5 Value Imperatives for How to Measure Virtual TCO in 2016

How we measure the financial implications of investments into virtual infrastructure will dramatically change during 2016. Where previously, you would only really measure the more traditional negatives, you can now fully understand where your server’s infrastructure is at its best capacity.

[easy-tweet tweet=”How do you determine the best virtual #TCO model in 2016? #cloud #cost” user=”comparethecloud”]

Here are five questions that you should ask yourself when trying to determine the best virtual TCO model in 2016:

Will the solution be suitable for your technology ethos?

My ideal set-up is one where I can see critical components in real time. This means that I have complete visibility over my entire infrastructure. If this type of system is similar to yours, you should aim to increase your time-to-resolution by at least 70%.

My ideal set-up is one where I can see critical components in real time

Can you trust your data?

A siloed system is incredibly reliable; you trust that it can perform in most circumstances. I know from personal experience that a legacy, siloed system has the capability to perform in any situation.

These days systems and infrastructures are so dynamic that there are things constantly changing on the fly. You need to know that your system can cope with these rapid changes while still performing to a high level.

What are the benefits of your investments in performance visibility?

It’s imperative that your virtual infrastructure gives you an advantage over your competitors. However, you can spend as much as you like improving the infrastructure of the system but if you don’t correctly sort the wheat from the chaff, you will find yourself running an inefficient system.

You need to ensure that you identify any redundant apps as well as any applications which aren’t performing to their maximum potential. The benefits of an efficient system are obvious to any large-scale IT operation.

[easy-tweet tweet=”Identify redundant #apps and apps not performing to their maximum potential says @AtchisonFrazer”]

Do your data analytics identify the correct problem?

The relationship between identifying slow performance through data analytics and real-time machine-learned recommendations needs to be cohesive and rewarding. Some of the major benefits from strong analytics include increased revenue, productivity, access as well as a decrease in overall man-hours.

Can you properly identify every financial benefit?

Properly identifying dollar benefits that aren’t just e-commerce QoS responsiveness or SaaS availability can sometimes seem like the Neverending Story, it can be difficult to do as well as being incredibly time consuming.

Some of the key things to watch out for in order to avoid any revenue leakage are poor performance, customer experience, productivity enhancements, workload volume and easy to achieve SLA commitments.

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