FINOPS SERVICES
FinOps governance and cloud cost management
Our FinOps practice connects cloud costs to workloads and owners, then helps engineering and finance prioritise rightsizing, commitments and ongoing cost controls.
- Cost visibility engineers see in their own workflow, not a monthly autopsy
- Rightsizing and commitments sequenced so you never pre-pay for waste
- Unit economics that judge spend against value, not just its own trend
Not all savings are equal.
We work the levers in order of impact and effort, so early wins fund the deeper work. FinOps is one half of Cloud Optimization; Sustainability is the other, and the two share the same efficiency levers. For AI and model workloads, the same discipline runs through AI FinOps. Sequencing matters. Locking in commitments before you have rightsized is how teams pre-pay for waste. We fix the shape of demand first, then commit.
Visibility and allocation
Tagging, cost allocation, and showback make spend legible by team and product. You cannot manage what you cannot see.
Rightsizing
Match resources to actual demand, and retire the overprovisioning that quietly compounds. The fastest savings with the least risk.
Elimination
Kill idle and orphaned resources: unattached storage, zombie environments, forgotten load balancers. Waste with no return goes first.
Commitment strategy
Reserved instances, savings plans, and committed-use discounts sized to real baseline usage. Safe once the baseline is known, not guesswork.
Architectural efficiency
Serverless, autoscaling, storage tiering, and data-transfer redesign for the workloads that justify it. The problem is design, not just configuration.
Unit economics
Cost per customer, per transaction, per feature, so spend is judged against value. Value, not just the trend of the bill.
Make cost a real-time engineering signal, not a monthly autopsy.
The right first move depends on where the waste is hiding.
A FinOps rhythm your teams can sustain.
Anomaly alerts
Cost anomaly detection that surfaces spikes when they happen, not weeks later.
Budget guardrails
Guardrails in the pipeline, so the right cost choice is visible at the moment it is made.
Optimization cadence
A regular review rhythm that keeps rightsizing and commitments current as demand shifts.
Shared accountability
Engineering and finance own cost together, judged against value delivered.
We install the operating rhythm that keeps it working, so cost becomes a metric teams watch alongside latency and reliability, coordinated with the reliability spend managed through SRE and Managed Cloud.
Connect cloud spending to business activity.
**Spend ownership.** Assign costs to services and accountable teams, with unattributed spend visible.
**Unit economics.** Track cost per useful business unit alongside service quality and demand.
**Verified savings.** Compare implemented changes against a baseline and check that savings persist over time.
From a monthly autopsy to spend teams control in the moment.
Challenge: Datium Insights saw cloud bills climbing faster than usage, with no tagging and no view of what teams spent.
Result: [XX%] lower monthly spend, [XX%] of resources sized and tagged, and unit-cost visibility mapped to product. (Softobiz to verify.)
Two halves of the same efficiency picture.
Sustainable and Green Software Engineering
The other half of Cloud Optimization, sharing the same efficiency levers.
Cloud Optimization
The parent practice where cost and sustainability discipline come together.
AI FinOps
The same cost discipline applied to model training, inference, and token spend.
SRE and Managed Cloud
Reliability spend managed alongside cost, so the two move together.
Cloud Strategy and Migration
Cost discipline shapes the business case behind every migration.
Cloud and Platform Engineering
The practice this service rolls up to.
What finance and engineering leaders ask us first.
No. It is about spending deliberately. Sometimes the right answer is to spend more on a workload that drives revenue, with eyes open, rather than blindly cut.
Not to start. We install the practices and tooling, then help you decide what to keep in-house versus run with us over time.
The opposite. Good FinOps gives engineers cost feedback in their own workflow, so the right choice is visible at the moment they make it.
Find where your spend and your value have drifted apart, and close the gap.
Visibility, rightsizing, commitments, and unit economics installed as an operating habit, not a one-time cleanup.