Using intelligent autoscaling with application workload predictions, Federator.ai learns the capacity of each pod and scales the number of pods at the right time to meet the workload demands. The Applicaion-aware HPA provides a simple and cost-effective way for autoscaling application containers and achieving performance goals with the right number of resources.
Machine Learning-based HPA
Federator.ai’s automatic scaling of Kubernetes application containers is based on application-specific workload and KPI metrics. This achieves autoscaling according to real application workload with performance target in mind.
Red Hat has put countless hours into curating our partner ecosystem and this includes Cloud Cost Management companies to help our customers manage their day 2 operations and onward.
Companies like ProphetStor run on our Red Hat OpenShift Container Platform to provide performance, cost and efficiency management at the workload level.
Global Partner Solutions Architect, Red Hat