Terascala Shows Parallel Appliance

Terascala announces world's first high-availability, high-throughput storage appliance with built-in redundant metadata

November 14, 2008

1 Min Read
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AVON, Mass. -- Terascala, Inc. today announced the MTS 1000, the worlds first storage appliance with built-in redundant metadata designed to provide high availability, high throughput storage. Based on a parallel file system, the MTS 1000 features an integrated, active-passive redundant metadata server architecture and delivers extremely high throughput, high capacity and superior price/performance in a fully configured and tuned appliance.

The MTS 1000 leverages Lustre™, the leading open source clustered file system and can be used over either Ethernet or InfiniBand® networks so applications are not limited by their ability to read, write and store data rapidly. The MTS 1000 was designed to be easy to manage and deploy and delivers significant benefits to performance-driven computing environments, including:

High availability metadata – Active – passive metadata architecture and RAID 10 configuration tuned for performance and reliability.

Advanced monitoring – Ensures rapid failover when needed with no impact on running applications.

High reliability – Integrated RAID controller with hot-swappable disk drives and redundant power supplies.High data throughput – Over 2 GB/sec with InfiniBand or 10GB Ethernet networks and over 575 MB/sec with Gigabit Ethernet in a single, 8U high enclosure.

High capacity – Supports up to 40 TB per enclosure and up to 192 TB in a standard rack.

Superior usable capacity – Up to 85% of raw capacity available for user data.

“Performance-driven computing environments have been held back by solutions that weren’t designed specifically for the unique needs of these installations,” said Larry Genovesi, president and CEO of Terascala. “The MTS 1000 is the first appliance built to provide the high capacity, high throughput needed to help applications run at peak efficiency with built-in redundant metadata.”


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