ParaScale Cloud Storage Customer overview presentation


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ParaScale private cloud storage software Customer presentation. Changing the economics of Bulk FIle and Content Storage. Software can be used to create both private and public clouds for Service providers and enterprises. Use commodity hardware, start small and grow as needed. Thin provision file systems and access using NFS, FTP, HTTP and WebDav. Global Namespace and transparent data migration with your choice of hardware. Massive parallel scaling and performance with enterprise features like load and capacity balancing, thin provisioning, replication, High Availability. Two types of nodes - Control nodes and Storage nodes. Tune the Cloud for Performance or Capacity, Capacity Scale Out, Performance Scale Out, Incremental additions to bandwidth and storage, Simplified Installation and Management with doanload and go,

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  • ParaScale Cloud Storage Customer overview presentation

    1. 1. Changing The Economics of Bulk File & Content Storage March 2009
    2. 2. Powering Cloud Storage <ul><li>Enterprises </li></ul><ul><li>Own datacenter, own staff </li></ul><ul><li>Choose own hardware, re-purpose servers </li></ul><ul><li>Start small </li></ul>Mission Delivering the software platform to address the exploding requirements to store digital content and archival data <ul><ul><li>Service Providers </li></ul></ul><ul><li>Differentiated services </li></ul><ul><li>Separate clouds – archives vs. video etc. </li></ul><ul><li>Large multi-tenant clouds & small hosted clouds </li></ul>Private Cloud Public Cloud
    3. 3. ParaScale: commodity servers, standard protocols <ul><li>Software-only on standard hardware </li></ul><ul><ul><li>Standard clients and protocols </li></ul></ul><ul><ul><li>No agents </li></ul></ul><ul><ul><li>Commodity hardware and networks </li></ul></ul><ul><ul><li>Single file performance limited to performance of single node </li></ul></ul><ul><li>Benefits </li></ul><ul><ul><li>Transparent data migration </li></ul></ul><ul><ul><li>Massive scalability, start small </li></ul></ul><ul><ul><li>Economical </li></ul></ul><ul><ul><li>Your choice of hardware </li></ul></ul>
    4. 4. Scalable File Storage Technology Landscape Tightly Coupled / Custom OS Loosely Coupled / Standard OS High cost Panasas Lustre (Sun) Custom Clients, Protocols and Network High Performance Computing High cost Standard Clients and Protocols Custom Network Clustered NAS Isilon NetApp GX Low cost Standard Clients, Protocols and Network Private Cloud Storage Google Amazon S3 Powered Monthly cost Custom clients and protocols Standard Network Public Cloud Storage
    5. 5. ParaScale Technology <ul><li>Asymmetric architecture </li></ul><ul><ul><li>Massive parallel scaling and performance </li></ul></ul><ul><li>Enterprise features </li></ul><ul><ul><li>Load Sharing </li></ul></ul><ul><ul><li>Capacity balancing </li></ul></ul><ul><ul><li>Thin Provisioning </li></ul></ul><ul><ul><li>Replication </li></ul></ul><ul><li>Many installations to date </li></ul><ul><ul><li>Customers in ongoing trials without downtime since 2006 </li></ul></ul><ul><ul><li>Deep team, 66 patents in storage and clustering </li></ul></ul>
    6. 6. Two Types of Nodes <ul><li>Control Nodes </li></ul><ul><ul><li>Metadata servers – Max of 2 per cloud </li></ul></ul><ul><ul><li>Dedicated server(s) that maintains the configuration information for your storage cloud </li></ul></ul><ul><ul><li>Orchestrates the replication and migration of files across the cloud </li></ul></ul><ul><ul><li>Provides the central management of your Storage Nodes </li></ul></ul><ul><ul><li>Data does not pass through the control node </li></ul></ul><ul><li>Storage Nodes </li></ul><ul><ul><li>Data servers – Max of 100 per cloud (this release) </li></ul></ul><ul><ul><li>Dedicated servers that store and deliver data to clients </li></ul></ul><ul><ul><li>Massive amount of flexibility in hardware choices </li></ul></ul>
    7. 7. Tune the Cloud for Performance or Capacity Mid-tier nodes with faster disk Massive I/O Requirements Inexpensive nodes with lots of disk Minimal I/O Requirements Capacity Scale Out Performance Scale Out
    8. 8. Scale Performance and Capacity <ul><li>Incremental additions to bandwidth and storage </li></ul><ul><ul><li>Scale the cloud based on individual requirements </li></ul></ul><ul><ul><li>No need to compromise on vendor-selected node options </li></ul></ul><ul><li>Performance Scaling </li></ul><ul><ul><li>Additional nodes provide linear aggregate throughput </li></ul></ul><ul><ul><ul><li>Modest configurations are capable of 70MB/s writes and 100MB/s reads per node </li></ul></ul></ul><ul><li>Capacity Scaling </li></ul><ul><ul><li>Storage from the node is automatically added to the cloud </li></ul></ul><ul><ul><li>Each node is independent and serves files directly to clients </li></ul></ul>Cloud Bandwidth Physical Capacity Attached disk is pooled
