Software Composable Infrastructure
Give Your Data Center the Agility
of the Public Cloud at a Fraction of the Cost
Just announced:
Game Changing Approach to Accelerating Cloud Infrastructure
DriveScale Named a 2018 Cool Vendor in Gartner “Cool Vendors in Cloud Infrastructure” Report
DriveScale Does for Clusters What Virtualization Did for Servers
Reduce Costs
Spend less on infrastructure and operations
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Achieve higher utilization of compute and storage assets
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Avoid under or over-provisioning of resources
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De-couple compute and storage upgrades
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Reduce data center footprint
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Add only the resource you need: compute or storage, not both
Respond Faster
Operate your data center with the agility of a public cloud
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Respond quickly to changing workloads
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Spin-up clusters in minutes instead of weeks
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Share resources across clusters and applications; no more silos
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Recompose servers and clusters on-demand via software
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Recover quickly from disk and server failures
Deploy with Confidence
Integrates quickly and easily into your environment
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No changes required to the application stack
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Works with industry standard servers and storage of your choice
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Performance equivalent to bare metal servers with direct attached storage
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Redundant architecture for high availability
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Data security with encryption at rest and in flight
DriveScale Builds Hyperscale Infrastructure for Modern Workloads
Modern Workloads Require a New Approach: Software Composable Infrastructure
Modern workloads utilize distributed computing architectures (scale-out) to store and process very large data sets at reasonable cost and high performance. Typical examples of these modern workloads are the various applications in the Hadoop distribution, No-SQL, NewSQL, MPP databases, and some Open Stack and Object Storage projects. These modern workloads run on clusters of hundreds or thousands of commodity servers with direct attached storage. Each application has its own cluster with its specific server configuration appropriate for its type of computing.
What’s the Problem?
While scale-out architectures were developed specifically to handle modern workloads, they are inherently inflexible when managing the ratio of compute to storage. Each node or cluster has a fixed ratio of compute to storage, so as application demand changes or data grows, organizations either have to re-configure their clusters or over-provision them to meet dynamic workload needs. The result is excessive spending, underutilized resources and slow response to changing requirements.
What’s the Answer?
Software Composable Infrastructure (SCI) is a next generation data center architecture developed to directly address these issues. SCI disaggregates standard servers into pools of compute and storage resources consisting of disk-lite servers and JBODs (Just a Bunch Of Disks). IT operators can then compose servers and clusters on-the-fly under software control. For the first time, data center resources can be easily and quickly deployed where needed, even between different clusters.
