Cloud done with discipline. Not just lift-and-shift.
TL;DR
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.
Built for organizations that...
- Organizations migrating workloads from on-premises data centers or other clouds
- Dynamics 365 customers extending the platform via Azure Functions, Service Bus, or Logic Apps
- Mid-market IT teams modernizing legacy .NET, SQL Server, or Windows applications
- Companies needing hybrid identity (Azure AD, Entra ID) across SaaS and on-prem systems
- Finance and IT leaders trying to bring discipline to existing Azure spend
What Azure actually does.
Azure Landing Zones
Enterprise-Scale Landing Zone deployment via Microsoft's Cloud Adoption Framework: subscription strategy, network topology, identity, governance, and security baselines.
Migration & modernization
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.
Identity (Microsoft Entra)
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.
Integration platform
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.
Data & analytics
Azure Data Lake, Synapse, Microsoft Fabric, and Azure SQL for analytics workloads. Native export from Dynamics 365 to Data Lake for warehouse-grade reporting.
AI & machine learning
Azure OpenAI Service, Azure AI Search (formerly Cognitive Search), Document Intelligence, and Azure Machine Learning for production AI workloads with enterprise data residency.
FinOps & governance
Cost Management policies, tagging strategy, budgets and alerts, reserved instances and savings plans, and right-sizing reviews. Most organizations overspend by 25–40% on Azure without active FinOps.
What it costs (the honest version).
Azure pricing is consumption-based across hundreds of services with significant variance. A useful planning band: a typical mid-market migration of 50–150 VMs and 5–20 SQL workloads runs $15K–$50K per month in Azure consumption post-migration, before reservations and savings plans (which often cut 30–60%). Implementation services for a properly scoped landing zone, migration wave, and FinOps standup typically run $80K–$400K. We're transparent about expected steady-state Azure cost during scoping — surprise cloud bills are a partner failure, not a Microsoft failure.
Estimate your numbersAzure vs. the alternatives.
vs.
Azure vs. AWS
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.
vs.
Azure vs. Google Cloud
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.
vs.
Azure vs. on-prem / colocation
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.
Where Azure fits best.
Manufacturing
Production planning, quality control, shop floor automation, MES integration.
PSAProfessional Services
Project accounting, time & expense, resource scheduling.
HCRHealthcare
HIPAA-compliant operations, patient management, compliance workflows.
DSTDistribution & Wholesale
Warehouse management, 3PL integration, demand forecasting.
RTLRetail & E-Commerce
Unified POS, real-time inventory, omnichannel order management.
Assess
Six-week assessment using Microsoft's Cloud Adoption Framework: workload inventory, dependency mapping, cost modeling, and a wave plan that sequences migration by complexity, business value, and decommissioning savings.
Foundation
Deploy the Enterprise-Scale Landing Zone — management groups, subscriptions, network topology, identity, policy, and security — before a single production workload moves. Skipping this is the most common cause of multi-million-dollar remediation projects two years in.
Migrate & modernize
Wave-based migration with Azure Migrate for VMs, Database Migration Service for SQL, and replatform/refactor decisions made workload by workload. We resist the urge to refactor everything — many workloads are fine on IaaS for a 3–5 year horizon.
Operate
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.
Azure in the wild.
SmartFlower Solar
Replaced disconnected spreadsheets and entry-level accounting with Dynamics 365 Business Central, giving SmartFlower a s...
Distribution & Field ServicesBigfoot Crane Company
Migrated Bigfoot Crane from siloed rental, service, and accounting systems onto Dynamics 365 — connecting equipment avai...
Healthcare & Life SciencesKowa Pharmaceuticals
Implemented Dynamics 365 to unify operations, finance, and reporting for Kowa Pharmaceuticals — built around the audit, ...
Azure questions, answered.
Do we need an Azure partner if Microsoft sells direct?
Microsoft sells the platform; partners deliver the outcome. The platform is brilliant; the gap between 'we have an Azure subscription' and 'our Azure estate is secure, governed, and cost-efficient' is enormous. A good partner brings landing zone patterns, migration tooling, FinOps discipline, and Microsoft escalation paths you don't have direct. We've seen organizations spend twice their projected Azure budget in year one because nobody set tagging, budgets, and right-sizing cadence at the start. That's the partner gap, and it's not free to close after the fact.
How long does an Azure migration actually take?
Foundation (landing zone, identity, network) is 6–12 weeks. Workload migration runs in waves of 4–12 weeks each depending on complexity. A mid-market organization with 100–200 servers and a few dozen applications typically completes migration in 9–18 months. Modernization (replatforming SQL, refactoring apps to PaaS or containers) extends well beyond that and is usually best treated as a separate, ongoing program. Anyone promising a 'big bang' migration of a complex enterprise estate in three months is selling lift-and-shift without modernization, with all the cost and complexity that implies.
How do we keep Azure costs from spiraling?
Three disciplines, applied consistently. One: tagging and chargeback so cost has an owner — untagged spend is unowned spend. Two: reserved instances and savings plans for steady-state workloads (30–70% savings vs. pay-as-you-go). Three: a monthly right-sizing cadence using Azure Advisor and Cost Management — VMs, SQL, and storage are commonly over-provisioned by 30–50%. Most organizations we audit are spending 25–40% more than they need to on Azure simply because nobody owns FinOps. Closing that gap is a fast payback on partner cost.
How does Azure integrate with Dynamics 365?
Tightly, in three main patterns. One: Power Platform connectors and Azure API Management for synchronous, request-response integrations to SAP, Oracle, Workday, etc. Two: Azure Service Bus and Event Grid for asynchronous, event-driven integration — Dynamics emits Business Events, downstream systems consume them. Three: Azure Data Lake / Synapse / Microsoft Fabric for analytics — Dynamics exports to Data Lake natively, then is shaped for warehouse-grade reporting. We design the integration layer in Azure once, then plug Dynamics, Salesforce, ERP, and other systems into it rather than building point-to-point integrations that calcify.
What about security and compliance — HIPAA, PCI, SOC 2, FedRAMP?
Azure is certified across most major frameworks (HIPAA via BAA, PCI DSS, SOC 1/2/3, ISO 27001, FedRAMP High via Azure Government). Compliance is a shared responsibility — Microsoft secures the platform; you configure tenant policy, identity, network controls, and data protection appropriate to the framework. We deploy Defender for Cloud, Microsoft Sentinel (SIEM/SOAR), and Microsoft Purview (data governance) as the default security baseline. Healthcare and government workloads we deploy in regions and tiers (Azure Government, Azure Healthcare) appropriate to the regulatory profile.
Should we run our Dynamics 365 environment in our own Azure tenant?
Dynamics 365 itself runs in Microsoft-managed Azure infrastructure — you don't deploy it into your own subscription. What you deploy in your Azure tenant is the surrounding ecosystem: integration layer (Logic Apps, Service Bus, Functions), analytics (Data Lake, Synapse, Fabric), custom apps (App Service, AKS), and identity (Entra ID). The Dynamics tenant connects to your Azure tenant via standard authentication and APIs. This split is intentional: Microsoft operates the SaaS, you own the surrounding cloud estate. We design both halves so they're cleanly separated and properly governed.
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