Service
Cost Optimisation & FinOps
Bring cloud spend under control with the same rigor applied to architecture and delivery.
What this covers
Cloud cost is a design outcome, not just a billing line. We look at how a system is architected and operated to find where spend can come down without weakening reliability. That starts with visibility: knowing what's actually being spent, by whom, and why, in a breakdown finance and engineering can both use. From there, rightsizing, commitment strategy, and architecture-level review find the spend that doesn't match real usage, and a reporting cadence keeps that picture current instead of a one-time snapshot.
Why it matters
Cost optimisation done as a one-off exercise drifts back within a year. Built into how a team designs and operates, it stays under control on its own. Spend reviewed once a year drifts back to where it started within a few months; spend reviewed as part of how a team builds stays under control without a dedicated push.
A practical next step
Tell us about the workload or environment involved and we'll help clarify a useful starting point.
Talk to us ↗What's included
Capabilities
01
Cost visibility & allocation
Break down cloud spend by service, team, or product so the right people can see and act on what they own.
02
Rightsizing & waste reduction
Identify over-provisioned or idle resources and adjust them to match actual, observed usage.
03
Commitment & pricing strategy
Use reserved capacity, savings plans, or spot pricing where the workload's usage pattern makes them a genuine saving.
04
Architecture-level cost review
Assess whether an architecture's cost profile matches its actual traffic and growth, not just its peak-case design.
05
FinOps process & reporting
Set up the reporting and review cadence that keeps engineering and finance working from the same cost picture.
06
Budget alerting & guardrails
Put automated checks in place so unexpected spend is caught early, before it becomes a quarterly surprise.
Related services
Cloud Advisory & Architecture
Independent guidance on cloud strategy and the architecture decisions that determine what a system costs to run and how hard it is to change.
Cloud Migration & Modernisation
Move workloads off legacy or on-premises infrastructure onto cloud-native foundations, in stages that keep the business running.
Data & AI on Cloud-Native Foundations
Cloud-native data platforms and pipelines that keep data usable as a system grows, with AI applied where it improves a defined workflow.