Home Enterprise Video: Scale Computing HCI Deep Dive

Video: Scale Computing HCI Deep Dive

by StorageReview Enterprise Lab
Scale Computing HE150 Back

StorageReview did a live stream this week with Scale Computing, taking a deep dive into the UI for their HC3 hyperconverged system. Founded in 2008, Scale Computing revolves around letting companies enjoy the benefits of HCI without the costs normally associated with it. Their HC3 products and software takes all the normal needs of HCI and replaces them with fully integrated, highly available platform for running applications. What’s more, the company deliver the solution on inexpensive Intel NUC system to further save costs for edge use cases.

StorageReview did a live stream this week with Scale Computing, taking a deep dive into the UI for their HC3 hyperconverged system. Founded in 2008, Scale Computing revolves around letting companies enjoy the benefits of HCI without the costs normally associated with it. Their HC3 products and software takes all the normal needs of HCI and replaces them with fully integrated, highly available platform for running applications. What’s more, the company deliver the solution on inexpensive Intel NUC system to further save costs for edge use cases.

Brian Beeler sat down with Dave Demlow for our live stream on YouTube (archived video above) to go in depth about with the HyperCore software used on Scale Computing HC3 devices. We covered how the HC3 devices are based off of affordable Intel NUCs (Intel NUC 10 in this case) to lower prices, ease deployment, and make them a better fit for edge deployment. Dave went in depth about how the HC3 can be ran as a three node HCI system as well as its ability to run as a single node system that get replicated to another system.

During the live demo, Dave showed us the Hypercore UI running a three node (or 2.5 as Scale says) cluster. The third node isn’t very active, but works as a failover to kick on if one of the other nodes goes down, which was forced manually at the end of the stream for good measure.

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