CloudPhysics

CloudPhysics is a SaaS-based data analytics and monitoring platform for virtualized and cloud infrastructure, focused on VMware-centric environments and hybrid cloud planning.

• Cloud-based analytics platform for VMware vSphere and virtualized datacenter assessment (infrastructure analytics).
• Workload right-sizing, capacity planning, and cost modeling for on-premises (on-prem) and public cloud environments (cloud cost and capacity management).
• Discovery and inventory of virtual machines, hosts, clusters, and storage with configuration and performance telemetry (IT asset and performance visibility).
• Pre-migration planning and risk analysis for cloud and datacenter modernization projects (cloud migration planning).
• Self-service assessments for partners, resellers, and enterprises to evaluate optimization, consolidation, and cost-saving opportunities (IT optimization services enablement).

More About CloudPhysics

CloudPhysics provides a cloud-hosted analytics and monitoring platform used by enterprises, service providers, and technology partners to evaluate and manage virtualized infrastructure, especially VMware vSphere-based environments. The platform collects configuration, performance, and utilization data from hypervisors and virtual machines, then processes that data in a multi-tenant Software-as-a-Service (SaaS) environment to generate insights for capacity planning, right-sizing, and cloud migration analysis.

The architecture typically involves lightweight collectors or virtual appliances deployed inside the customer environment to gather vSphere and related metadata via VMware APIs and management interfaces. Data is securely transmitted to the CloudPhysics SaaS back end, where it is aggregated and analyzed. Users access the service through a web portal that presents dashboards, reports, and scenario models covering compute, memory, storage, and network utilization, as well as configuration details such as hosts, clusters, datastores, and Virtual Machine (VM) attributes.

CloudPhysics is often used in enterprise IT planning cycles, including hardware refresh, datacenter consolidation, and hybrid cloud adoption. By providing normalized datasets and scenario modeling around workload placement, the platform helps organizations compare on-prem configurations with target environments in public clouds or hosted infrastructure. This positions CloudPhysics in marketplace categories such as infrastructure analytics, capacity management, and cloud migration planning.

From a technology standpoint, CloudPhysics relies on virtualization management frameworks such as VMware vSphere and associated management APIs, and it focuses on telemetry related to Central Processing Unit (CPU), memory, I/O, storage latency, and capacity utilization. The service typically exposes prebuilt reports and interactive analysis tools that help users identify underutilized or constrained resources, over-provisioned virtual machines, and potential configuration risks. This information can be used to inform decisions on right-sizing Vulnerability Management System (VMS), reclaiming unused resources, and planning for future capacity needs.

CloudPhysics also supports partner and channel use cases, where system integrators, service providers, and resellers run standardized assessments in customer environments. These assessments often underpin proposals for infrastructure optimization, cloud migration, or managed services offerings. In this context, CloudPhysics functions as an assessment and planning platform that produces documented findings and cost models which can be incorporated into enterprise business cases and procurement processes.

Within an enterprise technology directory, CloudPhysics aligns with categories such as infrastructure monitoring and analytics, cloud cost and capacity management, and cloud migration planning tools. It is relevant to roles including infrastructure architects, virtualization administrators, capacity planners, and consultants who require detailed, telemetry-driven insight into VMware-based datacenters and prospective hybrid or multi-cloud deployments.