As organizations adopt new technologies to deliver scalable services faster and more reliably, continuous IT resource optimization and service assurance have become major challenges. Proactively plan, manage, and optimize on-premises, SaaS, and modern Kubernetes and containerized applications to keep pace with business demand. Deeper insight: Increase visibility into risk, efficiency, costs, and overall health and status for business services and applications with self-service and consolidated business service views, "what-if" simulations, and automated alerts Intelligence and automation: Automate optimization recommendations and actions based on AI-fueled insights and machine learning to ensure accurate right-sizing of resources through performance comparisons across on-premises and SaaS resources Modernization: Determine the optimum allocation of your Kubernetes Pods across multiple clouds and identify problems related to saturation or over allocation of resources to help right-size Pod workloads