Cloud Infrastructure & FinOps
We set up cloud environments where every resource has an owner and the month‑end bill no longer surprises the CFO.
What the technology gives you
The cloud budget can be planned like any other cost line. Finance and engineering see the same figures and make spending decisions together. Teams get new environments quickly, built the same way from templates. The infrastructure handles peak loads and recovers from failures to an agreed plan. Each change is recorded and easy to review or undo. We design the infrastructure, move it to the cloud, run it and bring order to the bills.
What’s included
- Cloud architecture and migration
- Running cloud environments
- Cost allocation and forecasts
- AI, SaaS and licence spend
What it solves
No one sees who pays for what
Each team and product sees its share of the bill and answers for it.
We pay for capacity that sits idle
We size resources to the workload and keep spare capacity only where it is needed.
AI spend grows unchecked
Each AI service has its own budget, and the person responsible hears of an overrun at once.
Tests and live services share one environment
Separating the environments shows what testing costs and makes changes safer to try.
Archives sit on the most expensive storage
Rarely used data moves to cheaper storage, while everyday data stays on fast disks.
Engineers lose hours sorting out the bill
Cost reports are built automatically, and engineers get back to their own work.
When you need it, and when you don’t
You need it
- the cloud bill grows faster than the workload
- you plan a move to the cloud and doubt the full cost
- you work with several cloud providers at once
You don’t
- you run only a few small servers in the cloud: the provider’s budget alerts are enough
- a managed service partner already tracks and optimises your spend: checking its reports is enough
- you only need a one‑off savings list: the provider’s built‑in recommendations will do
How we do it
- 01
We look for forgotten resources first
The biggest losses come from resources forgotten three to four months after launch. An automated check blocks any new resource without an owner tag.
- 02
We don’t move architecture one to one
Architecture moved unchanged soon costs more in the cloud than it did on your own servers. So before migration we decide what to rework and what to keep.
- 03
AI drafts, the budget owner decides
AI explains cost spikes and drafts changes, while the budget owner approves shutdowns and new commitments. If AI is wrong or down, the FinOps lead reviews the spikes, and budget alerts work as usual.
Project stages
- 2–3 weeks
Assessment
Every resource, its owner and the 20 largest cost lines.
- 4–6 weeks
Quick wins
Switching off what is unused, after checking nothing depends on it.
- 2 months
Cost rules
Budgets, alerts and a weekly look at cost spikes.
- 3–6 months
Architecture changes
Step by step, where quick wins run out.
- ongoing
Operations
A monthly review with the CFO and a 12‑month forecast.
Platforms and standards
AWS Cost Explorer · Azure Cost Management · Google Cloud Billing · Flexera One · Kubecost/OpenCost
Terraform · OpenTofu · Pulumi · AWS CloudFormation · Azure Bicep
Kubernetes · EKS · AKS · GKE · OpenShift · Karpenter
FinOps Framework · FOCUS · ISO/IEC 27001 · EU Data Act · DORA
Questions
How do we choose between AWS, Azure and GCP?
Core capabilities largely overlap. The choice comes down to data residency, the services you need, latency, licences and total cost.
Who should own FinOps on our side?
Often the DevOps lead, with 20–30% of their time, so no new hire is needed. Name them before buying a platform, since it saves nothing by itself.
When should we buy Savings Plans or reserved instances?
Once usage is stable and the commitment risk is assessed. Otherwise the discount may land on resources that should have been switched off.
Further reading
Let’s talk about your cloud spend
In thirty minutes we’ll see whether we can help and agree on the assessment format.