ALEX C. GODWIN | Cloud & DevOps Engineer
CLOUD ENGINEERING PROJECT

Azure Enterprise Landing Zone

Live-validated Azure landing-zone project with Terraform, AKS, identity, Key Vault, monitoring, CI checks, architecture evidence and cost-controlled operations.

AzureTerraformAKSKey VaultCI

Project Overview

This project defines an Azure platform foundation as if it were being reviewed for real workload onboarding: network boundaries, identity assumptions, secrets handling, AKS runtime shape, monitoring coverage, CI validation and cost controls are all treated as connected operating decisions.

Engineering Problem

The engineering problem is not simply creating Azure resources. The problem is building a foundation that can be reviewed, repeated, governed and shut down safely without losing the evidence of how it works.

  • Remove one-off portal work by expressing the landing zone as versioned infrastructure.
  • Separate network, identity, secrets, compute and observability so risk can be reviewed layer by layer.
  • Preserve implementation evidence while keeping live cloud exposure limited and intentional.

Architecture

The architecture is written as a decision record: what belongs in the platform foundation, what is intentionally controlled, and what evidence proves the design can be repeated.

  • Terraform defines the landing-zone structure and keeps infrastructure changes reviewable.
  • AKS, ACR, Key Vault and monitoring are treated as platform capabilities, not isolated services.
  • Identity and access decisions are documented as operating boundaries for future workloads.
  • CI validation and repository evidence provide a repeatable review path from code to architecture.

Implementation Evidence

DEFINETerraform Foundationnetwork • identity • platform boundaries
↓
VALIDATECI Checksformat • validate • review • security
↓
PLATFORMAKS + ACRruntime • registry • workload identity
SECURITYEntra + Key Vaultaccess • secrets • policy
OPERATIONSMonitor + Logstelemetry • evidence • review
↓
RESULTGoverned Azure Foundationrepeatable • reviewable • cost-controlled

Implementation evidence is organized around a controlled path from infrastructure definition through validation, platform capability and operational review.

  • Infrastructure modules are organized so networking, runtime, identity, secrets and monitoring can be assessed independently.
  • README and evidence notes explain design intent, validation approach and operating assumptions.
  • Repository history shows the project as owned engineering work, not a throwaway exercise.
  • Cost controls are documented as part of the operating model.

Validation Evidence

Validation is captured in the repository so the project can be reviewed without relying on vague claims. GitHub Actions runs Terraform formatting, backend-free initialization and validation on pull requests and main-branch changes without requiring cloud credentials.

  • Repository checks validate syntax, structure and documentation consistency.
  • Implementation notes distinguish live validation from long-running cloud resources.
  • The evidence trail can be reviewed from the public source repository.

Operating Tradeoffs

The project follows a zero-cost operating posture while still showing platform depth, decision quality and implementation discipline.

  • Long-running resources are avoided unless needed for evidence or review.
  • Architecture remains cloud-realistic without creating unnecessary spend.
  • The project favors repeatable validation over screenshots that become stale.

What I Built

  • Terraform-defined Azure landing-zone foundation with separated hub and workload responsibilities.
  • AKS platform design with ACR, Key Vault, identity integration and monitoring coverage.
  • CI validation path using repository checks and OIDC-ready cloud access.
  • Operational notes covering security boundaries, cost controls and teardown decisions.

Security and Operating Controls

  • Identity, workload access and secrets handling are treated as platform concerns rather than application afterthoughts.
  • Long-lived credentials are excluded from the delivery workflow.
  • High-cost always-on services remain documented production expansion points instead of unnecessary running spend.
  • Evidence distinguishes live validation from resources intentionally removed after testing.

Engineering Controls

SECURITYIdentity FirstEntra • RBAC • workload identity
DELIVERYInfrastructure as Codereviewable Terraform changes
OPERATIONSObservable Platformmonitoring • logs • runbooks
COSTControlled Exposurevalidate • evidence • teardown

Failure Analysis

The design considers failed validation, invalid identity assumptions, unavailable dependencies, policy drift and unnecessary resource exposure. Each risk has a review point, an operational boundary and a documented production extension.

Completed Result

The completed project provides a reviewable Azure foundation with infrastructure code, validation checks, platform services, operating notes and cost-aware delivery evidence. It demonstrates how the landing zone could support controlled workload onboarding without changing the existing OpsChugex production environment.

Source Code

The repository contains the implementation, documentation and supporting evidence.

Open GitHub Repository

Engineering Value

This project shows platform ownership: infrastructure design, control boundaries, validation evidence, operating discipline and cost-aware decision making.