Cloud cost attribution — Crawl to Run
Every dollar of cloud spend — attributed to the team that burned it
FinOpsVyn maps your AWS Cost and Usage Report and GCP Billing Export line items to the engineering team, microservice, and feature that owns them. Zombie EBS volumes, unattached EIPs, and over-provisioned EC2 instances surface before the month-end bill surprises the CFO.
The problem
Your cloud bill tells you what. Not who.
CUR shows what. Not who.
Cost Explorer and your billing console break spend by service and account. Neither breaks it by team. When the Payments squad's EC2 fleet doubles, nobody knows until cost allocation is done by hand in a spreadsheet.
Anomalies compound for 30 days
A misconfigured EBS volume snapshot policy or an idle RDS instance left running compounds silently. By the time the bill closes, the overspend is already two approval cycles in the past.
Showback without chargeback changes nothing
Finance builds a cost allocation spreadsheet. It lands in a shared drive. Engineers never open it — and even when they do, the data is 6 weeks old and untraceable to the services they actually ship.
How FinOpsVyn works
Attribution that reaches the team level
FinOpsVyn ingests your Cost and Usage Report (CUR) from S3 and GCP Billing Export from BigQuery, enriches each line item with tag data and a resource ownership graph built from Terraform state and GitHub CODEOWNERS, then rolls up amortized spend by team, service, and feature — continuously. Engineers see their squad's allocated cost. Finance sees full showback accountability without building a spreadsheet.
FinOpsVyn does not modify your infrastructure. All access is read-only.
See the product
Use cases
Built for the way platform engineering actually works
AWS CUR line-item attribution to team and microservice — with amortized Reserved Instance costs distributed by owner
GCP Billing Export attribution by project and label — with Committed Use Discount (CUD) utilization analysis per team
Zombie resource detection — detached EBS volumes, unattached EIPs, idle load balancers — each surfaced with an owner
Kubernetes pod and namespace cost allocation — EKS and GKE node spend divided by CPU/memory requests per squad
What engineering teams say
Teams that switched from guessing to knowing
We had 14 AWS accounts and nobody could tell me which team was responsible for the $380K RDS line item. FinOpsVyn mapped it back to the analytics team's staging environment within 48 hours of setup. We decommissioned three idle db.r6g.xlarge instances the same week.
VP of Engineering, B2B data platform (AWS spend ~$2.4M/year)
Our previous process was a monthly Athena query someone ran against the CUR and a spreadsheet that finance translated into team buckets. FinOpsVyn replaced that entire workflow — now the on-call engineers get a Slack message on Tuesday morning with their squad's top-5 cost drivers for the week.
Director of Cloud Infrastructure, growing SaaS company
Stop reconciling the bill. Start owning it.
Connect your CUR or GCP Billing Export. Attribution goes live within 24 hours. We onboard new teams weekly — no agents, no infrastructure changes.
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