Maximize the ROI of Your Virtual Infrastructure

Using our Economic Scheduling Engine, VMTurbo delivers optimal workload placement and resource allocation in real time, resulting in:

• High infrastructure utilization
• Support for multiple QoS levels
• Best return on virtual infrastructure

There are four primary sources of savings:

1. Server & Storage cost reduction due to improved resource utilization
2. Software license cost reduction due to elimination of physical & virtual infrastructure sprawl
3. Infrastructure cost savings due to lower electricity, A/C, floor space, and rack space costs
4. Lower support/personnel costs through automation of tasks associated with incident/problem management, capacity planning, optimization and stakeholder reporting

And, there are two principal savings scenarios:

1. First, savings associated with consolidation of today’s environment, achieved through an improved workload balancing, server decommissioning, and storage recovery; and
2. Cost avoidance in a growth scenario, due to the improved cost curve.

Examples from the field

The VMTurbo Virtualization Management Suite became commercially available in 2010, and thousands of customers worldwide have started to put VMTurbo into production and share preliminary results:

Global Financial Services Company

• Saved 10TB of storage recovered by removing dormant files & dormant virtual machines
• Deferred capital expenditures by at least 6 months by better balancing of VMs across clusters and identifying areas of server and storage over-provisioning
• Saved 300 hours of effort per month producing reports in response to incidents and in support of capacity planning

Consumer Healthcare Company

• Saved 2 TB of storage by removing dormant files & virtual machines
• Identified 20% of ESX servers that could be removed by consolidating workloads, postponing additional capital expenditures

Global Media Company

• Identified 20% savings in hardware by running “what if” scenarios to determine the outcome of consolidating VDI & server clusters

International Retailer

• Identified potential for 25% server consolidation in their virtual environment by running “what if” scenarios to re-balance workloads across clusters  
• Saved 70 hours of effort per month in report generation in response to requests from service desk and application owners

National Wholesaler

• Identified that hundreds of new VMs running on 10 ESX servers (as part of an acquisition) could be consolidated onto existing servers

International Managed Service Provider

• Identified several client environments, each with several TBs of storage resources that could be immediately recovered
• Identified significant data center space and power savings that could be achieved by modeling the impact of consolidating existing workloads onto new blade servers
• Saved significant manpower in incident management by demonstrating to clients that over-provisioning of VMs was the cause of performance issues