Cloud & Data
Cloud architecture, migration and data engineering for enterprise and industrial estates — workloads that cannot tolerate casual migration.
- ISO 9001:2015
- IEC 62443-3-3 (zones & conduits)
- Well-Architected frameworks
Cloud and data engineering grounded in operational reality: estates with OT boundaries, data with export-control and safety implications, and workloads where a failed cutover stops production. We design the architecture, run the migration and build the data platforms — on AWS and Azure — with rollback demonstrated, not assumed.
What this service covers
Cloud architecture & migration
Landing zones, network segmentation respecting IT/OT boundaries, and migration of engineering and enterprise workloads with rollback plans — on AWS and Azure. Lift-and-shift where it is honest, re-architecture where it pays back.
Data engineering & analytics
Pipelines from operational sources — fleet telemetry, test benches, transaction systems — into governed platforms; data models that survive contact with real data; and analytics that operations and engineering teams actually use.
Industrial data platforms
Historian integration, time-series architectures, and the OT-to-cloud data path designed with the same zone-and-conduit discipline as our IEC 62443 work — telemetry out, no uncontrolled path back in.
FinOps & run-cost honesty
Cost architecture from day one: workload right-sizing, commitment planning and monthly engineering-led cost reviews — because a migration that doubles run-cost is a failure regardless of how smoothly it cut over.
How a cloud engagement runs
The numbering below maps to actual engagement stages — each stage has an entry criterion, a deliverable and a decision point.
- Stage 01
Assessment & target architecture
Estate assessment, dependency mapping and a target architecture with a costed migration sequence — including which workloads should not move.
- Stage 02
Foundation & first workloads
Landing zone, identity, network segmentation and guardrails established; first workload migrated as the pattern-setter with rollback demonstrated, not assumed.
- Stage 03
Migration & data platform build
Wave-based migration and pipeline construction with cutover rehearsals, reconciliation checks and hypercare.
- Stage 04
Operate & optimise
Cost and performance optimisation with a monthly engineering-led review — run by the team that built the estate, not a separate managed-service silo.
What you walk away with
- A cloud estate with documented architecture, guardrails and honest run-cost projections
- Data pipelines with defined ownership, quality checks and OT-safe ingestion paths
- Demonstrated rollback and reconciliation evidence for every migrated workload
- A run-cost baseline and optimisation cadence your CFO can hold you to
Discuss a cloud & data engagement
Tell us where you are — a tender requirement, a gap assessment finding, a product that needs building — and we'll respond with a concrete view on scope, approach and effort.