Recent updates have simplified the process of identifying and optimizing underutilized workloads in Kubernetes clusters, introducing improvements such as an enhanced Optimization Summary email and a new Optimization Policy Wizard. The automated Cluster Optimization Summary report now provides insights into potential savings, node group right-sizing, and namespaces lacking optimization policies, with details on estimated monthly savings and resource usage. An example highlighted a cluster with a potential $407 monthly savings by reducing nodes by 67% despite having no policy coverage. The new Optimization Policy Wizard allows users to efficiently apply policies across multiple workloads by grouping them via criteria such as cluster, namespace, or label, reducing the need for manual policy assignments. Users can access these tools through their dashboard to streamline and scale optimization efforts.