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Falstech.
Microsoft cloud service

Cost & Governance

Clearer Azure cost attribution, a prioritized optimization backlog, and documented controls for ongoing review.

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When this fits

Signs you need this.

  • Your Azure bill has grown and no single person can explain why.
  • Finance and engineering do not share a reliable explanation of the invoice.
  • Dev and test resources run around the clock with no schedule.
  • Reservations were bought once and never revisited.
  • Resource ownership and cost allocation are incomplete or inconsistent.
First

What we assess.

  • Spend by subscription, resource type, available owner, and agreed business grouping.
  • Compute, SQL, and storage SKUs that are oversized for their real utilization.
  • Reservation and savings-plan coverage against actual usage patterns.
  • Idle and orphaned resources — stopped-but-billing disks, unused IPs, dev VMs.
  • Storage tiers and whether lifecycle policies are moving cold data down.
Then

What we implement.

  • Approved right-sizing or cleanup changes supported by utilization and dependency review.
  • Commitment options with documented assumptions and break-even analysis.
  • Lifecycle or scheduling controls for agreed storage and non-production resources.
  • Budgets, alerts, and policy controls included in scope.
  • A cost-allocation and reporting approach based on available ownership data.
Deliverables

What you get.

  • Azure spend baseline and cost-driver map
  • Prioritized optimization backlog
  • Commitment options with break-even analysis
  • Approved lifecycle, scheduling, or cleanup changes
  • Budget, alert, and policy-control plan
  • Cost-allocation and reporting design

What the engagement requires and where it ends.

Often begins as a paid fixed-scope assessment. Approved remediation can follow as fixed-scope implementation or ongoing fractional engineering capacity.

Client inputs

  • Billing-reader access or approved cost exports for the review period
  • Resource ownership and business-allocation information where available
  • Utilization data and workload owners for proposed changes
  • Commitment, budget, change-window, and procurement constraints

Explicit exclusions

  • Guaranteed savings or a universal reduction percentage
  • Unapproved production changes or commitment purchases
  • Cloud billing disputes, accounting advice, or software-license procurement

Handoff

  • Cost baseline, assumptions, and prioritized findings
  • Decision log for approved and deferred changes
  • Implemented control artifacts included in scope
  • Ownership model and recommended review cadence
Stack

Technologies.

Microsoft Cost ManagementAzure ReservationsAzure Savings PlansAzure AdvisorAzure PolicyBudgets & AlertsStorage Lifecycle Management
Questions

Frequently asked.

Will right-sizing risk breaking production?
Changes are proposed against real utilization data and staged so you approve each one. We prioritize low-risk wins — idle resources, over-provisioned dev, unattached disks — before touching anything on a critical path.
Should we commit to 1-year or 3-year reservations?
It depends on how stable the workload is. We model both against your actual usage history and show the break-even for each, so the commitment matches the confidence you have in keeping that resource running.
How do the savings hold after the engagement ends?
Sustained improvement depends on ownership and review, not a one-time cleanup. The engagement can establish budgets, alerts, policies, allocation rules, and a review cadence; your team then owns that operating process unless ongoing support is separately scoped.

Ready to start?

Start with a focused discovery conversation about the environment, pressure, access, and outcome. Pricing is provided after that conversation or a paid assessment when more evidence is required.