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See how TSO Logic
simplifies IT transformation.

Our software platforms remove the guesswork so you can now plan with confidence.

What is the True Cost Of Virtualization?

Posted in: In the news

Published by: VMblog.com

Posted by: VMblog.com
Article written by: Aaron Rallo, founder and CEO of TSO Logic

The terminology itself implies that everything related to virtualization – including its costs – is virtual, not real. And because they are easy to deploy, many have considered VMs to be a “free” alternative to physical machines. But in reality, virtual machines carry a broad array of capital and operating expenses, starting with the acquisition of physical servers needed to support them down to the cost of licenses and supporting storage infrastructure. To get a handle on the true costs, it’s important for you to have a complete understanding of the hardware and software resources required to deliver applications.

Start with the basics.

Measuring VM host density can go a long way towards determining the cost of compute, in both on-premise and cloud environments. But until recently, the lack of good, solid data has made it difficult to know what density levels could be tolerated without impacting end users. Routinely, IT organizations deploy compute without ever looking at how it is used or even if it is actually being used at all. By leveraging intelligence from an analytical engine that ties compute back to applications and their owners, you can measure the cost per application alongside utilization levels to ensure you not only have cost visibility, but can also see where there’s waste. From here, you can effectively optimize application delivery, while meeting service level agreements and decreasing costs.

Key measurements reveal the true costs.

As virtual environments grow, they become more difficult to measure and manage. Diving in to get relevant data means you have to dig through old sources, talk to developers who may no longer be around, and try to piece things together. To move away from these manual processes, an analytics and BI layer can be used to discover applications, compute, and utilization levels while also making recommended/automated actions. Once you have visibility, key cost metrics can be determined, including: What is the cost of a guest? How does that cost change based on hardware type? What are the costs per active vs. idle guests? Are there zombie VMs that we can remove or run in less expensive environments? These are all pieces of data to consider when transforming your data center or moving to the cloud.

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