Globberry Capacity Management vs Virtana VirtualWisdom

Globberry Capacity Management monitors infrastructure resources and helps organizations plan future needs. AI-driven models forecast demand, while what-if analysis examines capacity requirements and network expansion scenarios. One interface covers compute, storage, network, licenses, and application resources across network functions, telco and IT cloud, VNFs/CNFs, and storage. Named environments include OpenStack, OpenShift, and VMware. Usage can be viewed by region, datacenter, cluster, or server. Customizable dashboards and KPIs present usage, capacity, and expected demand. Real-time and scheduled reports, plus configurable alerts, highlight shortages and capacity risks. The product connects with existing monitoring and management tools and integrates with Globberry’s Network Planning solution. It is built on the Pangolin platform, which provides customizable interfaces and data modeling. Globberry lists consulting, deployment and integration support, and ongoing assistance. Listed use cases include cost control, workload balancing, and resource-allocation decisions for telecom providers and large enterprises. Pricing is available on request.

Virtana VirtualWisdom provides capacity management for infrastructure monitored with VirtualWisdom, aimed at organizations running hybrid environments and mission-critical workloads. It uses workload behavior to forecast capacity across services, track utilization across resource pools, and estimate when capacity thresholds may be reached. Users can configure capacity alarms and combine them with health and performance information in app-centric dashboards. Listed infrastructure integrations include physical Linux and Windows, VMware, Hyper-V, IBM Power VM, KVM, Nutanix AHV, and Kubernetes; ecosystem integrations include ServiceNow, Slack, AppDynamics, and Dynatrace. Capacity management is included with the monitoring license at no extra charge, while licensing also uses a base license and Wisdom Pack add-ons. The base license may be perpetual, subscription, or evaluation. Pricing is on request, and a trial is available for up to 30 days. The described trial uses an OVA deployed with VMware vSphere and lists requirements of 8 vCPUs, 32 GB memory, and 315 GB disk. VirtualWisdom is on-premises, with web, Linux, and API platforms listed.