CLOUD OPTIMISATION SERVICES
Cloud cost and performance optimisation
Our cloud optimisation work connects cost visibility, workload efficiency and operational ownership so your teams can identify waste and sustain improvements.
- Cost and carbon treated as one engineering problem
- Guardrails that keep the estate efficient after we leave
- Unit cost put in front of the teams who create it
Not a discount problem.
Most cloud savings programmes start and end with buying commitments. That captures the easy win and misses the structural one.
Real optimisation is engineered: it changes how workloads are sized, scheduled, and shut down, and it puts unit cost in front of the teams who create it. We make cost and carbon visible where decisions are made, then pave the guardrails that keep the estate efficient after the consultants leave.
Bank quick wins first, build lasting efficiency underneath.
Not all savings are equal in effort or durability. We sequence the levers so discounts come last, after the estate is already right-sized.
Discounts (lever 4) are worth taking, but they are cheapest and safest once the estate is already right-sized (levers 1 to 3), so you commit to real demand, not to waste.
Every idle instance you rightsize is a line off the invoice and a slice off your emissions.
Most savings erode because nobody owns them after the report.
We build the guardrails into your pipelines, so efficiency becomes a habit the platform enforces.
Our dedicated-team model embeds FinOps and platform engineers who ship policy-as-code that blocks untagged resources, budgets that alert before they breach, and a monthly cadence that keeps the estate honest. Optimisation becomes a habit, not a one-off cleanup.
What platform and finance leads ask us first.
Commitments capture the easy win but miss the structural one. We sequence the levers so tagging, rightsizing, and scheduling come first; only then do commitments get bought against real demand rather than against waste, which is cheaper and safer.
They climb on the same curve because they share a root cause: capacity provisioned and never reclaimed. Every idle instance you rightsize is a line off the invoice and a slice off your emissions, so treating them as one engineering problem is how the savings stick.
We aim for first quantified savings within two weeks. Give us read access to one account or one workload and we show you where the waste is, in dollars and carbon, before you commit to anything.
Ownership and guardrails. Our dedicated-team model embeds policy-as-code that blocks untagged resources, budgets that alert before they breach, and a monthly cadence, so optimisation becomes a habit the platform enforces rather than a one-off cleanup.
Give us one account or one workload. We will show you the waste, in dollars and carbon.
With read access to a single scope, we show you where the waste is and what it costs before you commit to anything.