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'Software-Defined Everything' Includes Storage & Data
Jason BloombergPresident
@theebizwizard
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
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 Phot
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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 Phot
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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
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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
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Getting to Software-Defined Everything
Copyright © 2016, Intellyx, LLC7
Storage NetworkCompute
Abstracted Infrastructure Software-Defined
Everything
Fully Generic Hardware
XaaS
IoT
Data Virtualization
Containers
Hybrid Scenarios
Jason BloombergPresident, [email protected]
@theebizwizard
Download poster at AgileDigitalTransformation.com
Send email NOW to [email protected] to download this presentation
Thank You!
Software Defined EverythingIt’s Possible With Your Existing Storage
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
W H AT I S T H E COMMON A P R O A C H T O D E F I N E D S T O R A G E ?
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
SDS (x86)SAN (BLOCK)
CONT ROL
MANAGEM ENT
STORAGE
NAS (FILE)
CONTROL
MANAGEM ENT
STORAGE
CONT ROL
MANAGEMENT
STORAGE
NEW
COMMON APPROACH TO
SOFTWARE DEFINED STORAGE
W H AT I S T H E IDEAL SOLUTION?
LESS ABOUT COMMODITY HW, MORE ABOUT
RESPONDING QUICKLY
RESPONDquickly and automatically to
meet those needs
UNDERSTAND changing needs of applications
and the business
YOU ARE
HERE
SAN (BLOCK)
CONT ROL
MANAGEM ENT
STORAGE
NAS (FILE)
CONT ROL
MANAGEMENT
STORAGE
StorageStorage
What Is The Solution?
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
Data
COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES
StorageStorage
Storage Agnostic. Unlock and Virtualize Data.
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
Data
COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES
StorageStorage
Freedom to Choose The Right Storage Solution
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
Data
COMMERCIAL APPS DATABASE VIRTUAL MACHINES USER FILES
Storage
Meet The Needs of the Business
SAN (BLOCK) NAS (FILE) CLOUD (OBJECT)COMMODITY X86
DATABASE VIRTUAL MACHINES USER FILES
Storage
Data
DATABASE
D E M O
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
CO
ST
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
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
CO
ST
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
COMMODITY X86
Add Storage
How Does the Solution Work?
Control and Management Functions are Tied to Each Storage Array
DAS (x86)SAN (BLOCK)
CONT ROL
MANAGEM ENT
STORAGE
NAS (FILE)
Which makes moving data across vendors difficult and costly
CONTROL
MANAGEM ENT
STORAGE
CONT ROL
MANAGEMENT
STORAGE
We Separate Control and Management from the Storage
DAS (x86)SAN (BLOCK) NAS (FILE)
CONT ROL MANAGEM ENT
STORAGE STORAGE STORAGE
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
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
Data Awareness: Understanding Storage Capabilities
AU
TOM
ATE
D D
ATA
LIF
EC
YC
LE
MA
NA
GE
ME
NT
Data Awareness: Aware, Action, Impact
AWARE
ACTION
IMPACT
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
DA
TA
’S A
CT
UA
L S
TO
RA
GE
NE
ED
S
Moving
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
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 ATA L I F E C Y C L EM A N A G E M E N T
D ATA P R O T E C T I O ND ATA M I G R AT I O N
Primary Data Executive Team
DAVID FLYNNChief Technology Officer& Co-Founder
KAYCEE LAISVP Sales & Products
LANCE SMITHChief Executive Officer
37
RICK WHITEChief Marketing Officer& Co-Founder
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 T U R E
V I R T U A L M A C H I N E
A P P L I A N C E
DataSphereU 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 ATA S E R V I C E S
D ATA P O R TA L - S W
D ATA M O V E R - S W
S H A R E A B L E D A S - S W
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 [email protected]
View and download great resources from www.primarydata.com
Steve Wozniak Is Our Chief Scientist
Q & A