![Mark K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mark K.")
MK

Mark K.

Senior Director IT

Mid-Market (51-1000 emp.)

5/31/2019

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"Turbonomics Ability To Scale Up And Down On Demand Allows For Maximum Cost Efficiency"

5/5

What do you like best about IBM Turbonomic?

Turbonomic provides insight and recommendations into our Azure cloud configurations designed to allow optimum efficiency and cost. By analyzing the load on demand, the product can sense when more resources are needed as well as when resources are being wasted.

In the first month, we ran this as a POC. It saved us over 5k a month in costs by implementing its recommendations. The product continues to save us money but constantly updating its pricing files from Azure with current promotions and regional costs. Review collected by and hosted on G2.com.

What do you dislike about IBM Turbonomic?

More Azure features are needed. They started with AWS and are now ramping up Azure features.

We would like to see more visibility into reserved instances in Azure. Review collected by and hosted on G2.com.

Recommendations to others considering IBM Turbonomic:

Make sure you do a POC first so you can see the benefits this product will bring. Review collected by and hosted on G2.com.

What problems is IBM Turbonomic solving and how is that benefiting you?

Its ability to scale up and down on demand allows for maximum cost efficiency. By dynamically analyzing our loads, the product can sense if resources need to be adjusted. It can also tell if another configuration of the same power would be cheaper in another region. Review collected by and hosted on G2.com.

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4.4 out of 5 · Verified reviews from real users

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