Clear, owned outputs.
- A cost analysis with savings opportunities
- Tagging standard and allocation reports
- Right-sizing and clean-up changes
- Commitment recommendations
- Budgets, alerts and a review cadence
Cloud bills grow quietly: idle resources, oversized instances, forgotten storage and data transfer add up. Cost optimization finds that waste, fixes it safely and puts practices in place — tagging, budgets, reviews and ownership — so savings last rather than creeping back.
Spend visibility, right-sizing, commitments and FinOps practices.
The cloud bill rises every month and nobody can explain why.
Costs can't be attributed to teams, products or customers.
Development environments run around the clock.
Commitment discounts are unused or over-purchased.
Breaking down costs by service, account, team and workload.
Tag standards and cost allocation so every cost has an owner.
Matching compute and database sizes to actual usage.
Savings Plans, reserved capacity and committed use discounts.
Switching off idle environments and removing waste.
Budgets, anomaly alerts, reviews and shared accountability.
Savings come in a predictable order: stop paying for what you don't use, size what you do use, then commit to what's steady.
| What we check | Why it matters |
|---|---|
| Idle resources | Unattached disks, old snapshots, forgotten test environments and load balancers with no traffic. |
| Rightsizing | Instances and databases sized from measured CPU and memory, not from the original estimate. |
| Scheduling | Non-production environments switched off outside working hours. |
| Commitments | Savings Plans, reserved instances or committed-use discounts for steady baseline usage. |
| Storage tiers | Lifecycle policies that move infrequently used data to cheaper storage classes. |
| Accountability | Tagging, budgets and monthly reports per team so the savings stick (the FinOps part). |
Waste is removed without hurting performance.
Teams see and own their costs.
Budgets and alerts prevent surprises.
Current state, risks, constraints and goals reviewed with your team.
Target state, options and trade-offs written down and agreed.
Changes delivered as code, peer-reviewed and tested.
Changes rolled out safely with monitoring and rollback ready.
Documentation, runbooks and knowledge transfer to your team.
It depends on your estate. We don't promise percentages up front; the analysis quantifies specific opportunities and their risks before anything changes.
Changes are based on usage data and tested, with headroom kept for peaks. Anything risky is discussed before it's made.
A practice that brings finance, engineering and business together to manage cloud spend, with shared visibility and responsibility.
Describe the environment and what needs to change. We'll reply with the questions we would answer first and a sensible first step.