Technology
Microsoft Azure Development & Consulting Services
Azure architecture, App Service, AKS, Functions, and Azure OpenAI — enterprise-grade builds for Microsoft-aligned organizations.
What we build with Microsoft Azure
- Azure landing zones with Management Groups, policies, and RBAC
- AKS, App Service, Container Apps, and Functions
- Azure OpenAI integration for enterprise AI workloads
- Bicep, Terraform, or ARM templates for IaC
- Azure DevOps and GitHub Actions for CI/CD
- Compliance: Azure Policy, Defender for Cloud, and Microsoft Sentinel
Why DiveScale
Built by engineers who ship Microsoft Azure in production
Azure is the right call when your organization already runs on the Microsoft stack — Entra ID for identity, Office 365 for productivity, Power Platform for low-code. DiveScale ships Azure workloads that integrate cleanly with the broader Microsoft ecosystem.
We design Azure landing zones with Management Groups, policies, and RBAC from day one, so governance and cost controls are not retrofitted. Bicep or Terraform for IaC; Azure DevOps or GitHub Actions for delivery — chosen per organization preference.
Azure OpenAI Service is increasingly the default for enterprise AI on Azure — same models as OpenAI, but inside your tenant with VNet integration and content filtering. We deploy production Azure OpenAI integrations end to end.
Microsoft Azure use cases we deliver
How we deliver
Our Microsoft Azure delivery process
- 01
Landing zone
Management Groups, policies, RBAC, Log Analytics, and the foundational subscriptions designed before any workload moves.
- 02
IaC & pipelines
Bicep, Terraform, or ARM templates with Azure DevOps or GitHub Actions pipelines.
- 03
Migrate or build
Workloads migrated or built incrementally — App Service, AKS, Functions, or Container Apps based on fit.
- 04
Operate & optimize
Cost reviews, Defender baselines, capacity planning, and ongoing architecture check-ins.
Related technologies
AWS
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
Learn moreGoogle Cloud
GCP architecture, GKE, Cloud Run, BigQuery, and Vertex AI — production engineering for organizations leveraging Google’s data and AI strengths.
Learn moreKubernetes
Production Kubernetes engineering — cluster design, GitOps, observability, CIS hardening, multi-tenancy, internal developer platforms, and the day-2 operations the demos skip.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreMicrosoft Azure — Frequently Asked Questions
Azure wins when your identity is already Entra ID, you use Office 365 heavily, or your procurement has Microsoft commitments. AWS often wins on pure breadth of services. We help teams pick honestly — not by vendor allegiance.
