Bill analysis
Break down spend by service, account, region, team, application or environment where data allows.
CLOUD & KUBERNETES FINOPS
Cloud cost optimization starts by knowing what you pay for, who owns it and what can change safely.
We do not start by switching resources off at random. We connect usage to architecture, teams and applications so costs can be optimised without putting production at risk.
THE PROBLEM
The bill shows what you pay. It does not always explain what caused it.
Oversized machines, unused disks, old snapshots, always-on environments and poorly set Kubernetes resources accumulate. Without tags and owners, every recommendation becomes “can we turn this off?”.
WHEN TEAMS CALL US
Spend often reveals an organisational problem first.
The bill rises while traffic stays flat.
Nobody knows who created certain resources.
Kubernetes reserves far more CPU than it uses.
Non-production environments run all day.
Cost is reviewed after the invoice arrives.
Recommendations exist, but nobody can prioritise them.
WHAT WE DO
First make spend visible. Then decide what is worth changing.
FinOps means understanding what infrastructure costs, why it costs that amount and what can change without harming service.
Inventory and ownership
Connect resources to owners and find those with no clear responsibility.
Tagging
Define simple tags for product, environment, cost centre and owner.
Rightsizing
Compare provisioned capacity and use to find oversized or constrained resources.
Kubernetes
Review requests, limits, node capacity, autoscaling and idle reservations.
Storage and data
Analyse disks, snapshots, storage tiers, databases and retention.
Usage commitments
Assess reservations or Savings Plans where demand is stable.
Budgets and alerts
Create thresholds that reveal spend changes before month end.
FinOps
Understanding and controlling cloud spend without harming the service.
Rightsizing
Matching a resource size to the capacity it actually needs.
Requests and limits
The capacity Kubernetes reserves and caps for each workload.
SAVING IS NOT THE ONLY GOAL
The goal is not minimum spend. It is paying for the capacity you actually need.
A smaller database may save money and damage the service. Every change must consider demand, peaks, growth and operational risk.
Visible spend
Bills, accounts, tags, owners and trends.
Capacity
Machines, databases, nodes, requests, limits and autoscaling.
Forgotten resources
Disks, snapshots, addresses, load balancers and idle environments.
Continuous control
Budgets, alerts, reports and recorded decisions.
STAGECOST→
STAGEUNDERSTAND→
STAGEOWN→
STAGEOPTIMIZE→
STAGEMEASURE
Improvement lasts when every cost has context, an owner and follow-up measurement.
HOW WE WORK
We do not begin by deleting resources. We begin by checking who needs them.
Collect
Consolidate bills, metrics, tags and configuration.
Explain
Connect the main costs to services and teams.
Prioritise
Order actions by impact, effort and risk.
Apply
Execute agreed changes with traceability.
Measure
Check cost and behaviour after each change.
WHAT THE CLIENT RECEIVES
An explanation of spend and a decision list, not just another chart.
We do not promise a generic percentage. We leave evidence for reviewing every recommendation.
- Current spend breakdown.
- Resource and ownership inventory.
- Prioritised opportunities with risk and effort.
- Tagging policy.
- Budget and alert configuration.
- Report and recurring review process.
WHEN IT MAKES SENSE
When cost is no longer explainable or predictable.
- The bill grows without a clear cause.
- You cannot attribute spend to products or teams.
- Kubernetes looks expensive and capacity is unclear.
- You want to review commitments before reserving spend.
- You need an ongoing process, not a one-off cleanup.
OUTCOME
Cloud costs you can explain and control.
- Attributable spend.
- Visible unused resources.
- Capacity that better matches demand.
- Alerts before the monthly surprise.
- Documented cost decisions.
CLOUD & KUBERNETES FINOPS
Can you explain why your cloud bill costs what it does?
We can review billing, use and configuration to separate real opportunities from recommendations that would add service risk.