New software helps companies control cloud spending

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The speed at which companies have adopted cloud services has led in many cases to difficulties understanding and controlling the costs involved.

Enterprise cloud management company RightScale has a solution to this issue with a new stand-alone collaborative cloud cost management and optimization solution.

RightScale Optima delivers cost-saving recommendations to the appropriate resource owners, enabling them to take automated actions, and tracking optimization progress across the entire organization.

“RightScale Optima is the first cloud expense solution designed as a collaborative platform that integrates cost-saving recommendations and automated action with extensive cost reporting to help enterprises ensure that they can realize savings opportunities,” says Michael Crandell, CEO of RightScale. “Our decade of experience with multi-cloud management and automation has enabled us to design a unique solution to streamline and automate cloud cost optimization.”

As we reported last year, RightScale’s own research shows that more than 30 percent of cloud spend is wasted due to inefficiency. Optima provides a fast return on investment with smart cost optimization recommendations across clouds and cloud accounts that identify instant savings opportunities for each resource and team across the enterprise.

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It automatically assigns optimization recommendations to resource owners and delivers tailored alerts and reports. Users can further refine things by tagging recommendations that should be ignored to prevent future alerts. Recommendations can be executed at the push of a button, and the software makes it easy to track progress on implementing optimization recommendations at the team or enterprise level.

Optima is currently in early access. It will be available as a stand alone product and will also be included as part of the RightScale Universal Cloud Management Platform. You can find out more on the company’s website.

Photo Credit: Andy Dean Photography/Shutterstock

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