Enterprise Azure Landing Zone & Banking Platform

Context

I built this project to demonstrate how I would take an enterprise Azure platform from architectural intent through implementation and operations. The scenario called for a governed foundation that could support banking application, integration, data, and AI workloads without weakening security or making every workload dependent on the platform team.

The goal was broader than producing a diagram or a successful Terraform run. I wanted to prove that the design could be deployed, operated, recovered, and deliberately removed while preserving clear ownership and an evidence trail.

Architecture

The platform followed Microsoft Cloud Adoption Framework principles and separated shared platform responsibilities from workload responsibilities.

• Governance and identity: A management-group and subscription structure established policy inheritance, access boundaries, and clear ownership across the estate.
• Connectivity: A dual-region hub-and-spoke design centralized routing, inspection, private DNS, and shared network services while keeping workload environments isolated.
• Workload landing zones: Separate corporate, online, application, and data landing zones inherited platform guardrails but retained independent deployment lifecycles.
• Security and operations: Microsoft Sentinel, Defender for Cloud, Azure Monitor, policy, budgets, and operational runbooks were treated as platform capabilities rather than afterthoughts.
• Application and data services: The representative banking estate included container, API, messaging, analytics, storage, and AI services designed around private access and identity-based authentication.
• Infrastructure delivery: Terraform composition roots and Azure Verified Modules provided repeatable deployments with isolated state and workload-identity-based automation.

This structure gave the central platform team control over shared guardrails while allowing workload teams to deliver within clearly defined boundaries.

Key decisions

The most valuable work came from decisions made during live deployment and testing.

• I changed the regional strategy when service-capacity failures showed that the original placement was not viable.
• I removed a custom network control that conflicted with a managed Azure service instead of forcing an inappropriate virtual-machine pattern onto it.
• I separated long-running identity deployment into a durable staged process after authentication lifetime became an operational constraint.
• I assigned a single owner to resources that Azure Policy and Terraform might otherwise manage simultaneously, reducing drift and deletion conflicts.
• I designed deployment and teardown as controlled, dependency-aware workflows rather than treating them as one-command operations.
• I documented what was proven, what remained report-only or deferred, and what would need to change before production adoption.

These decisions demonstrate the part of architecture that matters beyond a diagram: responding to platform behavior, balancing controls with operability, and keeping claims aligned with evidence.

Outcome

The result was a reusable enterprise platform baseline that was deployed and validated in Azure, then cleanly torn down through the same governed delivery model. It demonstrated:

• policy-driven governance across platform and workload boundaries;
• secure, private-by-default connectivity for representative banking services;
• centralized security, monitoring, and cost controls;
• reproducible Terraform delivery without stored cloud credentials; and
• an operating model for deployment, recovery, exceptions, and decommissioning.

The project also preserved an honest distinction between a production-oriented architecture and a production claim. Availability, access enforcement, service scale, data governance, and recovery requirements would still be finalized against a real organization’s risk, ownership, and business-continuity needs.

The implementation details, configuration choices, diagrams, runbooks, and deployment evidence live with the architecture repository and can be reviewed there when the repository is made public.