Azure Landing Zones
Enterprise-Scale Landing Zone deployment via Microsoft's Cloud Adoption Framework: subscription strategy, network topology, identity, governance, and security baselines.
Microsoft Azure is the cloud platform underpinning Dynamics 365, Microsoft 365, and a vast catalog of standalone services for compute, storage, data, AI, and integration.
Microsoft Azure is the cloud platform underpinning Dynamics 365, Microsoft 365, and a vast catalog of standalone services for compute, storage, data, AI, and integration. We're an Azure implementation partner focused on the layer most projects underinvest in: landing zones, identity, integration, and FinOps. Whether you're migrating workloads off-prem, modernizing applications around Azure App Service and Azure SQL, or building integrations to extend Dynamics 365 with custom logic, we deploy Azure with the governance and architecture decisions that prevent cost runaway and security drift.
7 modules in a typical deployment.
Enterprise-Scale Landing Zone deployment via Microsoft's Cloud Adoption Framework: subscription strategy, network topology, identity, governance, and security baselines.
Lift-and-shift via Azure Migrate, replatform to Azure SQL Managed Instance and App Service, and refactor to containers (AKS) or serverless (Functions) where it pays back.
Hybrid identity from on-prem AD to Entra ID, conditional access, privileged identity management, and single sign-on across Microsoft 365, Dynamics 365, and SaaS.
Logic Apps, Service Bus, Event Grid, API Management, and Azure Functions to extend Dynamics 365 and integrate to SAP, Oracle, Workday, ServiceNow, and custom systems.
Azure Data Lake, Synapse, Microsoft Fabric, and Azure SQL for analytics workloads. Native export from Dynamics 365 to Data Lake for warehouse-grade reporting.
Azure OpenAI Service, Azure AI Search (formerly Cognitive Search), Document Intelligence, and Azure Machine Learning for production AI workloads with enterprise data residency.
Cost Management policies, tagging strategy, budgets and alerts, reservations and savings plans, and right-sizing reviews. Savings depend on workload shape, commitments, utilization, and the baseline being compared.
Honest comparisons we walk every prospect through before quoting. If you’re on the wrong side of the line, we’ll tell you.
AWS leads on breadth of services, third-party ecosystem maturity, and is the default for cloud-native startups. Azure wins for Microsoft-heavy enterprises (Active Directory, SQL Server, .NET, Microsoft 365, Dynamics 365), hybrid scenarios via Azure Arc, and licensing economics for Windows Server and SQL Server workloads via Azure Hybrid Benefit. The right answer is rarely 'all in on one' — most enterprises run multi-cloud and pick by workload.
Google Cloud excels in data, AI/ML, and Kubernetes-native workloads. Azure wins for Microsoft estate integration, regulatory and government cloud breadth, and enterprise sales/support relationships. Pick GCP for data and AI greenfield work, Azure for everything tied to Windows, Microsoft 365, or Dynamics.
Cloud is rarely cheaper than well-run on-prem at steady state for predictable, high-utilization workloads. Cloud wins on agility, geographic reach, recovery, and access to managed services (AI, databases, AKS) you can't economically run yourself. Don't migrate for cost alone — migrate for capability, then optimize cost via FinOps.
Azure pricing is consumption-based and varies by service, region, architecture, usage, support plan, and commitment. We estimate steady-state consumption and implementation from the workload inventory and target design, then test reservation or savings-plan options against that baseline rather than publishing a generic migration band.
Source: Microsoft Azure pricingEstimate your numbers →Assessment using Microsoft's Cloud Adoption Framework: workload inventory, dependency mapping, cost modeling, and a wave plan sequenced by complexity, business value, and decommissioning opportunities.
Deploy the Enterprise-Scale Landing Zone — management groups, subscriptions, network topology, identity, policy, and security — before production workloads move. This creates an explicit governance baseline before migration.
Wave-based migration with Azure Migrate for VMs, Database Migration Service for SQL, and replatform-or-refactor decisions made workload by workload. The target service is selected from requirements, lifecycle, cost, and operational ownership rather than a generic modernization timeline.
Post-migration FinOps cadence (monthly cost reviews with right-sizing recommendations), security baselines via Defender for Cloud, and a managed service for patching, backup, and incident response if you don't have the in-house operations team.
If yours isn’t here, ask in the consultation. We’ve probably answered it five times this month.
Two-week paid assessment. Fixed-fee proposal at the end — even if you don’t pick us.
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