HPE Morpheus Software turns hybrid cloud complexity into control by unifying provisioning, automation, and governance across VMs, containers, and clouds. Organizations simplify operations, enable choice, and restore predictable economics with self-service and a path from virtualization management to private and hybrid cloud operations. For IT, unify provisioning, automation, and governance, reduce tool sprawl, and standardize lifecycle operations through one control plane. For Security, connect identity providers, apply role-based access controls, enforce policies, manage secrets, and maintain guardrails. For App-Dev, enable on-demand provisioning across runtimes and clouds through a self-service catalog, infrastructure as code, API/CLI access, and CI/CD pipelines. For Service Providers, deliver white-labelled private cloud and public cloud brokerage services, accelerate book-to-bill with automated provisioning, and support multi-tenant delivery with role-based access controls.

What is new supporting point:
The Orchestration Copilot transforms AI recommendations into automated, policy‑controlled workflows—planning, executing, and optimizing hybrid operations while keeping IT teams in control.
VM enhanced migration automates VMware-to-HVM hypervisor moves with built-in validation, driver injection, NFS targets, and API automation—reducing risk, downtime, and complexity.
SDN micro-segmentation (Zero Trust): Policy-driven micro-segmentation enforces least-privilege east–west traffic controls, enabling zero-trust security without external networking tools.
Stretched clusters with synchronous replication: Extends clusters across two sites with automated failover, delivering metro-scale high availability for mission-critical workloads
Visual workflow builder: Drag-and-drop interface for creating multi-step automation workflows, making enterprise automation accessible without scripting.
Memory overallocation for higher VM density: Oversubscribes physical memory to improve infrastructure efficiency and increase VM density for variable-demand workloads