02 · FinOps
Cost & Governance
A lower, predictable Azure bill that finance can attribute and trust.
All services
When this fits
Signs you need this.
- Your Azure bill has grown and no single person can explain why.
- Finance no longer trusts the invoice, and engineering has stopped defending it.
- Dev and test resources run around the clock with no schedule.
- Reservations were bought once and never revisited.
- There's no chargeback, so no team feels the cost of what it provisions.
First
What we assess.
- A line-by-line spend breakdown by subscription, business unit, and project.
- 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.
- Right-sizing changes on the resources where the numbers justify it.
- A reservation and savings-plan strategy with a documented break-even.
- Lifecycle policies for storage and cleanup of idle resources.
- Budgets, cost alerts, and Azure Policy guardrails against future drift.
- A monthly chargeback report finance can hand to each business unit.
Deliverables
What you get.
- Azure spend audit + breakdown by BU/project
- Right-sizing recommendations + execution
- 3-year reservation strategy with break-even analysis
- Lifecycle policies for storage and idle resources
- Budget alerts + Azure Policy guardrails
- Monthly chargeback report template
Stack
Technologies.
Microsoft Cost ManagementAzure ReservationsAzure Savings PlansAzure AdvisorAzure PolicyBudgets & AlertsStorage Lifecycle Management
ProofRead the case study →
Related case study.
$12K/mo
Azure spend recovered
A logistics group's Azure bill had doubled in 14 months with no clear owner. We mapped it, cut it, and locked it down with policy.
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?
- The guardrails outlast us. Budgets, cost alerts, and Azure Policy catch new drift at deploy time, and the chargeback report keeps each team accountable for what it spends.
Ready to start?
Most engagements start with a 30-minute discovery call. We'll ask about your environment and your timeline, then suggest the right starting point.