Cloud Services.
Migrations, FinOps and managed services for data workloads — without disrupting the business that depends on them.
Cloud done with financial discipline.
Cloud bills that grow 40% a year are a design failure, not a volume one. We bring FinOps, architecture and engineering together so spend stays proportional to value.
We're partner-certified with AWS, Azure and GCP, and specialise in data-platform workloads — Databricks, Snowflake, Fabric, Redshift, Synapse, BigQuery.
What we help with.
Migration & modernisation
Lift-shift-optimise, replatform or rebuild — whichever moves the right risk/cost/speed dial.
FinOps & cost optimisation
Baseline, quick wins, architectural optimisation, chargeback, forecasting.
Hybrid & multi-cloud
Where regulation, latency or commercial leverage demand it. Not by default.
Managed services
24/7 or business-hours cover for your data platform — monitoring, incident response, patching.
Well-Architected reviews
Formal reviews aligned to AWS WAF / Azure WAF pillars.
Landing zones & governance
Compliant foundation — network, identity, logging, guardrails — for everything that comes next.
Measured, not rushed.
Baseline
Inventory, cost baseline, risk register, migration wave planning.
Foundation
Landing zone, identity, security, observability.
Migrate
Wave-by-wave with parallel-run and cut-over playbooks.
Operate & optimise
FinOps cadence, managed services, continuous improvement.
- ✓Target architectureDiagrams, rationale, cost model.
- ✓Migration planWaves, dependencies, rollback, comms.
- ✓Landing zoneCompliant, auditable, repeatable.
- ✓FinOps dashboardSpend by team, product, environment — with forecasts.
- ✓RunbooksOps, incident response, DR.
- ✓Post-migration reviewWhat worked, what to improve, residual risk.
Tools & frameworks we use.
A real engagement.
Retail group — Azure data estate: 37% annual saving.
Four-month FinOps and architecture engagement across Synapse, ADF, Fabric and AKS. Commitment-based discounts, right-sizing, lifecycle policies, cluster tuning — 37% annual saving with zero performance regression.
Read full case study