Vitaly Kozlovsky

1© Copyright 2014 EMC Corporation. All rights reserved.© Copyright 2014 EMC Corporation. All rights reserved.
Концепция третьей платформы
информационных систем
Виталий Козловский
vitaly.kozlovsky@emc.com
консультант по развитию продуктов
EMC Center Of Excellence St.Petersburg

The Data Deluge This Decade
2009
0.8 Zetabytes
INFORMATION
GROWING
2020
44
TIMES
LARGER
35.2 ZB
Source: IDC Digital Universe Study, sponsored by EMC, 2011
WORLDWIDE IT STAFFING WILL GROW BY
LESS THAN 50%

Big data

Many Industries Face Structural Change

Starbucks Mobile Application
“The Winning Hand As Mobile, Card & Online Sales Converge”
“Starbucks was prepared for these shifts having
invested over many years in the creation &
development of proprietary world class digital &
mobile payment and card technology & expertise.
We are just beginning to appreciate the full
magnitude & possibilities of the Starbucks mobile
payment platform opportunity.”
10 MILLION MOBILE APPS USERS
5 MILLION MOBILE TRANSACTIONS / WEEK
$1.6 BILLION ON PAYMENT CARDS IN Q4 ‘13
Howard Schultz - Chairman, President and CEO
January 23, 2014

Mainframe, Mini Computer
Terminals
Mobile Cloud Big Data Social
Mobile Devices
MILLIONS
OF USERS
THOUSANDS
OF APPS
LAN/Internet Client/Server
PC
HUNDREDS OF MILLIONS
OF USERS
TENS OF THOUSANDS
OF APPS
BILLIONS
OF USERS
MILLIONS
OF APPS
Source: IDC

SOFTWARE-DEFINED DATA CENTER
Next-Gen Cloud Applications
2016 34M
2013 11M
300%
Traditional Applications
2016 120M
2013 91M
30%
TODAY’S DATA CENTER
Object/HDFS
Software-Defined Storage
Converged Infrastructure
Policy-Based Automation
Data-Driven Security
On-Premise & Off-Premise
STORAGE SPAN, WIDTH, OR DISTRIBUTION
Physical Disk Multi-DC GEO-Store Hybrid Cloud
2014 Current State
Storage System
APPLICATIONDISTANCE
PowerPath
Port B Port A
Network Switch C Network Switch D
Application Server
Carrier/
Cloud
Virtualization Layer
CPU
APPLICATION
“4”
“3”
“2”
“1”
DATA
0
1
2
3
4
5
$/IOps
$/GB
Latency
QoS
RASScales Down
Scales Up
Manageability at
Scale
App Integration
“4”“3”“2”“1”

Data Lake
AnalyticsData
mining
Reporting
Data Lake
Data Lake substitutes DataWarehouse
VM VM VM VM

Building Data Lakes
Scale-Out In Memory Data Grids, Backed By Scale-Out HDFS
VM VM VM VM

3RD Platform Storage For Mobile
Moving To Object-based Storage Infrastructure

Cloud Gateway
(Storage Tiering)
Cold Core Intelligent Tiering
Deployed Within The Data Center, Or To The Public Cloud
STORAGETIERING(FAST)
Hot Edge
Cold Core
HDD
Hot Edge
Warm Core
(XtremeIO)
Cold Core
HDD
Cold Core
Public Cloud

Dynamic Deployment Of Block/File/Object/SQL
Storage “VMs” Deployed By SDS
ViPR
Data Services
ViPR
Controller
STORAGE
CATALOGUE
Block
File
Object
Mobility
Replication
Dedup
SQL

Build/Deploy Apps Faster…
...Leveraging Data Fabric Toolsets
VM VM VM VM
APPLICATION
FABRIC
DATA
FABRIC
PLATFORM
AS A SERVICE

Mathematical Workload M&O
Internet
VM VM VM VM
VM VM VM VM
VM VM VM VM
VM VM VM VM
VM VM VM VM
VM VM VM VM

Building The Bridge
ViPR: Storage Arbitration For Both Platforms
PERFORMANCE & MISSION-CRITICAL APPS
Second Platform Infrastructure
VNX Isilon
3rd Party
VMAX XtremIO
ViPR Data
Services
VIPR
Controller
Third Platform Infrastructure
BIG DATA & ANALYTIC APPLICATIONS

Top IT Spending Priorities For 2014
Source: Barclays CIO Survey, September 2013

Major Players Are Building Technology “Stacks”
Network
Storage
Server
Virtualization
OS
Database
Middleware
Applications

ADVANCEDSECURITY
PIVOTAL LABS
PIVOTAL ONE
CLOUD FOUNDRY
END USER COMPUTING
SOFTWARE-DEFINED DATA CENTER
HYBRID CLOUD - vCHS
INFORMATION STORAGE & PROTECTION
INFORMATION SECURITY
INFORMATION INTELLIGENCE
Best Of Breed. Architected Horizontally, Not Vertically. Choice.
Our Strategy: Build A Differentiated Stack

Our Strategy Gives Customers Choice

EMC Global Presence
> 65,000 people in 90 countries
Melbourne, Australia
Rio de Janeiro, Brazil
Hopkinton, MA
Global Headquarters
Bedford, MA
Franklin, MA
Cambridge, MA
Roy, UT
Singapore
Durham, NC
Apex, NCIrvine, CA
Burlington, Ontario
Duluth, GA
Santa Clara, CA
Palo Alto, CA
Pleasanton, CA
Bangalore, India
Brentford, UK Vienna, Austria
Pau, France
Rotterdam, Netherlands
St. Petersburg, Russia
Cairo, Egypt
Tel Aviv,
Israel
Beijing, China
Shanghai, China
Tokyo, Japan
Seoul, S. Korea
Be'er Sheva,
Israel
R&D Center
Centers of Excellence
Customer Support Center
Executive Briefing Center
Global Solution and Engineering Center
Manufacturing Center
Direct Presence
Seattle, WA
Chengdu, China
as of October 18, 2013
Sydney, Australia
Cork, Ireland

Interoperable With Any Cloud
Orchestration Platform
ViPR
Data Services
ViPR
Controller
ViPR
Data Services
ViPR
Controller

Storage Bandwidth Control With SDN
Dynamic Control Of Backup, Mobility, & Replication Operations
TIME
BANDWIDTH
Reserved For Other Network Traffic
Reserved For VMware Clustering
Reserved For RecoverPoint
Reserved For Other Application
Reserved For VPLEX
OVERALL CAPACITY
AVAILABLE CAPACITY

Start Building Data Lakes
Scale-Out In Memory Data Grids, Backed By Scale-Out HDFS
VM VM VM VM

Server-Based Persistence
Hot Edge & Horizontal Data Stack/Services
Server-Based
Volatile
Server-Based
Non-Volatile
VMware vSAN
Small Clusters
ScaleIO
Thousands
ScaleIO + Cold Core
1000s

Vitaly Kozlovsky

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