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@ScaleComputing Expands Capabilities of HC3 Family with New Release of Ultra-Easy HyperCore Software

Scale Computing, the leading provider of hyperconverged data center solutions, today announced the new release of its patented Ultra-Easy HyperCore Software system, which expands the capabilities of its HC3 family to provide greater scalability and storage computing power. HyperCore integrates storage, servers, and virtualization software into an all-in-one appliance based system that is scalable, self-healing and as easy to manage as a single server.

HyperCore continuously monitors all virtual machines, software and hardware components to detect and automatically respond to common infrastructure events, maintain application availability and simplify datacenter management. HyperCore v5 introduces the following features:

  • Non-Disruptive / Rolling Updates ‒ HC3 clusters can be upgraded with no downtime or maintenance window. Workloads are automatically live-migrated across the HC3 appliance to allow for node upgrades, even if such an upgrade requires a node-reboot. Workloads are then returned to the node after the upgrade is complete.
  • VM-level Snapshots – Near-instant VM-level snapshots are now available. Scale Computing’s proprietary Allocate-on-Write technology allows for no disruption at the time of the snapshot, no duplication of data, and no performance degradation even with thousands of snapshots per VM. A snapshot can be simply “cloned” to start a VM while still maintaining the integrity of other snapshots both upstream and downstream from the cloned snapshot.
  • VM “Thin” Cloning – Enables the user to take a space efficient approach to cloning a VM. Thin clones are immediately bootable, and are similarly unduplicated using the Allocate-on-Write technology.
  • Import/Export VMs to Remote File Server – Export allows the user to export VMs to an external server for a full VM backup / archive with a single click. Import allows the operator to fully recreate a VM and virtual disks from a remote server.
  • Higher Capacity Systems – HyperCore was optimized to support new HC3 nodes with 2x VM density by doubling the I/O performance, CPU and memory resources per node. All HC3 systems are highly available and include built-in unified management. The result is a data center solution designed to help mid-to-large size companies seamlessly scale their infrastructure simply and cost-effectively.

“Maintenance windows cause downtime, create stress, and cost money,” said Jeff Ready, CEO at Scale Computing. “Our product roadmap has always focused on creating an integrated turn-key infrastructure that is easy to use and manage. Providing the ability to upgrade and grow infrastructure without downtime delivers on that vision.”

Customer Validation

“Scale Computing provides us with a virtual platform that fits exactly what we’re trying to do and will expand as we grow and need it to expand,” said Peter Belk, an IT Operations Manager at Oxford University. “The simplicity of the HC3 platform has helped us free up a good deal of IT team time that we can spend on developing new and better services rather than playing with the backend architecture.”

Analyst Reaction

“Scale Computing offers the mid-market a virtualization platform that can enable them to simplify their infrastructure,” said Benjamin Woo, managing director at Neuralytix. “Companies can get the ease-of-management and scalability they need to optimize operations and grow their businesses.”

“Scale Computing has simplified the convergence of storage, servers and virtualization in an all-in-one easy-to-manage appliance,” said Colm Keegan, senior analyst at Storage Switzerland. “Scale Computing provides efficient full-stack ownership, offering the simplicity of a single server, the high availability of a virtualized server and SAN, and the scalability of a clustered infrastructure.”

Availability and Pricing

HC3 models 1000, 2000 and 4000 are all available now. Pricing for an HC3 three-node system starts at $25,499.

Published Tuesday, October 14, 2014 1:03 PM by David Marshall
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