Is your data stuck where it started? Join us and industry analyst Jason Bloomberg this Tuesday, July 26 to discover how you can automate data mobility across your software-defined datacenter. If you’re like most enterprises, you’ve likely added the benefits of flash and cloud storage to your traditional infrastructure. This storage diversity delivers more choice in meeting performance, protection and cost requirements to support the different data needs of applications, but without a way to converge data across your different storage investments, it’s nearly impossible to align the right data to the right storage at the right time. Data virtualization is a software-defined solution that finally unites different storage systems into a global pool of resources so that even data can be part of your SDDC architecture from on-premise and into the cloud. In Tuesday’s webinar, Jason will provide insight on how the principle of Software-Defined Everything supports the business agility needs of today’s enterprises. He will also discuss the software-defined approach to championing agility by automatically aligning storage resources to evolving data demands through data virtualization and orchestration, even as business needs change. Following Jason’s talk, Primary Data Senior Systems Engineer Brett Arnott will cover how data orchestration ensures that data is automatically aligned to the right storage resource to deliver breakthrough agility and efficiency. Attendees will learn how data virtualization and orchestration helps enterprises not only develop a roadmap for their transition to software-defined storage and data, but also execute the move to automated, Objective-driven storage efficiency.

1. 'Software-Defined Everything'
Includes Storage & Data
Jason Bloomberg
President
jason@intellyx.com
@theebizwizard

2. About Jason Bloomberg
• President of
industry analyst
firm Intellyx
• Latest
book The Agile
Architecture
Revolution
• Recently published the Agile Digital
Transformation Roadmap poster
Copyright © 2016, Intellyx, LLC2

3. The Roots of ‘Software Defined’
• Physical switches
• Proprietary command line
• Web-based configuration
• Scriptable/API-driven
configuration
Copyright © 2016, Intellyx, LLC3
At the Device Level
PhotoCredit:DonDeBoldhttps://www.flickr.com/photos/ddebold/
PhotoCredit:ajmexicohttps://www.flickr.com/photos/ajmexico/
PhotoCredit:TimothyVollmerhttps://www.flickr.com/photos/sixteenmilesofstring/

4. Software-Defined Systems
• Scriptable/API-driven
configuration at the system level
• The three legs of the Cloud stool
–Compute
–Storage
–Network
Copyright © 2016, Intellyx, LLC4
Enabler of Virtualization
PhotoCredit:MitchRobersonhttps://www.flickr.com/photos/10465474@N04/

5. Software-Defined Abstraction
• Software-defined virtualization
provides simplifying
abstractions
– Hide underlying complexity
– Allow for change and variability
– Essential for elastic scalability
– Assemble (orchestrate)
abstractions like Lego blocks
Copyright © 2016, Intellyx, LLC5
The Key to Agility
PhotoCredit:Antoniohttps://www.flickr.com/photos/antpaniagua/

6. The Third Leg of the Stool
• Software-defined compute
– Mature virtual machine technology
– Containers are next generation
• Software-defined network
– Essential for public Cloud
– Increasingly common in enterprise
• Software-defined storage
– Supports data virtualization & orchestration
– Evolving enterprise data demands (big & small)
Copyright © 2016, Intellyx, LLC6
PhotoCredit:MikeMozarthttps://www.flickr.com/photos/jeepersmedia/

7. Getting to Software-Defined
Everything
Copyright © 2016, Intellyx, LLC7
Storage Network
Compute
Abstracted Infrastructure
Software-
Defined
Everything
Fully Generic Hardware
XaaS
IoT
Data Virtualization
Containers
Hybrid Scenarios

8. Jason Bloomberg
President, Intellyx
jason@intellyx.com
@theebizwizard
Download poster at AgileDigitalTransformation.com
Send email NOW to everything@intellyx.com
to download this presentation
Thank You!

9. Software Defined Everything
It’s Possible With Your Existing Storage

10. Agenda
 What is the Common Approach to Software Defined Storage?
 What is the Ideal Solution? (Demo Included)
 How Would the Ideal Solution Work?
 What Else Could the Ideal Solution Do?
 A Little About Primary Data
 Wrap Up
 Q&A

11. WHAT IS T HE COMMON APRO ACH T O DEF INED ST O RAG E?

12. PROMISES OF
SOFTWARE DEFINED STORAGE
AVOID
wasted resources with policy
based automation
SCALE
up and out quicker than
traditional storage
environments
DECREASE
costs by using commodity x86
hardware and by reducing
manual effort

13. SDS (x86)SAN (BLOCK)
CONTROL
MANAGEMENT
STORAGE
NAS (FILE)
CONTROL
MANAGEMENT
STORAGE
CONTROL
MANAGEMENT
STORAGE
NEW
COMMON APPROACH TO
SOFTWARE DEFINED STORAGE

14. WHAT IS T HE IDEAL SOLUTION?

15. LESS ABOUT COMMODITY HW, MORE ABOUT
RESPONDING QUICKLY
RESPOND
quickly and automatically to
meet those needs
UNDERSTAND
changing needs of
applications and the business

