We design, run, and support Microsoft Fabric, Azure, and Databricks platforms — from architecture and cost through to the operations that keep them alive.
Two questions, then a straight answer — including when it is not us.
The Challenge
Organisations rely on Azure and Fabric pricing tools for budgets, but the real challenge is translating capacity numbers into architecture decisions, implementation scope, and operational clarity.
Azure and Fabric pricing tools show consumption, but not architecture complexity, governance effort, or operational reality.
Teams often design platforms without knowing the full monthly cost, implementation scope, or support model.
Fabric, Azure, Databricks, Datadog, Fivetran, Purview, and Power BI each solve part of the picture. Labs Virtual connects them.
Sizing & cost
Microsoft's own SKU estimator will size a Fabric capacity from your data volume and workloads, and it does that well. Use it. What it cannot tell you is what the rest of the platform costs — storage, networking, orchestration, observability, governance, and the people keeping it alive.
Straightforward, and Microsoft's tool already does it.
Open the Fabric SKU Estimator ↗Everything around the capacity, plus the running of it. That part is a conversation.
Capabilities
Estimate workload impact across Data Factory, Spark, Warehouse, Power BI, Real-Time Intelligence, and SQL Database in Fabric.
Model storage, compute, networking, monitoring, and data movement costs using real Azure service assumptions.
Turn calculator input into reference architecture patterns, implementation phases, and decision trees.
Assess RBAC, workspace structure, naming conventions, Purview, private endpoints, data ownership, and compliance.
Model Azure Monitor, Log Analytics, Datadog, Dynatrace, alerting, incident handling, and platform support.
Compare and organise Databricks, Fivetran, Datadog, NVIDIA, Notion, Linear, Confluence, and other ecosystem tooling.
Microsoft Support
Labs Virtual acts as one dedicated Microsoft-focused support partner for Azure, Fabric, Power Platform, Microsoft 365, and data-platform operations.
Avoid fragmented support routes and get one accountable partner who understands the full platform context.
Turn Microsoft incidents, Azure issues, and Fabric questions into clear operational next steps.
Support that does not only fix tickets — it improves architecture, governance, cost visibility, and delivery quality.
Blueprints
Capture workload, data volume, vendor, governance, and support assumptions. Translate cost into architecture context — not just capacity numbers.
Translate assumptions into Azure/Fabric reference architecture and platform decisions — ingestion, transformation, governance, serving, and observability defined.
Deliver implementation backlog, cost controls, support model, and phased roadmap — so teams move from blueprint to running platform with confidence.
Packages
From quick clarity to full platform delivery — pick the level of engagement that fits your current stage.
For organisations that need quick clarity.
For teams planning a Fabric or Azure data platform.
For organisations ready to execute.
Ecosystem
Labs Virtual helps organisations understand and structure licensing and platform decisions across the modern data ecosystem.
Insights
Most teams discover their cloud data costs are out of control only after the bill arrives. How to instrument your Fabric and Azure workloads for cost visibility and pipeline health — before it becomes a problem.
Azure OpenAI and LlamaIndex are powerful — but without a governed data layer, RAG pipelines retrieve noise, not insight. The architecture decisions that determine whether AI actually lands.
A practical guide to the six Fabric ISV paths — OneLake APIs, Real-Time Intelligence, Data Factory, Multi-Cloud Shortcuts, Data Sharing, and Database Mirroring — and where Labs Virtual accelerates delivery.
Whether you're battling fragmented data, spiralling cloud costs, or an AI initiative with nowhere to land — start with a conversation. We scope fast and deliver structure.