Cloud Foundations for
Modern Data Platforms.
We design and migrate secure Azure and AWS environments built for data - landing zones, networking, security and cost controls that your modernised data platform, Power BI and AI workloads can run on.
Our Cloud
Capabilities.
Cloud Data Migration
Move databases, warehouses and ETL workloads to Azure and AWS - rehost, re-platform or re-architect, chosen per workload rather than by default.
Data Platform Landing Zones
Well-architected Azure and AWS foundations - identity, networking, storage and environments - designed for Databricks, Snowflake, Synapse and Fabric.
Security & Compliance
Identity and access, private networking, encryption and audit controls aligned to Australian privacy obligations and your own policies.
Cloud Cost Optimisation
Right-sizing, reserved capacity, workload scheduling and cost visibility - so cloud spend tracks the value it delivers.
Infrastructure as Code & DevOps
Terraform, Bicep and CI/CD pipelines that make data platform environments repeatable, reviewable and quick to change.
Monitoring & Support
Monitoring, alerting and ongoing support for your cloud data platform after go-live, so pipelines and reports keep running.
A Cloud Platform Is Only Half the Transformation
Many organisations move applications to the cloud and leave the data platform behind - or lift it across unchanged, so it becomes legacy architecture running in the cloud. Costs rise and the value never arrives. We design cloud environments around the data workloads that will live on them: right-sized from the start, secure by design, and ready for the modern data platform, reporting and AI you plan to run.
How We Modernise Data →Our Delivery
Process.
A proven, collaborative approach that keeps you informed and in control at every stage.
Assess
Workload and data inventory, dependencies, running costs and a migration priority for each system.
Plan
Target architecture, landing zone design, security baseline and a phased migration plan.
Migrate
Phased migration with automated tooling, parallel running and reconciliation at each stage.
Optimise
Cost and performance tuning, monitoring and ongoing support after go-live.