Microsoft Azure Consulting

Azure infrastructure that supports your data and apps — without runaway costs.

From data platform (Azure SQL, Data Factory, Synapse) to app services and identity. We design, deploy, and tune Azure environments that pair cleanly with the rest of your Microsoft stack.

Book an Azure assessment

// what we deliver

The Azure pieces that matter for data & Power Platform.

We focus on the Azure surface area that actually shows up in Power Platform projects: data, identity, integration, and serverless compute. No vendor-imposed bloat, no over-architected reference designs.

  • →Azure SQL Database and Managed Instance design and tuning
  • →Azure Data Factory pipelines for ETL/ELT and orchestration
  • →Synapse Analytics and Microsoft Fabric workspaces
  • →App Service & Azure Functions for custom APIs and serverless workloads
  • →Entra ID (formerly Azure AD) identity and SSO for Power Platform apps
  • →Cost optimization and right-sizing for existing Azure environments

// how it works

Typical engagement

WEEK 1

Assessment

Current state review, workload mapping, and target architecture sketch.

WEEK 2-4

Build

Resource provisioning (IaC where it pays off), data pipelines, identity setup, and integration with Power Platform.

WEEK 5+

Tune

Performance tuning, cost monitoring, and handoff documentation.

// stack

Tools & technologies

Azure SQL Database · Managed Instance · Azure Data Factory · Synapse Analytics · App Service · Azure Functions · Entra ID · Azure DevOps · Microsoft Fabric

// example project

Azure Data Platform for Power BI

Azure SQL + Data Factory · Mid-market client

Designed and deployed an Azure SQL Database with star-schema modeling for executive reporting, fed by Azure Data Factory pipelines pulling from NetSuite, Salesforce, and Dayforce. Power BI on top consumed the warehouse via DirectQuery for near-real-time dashboards, with Entra ID securing row-level access by region.

// faq

Common questions

Azure SQL or Microsoft Fabric — which should I use?

Azure SQL fits transactional workloads and predictable OLAP. Fabric is the better fit when you want unified data + analytics + Power BI on usage-based pricing. We size the call to your scale and existing licensing.

Can you help with cost optimization on an existing Azure setup?

Yes — Azure cost audits are a common engagement. We look at reserved capacity, idle resources, autoscale config, and storage tier. Typical first-pass savings: 20-40%.

Do you use Infrastructure as Code (Bicep / Terraform)?

Yes, where it pays off — anything that will be deployed to multiple environments (dev/test/prod) is codified. Throwaway prototypes stay in the portal.

Ready to start?

30 minutes. No sales pitch. Just an honest conversation about whether we're a fit and how we'd approach your problem.

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