16. YOU ARE
HERE
SAN (BLOCK)
CONTROL
MANAGEMENT
STORAGE
NAS (FILE)
CONTROL
MANAGEMENT
STORAGE

17. StorageStorage
What Is The Solution?
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
Data
COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES

18. StorageStorage
Storage Agnostic. Unlock and Virtualize Data.
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
Data
COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES

19. StorageStorage
Freedom to Choose The Right Storage Solution
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
Data
COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES

20. Storage
Meet The Needs of the Business
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
DATABASE VIRTUAL MACHINES USER FILES
Storage
Data
DATABASE

21. D E M O

22. Demo Part 1 – Logical Storage Solution With NetApp & Isilon
G L O B A L D A T A S P A C E
Workstation
Move Automatically
Access Controlled
COST
T I M E / E F F O R T
L O W C O S T / L O W E F F O R T

23. Demo Part 2 – Add Software Defined Storage & Move Data
G L O B A L D A T A S P A C E
Workstation
Move Automatically
Access Controlled
COST
T I M E / E F F O R T
L O W C O S T / L O W E F F O R T
COMMODITY X86
Add Storage

24. How Does the Solution Work?

25. Control and Management Functions are Tied to Each Storage Array
DAS (x86)SAN (BLOCK)
CONTROL
MANAGEMENT
STORAGE
NAS (FILE)
Which makes moving data across vendors difficult and costly
CONTROL
MANAGEMENT
STORAGE
CONTROL
MANAGEMENT
STORAGE

26. We Separate Control and Management from the Storage
DAS (x86)SAN (BLOCK) NAS (FILE)
CONTROL MANAGEMENT
STORAGE STORAGE STORAGE

27. DataSphere Out-of-Band
Control Channel
How Does the Solution Work?
GLOBAL DATASPACE
ANY PROTOCOL
ANY VENDOR
Data Path
COMMERCIAL APPS
ANY STORAGE TYPE
DATABASE
ANY STORAGE TYPE
VIRTUAL MACHINES
ANY STORAGE TYPE
USER FILES
ANY STORAGE TYPE
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)DAS (FLASH)
CONTROL
MANAGEMENT
Smart
Objectives
Data
Mobility
Data
Analytics

28. How Does the Solution Work?
I need 20K IOPS and < 1ms latency, but I’m not getting it
I can deliver 30K read IOPS and < 1ms latency
GLOBAL DATASPACE
SAN (BLOCK)DAS (FLASH)
DATABASE
Move
Match

29. Data Awareness: Understanding Storage Capabilities

30. AUTOMATEDDATALIFECYCLEMANAGEMENT
Data Awareness: Aware, Action, Impact
A
W
A
R
E
A
C
T
I
O
N
I
M
P
A
C
T
Know when data’s
storage needs are not
being met
Move data to capable
storage, without
disrupting applications
Business needs are
met without downtime,
additional cost or
manual effort
DATA’SACTUALSTORAGENEEDS
Moving

31. Managing Data by Objectives through Data Awareness
 Bandwidth
 IOPS
 Latency
 Affordability
 Priority
PERFORMANCE
COST
 Availability
 Resiliency
 Recoverability
 Security
 Compliance = Actual - SLO
PROTECTION
TELEMETRY
Read & Write Mapping Data To Storage
Charge Back / Budget Planning / Rational Prioritization Tracking changing conditions
DATA

32. What Else Can the Solution Do?
 Backup/DR
 Recovery
 Increase Performance
 Reduce Cost
 Capacity Load Balancing
 Reduce Cost
 Storage Upgrade
 Adopt New Technology
S C A L E O U T D A T A L I F E C Y C L E
M A N A G E M E N T
D A T A P R O T E C T I O ND A T A M I G R A T I ON

33. Primary Data Executive Team
DAVID FLYNN
Chief Technology Officer
& Co-Founder
KAYCEE LAI
SVP Sales & Products
LANCE SMITH
Chief Executive Officer
37
RICK WHITE
Chief Marketing Officer
& Co-Founder

34. Primary Data Solution
S O F T W A R E D E F I N E D A R C H I T E C TU RE
V I R T U A L M A C H I N E
A P P L I A N C E
DataSphere
U N I V E R S A L C O N T R O L P L A N E
Data
Mobility
Data
Analytics
Policy
Engine
E X T E N D E D D A T A S E R V I C E S
D A T A P O R T A L - S W
D A T A M O V E R - S W
S H A R E A B L E D A S - S W

35. Wrap Up
Attend Our Next Webinar – VM Data Lifecycle Management,
16th August (subject to change)
Meet with us to discuss your situation, or get a deeper dive
demonstration – email deepdive@primarydata.com
View and download great resources from
www.primarydata.com

36. Steve Wozniak Is Our Chief Scientist

37. Q & A