Longer System Life with Lower TCO

The Himalaya-based system comprehensively reduces the Total Cost of Ownership (TCO) of Big Data storage. To do so, the system has been designed to reduce both the Capital and Operational aspects of TCO, along with extending useful system life of the system through elimination of “forklift upgrades”. The major enablers of this are as follows:

Reduced Capex
  • Economical Hardware: The Himalaya-based system is built on a scale-out commercial-off-the-shelf (COTS) hardware platform. The system utilizes commodity servers, disk drives and network fabric to ride high volume cost curves.
  • Reduced Storage Overhead: The BitSpread algorithm reduces the raw storage overhead required for high levels of storage durability by up to 60%. This can result in Petabytes of eliminated disk drives and storage capacity, which directly translates into reduced cost.
  • Lower Software Cost: With GeoSpread, there is less software to license as Disaster Prevention is built in.
Reduced Opex
  • Highly-Available: the system has been designed with no single points of failure, redundancy at all levels, and the highest levels of data durability and availability. Creating a highly available system at the lowest possible cost, directly impacts the cost of managing large-scale big data.
  • Single System View: The system scales as a single pool, to reduce the cost of managing 10’s to 100’s of individual systems. Instead, the administrator can manage 10’s to 100’s of Petabytes and beyond as a single system, from a console that manages the entire pool from a “single pane of glass”. This makes it possible for a single storage administrator to manage very large storage configurations.
  • Automation: AmpliStor automates common, time-consuming storage administration tasks. The system virtualizes all element level management of individual components such as disks, and instead enables management of higher level storage “pools”. There is no need for Volume, or RAID group management. Capacity upgrades can be introduced at the click of a button. Software upgrades are performed online. The system performs “self-healing” in the event of a component level failure, with no human intervention required.
  • Longer system useful life:  In addition, technology upgrades in the form of new Storage Nodes, Controllers, higher capacity storage technologies, all occur without interruption of access to the data.  New Storage capacity is added online, and decommissioning old components is done in an automated process.  There’s never a need to “migrate” data from one technology to another, such as with tape based systems
  • Fail-in-place model: as disk drives fail, there is no immediate need to perform emergency “disk swaps”. Since the system provides failure protection against very high numbers of simultaneous component failures, and responds to any failure by automatically self-healing, administrators no longer have to be alerted in the middle of the night to respond to simple component level alerts. In addition, this reduces the likelihood of human induced errors related to manual disk or component swapping.
  • Remote monitoring: the Amplidata Global Support Center can remotely monitor customer systems and proactively respond to any conditions that require support, thereby further offloading administrators from this burden.
  • High-Density Storage: with up to 60TB per rack unit of storage (4TB drives, 60 drive/4U server) Himalaya can dramatically reduce the required floor space and rack space for large-scale storage.
  • Low-power: with low-power disk drives and processors, Himalaya drives power consumption down to 65 Watts per Storage module, or as low as 2.1 Watts per TB. This can reduce power consumption by 50-70% compared to traditional systems.