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Managing File-Based Data as Content Storing file-based data is as much an information management problem as it is an issue with the storage technology The point where business and IT needs converge Business Need: Protecting and preserving intellectual property and business critical records for future benefit IT Need: Implementing a cost-effective infrastructure that ensures the availability and integrity of file-based data

Storing file-based data is as much an information management problem as it is an issue with the storage technology

The point where business and IT needs converge

Business Need: Protecting and preserving intellectual property and business critical records for future benefit

IT Need: Implementing a cost-effective infrastructure that ensures the availability and integrity of file-based data

Realities of File-Based Data Unstructured data Over 95% is “unstructured” 1 Massive file growth Up to 120% per year 2 Low reuse of files 3 90% never accessed after creation Only 65% of files accessed are only accessed once 3 Aging files occupying expensive storage Software needed to migrate files to secondary storage Added cost and complexity Must meet compliance mandates Secondary storage tier required 90% 10% 65% Files never accessed again accessed once 1 IDC, The Expanding Digital Universe 2 The Economic Impact of File Virtualization, IDC 3 Measurement and Analysis of Large-Scale Network File System Workloads, UC Santa Cruz accessed

Unstructured data

Over 95% is “unstructured” 1

Massive file growth

Up to 120% per year 2

Low reuse of files 3

90% never accessed after creation

Only 65% of files accessed are only accessed once 3

Aging files occupying expensive storage

Software needed to migrate files to secondary storage

Added cost and complexity

Must meet compliance mandates

Secondary storage tier required

File Storage Challenges Today’s storage requirements are different Millions and billions of files on thousands of large disk drives File systems simply cannot stretch any farther The weight of layers of complexity and virtualization makes them brittle They hit maximums on file size and number of files and servers They encounter folder and drive letter problems Newer file systems are high-maintenance Even with layers of virtualization, underlying file systems must still be managed, migrated, backed up and maintained Requires highly skilled administrators Volume of file data is major information management problem Folder/Sub-folder/file name becomes cryptic at scale (millions/billions) File systems provide no informational context for files

Today’s storage requirements are different

Millions and billions of files on thousands of large disk drives

File systems simply cannot stretch any farther

The weight of layers of complexity and virtualization makes them brittle

They hit maximums on file size and number of files and servers

They encounter folder and drive letter problems

Newer file systems are high-maintenance

Even with layers of virtualization, underlying file systems must still be managed, migrated, backed up and maintained

Requires highly skilled administrators

Volume of file data is major information management problem

Folder/Sub-folder/file name becomes cryptic at scale (millions/billions)

File systems provide no informational context for files

Majority of capacity in commercial sector born as file-based, rich digital content 5 key infrastructure requirements (Enterprise Strategy Group) Infinite scale – in real-time, dynamically, no human intervention No boundaries – expand beyond walls of IT department Operationally efficient – leverage commodity components, policy-based automation Self-Management – auto re-balance and optimize, no human intervention Self- Healing – withstand failures, automatically adjust/heal itself Object-based storage (IDC) 4 tests/criteria for technology Self-referencing – Unique address for each file/object Described by metadata – Beyond standard file system Location independence Dynamic presentation – Not fixed to a traditional tree format Intelligent replication/distribution Next Gen: Internet Scale and Object-Based

Majority of capacity in commercial sector born as file-based, rich digital content

5 key infrastructure requirements (Enterprise Strategy Group)

Infinite scale – in real-time, dynamically, no human intervention

No boundaries – expand beyond walls of IT department

Operationally efficient – leverage commodity components, policy-based automation

Self-Management – auto re-balance and optimize, no human intervention

Self- Healing – withstand failures, automatically adjust/heal itself

Object-based storage (IDC)

4 tests/criteria for technology

Self-referencing – Unique address for each file/object

Described by metadata – Beyond standard file system

Location independence

Dynamic presentation – Not fixed to a traditional tree format

Intelligent replication/distribution

Effectively manage content from creation through storage and expiration Alfresco2Caringo interface available at Alfresco Forge Developed by XeniT Alfresco and Caringo Partner Alfresco ECM manages business process & workflow Caringo stores and protects business-critical content Ensure content integrity and preservation Preserve context of content for the long-term Accessible and available well into the future Convergence: ECM & Content Storage

