Cloud expenses have become an essential part of a company’s budget. Calculating unit economics including deep analysis of cloud costs is crucial to determine whether a current business model works and to define the ways to improve the financial health of an organization. OptScale helps overcome the challenges of tracking Kubernetes and traditional workloads to bring visibility to cloud cost metrics.
Infrastructure cost for unit economics calculation
Full cost transparency for AWS, MS Azure, GCP and Alibaba workloads
Simple unit economics for Kubernetes clusters
Calculating IT costs with one formula in Google or Excel spreadsheet
Businesses keep an eye on multiple metrics including the costs of IT infrastructure to calculate unit economics in order to control expenses. But it may be tricky for public cloud environments like AWS, MS Azure, GCP, Alibaba or Kubernetes clusters. OptScale offers a capability to consider cloud costs while defining business metrics for multiple applications in a straightforward way.
OptScale enables you to assign specific tags for all resources in your applications and monitor costs based on it. Our solution deals not only with the existing resources but also tracks the destroyed ones in a selected period of time. In addition, OptScale provides full cost visibility to a complex multi-cloud or a hybrid cloud environment.
Calculating unit economics for K8s environment is extremely difficult because you can’t map cloud cost on pods, namespaces, services and applications in your Kubernetes cluster.
With OptScale engineering teams obtain all necessary Kubernetes cost details to get accurate unit economics.
OptScale provides a capability of integrating cloud costs with your Google spreadsheet, MS Excel or Power BI. With one simple formula you can get OptScale pool expenses and insert them into a cell of a document.
A full description of OptScale as a FinOps and MLOps open source platform to optimize cloud workload performance and infrastructure cost. Cloud cost optimization, VM rightsizing, PaaS instrumentation, S3 duplicate finder, RI/SP usage, anomaly detection, + AI developer tools for optimal cloud utilization.
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Join our live demo on 25th October and discover how OptScale allows running ML/AI or any type of workload with optimal performance and infrastructure cost.