Server virtualization includes a range of technologies that abstract an underlying infrastructure layer (networking, storage and compute [including memory]). In doing so, it improves hardware utilization, workload portability, automation and availability. Server virtualization is most often associated with hypervisor-based server workloads running in data center environments on industry-standard servers. In reality, server virtualization incorporates multiple technologies, spans locations from public cloud to edge, and supports initiatives for both cloud-native transformation and infrastructure modernization. It includes hardware-, cloud- and software-based technologies.
Gartner defines strategic cloud platform services (SCPS) as standardized, automated, public cloud offerings integrating infrastructure services (e.g., computing, network and storage), platform services (e.g., application, data and value-added services such as AI/ML) and transformation services (resources to help customers adopt cloud-oriented IT delivery models). Although owned by the service provider, infrastructure and platform services may be hosted in providers’ infrastructures or customers’ data centers. Services should be elastically scalable, metered by use, and consumable via web-based interfaces and programmable APIs. Transformation programs may be delivered by automated, self-service interfaces, and managed interactions facilitated by account teams/partners.