Effectively manage content from creation through storage and expiration

Alfresco2Caringo interface available at Alfresco Forge

Developed by XeniT

Alfresco and Caringo Partner

Alfresco ECM manages business process & workflow

Caringo stores and protects business-critical content

Ensure content integrity and preservation

Preserve context of content for the long-term

Accessible and available well into the future

Covering the Complete Storage Workflow Comprehensive solution to access , store and distribute HTTP access for cloud storage and Web 2.0 Complete business solutions Continuous data availability Long-term data protection Intelligent data replication for content distribution and disaster recovery Content File Server (CFS) Integrated Solutions Native CAStor

Comprehensive solution to access , store and distribute

HTTP access for cloud storage and Web 2.0

Complete business solutions

Continuous data availability

Long-term data protection

Intelligent data replication for content distribution and disaster recovery

CAStor Software Key Features Runs on affordable and standard x86 server hardware Delivers flexibility and choice Massively scalable storage cluster Start small and scale to billions of files or objects As you grow from TBs to PBs, access bandwidth also grows Increase capacity seamlessly No disruption in operations or data availability. No migration! Manages and repairs itself automatically and faster than RAID Local and Wide Area Replication for DR and backup Data protection for regulatory compliance and internal governance WORM, integrity checking, authenticity, object-level retention, LifePoints Rich metadata support Attach and persist descriptive metadata with objects Content in Context Node 1 n 2 3 GigE 900 4 CAStor Cluster

Runs on affordable and standard x86 server hardware

Delivers flexibility and choice

Massively scalable storage cluster

Start small and scale to billions of files or objects

As you grow from TBs to PBs, access bandwidth also grows

Increase capacity seamlessly

No disruption in operations or data availability. No migration!

Manages and repairs itself automatically and faster than RAID

Local and Wide Area Replication for DR and backup

Data protection for regulatory compliance and internal governance

WORM, integrity checking, authenticity, object-level retention, LifePoints

Rich metadata support

Attach and persist descriptive metadata with objects

Content in Context

Early File Management Challenge 8dot3 in DOS days Eight characters + extension Example: C:Directorydocument.doc Organizational challenge for even hundreds of files Significant position coding schemes Include fully qualified path and name on documents Law firms still do this today System metadata only, basic Non-descriptive, not useful in organizing files

8dot3 in DOS days

Eight characters + extension

Example: C:Directorydocument.doc

Organizational challenge for even hundreds of files

Significant position coding schemes

Include fully qualified path and name on documents

Law firms still do this today

System metadata only, basic

Non-descriptive, not useful in organizing files

Incremental Advancement Long file names introduced in Windows mid-90s Promise of better identifying files for organization and finding 8dot3 turned into this: My DocumentsThis is my document.doc and… My DocumentsThis is my document v2.doc Folder/sub-folder hierarchy is cumbersome File counts now in the millions and beyond Remains difficult to manage especially over time Millions will turn into billions File names still lack informational value

Long file names introduced in Windows mid-90s

Promise of better identifying files for organization and finding

8dot3 turned into this:

My DocumentsThis is my document.doc

and…

My DocumentsThis is my document v2.doc

Folder/sub-folder hierarchy is cumbersome

File counts now in the millions and beyond

Remains difficult to manage especially over time

Millions will turn into billions

File names still lack informational value

CAStor Content Storage Software Object-Based CAStor ideally suited for file-based data storage Supports rich metadata tags System generated metadata Custom metadata Descriptive information lives with the file Metadata 101000101010100111010101100010110100…110010 UUID HTTP/1.1 200 OK Date: Thu, 26 Jun 2008 21:26:34 GMT Server: CAStor Cluster/2.2 CAStor-Application-Name: FinalCutPro CAStor-Create-Date: 2008-06-26 21:26:14.687000 Castor-System-Cluster: Internet Demo Cluster Castor-System-Created: Thu, 26 Jun 2008 21:26:20 GMT Content-Disposition: inline; filename=Sports %Segment%206-26-08.mxf Content-Length: 8619354 Content-type: application/mxf lifepoint: [Thu, 03 Jul 2008 21:26:14 GMT] reps=2, deletable=True lifepoint: [] delete Replica-Count: 2 Content Address File Data

