Over-provisioned computing resources and the deployment of the incorrect number and/or size of VMs and/or pods are two common issues in a cloud-native environment. Federator.ai addresses these problems by orchestrating resources in multi-cloud environments. As shown in the Figure, Federator.ai optimizes costs for both Day-1 deployment and Day-2 operations. It utilizes metrics stored on Prometheus, collected by OpenShift, to predict resource consumption dynamically and recommends the right amount of resources for pods, providing a 20 – 70% reduction of wasted resources for a typical workload, as well as preventing under-provisioning of resources for mission-critical workloads. Users can stack up the predicted pod resources to determine the right number and size of VMs to deploy and enable the automatic execution of these recommendations.