VirtualWisdomVirtual Server ProbeVM

Optimize VMware ESX/ESXi I/O Utilization

VirtualWisdom Virtual Server ProbeVM is a virtual software probe that collects performance and utilization data from VMware ESX virtual machines, physical servers and clusters. Virtual Server ProbeVM collects status of CPU, memory, SAN and LAN I/O utilization from each virtual machine, physical server and cluster managed by a VMware vCenter. Virtual Server ProbeVM calculates the throughput (in MB per second) for each HBA port and the percentage of utilization based on link speed. The VirtualWisdom Server correlates data from Virtual Server Probe with metrics gathered by SAN Availability Probe and VirtualWisdom SAN Performance Probe to build a complete picture of I/O for each virtual machine or physical server. A single VirtualWisdom Server can handle data from multiple VMware Virtual Centers simultaneously. VirtualWisdom Virtual Server ProbeVM Virtual Server Probe collects information specifically about the utilization and performance of virtual machines within the VMware environment via the VMware vCenter server API. VirtualWisdom is the perfect complement to vCenter as it correlates the vCenter information from Virtual Server Probe in real-time with actual I/O performance data measured by the SAN Performance Probe directly from the SAN infrastructure. Actual measured data from VirtualWisdom enables IT managers to proactively balance the provisioning of applications on virtual machines for maximum application performance with the confidence that systems will not slow down or fail. This high level of virtual I/O visibility makes risk-mitigated optimization and ESX server performance modeling possible, enabling mission-critical deployment of virtualized applications possible by verifying Service Level Agreement (SLA) metrics in real-time.


  • Accelerates the deployment and reduces the risk of implementing virtualized I/O-intensive business-critical applications such as Oracle, SAP, DB2, SQL, and Exchange
  • Reduces time spent on problem resolution with early detection of I/O performance bottlenecks and transmission faults
  • Lowers overall downtime by generating predictive data on potential virtual infrastructure problems
  • Improves virtualized application performance by enabling administrators to optimally balance virtualized workloads based on I/O response time and utilization data, not just CPU and memory utilization
  • Lowers overall operating expenses and capital expenses through ESX server modeling and higher utilization of existing server/SAN assets