Cloud cost optimization services for AWS, Azure, GCP, and OCI
We are the independent buyer-side team that cuts public cloud spend across every major provider. Our four services work the whole stack — from the contract you signed to the query running at 3am — and our median client lands a 31% reduction in the first 90 days.
Engagements are scoped to your estate — there is no published price list and no provider commissions. Ask sales for a quote scoped to your footprint.
Spend visibility & allocation
You cannot cut what you cannot see. We build one normalized cost model across every account and provider, mapping each dollar to a team, product, and unit of value. We standardize billing data to the FinOps FOCUS specification so AWS, Azure, GCP, and OCI line items compare on equal footing.
- Unified cost data model across AWS CUR, Azure cost exports, GCP billing export, and OCI cost reports
- Tag and label hygiene, allocation keys, and shared-cost splitting
- Showback and unit economics — cost per customer, per environment, per service
Rate & commitment engineering
Commitments are the biggest lever and the biggest risk. We model your real usage and orchestrate the right blend of Savings Plans, Reservations, CUDs, and Universal Credits — roughly 20 to 72% off on-demand in exchange for utilization risk you carry. Coverage follows a defensible forecast, never a discount-maximizing guess.
- Risk-adjusted commitment portfolio and laddered renewals
- Enterprise agreements: AWS EDP tiers, Azure MACC drawdown, GCP & Oracle Universal Credits
- Spot and flexible-compute strategy for interruptible workloads
Architecture & rightsizing
The savings that never expire come from reshaping the workload itself. Idle capacity, oversized instances, chatty egress, runaway storage tiers, and overprovisioned Kubernetes requests quietly inflate every bill. We work alongside your engineers to redesign the parts that drive the bill without breaking production.
- Rightsizing and autoscaling tuned to real demand curves
- Storage tiering, egress reduction, NAT and load-balancer cleanup
- Kubernetes request/limit calibration, bin packing, idle-namespace recovery
FinOps governance & operating model
Savings decay without discipline. We embed the rituals, guardrails, and anomaly alerts that keep spend flat as you grow, then hand the keys to your team. Native advisors recommend but do not decide — we install the decision rights that turn recommendations into action.
- Operating-model design: decision rights, cadence, accountability across eng and finance
- Anomaly detection, budgets, and policy guardrails wired to your tooling
- Enablement so your team keeps the savings without depending on us
One sequence, four compounding levers.
| Service | Primary lever | Typical contribution to total savings |
|---|---|---|
| Spend visibility | Waste made visible and owned | Enables the rest · 0–5 pts direct |
| Rate & commitment engineering | Discount against on-demand | 10–25 pts |
| Architecture & rightsizing | Lower consumption at the source | 10–20 pts |
| FinOps governance | Savings that hold over time | Protects the full stack |
Most programs cut spend 20–40% through rightsizing, waste elimination, storage tiering, commitment coverage, and architecture. The flagship case — a scaling fintech — ended 41% lighter on run-rate with zero roadmap slip. All four levers run on Datum.
Cloud cost optimization services, answered.
Will optimization slow our engineers down?
How are you independent?
Which clouds do you cover?
How do you charge?
Put a defensible number on your cloud spend.
Tell us your footprint and we will scope the right engagement. Independent, buyer-side, no provider in the room.