Capability · FinOps & cost
Cloud cost optimisation (FinOps)
Lower, governed cloud spend — without losing performance.
31%
lower monthly cloud spend
180+
resources assessed
43%
lower non-production compute spend
97%
cost-allocation coverage
Measured on one engagement — anonymised client, verified with the owner.
Sound familiar?
Two or more of these means this page is for you.
- 1Spend grows faster than usage — and nobody can say which part is growth and which is waste
- 2The bill arrives as one number; allocation by team or product is guesswork
- 3Non-production runs 24/7 because nobody owns turning it off
- 4Commitments feel risky because usage was never measured
The transformation
How this discipline behaves when it's done right
- 1
Baseline & allocation
Utilisation measured against provision, tagging enforced at the control plane, spend attributed to owners.
- 2
Optimisation levers
Right-sizing, scheduling, storage tiering, Spot and commitments — applied in the order that protects performance.
- 3
Governance that holds
Budgets, anomaly alerts routed to owners and a monthly cost review, so the bill stays governed after we leave.
Artifacts
What you hold at the end
- Ledger
Cost baseline — utilisation vs provision, by owner
- Plan
Prioritised savings roadmap with risk notes
- Code
Tagging policy and scheduling automation
- Report
Monthly governed-spend review
Evidence
What it did on a real system
Situation
A growing SaaS company whose Azure spend rose steadily, with no way to separate genuine growth from avoidable consumption.
Intervention
A utilisation review across 180+ resources — rightsizing, schedules, storage and commitments — plus tagging and an ownership model.
Measured result
Monthly cloud spend 31% lower with availability preserved; non-production compute down 43%; 97% of spend allocated to owners.
Verified with the engagement owner · client anonymised by agreement.
Read the full engagementStart here
Starts as the fixed-scope Cloud Cost & FinOps Audit (~2 weeks); the roadmap it produces is executable by your team or ours.
Delivery & ongoing
- Cost baseline and rightsizing
- Reserved-capacity and Spot strategy
- Autoscaling and tagging
- Cost allocation and FinOps governance
Delivered as code with handover — or run ongoing as managed operations.
Will cost work hurt performance?
Not done in this order. The first levers — rightsizing against measured utilisation, scheduling idle environments — recover waste, not headroom. Performance-relevant changes are validated under load.
How we think about this problem
All field notes
FinOps for DevOps teams: cost accountability without the blame
Make spend as observable as latency — visible, owned and continuously improved.
16 min read

Catching Cloud Cost Anomalies Before the Invoice
Treat spend as a real-time engineering signal, not a month-end finance surprise.
19 min read

Spot instances in production: 60% off without the 3 a.m. pages
60–90% off on-demand without the 3 a.m. pages — engineering, not luck.
21 min read

Kubernetes cost optimisation: a utilisation problem, not a price problem
The average cluster uses about 10% of its CPU — fix sizing before touching pricing.
21 min read
Find your recoverable cloud waste
Bring last month's bill. We'll tell you which part of it is structure and which part is habit.