Cloud infrastructure should be a business enabler. Most of the time it isn't.

Organisations rushed into cloud to reduce cost and increase agility. Many achieved neither. They replicated on-premise complexity in a new location, accumulated shadow IT across multiple accounts, and now face rising bills, architectural debt and vendor dependencies that feel impossible to untangle. A cloud strategy engagement with Node gives you the blueprint to move forward deliberately - with architecture that serves your business, not your cloud provider's revenue targets.

What a cloud strategy engagement delivers

A cloud strategy is not a document. It is a set of decisions - about where workloads run, how they are connected, how they are secured, how they scale, and how they evolve - made deliberately, with full understanding of the trade-offs. We facilitate those decisions, provide the architectural expertise to evaluate options, and produce a roadmap that can be executed incrementally without disrupting what you have today.

Our cloud strategy engagements are structured around your specific situation. Whether you are pre-migration, mid-journey or rearchitecting an environment that grew faster than the original design could support, we start where you are and build forward from there.

Cloud maturity assessment

Before designing a future state, we need an honest picture of the current state. Our cloud maturity assessment covers:

Infrastructure and architecture review - how your current cloud environment is structured, where workloads sit, how they communicate, and what dependencies exist between them. We identify architectural patterns that will constrain your ability to scale or modernise.

Operational practices - how your teams deploy, monitor, respond to incidents and manage change. We assess against cloud operations best practices and identify gaps in observability, automation and runbook coverage.

Security posture - a rapid assessment of identity and access management, network segmentation, data encryption, logging and compliance controls. We identify critical exposures that need immediate remediation and longer-term gaps to address in the roadmap.

Cost structure - an analysis of your current cloud spend, its composition, and where waste and overspend exist. Most organisations have 25-40% addressable waste in their cloud bills. We find it.

Team capability - an honest assessment of your team's current cloud skills, where the gaps are, and what needs to be addressed through hiring, training or managed services to execute the roadmap successfully.

Multi-cloud and hybrid strategy

Single-cloud dependency is a business risk. Pricing changes, service discontinuations, regional outages and regulatory requirements can all make what seemed like a permanent commitment problematic. We design environments for portability from the outset.

Workload placement model - not every workload belongs on every cloud. Some have natural affinity for AWS services, others are better suited to Azure's integration with Microsoft identity and Office 365, others need GCP's data and AI infrastructure. We produce a workload placement model that assigns each category of workload to the platform where it runs best - and ensures the architecture allows movement if that calculus changes.

Multi-cloud networking and identity - operating across multiple cloud providers requires consistent network connectivity, a unified identity model and shared security controls. We design the networking and identity layers that make multi-cloud operationally manageable rather than chaotic.

Hybrid integration - most organisations have on-premise systems that will not move to cloud, either because of regulatory requirements, latency sensitivity or the economics of migration. We design hybrid architectures that integrate cloud and on-premise systems securely and efficiently, without requiring a complete migration before you see value.

AI readiness assessment

AI infrastructure requirements differ substantially from conventional application infrastructure. Data access patterns, compute requirements, model serving latency, and data governance obligations all create constraints that need to be designed into your architecture before you need them - not retrofitted afterwards.

Our AI readiness assessment evaluates your current environment against the requirements for AI workloads: GPU compute access, data pipeline architecture, data governance maturity, model deployment patterns and the security controls needed around AI systems that process sensitive data. We identify what needs to change and incorporate those changes into the architecture blueprint and roadmap.

3-5 year modernisation roadmap

The architecture blueprint defines where you are going. The roadmap defines how you get there.

We structure modernisation roadmaps around business value, technical risk and dependency sequencing. Work that reduces immediate security risk or delivers significant cost savings comes early. Work that depends on foundational changes comes after those foundations are in place. The result is a phased plan where every phase delivers value and no phase requires a big-bang migration.

Phased delivery - we break the journey into 90-day increments with defined outcomes, success criteria and decision points. This allows you to validate the direction, adjust for business changes and demonstrate progress to stakeholders at every stage.

Modular architecture - we design around containers, APIs and portable infrastructure patterns so that individual components can be changed, replaced or moved without rebuilding the whole system. Your technology decisions today do not lock you in permanently.

Build vs. buy decisions - at every layer of the stack, we evaluate whether a managed service, an open source solution or custom development is the right answer. The goal is the right solution for your context, not a preference for any particular approach.

What you receive

A cloud strategy engagement with Node produces:

A current-state architecture assessment with risk and cost findings
A future-state architecture design with deployment patterns and technology choices
A workload placement model across cloud providers
A phased 3-5 year modernisation roadmap with effort estimates and sequencing
An AI readiness report with specific recommendations
A team capability assessment and development plan

These artefacts are designed to be used - as the basis for procurement decisions, internal business cases, board presentations and day-to-day engineering guidance.

Why vendor-neutral matters - cloud providers have professional services arms that will happily produce architecture blueprints for you. Those blueprints will, by design, maximise your consumption of that provider's services. Our incentive is different: we make our money from building and operating the platforms your business needs, not from maximising your cloud bill. That means our architecture recommendations are based on what is right for your workloads - even when the right answer is a competitor's service, an open source solution or staying on-premise.