Integration with the Microsoft environment
Microsoft 365, Entra ID (formerly Azure Active Directory), Windows Server and Dynamics 365 connect naturally to applications hosted on Azure.
Expertise · Microsoft Azure
Microsoft Azure Consulting: Cloud Platforms Integrated with Your IT
Microsoft Azure makes it possible to build a cloud platform integrated with your organization’s applications, identities and practices. Our teams design, migrate and operate these environments for the products they build or take over, including AI services built on Azure OpenAI.
Understanding the technology
Microsoft Azure in your project.
Microsoft Azure provides cloud services to run applications, store data and integrate identities. The architecture must specify how these services serve the product and how they will be operated. We handle environments, access and deployments within your organization’s constraints.
The benefits for your product
Why choose Microsoft Azure?
Microsoft Azure brings concrete benefits for designing, operating and evolving a cloud platform, especially in an organization that already uses Microsoft tools.
Hybrid cloud
Azure Arc, VPN Gateway and ExpressRoute connect on-premises systems to cloud services.
Compliance and data residency
Regions in Europe and the provider’s compliance programs make it easier to meet regulatory requirements, within a shared responsibility model.
Managed AI services
Azure OpenAI, Azure AI Services and Azure Machine Learning provide access to models within the company’s contractual and security perimeter.
Developer tooling
Visual Studio, Azure DevOps or GitHub, CLI and services optimized for .NET.
What we cover
The work we take on.
Architecture
Choose services based on how the application and its data work.
Identities
Define access and exchanges between users, applications and services.
Operations
Organize deployments, backups and cost tracking.
Migration
Assess the existing setup, plan the phases and carry out the cutover from on-premises hosting or another cloud.
Our Azure expertise
The Azure ecosystem we master.
Compute
Windows and Linux virtual machines and scale sets, Azure Functions for serverless, App Service, Azure Kubernetes Service.
Data & storage
Azure SQL Database, Cosmos DB, Blob Storage with storage tiers and lifecycle management.
Identity & integration
Entra ID (SSO, MFA, conditional access), integration with Teams, SharePoint and Power Platform, hybrid connectivity.
DevOps & monitoring
Azure DevOps (Boards, Repos, Pipelines), Azure Monitor and Application Insights, Terraform or Bicep for infrastructure as code.
Azure and AI
AI services in production on Azure.
For an organization already on Azure, Azure OpenAI makes it possible to use models within its own environment: Entra ID identities, private networking, logs and consumption tracking. The work then consists of building the service around the model — access to authorized documents, evaluations, monitoring and cost control.
Our teams build these services and take over prototypes to bring them to production. See AI POC takeover and our AI solutions for business.
In the field
From technology to real-world use.
For an application connected to a company’s information system, we study user identities, service access and the data exchanged. Environments are separated and their configurations documented. Delivery includes health checks, planned backups and what is needed to diagnose incidents.
The choices that matter
The choices to examine before building.
The choice of a service depends on processing patterns, expected availability and operational skills. We review configuration limits and the cost of the resources actually used. Integration with an existing Microsoft environment does not remove the need to check permissions and recovery scenarios.
From work to deliverables
Delivered work your team can take over.
The scope of the engagement specifies the components to build or take over and the acceptance criteria. We prepare what is needed to understand the changes, verify them and continue the work. Migration or platform setup as a fixed-price project, long-term operations within a dedicated team, or a targeted engagement on compliance or costs.
- Versioned configurations
- Documented delivery pipeline
- Monitoring and operating procedures
Frequently asked questions
Microsoft Azure: your questions.
What is Microsoft Azure and why use it?
Azure is Microsoft’s cloud platform. It offers compute, storage, databases, identity and AI services, and integrates naturally with the Microsoft tools many organizations already use.
Is Azure a good fit for a company already using Microsoft?
Yes, that is its main strength. Entra ID, Microsoft 365, Windows Server and tools such as Visual Studio or PowerShell make it easier to migrate and operate an existing Microsoft estate.
When should you choose Azure over AWS or Google Cloud?
Azure is often relevant for a Microsoft environment, hybrid scenarios or Windows workloads. AWS and Google Cloud cover comparable needs; the choice depends on the existing setup, the services required and the team’s skills.
How do you migrate to Azure from on-premises infrastructure?
Assessment with Azure Migrate, replication with Azure Site Recovery, transfer of large data volumes, then a lift-and-shift migration or application modernization depending on the case. The cutover is planned in phases, with a rollback plan.
Does Azure make it possible to meet European requirements?
Azure offers data centers in Europe and compliance programs (GDPR, ISO 27001, SOC 2). Actual compliance also depends on configuration and usage, which remain the responsibility of the client and its service provider.
What are the essential Azure services?
Virtual machines and App Service for compute, Azure SQL and Storage for data, Functions for serverless, Entra ID for identity, Azure DevOps for delivery and Azure Monitor for monitoring.
How do you optimize Azure costs?
Azure Cost Management and Azure Advisor for tracking, reserved instances, Azure Hybrid Benefit, Spot instances, sizing based on measurements, autoscaling and appropriate storage tiers.
Can you take an Azure OpenAI service to production?
Yes. We build the service around the model — identities, access to authorized data, evaluations, logs, cost monitoring — and can take over an existing prototype to make it production-ready.
Let’s talk about your technical context.
Tell us about the application, the issue to address and the known constraints. We will review the dependencies and the initial scope of work with your team.