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SIOS Leverages Machine-Learning Analytics to Optimize Virtualized Environments


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SIOS Technology Corp. has unveiled a new product designed to understand and optimize VMware environments. Dubbed SIOS iQ, the platform applies advanced machine-learning analytics to broad datasets, including application and infrastructure data from-third party tools and frameworks, in order to understand and explain complex behaviors and predict the impact of changes in dynamic virtual environments.

“What we are doing is taking different data from all the different parts of the infrastructure and we’re building that big data resource that’s acquiring real-time information,” said Jerry Melnick, COO of SIOS. “We can then mine it with machine-learning technology to answer specific questions that an IT administrator will have about what’s going on.”

The solution recognizes abnormal patterns of behavior and identifies root causes of issues. Then through the patented SIOS PERC Dashboard, it recommends the best solutions, filtering out the noise and alert storms typical in traditional approaches.

SIOS iQ can identify under-used virtual machines and unnecessary snapshots and provides the potential monthly savings for eliminating them.

Other major features of the platform include the performance root cause analysis, whichlearns the relationships of objects and their normal patterns of behavior in a VMware infrastructure; specialized analytics for SQL Server, whichprovides advanced insight into performance issues associated with SQL Server deployments in VMware; enhanced host based caching featurethat helps IT staff to easily determine how to improve storage performance for applications through the intelligent use of server side storage and host based caching; and the enhanced SIOS iQ resource optimization feature which provides an enhanced user interface for optimizing VMware resources by identifying and eliminating idle VMs and snapshot sprawl.

As organizations move important applications into virtualized environments, they face challenges in terms of achieving the service levels necessary, said Melnick. “We see this as a real breakthrough product in terms of how it delivers information and the kinds of information it delivers.”

To continue to transform and enhance the platform, updates will be available every 4-6 weeks, culminating in 2016 with increased integration with a multitude of data sources, databases, apps and other platforms. “Our vision here is we want to be the first interface you pick up to try and understand what’s going on,” Melnick said. “We may not be able to answer all your questions, but we are going to be able to get you where you need to go very quickly.”

For more information about this new platform, visit http://us.sios.com.  


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