Cloud Cost Optimization: Find the Waste, Spend Where It Counts
Native optimization tips are scattered and sales-leaning; digging through monitoring misses waste. Mof’s Resource Center puts utilization (P95) and real cost in one place, spots idle, orphaned and over-provisioned resources across clouds, with anomaly detection and accountable allocation.
Status quo · scattered tips, waste found by hand
Per-cloud tips
Dig through monitoring
Excel lists
Stale on arrival
Scattered, sales-leaning, hard to quantify — optimization stalls
With Mof · waste in one place
Read-only, spot waste, see real cost
Why teams use Mof for cost optimization
To cut cost you first need to know where the waste is. But native tips are single-cloud and mostly nudge you to buy RIs / savings plans; finding waste yourself means digging through monitoring instance by instance, with CPU / memory separate from the bill and idle disks, orphaned IPs and snapshots easy to miss; and Excel lists don’t line up with the bill and go stale immediately.
Mof is a FinOps platform for teams running more than one cloud. Its Resource Center puts inventory, utilization (P95) and real cost per resource in one place, spotting idle, orphaned and over-provisioned resources across accounts and clouds with real cost front and center, plus anomaly detection and accountable allocation — so optimization becomes visible, clear and actionable.
How teams optimize cost today — each with a catch
Native tips, digging through monitoring, Excel lists — each holds for a while, but all are scattered, incomplete and hard to quantify.
- Single-cloud onlyEach cloud’s own, no cross-cloud picture
- Sales-leaningMostly “buy RIs / savings plans,” not always real savings
- No follow-throughAdvice given, nobody tracks it, nothing quantified
- One instance at a timeUnmanageable once you have many
- No cost lensCPU / memory separate from the bill — is it worth it?
- Easy to missIdle disks, orphaned IPs and snapshots slip by
- Pulled by handInventory and bill don’t line up
- Stale on arrivalA snapshot — different again the next day
- Hard to quantify“How much can we save?” stays fuzzy
How Mof does it
Put utilization and real cost in one place with the Resource Center, spot waste, and drive it home with accountable allocation.
Manual / cloud-native vs Mof
| Dimension | Manual / cloud-native | Mof |
|---|---|---|
| Multi-cloud | Per-cloud tips | Cross-cloud detection |
| Utilization + cost | Monitoring and bill separate | Resource Center (P95 + real payable) |
| Idle / orphaned | Found by hand, easy to miss | Auto-detected + real cost per resource |
| Over-provisioning | Gut feel | Flagged by P95 utilization |
| Anomalies | None / lagging | Holt-Winters real-time |
| Accountability | Cost unowned | Allocated to team / project |
| Export | Manual cleanup | Bills & usage, one-click Excel |
Cloud cost optimization FAQ
How is Mof’s cost optimization different from the cloud’s own tips?
Native tips are single-cloud, lean toward selling RIs / savings plans, and are hard to act on. Mof’s Resource Center puts utilization (P95) and real cost in one place, spots idle, orphaned and over-provisioned resources across clouds, and adds anomaly detection and accountable allocation so optimization actually lands.
What does the Resource Center show?
Resource inventory, per-resource utilization (P95), real cost per resource, and over-provisioned / idle / orphaned / stopped flags — unified across accounts and clouds so you can see waste at a glance.
What waste can it find?
Common cases include idle or over-provisioned instances, unattached disks and public IPs, unused snapshots and images, and long-stopped-but-billed resources — each shown with its real cost so you can decide to retire or downsize.
How do you judge if a resource is over-provisioned?
Mof uses P95 (and similar percentile) utilization rather than instantaneous peaks, alongside real cost, to flag long-underused resources — the downsize/retire decision stays yours, weighed against business needs.
How does optimization get acted on?
Mof allocates cost to teams / projects so it’s owned, and exports bills and usage to Excel with the Resource Center’s waste flags — so optimization doesn’t just sit in a report.