Microsoft Azure

DataGnu / Cloud / Azure

Azure migration, modernization, AI, data and security.

Landing zones, AKS, Fabric, Azure OpenAI and Defender. We design, migrate and operate.

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Services

Professional and managed services

Each discipline can be a scoped project, an ongoing managed service, or a project that becomes one.

01

Migration

Discovery through to production, inside an enterprise-scale architecture.

Professional services
  • Estate discovery and dependency analysis with Azure Migrate
  • Business case and TCO modelling, including hybrid benefit
  • Enterprise-scale landing zone with management groups and Azure Policy
  • Server and database migration with Azure Site Recovery and Azure DMS
  • Workload disposition and wave planning
  • Cutover rehearsal, execution and rollback
Managed services
  • Landing zone, policy and governance management
  • Cost management, reservations and Azure Hybrid Benefit optimisation
  • Backup, patching and Azure Site Recovery operations
  • Architecture review against the Well-Architected Framework
02

Modernization

Off virtual machines and onto services that cost less and change faster.

Professional services
  • Containerisation onto Azure Kubernetes Service and Container Apps
  • Serverless and event-driven design with Functions and Event Grid
  • Database modernization to Azure SQL and Cosmos DB
  • Integration modernization with Logic Apps and API Management
  • CI/CD with Azure DevOps or GitHub Actions, plus Bicep or Terraform
Managed services
  • AKS cluster lifecycle, upgrades and capacity management
  • Platform engineering and developer self-service
  • Release engineering and deployment support
  • SRE practice, SLOs and incident response
03

Artificial intelligence

Azure OpenAI and AI Foundry, past the pilot and into daily workflows.

Professional services
  • Generative AI applications on Azure OpenAI and Azure AI Foundry
  • Retrieval-augmented generation with Azure AI Search
  • Copilot and agent integration into existing line-of-business systems
  • Document intelligence and extraction pipelines
  • Machine learning on Azure Machine Learning
  • Evaluation, content safety and responsible AI controls
Managed services
  • Token consumption monitoring and cost optimisation
  • Model and deployment version lifecycle management
  • Output quality monitoring and drift detection
  • Search index and knowledge base curation
04

Data & analytics

Scattered reporting consolidated into a governed platform, increasingly on Fabric.

Professional services
  • Lakehouse and warehouse design on Microsoft Fabric
  • Azure Synapse and Azure Databricks platform build
  • Ingestion and orchestration with Azure Data Factory
  • Streaming with Event Hubs and Stream Analytics
  • Governance and lineage with Microsoft Purview
  • Semantic models and reporting in Power BI
Managed services
  • Pipeline monitoring, SLAs and failure remediation
  • Data quality and reconciliation controls
  • Capacity, performance and cost tuning
  • Purview governance and access review operations
05

Security

Identity-first security, because on Azure identity is the perimeter that actually matters.

Professional services
  • Security assessment and Microsoft Secure Score remediation
  • Microsoft Entra ID design, conditional access and PIM
  • Zero-trust network architecture and segmentation
  • Microsoft Defender for Cloud deployment and hardening
  • Microsoft Sentinel SIEM design, onboarding and detection rules
  • Key and secret management with Azure Key Vault
Managed services
  • Managed detection and response on Microsoft Sentinel
  • Continuous compliance monitoring and reporting
  • Vulnerability and patch management
  • Privileged access review and access certification

Delivered work rather than a partner tier. Our AWS Select Tier Partner status is separate.

Getting started

How we start

One size fits all rarely works. We map the estate, then match each workload to a strategy.

01

Assess

The existing estate — workloads, dependencies, costs, risks and the constraints nobody wrote down.

02

Plan

A target architecture, a disposition per workload, and a sequence that delivers value before the end.

03

Execute

Landing zone, migration waves and modernization work, rehearsed before it is done for real.

04

Operate

A managed service with agreed response targets, and continuous cost and security review.

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