Our primary use case for Finout is centralized cloud cost governance, granular Kubernetes cost allocation down to the pod and namespace level, and merging our AWS infrastructure cost with third-party SaaS spending into a single pane of glass. We operate a multi-tenant AWS EKS environment where microservices share underlying EC2 node groups, and before Finout, AWS Cost Explorer would only give us a lump-sum bill for our EC2 instance, making it impossible to know how much individual product teams or specific clients were costing us. With Finout, we integrated our EKS metrics, allowing us to accurately attribute shared container cost by namespace. We even mapped our DataDog logging cost directly to those namespaces inside Finout. This gave us an exact, unified cost per tenant without tedious manual spreadsheet math.
Our main use case for Finout is centralized cloud cost governance, granular Kubernetes cost allocation down to pod and namespace level, and merging our AWS infrastructure cost with third-party SaaS spend like DataDog into a single pane of glass. We operate a multi-tenant AWS EKS environment where microservices share underlying EC2 node groups. Before Finout, AWS Cost Explorer would give us a lump sum bill for our EC2 instance, making it impossible to know how much individual product teams or specific clients were costing. With Finout, we integrated our EKS metrics, allowing us to accurately attribute shared container cost by namespace. Even better, we mapped our DataDog logging cost directly to those same microservices inside Finout. They gave us an exact, unified cost per tenant without tedious manual spreadsheet math.
Our use case is integrating cloud costs from a multi-cloud estate to have one pane of glass for cost visibility. We use it for reports, but there's also other functionality that we've liked using, such as anomaly alerts, looking at the asset inventory, and setting budgets for different cloud accounts.
Finout efficiently optimizes cloud cost management for tech-savvy users by transforming financial data into actionable insights.Finout provides comprehensive solutions for managing cloud costs. It delivers detailed cost transparency and optimized resource allocation, enabling you to effectively manage and interpret financial data. Its platform integrates seamlessly with existing systems, offering analytics and granular cost breakdowns to enhance budgeting and forecasting accuracy. Users gain...
Our primary use case for Finout is centralized cloud cost governance, granular Kubernetes cost allocation down to the pod and namespace level, and merging our AWS infrastructure cost with third-party SaaS spending into a single pane of glass. We operate a multi-tenant AWS EKS environment where microservices share underlying EC2 node groups, and before Finout, AWS Cost Explorer would only give us a lump-sum bill for our EC2 instance, making it impossible to know how much individual product teams or specific clients were costing us. With Finout, we integrated our EKS metrics, allowing us to accurately attribute shared container cost by namespace. We even mapped our DataDog logging cost directly to those namespaces inside Finout. This gave us an exact, unified cost per tenant without tedious manual spreadsheet math.
Our main use case for Finout is centralized cloud cost governance, granular Kubernetes cost allocation down to pod and namespace level, and merging our AWS infrastructure cost with third-party SaaS spend like DataDog into a single pane of glass. We operate a multi-tenant AWS EKS environment where microservices share underlying EC2 node groups. Before Finout, AWS Cost Explorer would give us a lump sum bill for our EC2 instance, making it impossible to know how much individual product teams or specific clients were costing. With Finout, we integrated our EKS metrics, allowing us to accurately attribute shared container cost by namespace. Even better, we mapped our DataDog logging cost directly to those same microservices inside Finout. They gave us an exact, unified cost per tenant without tedious manual spreadsheet math.
Our use case is integrating cloud costs from a multi-cloud estate to have one pane of glass for cost visibility. We use it for reports, but there's also other functionality that we've liked using, such as anomaly alerts, looking at the asset inventory, and setting budgets for different cloud accounts.