Service
Cloud Advisory & Architecture
Independent guidance on cloud strategy and the architecture decisions that determine what a system costs to run and how hard it is to change.
What this covers
Before a workload moves, someone has to decide what “good” looks like for it — which platform, which patterns, which trade-offs are acceptable. We work through that decision with the team that will own the result, not from outside it. That usually means a structured review of the current environment, a set of documented options with their trade-offs made explicit, and a recommendation the team can defend to their own stakeholders. Nothing here is meant to be decided once and forgotten — we build in the checkpoints where an architecture decision should be revisited as the workload's traffic, team, or constraints change.
Why it matters
Most cloud cost overruns and most cloud outages trace back to an architecture decision made early and never revisited. Getting that decision right, or knowing when to revisit it, is where a transformation earns or loses its return. A sound decision compounds: it keeps changing the system cheap for years, while a wrong one keeps costing more the longer it goes unaddressed.
A practical next step
Tell us about the workload or environment involved and we'll help clarify a useful starting point.
Talk to us ↗What's included
Capabilities
01
Cloud strategy & target-state design
Define the platform, landing zone, and architecture patterns a workload should run on, matched to its actual traffic, compliance, and team constraints.
02
Landing zone & account structure
Set up the account, network, and identity boundaries an environment needs before workloads arrive, so growth doesn't force a redo.
03
Reference architecture & guardrails
Document the compute, data, and networking patterns teams should reuse, so new services start from something already proven.
04
Architecture review & risk assessment
Assess an existing or proposed architecture against reliability, security, and cost expectations before it's committed to.
05
Multi-cloud & hybrid design
Work out where a hybrid or multi-cloud footprint is a genuine requirement versus unnecessary complexity, then design for it.
06
Technology selection
Evaluate platform and tooling options against the workload's real requirements rather than vendor positioning.
Related services
Cloud Migration & Modernisation
Move workloads off legacy or on-premises infrastructure onto cloud-native foundations, in stages that keep the business running.
Data & AI on Cloud-Native Foundations
Cloud-native data platforms and pipelines that keep data usable as a system grows, with AI applied where it improves a defined workflow.
Cloud-Native Application Engineering
Design and build applications that are meant to run on the cloud, not adapted to it after the fact.