Changing The Economics of Bulk File & Content Storage March 2009

Powering Cloud Storage Enterprises Own datacenter, own staff Choose own hardware, re-purpose servers Start small Mission Delivering the software platform to address the exploding requirements to store digital content and archival data Service Providers Differentiated services Separate clouds – archives vs. video etc. Large multi-tenant clouds & small hosted clouds Private Cloud Public Cloud

Enterprises

Own datacenter, own staff

Choose own hardware, re-purpose servers

Start small

Service Providers

Differentiated services

Separate clouds – archives vs. video etc.

Large multi-tenant clouds & small hosted clouds

ParaScale: commodity servers, standard protocols Software-only on standard hardware Standard clients and protocols No agents Commodity hardware and networks Single file performance limited to performance of single node Benefits Transparent data migration Massive scalability, start small Economical Your choice of hardware

Software-only on standard hardware

Standard clients and protocols

No agents

Commodity hardware and networks

Single file performance limited to performance of single node

Benefits

Transparent data migration

Massive scalability, start small

Economical

Your choice of hardware

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

ParaScale Technology Asymmetric architecture Massive parallel scaling and performance Enterprise features Load Sharing Capacity balancing Thin Provisioning Replication Many installations to date Customers in ongoing trials without downtime since 2006 Deep team, 66 patents in storage and clustering

Asymmetric architecture

Massive parallel scaling and performance

Enterprise features

Load Sharing

Capacity balancing

Thin Provisioning

Replication

Many installations to date

Customers in ongoing trials without downtime since 2006

Deep team, 66 patents in storage and clustering

Two Types of Nodes Control Nodes Metadata servers – Max of 2 per cloud Dedicated server(s) that maintains the configuration information for your storage cloud Orchestrates the replication and migration of files across the cloud Provides the central management of your Storage Nodes Data does not pass through the control node Storage Nodes Data servers – Max of 100 per cloud (this release) Dedicated servers that store and deliver data to clients Massive amount of flexibility in hardware choices

Control Nodes

Metadata servers – Max of 2 per cloud

Dedicated server(s) that maintains the configuration information for your storage cloud

Orchestrates the replication and migration of files across the cloud

Provides the central management of your Storage Nodes

Data does not pass through the control node

Storage Nodes

Data servers – Max of 100 per cloud (this release)

Dedicated servers that store and deliver data to clients

Massive amount of flexibility in hardware choices

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

Scale Performance and Capacity Incremental additions to bandwidth and storage Scale the cloud based on individual requirements No need to compromise on vendor-selected node options Performance Scaling Additional nodes provide linear aggregate throughput Modest configurations are capable of 70MB/s writes and 100MB/s reads per node Capacity Scaling Storage from the node is automatically added to the cloud Each node is independent and serves files directly to clients Cloud Bandwidth Physical Capacity Attached disk is pooled

Incremental additions to bandwidth and storage

Scale the cloud based on individual requirements

No need to compromise on vendor-selected node options

Performance Scaling

Additional nodes provide linear aggregate throughput

Modest configurations are capable of 70MB/s writes and 100MB/s reads per node

Capacity Scaling

Storage from the node is automatically added to the cloud

Each node is independent and serves files directly to clients

Simplified Installation and Management Download and GO An application that runs in user space No custom kernels No specialty hardware No overpriced appliances Self healing and configuration Automatic node discovery Continued access upon node failures One click retirement of nodes Exception only Management No day-to-day configuration or administration tasks Detailed monitoring and reporting A single administrator can manage 100’s of nodes

Download and GO

An application that runs in user space

No custom kernels

No specialty hardware

No overpriced appliances

Self healing and configuration

Automatic node discovery

Continued access upon node failures

One click retirement of nodes

Exception only Management

No day-to-day configuration or administration tasks

Detailed monitoring and reporting

A single administrator can manage 100’s of nodes

Policy Engine for Data Redundancy Automated system administration Simplifies management by synchronizing and administering hundreds of volumes and nodes Policy based administration of file replication for data availability Files are copied to one or more nodes for data protection or improved performance Detects failed or evacuated nodes and ensures new replacement copies are created Removes the need for expensive SAN data protection schemes Files are automatically replicated

Automated system administration

Simplifies management by synchronizing and administering hundreds of volumes and nodes

Policy based administration of file replication for data availability

Files are copied to one or more nodes for data protection or improved performance

Detects failed or evacuated nodes and ensures new replacement copies are created

Removes the need for expensive SAN data protection schemes

Capacity Balancing and Incremental Scaling System automatically balances capacity across nodes Files are moved between nodes to address utilization inefficiencies Supports nodes with different amounts of storage or different size disk drives Automatically balances when new nodes are added to the cloud Add or remove storage as needed Server vendor agnostic Physical storage can be expanded on demand Via another node or added to an existing node One click decommission of nodes Delay purchases to leverage increasing capacity and reduced costs

System automatically balances capacity across nodes

Files are moved between nodes to address utilization inefficiencies

Supports nodes with different amounts of storage or different size disk drives

Automatically balances when new nodes are added to the cloud

Add or remove storage as needed

Server vendor agnostic

Physical storage can be expanded on demand

Via another node or added to an existing node

One click decommission of nodes

Delay purchases to leverage increasing capacity and reduced costs

Global Namespace with Thin Provisioning Consolidated view of network file systems Each node presents the entire namespace Any user or application can access any file from any node Contingent to ACLs and file R/W locking Removes complexities of localized file administration Present virtual file system sizes Presentation not based on physical disk Can be expanded or contracted without disruption Prevents asset over-allocation and storage silos

Consolidated view of network file systems

Each node presents the entire namespace

Any user or application can access any file from any node

Contingent to ACLs and file R/W locking

Removes complexities of localized file administration

Present virtual file system sizes

Presentation not based on physical disk

Can be expanded or contracted without disruption

Prevents asset over-allocation and storage silos

Load Balancing Client redirection for load sharing NFS mount redirection ParaScale intellectual property Clients redirected to nodes based on data locality and current conditions Data does not pass through the control node Hot file system scaling Policy based replication of files to multiple nodes Each node services client requests independently

Client redirection for load sharing

NFS mount redirection

ParaScale intellectual property

Clients redirected to nodes based on data locality and current conditions

Data does not pass through the control node

Hot file system scaling

Policy based replication of files to multiple nodes

Each node services client requests independently

Background Team Deep clustering, storage expertise (66 patents amongst the team) Team from Veritas, HP, Sun, Locus, Teradata, NetApp History Founded 2004, Alphas running software since early 2006 Beta since mid-September 2008 Investors / Funding Menlo Ventures, Charles River Ventures Successful track records within clustered storage (Spinnaker / EqualLogic) $11.37 Million to date, Series A - May 2008

Team

Deep clustering, storage expertise (66 patents amongst the team)

Team from Veritas, HP, Sun, Locus, Teradata, NetApp

History

Founded 2004,

Alphas running software since early 2006

Beta since mid-September 2008

Investors / Funding

Menlo Ventures, Charles River Ventures

Successful track records within clustered storage (Spinnaker / EqualLogic)

$11.37 Million to date, Series A - May 2008

For more information: www.parascale.com Changing the Economics of Bulk File and Content Storage