Build what’s nexton Azure.
Azure cloud services for organizations that need more than a migration. We assess cloud readiness, design Azure architectures, migrate and modernize workloads, build cloud-native and data and AI solutions, tighten security and governance, and operate the platform once it is live.
Strategy, migration, modernization, data, AI, security, and the work after cutover.
Azure capability pillars connected through one cloud foundation
Six Azure capability pillars that Vertis Global delivers around one platform:
- Cloud foundation: landing zones, identity, networking, and governance.
- Migration and modernization: moving and reshaping workloads with a plan.
- Data and AI: analytics platforms, machine learning, and intelligent applications.
- Application engineering: cloud-native services, containers, APIs, and serverless.
- Security and governance: identity, policy, threat detection, and compliance.
- DevOps and operations: delivery pipelines, observability, cost control, and managed operations.
The cloud should simplify the business, not complicate it.
Aging infrastructure, costly on-premises environments, fragmented cloud footprints, stalled migrations, and disconnected data platforms leave teams managing risk instead of shipping. Add security and compliance pressure, unpredictable spend, and slow release cycles, and the platform becomes the bottleneck. We design Azure environments around the workloads, controls, and operating discipline the business needs.
Move legacy workloads toward modern Azure architectures without unnecessary disruption.
Connect infrastructure, applications, data, security, and operations through a clearer cloud operating model.
An Azure foundation that supports new applications, data workloads, AI initiatives, and changing business needs.
From the first cloud decision to the next optimization.
Bring us in for a defined workstream, or let us carry the whole transformation.
- 01
Azure strategy & architecture
Cloud readiness assessments, workload discovery with Azure Migrate, target architecture, Azure landing zones, governance and security planning, and a migration roadmap people can execute.
- 02
Cloud migration & modernization
Assessment, dependency mapping, wave planning, and workload migration by rehosting, replatforming, or refactoring, with cutover and rollback agreed in writing before anything moves.
- 03
Application modernization
Azure App Service, Azure Kubernetes Service, Azure Container Apps, Azure Functions, Azure API Management, and cloud-native patterns applied where they pay back, not by default.
- 04
Data & AI on Azure
Microsoft Fabric, Azure Databricks, Azure SQL Database, Azure Cosmos DB, data integration, analytics, Azure AI Search, Azure Machine Learning, and Microsoft Foundry for intelligent applications and retrieval-augmented generation.
- 05
Security, identity & governance
Microsoft Entra ID, access management, Azure Policy, Microsoft Defender for Cloud, Microsoft Sentinel, Azure Key Vault, compliance controls, and a secure foundation that stays secure as the estate grows.
- 06
DevOps, optimization & managed operations
CI/CD with Azure DevOps or GitHub Actions, infrastructure as code with Bicep or Terraform, Azure Monitor observability, Microsoft Cost Management and FinOps, incident response, and continuous improvement.
A clear sequence. No surprises at cutover.
The exact shape depends on your estate. The order does not: establish the facts, make the architecture decisions early, validate hard, then stay accountable after the move.
- 01
Discover
Applications, infrastructure, data, dependencies, business requirements, risks, and cloud readiness.
- 02
Design
Azure architecture, landing zone, security model, governance, networking, data strategy, and migration roadmap.
- 03
Migrate & build
Move workloads, modernize applications, stand up the platform, implement integrations, and build Azure-native capability.
- 04
Prove
Performance, security, resilience, data integrity, monitoring, deployment processes, and operational readiness.
- 05
Operate
Optimization, monitoring, FinOps, security improvements, incident support, managed services, and continuous modernization.
Where the platform earns its keep.
Azure Virtual Machines, virtual networks, storage, containers, and hybrid connectivity built as a foundation the business can scale on, not a collection of subscriptions.
App Service, AKS, Container Apps, Functions, and APIs used to shorten release cycles and retire the applications that hold the business back.
Microsoft Fabric, Azure Databricks, managed databases, data integration, and reporting that give leaders one reliable view instead of competing extracts.
Microsoft Foundry, Azure AI Search, Azure Machine Learning, retrieval-augmented generation, and agent patterns applied to use cases with a measurable business owner.
Identity, access, policy, threat detection, compliance evidence, and governance that keeps pace with change instead of slowing it down.
CI/CD, infrastructure as code, observability, cost control, reliability engineering, and managed operations that keep the platform fast and predictable.
Build it. Run it. Staff it.
Most Azure programs lose momentum between phases: the migration lands, then nobody owns the platform, or the team that built it moves on. We work across all three ways of engaging, so the handoffs are ours to manage.
- Build
Projects
Azure migration, modernization, application engineering, data, and AI projects with fixed scope and a written plan.
How projects run - Run
Managed services
Azure cloud operations, monitoring, security, FinOps, application support, and optimization under a managed services agreement.
Cloud operations and FinOps - Staff
Staffing
Azure architects, cloud engineers, DevOps engineers, data engineers, and developers placed into your team when you need capacity rather than a project.
Staffing options
What changes when Azure is run as a platform.
Workloads moved off aging infrastructure on a plan the business agreed to.
Shorter release cycles on services that scale without a ticket.
Identity, policy, and detection built in from the first subscription.
One view of what runs where, what it costs, and who owns it.
A data foundation that AI initiatives can build on instead of waiting for.
Pipelines, environments, and platform services teams no longer assemble themselves.
Spend that is tagged, forecast, reviewed, and tied to an optimization backlog.
Landing zones and governance that absorb the next workload without a redesign.
Planning your move to Azure, modernizing an existing environment, or looking for help running what you already have?
Tell us where your cloud environment stands today. We will give you a direct view of the likely scope, team, and next decision.