IBM® Turbonomic ® manages, automates, and continuously optimizes IT resources in real-time at lowest possible cost across on-premises and multi-cloud environments. It assures application performance with automated resource optimzation by dynamically allocating the exact resources demanded by the application across public, private, and hybrid cloud environments, eliminating the need for under or over provisioning of resources to meet the businesses need with IT. IBM Turbonomic diagnoses resource congestion, either from underprovisioning or overprovisioning, and dynamically adjusts Kubernetes and VMware environments in real-time from AI-driven insights. It plugs into industry landing APM solutions to ensure uninterrupted application performance by optimizing application resources to meet demand. IBM Turbonomic can support organization’s sustainability objectives across hybrid, multi-cloud environments by: • Scaling or rightsizing VMs or containers for efficient resource usage, reducing overall power consumption. • Migrating workloads to the cloud using renewable energy sources, optimizing energy use. IBM Turbonomic use cases are Application Performance Management, GPU Optimization, Data Center Optimization, VMware Optimization, Kubernetes Optimization. IBM Turbonomic leverages AI actionable insights for IT resourcing decisions and real-time automation in intelligent sizing, continuous application and workload placement without disruptions, dynamic scaling. It ensures cloud and data center optimization deliver immediate results across public, private, hybrid, and multi-cloud environments, in achieving continuous performance, optimizing business spend, reducing human intervention, and achieving sustainable IT goals.