Cloud Cost Optimization
The cloud bill grows every month, nobody can explain exactly why, and finance wants answers. Cost problems are architecture problems wearing a spreadsheet — and they respond to engineering, not to another round of budget meetings.
The problem
Cloud spend drifts for predictable reasons: resources sized for peak and never revisited, dev environments running around the clock, premium tiers chosen "to be safe," lift-and-shifted VMs doing a job a serverless function could do for pennies, and no ownership — when nobody sees the cost of their choices, nobody optimizes them.
What we do
Cost architecture review
Analysis of your actual usage with Azure Cost Management and Advisor data: right-sizing, storage tiering, orphaned resources, cross-region traffic surprises.
Commitment strategy
Reservations, savings plans, and hybrid benefit applied where usage is stable — with the math shown, so you know why each commitment is safe.
Architecture-level savings
The bigger wins: PaaS instead of IaaS, autoscaling instead of peak sizing, scheduled shutdown of non-production, consumption-based services where load is spiky.
FinOps practices
Tagging standards, budgets and alerts, cost-per-team dashboards, and anomaly detection — so costs stay visible and owned after we leave.
How an engagement runs
- Quick wins first: a savings report within the first weeks — waste removal that requires no architecture change and no risk.
- Structural changes: prioritized re-architecture items with projected savings, implemented incrementally through your normal delivery process.
- Guardrails: policies and budgets that prevent regression — new resources are tagged, sized, and accounted for from day one.
What you get
- A measurably smaller bill — typically 20–40% reduction — with performance maintained or improved.
- Cost visibility per team and per product, so conversations with finance become factual.
- A culture and tooling setup where costs stay optimized instead of creeping back.