<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=1722319278018861&amp;ev=PageView&amp;noscript=1">

The Common Goal Hybrid Cloud Strategies Need to Succeed

Posted by Courtney Pallotta on 10/24/16 10:00 AM

Although enterprises are increasingly tapping into public, private and hybrid cloud resources, they’re not always on the same page – internally, or with one another.

Read More

Topics: Enterprise Storage, Bringing the Cloud to Primary Data 


Edge Computing: Lower Data Costs and Cut Inefficiencies

Posted by Courtney Pallotta on 10/17/16 10:00 AM

Most companies, especially those accountable to shareholders, probably wouldn’t want to be known for living on the edge. But in the case of data access and management, the edge—more specifically, edge computing—makes a lot of sense.

Read More

Topics: Enterprise Storage, Bringing the Cloud to Primary Data 


3 Ways Machine Learning and AI Depend on Storage

Posted by Laz Vekiarides on 10/13/16 2:00 PM

Artificial intelligence (AI) has been a hot topic since Stanley Kubrick introduced us to the HAL 9000 in “2001: A Space Odyssey.” 

Read More

Topics: Accelerating Machine Data Analytics, Founder's Perspective


#StorageDebate Recap: Is Edge Computing a Waste of Time?

Posted by Courtney Pallotta on 10/10/16 3:15 PM

Last spring, we noticed a theme taking root within enterprise IT. As organizations struggled to keep up with massive data growth incited by sensors and devices creating Internet of Things (IoT) or machine data, they found it increasingly difficult to move that data to the cloud. Instead, they were turning to fog computing – or edge computing, as Gartner dubbed it. These distributed architecture models help cut latency and keep machine data readily accessible for analysis and use.

Read More

Topics: Bringing the Cloud to Primary Data 


How Dedicated Storage Networks Keep Pace with Machine Data Growth

Posted by Neil Glazebrook on 10/3/16 11:00 AM

I first heard the phrase “you can’t manage what you don’t measure” in the early ‘90s, when I joined the data networking industry. The phrase was used to help justify the need for our recently launched ethernet network management solution.

Read More

Topics: Architectural Deep Dive: Global Storage Network, Accelerating Machine Data Analytics