TORONTO – September 5, 2017 – Densify today announced that it has been awarded a prestigious Best of VMworld 2017 Gold Award. This award recognizes products and services designed to monitor, track and manage workloads either in cloud environments or on-premise, as well as enable migration of workloads across cloud platforms. The award judges highlighted Densify’s use of machine learning analytics to deliver lower cloud costs and better resource utilization.
Densify is an analytics service that combines the industry’s #1 optimization engine with a Densification Advisor™, an infrastructure optimization expert. Delivered as a service, Densify eliminates the need to learn, operate, manage and maintain the software so that organizations get all the benefits of advanced optimization analytics without the typical burden. Densify’s predictive and real-time optimization capabilities enable organizations to reduce cloud and infrastructure costs while also improving application performance.
“We are honored to receive recognition this year as a Best of VMworld Gold winner for Workload Management and Migration,” said Gerry Smith, CEO of Densify. “This win validates Densify’s value to organizations in optimizing their infrastructure for them – no matter where it’s located. It’s a privilege to be recognized as an industry leader.”
TechTarget’s Best of VMworld 2017 Awards recognize the best of the best from VMworld 2017. Ninety nominees were evaluated by a team of expert judges consisting of editors, independent analysts, consultants and users in seven categories.
For more information or to get started with Densify for free, visit www.densify.com.
Densify is the developer of next-generation cloud and container cost management technology. Densify’s software gives enterprises the precision required for Finance and Engineering organizations to collaborate and automate the proactive specification of cloud and container resources in the most financially-prudent way. With Densify, enterprises ensure that applications continuously get the resources they need at the lowest possible spend.