Kaminario Applies Machine Learning to Storage Management

As more IT organizations begin to build out their own private clouds, many of them are struggling with I/O contention issues created when different classes of workloads are required to share access to the same storage. Storage administrators are tasked with manually trying to optimize the I/O path for each workload running in the cloud. To help with this issue, Kaminario today unfurled a cloud service that employs machine learning algorithms to identify precisely what I/O contention issues are arising. Once identified, Chris Buckel, technology evangelist for Kaminario says, a storage administrator can then use the information generated by the Kaminario Clarity analytics service to apply the appropriate policies to eliminate that contention. "Clarity is going to provide a suggestion about the best pathway for a particular types of workload," says Buckel.