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FinOps & Cloud Cost Optimization · Case study

Cloud TCO & Infrastructure
Cost Optimization.

Building a three-year financial model for infrastructure modernization.

Executive summary

Context, direction, and delivery.

A three-year planning model was created to compare the broader Total Cost of Ownership of traditional infrastructure with an Azure-based operating model.

The analysis extended beyond server purchase price and cloud compute. It considered storage, licensing, backup, networking, power, cooling, staffing, monitoring, lifecycle obligations, and the Azure commercial and engineering choices that materially affect cost.

Business challenge

A complete view of infrastructure economics.

Cloud decisions are often distorted by comparing physical server purchase price directly with cloud compute cost.

A useful cloud economics assessment must include capital, operational, licensing, resilience, support, and lifecycle considerations, then validate the assumptions against workload utilization and current commercial pricing.

On-premises cost model

The operating baseline.

  • Physical servers and SAN storage
  • Network and firewall infrastructure
  • Operating-system, software, and hypervisor licensing
  • Backup infrastructure
  • UPS and power protection
  • Cooling and WAN connectivity
  • Hardware maintenance, monitoring, and operational staffing
  • Hardware replacement cycles and depreciation

Cost assessment

Evidence before investment decisions.

  • Establish workload demand and utilization baselines
  • Document current capital and operating-cost categories
  • Model Azure compute, storage, backup, networking, monitoring, support, and recovery options
  • Test rightsizing, reservation, licensing, retention, and regional assumptions
  • Separate illustrative planning assumptions from commercial quotes and realized outcomes

Azure cost model

A controlled target state.

The Azure cost model considered the services and commercial decisions that shape a sustainable operating baseline, rather than treating compute price as the complete cloud cost.

  • Reserved VM compute where appropriate
  • Managed Disks and storage
  • Backup and retention requirements
  • Networking and monitoring
  • Support and disaster-recovery capabilities
  • Applicable licensing considerations
  • VM rightsizing and actual utilization
  • Azure reservations and Hybrid Benefit eligibility
  • Storage-tier optimization and region selection

Three-year TCO comparison

A transparent illustrative baseline.

Illustrative planning model — three-year Total Cost of Ownership
On-premises 3-year TCO$279,000
Azure reserved baseline$147,000
Illustrative difference$132,000approximately 47%

Illustrative planning model. These figures are not historical customer invoices, a Microsoft commercial quote, or a guaranteed customer saving. Actual cloud economics vary by workload profile, region, licensing, reservation strategy, storage requirements, and operational model. Commercial estimates should be validated against current Azure pricing and customer-specific usage.

FinOps methodology

Sequenced for evidence
and control.

  1. 01

    Discover

    Collect infrastructure, utilization, licensing, support, and operational-cost inputs.

  2. 02

    Baseline

    Create a transparent current-state TCO baseline across capital and operational categories.

  3. 03

    Right-size

    Align proposed cloud resources with observed workload needs rather than inherited hardware specifications.

  4. 04

    Model

    Build multi-year Azure scenarios using documented technical and commercial assumptions.

  5. 05

    Optimize

    Evaluate reservations, Hybrid Benefit, storage lifecycle, backup retention, and unused resources.

  6. 06

    Validate

    Review pricing, eligibility, workload behavior, region, and operational assumptions with accountable owners.

  7. 07

    Govern

    Introduce tagging, budgets, allocation, monitoring, and decision ownership.

  8. 08

    Continuously review

    Revisit utilization, commitments, architecture, and demand as the environment changes.

Security & governance

Control built into the approach.

  • Cost allocation through resource organization and tagging
  • Budgets, monitoring, and accountable review cadences
  • Commercial validation of reservations and licensing eligibility
  • Change safeguards around rightsizing and lifecycle actions
  • Clear documentation of model assumptions and exclusions

Business continuity considerations

Recovery remains an operational capability.

The model included backup and disaster-recovery capabilities rather than excluding them from the cloud baseline.

Cost decisions must preserve agreed service criticality, retention, security, and recovery needs; optimization should not silently remove required resilience.

Business value

Qualitative, evidence-based outcomes.

  • Reduced dependency on capital expenditure
  • Improved infrastructure agility and scalability
  • Reduced hardware lifecycle burden
  • Better cost visibility and capacity planning
  • Consumption-based infrastructure with continuous optimization opportunities
  • Improved governance and clearer business-continuity options

Technology & cost considerations

Platforms and capabilities.

Microsoft AzureAzure Virtual MachinesAzure reservations / Reserved InstancesAzure Hybrid Benefit where eligibleManaged DisksAzure StorageAzure BackupAzure networkingAzure MonitorTagging, budgets, and cost allocation

Lessons learned

What made the work dependable.

  • A complete TCO model is broader than hardware versus compute.
  • Rightsizing and utilization evidence should precede reservation decisions.
  • Commercial assumptions must be time-bound and revalidated against current pricing.
  • FinOps creates lasting value when cost visibility, engineering action, and governance operate as a continuous cycle.

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