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Cloud Cost Optimization / FinOps

Cloud spend engineering teams can see, understand and actually control — not a monthly surprise on a finance dashboard.

The problem

Cloud cost usually isn't one big mistake — it's dozens of small, invisible ones: forgotten resources, unclaimed commitments, and architecture decisions made without cost in view. Fixing that requires visibility engineers actually use, not a finance report nobody reads.

Who it’s for

  • Companies whose cloud bill is growing faster than usage
  • Engineering teams with no visibility into what drives their cloud spend
  • Organizations ready to make cost an engineering responsibility, not just a finance one

What we do

  • Build cost visibility by service, team and environment through consistent tagging
  • Identify idle, oversized and orphaned resources
  • Right-size compute and storage against real usage data
  • Plan commitment-based discounts (reserved instances, savings plans) responsibly
  • Review architecture decisions that structurally drive cost

Technologies that may be involved

AWS Cost Explorer / GCP Billing / Azure Cost ManagementTagging and cost-allocation strategyTerraform-based rightsizingKubernetes resource governance

What the engagement looks like

01

Diagnose

Audit current spend, tagging coverage and the biggest unexplained cost drivers.

02

Design

Define a tagging standard and a prioritized list of savings opportunities.

03

Build

Implement rightsizing, cleanup and commitment planning.

04

Enable

Hand engineering teams the dashboards and ownership to keep cost in check.

Typical deliverables

  • Cost visibility dashboard by team and service
  • Tagging and allocation standard
  • Rightsizing and cleanup report
  • Commitment planning recommendation

What you own after delivery

  • The cost dashboards and underlying queries
  • A tagging standard your team can enforce going forward
  • Documented savings opportunities, implemented or queued

Next step

Tell us roughly what you're spending on cloud today and whether you can currently explain it.

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