CAStor ideally suited for file-based data storage

Supports rich metadata tags

System generated metadata

Custom metadata

Descriptive information lives with the file

CAStor Content Objects Supports all types of digital content Metadata values stored are specific to each individual type Vast 128-bit address space Never run out of UUIDs Billions of objects Define metadata values to drive replication and distribution Metadata 101000101010100111010101100010110100…110010 UUID1 Content Address Video Metadata 111000101010100111010101100010110100…101010 UUID2 Image Metadata 101100101010100111010101100010110100…110111 UUID3 Audio Metadata 101011101010100111010101100010111110…110011 UUID4 Doc

Supports all types of digital content

Metadata values stored are specific to each individual type

Vast 128-bit address space

Never run out of UUIDs

Billions of objects

Define metadata values to drive replication and distribution

Metadata Enables Intelligence Filter and Rules Engine HTTP/1.1 200 OK Date: Thu, 26 Jun 2008 21:26:34 GMT Server: CAStor Cluster/2.2 CAStor-Application-Name: SimpleCASg CAStor-Create-Date: 2008-06-26 21:26:14.687000 Castor-System-Cluster: Internet Demo Cluster Castor-System-Created: Thu, 26 Jun 2008 21:26:20 GMT Content-Disposition: inline; filename=Car%20Chase%206-26-08.mxf Content-Length: 86193452 Content-type: application/mxf lifepoint: [Thu, 03 Jul 2008 21:26:14 GMT] reps=2, deletable=True lifepoint: [] delete Replica-Count: 2 Metadata Filtered for specific value(s) Rule(s) fire when condition met If Content-type = MXF then Replicate to DR Facility

Intelligent Content Replication and Distribution CAStor Content Router (CR) Policy-based replication to geographically separate sites Policies driven by administrator-defined rules for specific metadata Multiple replication and distribution topologies supported 1:1, 1:M, M:1, M:M Customize to meet specific needs Replicate some or all files Fully automated to reduce management effort for file replication Video

CAStor Content Router (CR)

Policy-based replication to geographically separate sites

Policies driven by administrator-defined rules for specific metadata

Multiple replication and distribution topologies supported

1:1, 1:M, M:1, M:M

Customize to meet specific needs

Replicate some or all files

Fully automated to reduce management effort for file replication

Content Relationships in Storage Relate elements of a specific project in an anchor stream Simple list of UUIDs Video, key image, audio, script Add elements through business process/workflow Persist relationships over the long term Mutable Metadata UUID UUID1 UUID2 UUID3 UUID4    UUID n Anchor Stream Metadata 101000101010100111010101100010110100…110010 UUID1 Content Address Video Metadata 111000101010100111010101100010110100…101010 UUID2 Image Metadata 101100101010100111010101100010110100…110111 UUID3 Audio Metadata 101011101010100111010101100010111110…110011 UUID4 Doc

Relate elements of a specific project in an anchor stream

Simple list of UUIDs

Video, key image, audio, script

Add elements through business process/workflow

Persist relationships over the long term

Caringo: Unified Content Infrastructure Investment Protection Runs on standard x86 server hardware Add new generation server hardware at any time without disruption Cost-effective Scaling Add capacity without interruption or need to provision storage Scale from Terabytes to Petabytes in a single cluster Operational Efficiency Self-managing and self-healing cluster minimizes administrative intervention High Performance Object Storage Easily address performance needs for small and/or large file workloads Data Protection & Preservation Archive unstructured data for the long-term and address regulatory compliance Content File Server (CFS) Integrated Solutions Native CAStor

Investment Protection

Runs on standard x86 server hardware

Add new generation server hardware at any time without disruption

Cost-effective Scaling

Add capacity without interruption or need to provision storage

Scale from Terabytes to Petabytes in a single cluster

Operational Efficiency

Self-managing and self-healing cluster minimizes administrative intervention

High Performance Object Storage

Easily address performance needs for small and/or large file workloads

Data Protection & Preservation

Archive unstructured data for the long-term and address regulatory compliance

A Winning Combination for Managing the Content Lifecycle Experience the Solution Today Get 4TB of CAStor Software Free Go to http://www.caringo.com/downloadCAStor.html

A Winning Combination for Managing the Content Lifecycle

Experience the Solution Today

Get 4TB of CAStor Software Free

Go to http://www.caringo.com/downloadCAStor.html

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