Release: VMTurbo Performance and Efficiency Reporter

Posted by Claudio Criscione   |   Friday, May 6th, 2011   |  

VMTurbo announces the release of a new product, VMTurbo Performance and Efficiency Reporter, which joins VMTurbo Monitoring to build a complete solution for the virtualized data center, focusing on VMware technologies.
Available for free, Performance and Efficiency Reporter enables real time, fine grained analysis of resources consumption both for physical and virtualized hosts.
As the name of the product suggests, the information gained covers two different categories.

Performance Reports
The Host/VM Utilization Heat Map contains utilization indexes (UI) for both physical hosts as well as virtual machines. This data enables both an “at-a-glance” indicator of workload as well as useful information for provisioning.

Host Top CPU Ready Queue provides a detailed breakdown of the metric surrounding CPU ready states. Comparing the physical host wait times with the virtual machines wait times (for each multiple of vCPUs), the report provides insights into how either a re-allocation of vCPUs or the re-location of a VM would impact this raw performance metric.

Storage Access IOPS delivers information useful to evaluate the suitability of the datastore against the applied workload and potentially make a better allocation.

Efficiency Reports

VM Over/Under Provisioning looks at the resources consumed (taking into account historical peaks) to make meaningful recommendations as to right-provisioning.

Storage Wasted Allocations provides immediate visibility into data stored on the managed drives that is not associated with any VM. With this ranked data, users can quickly free up potentially vast amounts of unused storage at a considerable cost saving.

Storage Allocated to Dormant VMs both identifies dormant VMs and enables the reclamation of their disc space. This can yield significant cost savings through resource reclamation and the ability to subsequently host additional VMs on the same hardware.

VM Rightsizing Recommendation is based on configurable thresholds as well as analysis of specific time ranges for each VM to make intelligent configuration recommendations based on the actual resource demands of the VM.



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