Cost optimisation
Most cost programmes produce a good first month and then drift back. The savings that hold come from architecture and commitment strategy, not from a weekend of turning things off.
- Common triggers
- A bill growing faster than revenue, or a board question
- Typical shape
- Fixed-scope analysis, then implementation support
- Team size
- One to three engineers
- Duration
- Four weeks to six months
- Roles involved
- FinOps engineers, cloud engineers, data engineers
CloudOps Network staffs cost optimisation work with FinOps-capable cloud engineers. Engagements typically start with a bill and utilisation analysis, then move through commitment strategy, architectural change and unit economics reporting so the savings survive the next planning cycle.
What the engineers actually do
Bill and utilisation analysis
Where the money goes, at resource and team level, with the shared costs actually allocated rather than dumped in an unassigned bucket.
Commitment strategy
Coverage and commitment modelling against real usage patterns, including the flexibility you are paying to keep.
Architectural savings
Storage tiering, data transfer paths, right-sizing, scheduling and the query patterns quietly costing more than the compute.
Waste elimination
Orphaned volumes, idle environments, forgotten clusters and the test estate nobody has looked at since the person who built it left.
Unit economics
Cost per customer, per transaction, per tenant. The number that tells you whether growth helps or hurts.
Guardrails that last
Budgets, anomaly alerts, tagging enforcement and a monthly review that survives the engagement ending.
Signs you need outside help
Cost work is worth outsourcing when the analysis needs someone with no stake in the architecture they are reviewing.
The bill grows faster than usage
Usually a commitment coverage or data transfer problem.
More than a fifth of spend is unallocated
You cannot manage what you cannot attribute to a team.
Last year's savings have evaporated
Point-in-time cuts without guardrails always drift back.
Nobody knows the cost of serving your largest customer
That number changes pricing decisions more than any infrastructure change.
How a cost engagement runs
Analysis
Three to four weeks, fixed price. A findings pack with sized, ranked opportunities and the effort and risk attached to each one.
Quick wins
Waste removal and scheduling changes, executed in the first month. These fund the rest of the work.
Commitment strategy
Coverage modelled against forecast usage, with the flexibility trade-off stated explicitly rather than assumed.
Architectural change
The larger savings. Storage tiering, transfer paths, right-sizing and query redesign, prioritised on payback period.
Guardrails and handover
Tagging, budgets, anomaly alerts and a review cadence your team owns afterwards.
Questions on this work
How much can we expect to save?
Estates that have not had a serious review in a year commonly find 15 to 30 percent, though the honest answer is that the analysis tells you before you commit to the implementation. We will not quote a number before seeing a bill.
Will this hurt reliability?
Not if it is done properly. Every recommendation carries a risk rating, and changes that trade reliability for savings are flagged as such rather than buried in a spreadsheet.
Do you take a percentage of savings?
No. Work is priced as a fixed-scope analysis plus implementation support. Percentage-of-savings pricing creates an incentive to recommend risky cuts.
Do you cover multi-cloud?
Yes, though the analysis depth is greatest on AWS. Multi-cloud estates usually need the allocation model fixed before the savings work is meaningful.
Tell us what you are building
Describe the work in a few lines. We come back with a shortlist of engineers who have done it before, their availability, and a rate range. No account, no platform fee, no obligation to hire.
Most briefs get a shortlist within three business days.