The global cloud computing market is expected to increase exponentially, but the waste, at least 30% of spend, grows with cloud usage.
IT administrators cannot foresee the computing resource demands of applications, let alone plan and budget cloud infrastructure cost to meet business growth. As a result, allocating more resources than needed seems to be inevitable.
IT administrators cannot foresee the computing resource demands of applications, let alone plan and budget cloud infrastructure cost to meet business growth. As a result, allocating more resources than needed seems to be inevitable.
Federator.ai, a machine learning based solution, provides not only cost analysis of clusters or VMs for a smarter MultiCloud strategy but also optimized recommendations that help utilize resources based on workload predictions. Furthermore, it offers cost comparison among major public cloud service providers and make your cloud migrations much easier.
Cost Projection with Workload Predictions
ML-based predictive analytics provides a forecast for capacity and recommendations for the entire cluster or individual VM.
Operational Savings with Continuous Rightsizing
Utilize predictive analytics for application resource demands to achieve continuous rightsizing of the applications.
Migrate to Other Clouds
Facilitate cloud migration decision by means of immediate cost comparisons and cluster configuration recommendations from major public clouds.
Federator.ai can be easily installed on our Kubernetes clusters at Orange. Using Federator.ai, we now have the predictability of our workloads and clear visibility of the resource requirements for each of our applications.
Willem Berroubache
Cloud and Security Engineer at Orange
See How ProphetStor Helps Orange France
See How ProphetStor Helps Orange France
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