    9. 9. Simplified Installation and Management <ul><li>Download and GO </li></ul><ul><ul><li>An application that runs in user space </li></ul></ul><ul><ul><ul><li>No custom kernels </li></ul></ul></ul><ul><ul><ul><li>No specialty hardware </li></ul></ul></ul><ul><ul><ul><li>No overpriced appliances </li></ul></ul></ul><ul><ul><li>Self healing and configuration </li></ul></ul><ul><ul><li>Automatic node discovery </li></ul></ul><ul><ul><li>Continued access upon node failures </li></ul></ul><ul><ul><li>One click retirement of nodes </li></ul></ul><ul><li>Exception only Management </li></ul><ul><ul><li>No day-to-day configuration or administration tasks </li></ul></ul><ul><ul><li>Detailed monitoring and reporting </li></ul></ul><ul><ul><li>A single administrator can manage 100’s of nodes </li></ul></ul>
    10. 10. Policy Engine for Data Redundancy <ul><li>Automated system administration </li></ul><ul><ul><li>Simplifies management by synchronizing and administering hundreds of volumes and nodes </li></ul></ul><ul><ul><li>Policy based administration of file replication for data availability </li></ul></ul><ul><ul><ul><li>Files are copied to one or more nodes for data protection or improved performance </li></ul></ul></ul><ul><ul><ul><li>Detects failed or evacuated nodes and ensures new replacement copies are created </li></ul></ul></ul><ul><ul><ul><li>Removes the need for expensive SAN data protection schemes </li></ul></ul></ul>Files are automatically replicated
    11. 11. Capacity Balancing and Incremental Scaling <ul><li>System automatically balances capacity across nodes </li></ul><ul><ul><li>Files are moved between nodes to address utilization inefficiencies </li></ul></ul><ul><ul><li>Supports nodes with different amounts of storage or different size disk drives </li></ul></ul><ul><ul><li>Automatically balances when new nodes are added to the cloud </li></ul></ul><ul><li>Add or remove storage as needed </li></ul><ul><ul><li>Server vendor agnostic </li></ul></ul><ul><ul><li>Physical storage can be expanded on demand </li></ul></ul><ul><ul><ul><li>Via another node or added to an existing node </li></ul></ul></ul><ul><ul><li>One click decommission of nodes </li></ul></ul><ul><ul><li>Delay purchases to leverage increasing capacity and reduced costs </li></ul></ul>
    12. 12. Global Namespace with Thin Provisioning <ul><li>Consolidated view of network file systems </li></ul><ul><ul><li>Each node presents the entire namespace </li></ul></ul><ul><ul><li>Any user or application can access any file from any node </li></ul></ul><ul><ul><ul><li>Contingent to ACLs and file R/W locking </li></ul></ul></ul><ul><ul><li>Removes complexities of localized file administration </li></ul></ul><ul><li>Present virtual file system sizes </li></ul><ul><ul><li>Presentation not based on physical disk </li></ul></ul><ul><ul><li>Can be expanded or contracted without disruption </li></ul></ul><ul><ul><li>Prevents asset over-allocation and storage silos </li></ul></ul>
    13. 13. Load Balancing <ul><li>Client redirection for load sharing </li></ul><ul><ul><li>NFS mount redirection </li></ul></ul><ul><ul><ul><li>ParaScale intellectual property </li></ul></ul></ul><ul><ul><li>Clients redirected to nodes based on data locality and current conditions </li></ul></ul><ul><ul><li>Data does not pass through the control node </li></ul></ul><ul><li>Hot file system scaling </li></ul><ul><ul><li>Policy based replication of files to multiple nodes </li></ul></ul><ul><ul><li>Each node services client requests independently </li></ul></ul>
    14. 14. Background <ul><li>Team </li></ul><ul><ul><li>Deep clustering, storage expertise (66 patents amongst the team) </li></ul></ul><ul><ul><li>Team from Veritas, HP, Sun, Locus, Teradata, NetApp </li></ul></ul><ul><li>History </li></ul><ul><ul><li>Founded 2004, </li></ul></ul><ul><ul><li>Alphas running software since early 2006 </li></ul></ul><ul><ul><li>Beta since mid-September 2008 </li></ul></ul><ul><li>Investors / Funding </li></ul><ul><ul><li>Menlo Ventures, Charles River Ventures </li></ul></ul><ul><ul><ul><li>Successful track records within clustered storage (Spinnaker / EqualLogic) </li></ul></ul></ul><ul><ul><li>$11.37 Million to date, Series A - May 2008 </li></ul></ul>
    15. 15. For more information: Changing the Economics of Bulk File and Content Storage