software-defined everything' includes storage and data

'Software-Defined Everything' Includes Storage & Data

Jason BloombergPresident

jason@intellyx.com

@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

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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

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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, Intellyxjason@intellyx.com

@theebizwizard

Download poster at AgileDigitalTransformation.com

Send email NOW to everything@intellyx.com 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 deepdive@primarydata.com

View and download great resources from www.primarydata.com

Steve Wozniak Is Our Chief Scientist

Q & A