$ cost --right-size
FinOps & Cost Optimisation
Most cloud and AI overspend is structural, not wasteful usage — over-reserved compute, unbounded context and no ceilings. All three are fixable.
Clusters we audit are routinely 20–40% utilised while billing for 100%. The cause is almost never the cloud provider — it is resource requests copied from another manifest, doubled after one incident, and never revisited.
Where the money is
- Kubernetes requests set near measured p95 rather than inherited values
- CPU limits never pinned to the request, because throttling healthy services costs more than it saves
- AI workloads routed by difficulty — sending every request to the largest model is the most common single overspend
- Hard budget ceilings, so the worst case is bounded rather than discovered
We measure quality before and after. Cost work without measurement is how a service quietly degrades until someone complains months later.
Ready to talk finops & cost optimisation?
Bring your current setup — we'll bring a migration path.