VKernel provides powerful, easy to use and low cost Capacity Management products for VMware and Microsoft virtualized infrastructures. Our products simplify the complex and critical tasks of planning, monitoring and predicting capacity utilization and performance bottlenecks. Used by over 50,000 system administrators, the products have proven their ability to maximize capacity utilization, reduce virtualization costs and improve application performance.
Virtualization has significantly increased the level of complexity and demands of capacity management on system administrators. Applications now compete for shared, dynamic infrastructure resources. The task of planning, monitoring and predicting capacity utilization and performance bottlenecks is critical to achieving cost effective virtualization and ensuring application performance. Capacity Management is a core component of any virtualization or cloud initiative.
VKernel’s unique capability of automatically profiling application workloads and modeling capacity across all infrastructure layers provides the insight required to effectively analyze capacity requirements and performance bottlenecks within virtualized environments. This capability combined with the ease of use and immediate value are what make VKernel's the Capacity Management products of choice for busy system administrators.
Each core product is built on VKernel’s Capacity Analytics Engine. By simply connecting to VMware’s vCenter and Microsoft’s Systems Center, the Capacity Analytics Engine automates the complex task of profiling application workloads and modeling the infrastructure capacity across all resources (storage and sever) and all layers of the of the virtual infrastructure (host, resource, cluster and data center). The VKernel products analyze this information real time and over time to help plan, monitor and predict capacity utilization and performance bottlenecks. Packaged as a single virtual appliance containing all core applications, VKernel products are easy to install and provide value within minutes.