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Cloud FinOps & Cost Optimization

Cloud FinOps & Infrastructure Cost Optimization

Cut cloud spend without cutting capacity — cost allocation, commitment planning, and autoscaling sized to your actual usage.

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Cut cloud spend without cutting capacity. We build cost visibility down to the team or service that owns it, then act on what the data actually shows — right-sizing, commitment purchases, and autoscaling policy — rather than an across-the-board budget cut that just moves the pain around.

Cloud FinOps pipeline diagram: cloud billing data feeds cost allocation by tag or account, which feeds anomaly and budget alerts, which drive rightsizing, commitment, and autoscaling actions.
Illustrative cost-optimization loop — the specific levers depend on your actual spend breakdown.

Who this is for

Teams whose cloud bill has grown faster than they can explain, who can’t attribute spend to a specific team or product, or who suspect they’re over-provisioned but don’t have the data to prove it (or decide what to do about it).

Expected outcomes

Cost broken down by team, service, or environment — not just a single opaque monthly total — with anomalies and budget overruns surfaced before the invoice arrives, and concrete, prioritized optimization actions instead of a generic “turn things off” recommendation.

Scope & deliverables

We start with cost allocation: tagging, account structure, and showback/chargeback so spend is attributable. From there we look for the highest-leverage actions available to you specifically — committed-use discounts where usage is predictable, autoscaling and right-sizing where it’s not, and we’ll tell you plainly when a resource is already efficiently sized rather than manufacture a recommendation.

Our approach

Discovery starts with your actual billing data and current tagging/account structure, not a generic cloud cost checklist. We identify the highest-spend, lowest-confidence areas first, propose specific changes with their estimated impact, and implement with your team rather than hand over a slide deck of generic advice.

Client responsibilities & exclusions

You’ll need to grant read access to billing and usage data (and the relevant infrastructure for right-sizing work) and have someone who can authorize committed-use purchases, since those are financial commitments we can recommend but not make on your behalf. This engagement delivers visibility and a prioritized action plan; implementing every action is scoped separately if you want us to execute rather than advise.

Related: AI Infrastructure & Token Cost Reduction, Infrastructure as Code & Golden Images

FAQs

Will this definitely reduce our bill? We won't promise a number before seeing your actual usage — some environments are already well-optimized, in which case we'll say so rather than invent savings.

Do you need production access to do this? Cost allocation and analysis only need billing/usage data access. Right-sizing or autoscaling changes need the relevant infrastructure access, scoped to what's being changed.

Key Deliverables

  • Cost allocation and showback/chargeback by team or service
  • Committed-use/reserved capacity planning
  • Autoscaling and right-sizing (Karpenter and equivalents)

Ready to talk architecture?

Request a technical discovery call with our engineering team.

Request Discovery Call