after migration, where they are not.

Four ways in

Adoption assessment

A short, fixed-scope engagement producing the requirements, the portfolio, the target architecture and the wave plan. Most clients start here.

Foundation and pilot

Landing zone delivered as code, with one workload proven in production.

Migration delivery

Wave-by-wave execution alongside your team, scaled with delivery partners where the volume calls for it.

Architecture advisory

Design authority, review and governance for a programme already in flight — including alongside another delivery partner.

Is an adoption programme worth starting this year?

Send us your current estate and constraints and we will tell you, in one call.

  • Documented business drivers, requirements and constraints
  • Current-state assessment and application portfolio with dispositions
  • Target architecture and cost model
  • Landing zone delivered as infrastructure code
  • Guardrail and policy baseline mapped to your compliance obligations
  • A pilot workload running in production
  • Migration wave plan and runbooks
  • Operational handover and team enablement
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Where to go next

Cloud Adoption on AWS and Azure — OpsHero