FLASH ARRAY MARKET TRENDS

FLASH ARRAY MARKET TRENDS EHUD ROKACH, CO-FOUNDER, XTREMIO DAVID FLOYER, CTO & CO-FOUNDER, WIKIBON 2

#1 IN SSA MARKET SHARE Latest Gartner research published 5/1/15 EMC is #1 with 31.1% share 19.2% share gain over 2013 >10% market share lead Accomplished in the first full year since XtremIO became Generally Available! 4

Why has this product been so successful? 5

XTREMIO SUDDEN IMPACT DATABASE APP 6

Fast isn t enough in the all-flash data center. Agility is key. 7

XTREMIO 15 SECOND PROVISIONING 1 2 CREATE VOLUMES CREATE INITIATOR GROUPS 3 MAP VOLUMES 8

WHAT PROBLEM ARE YOU SOLVING? = + Use Flash Go Fast (maybe solve economics) Get Smarter THE RIGHT ARCHITECTURE UNLOCKS UNIQUE BUSINESS VALUE 9

A DAY IN THE LIFE OF A VIRTUAL DATA CENTER Thousands of VMs = I/O blender Provisioning & Cloning new VMs VM Live Migration Operations 10

A TYPICAL APP ENVIRONMENT Multiple Applications Development Copy Production Database Test Multiple & QA Copies copies 11

COMMON THREADS Consolidation creates random performance issues Copying data is common VMs, databases, analytics Workflow complexity creating/managing copies MASSIVE OPPORTUNITY FOR IMPROVEMENT 12

Wikibon Premium.Wikibon.com Next Generation Flash Architecture & Management David Floyer CTO & Co-founder, Wikibon David.Floyer@Wikibon.org, @dfloyer May, 2015 13

AGENDA The Value of Rapid Response Time Benefits of Rapid Response Time Case Studies for All-Flash Arrays Flash Directions Impact of Data Sharing Importance of Scale-out Flash Architectures Recommendations 14

LOW RESPONSE TIMES MATTER 1 Source: Compiled by Wikibon from IBM's compilation downloaded April 2015 from http://www.vm.ibm.com/devpages/jelliott/evrrt.html 16

Productivity as a Function of Response Time 19

ALL-FLASH ARRAY CASE STUDIES US Distributor (Revere Electric in Chicago) 1 Epicor Eclypse ERP System Combined all workloads to Flash All Eclypse modules now run concurrently 20% INCREASE IN REVENUE 40 HEADCOUNT AVOIDED OVER 18 MONTHS 50% BENEFIT ATTRIBUTED TO IT 21

ALL-FLASH ARRAY CASE STUDIES US-based Independent Software Vendor 2 Combined Production & Development Workloads to XtremIO Implemented XtremIO for Continuous Development 20% MORE FEATURES PER RELEASE 600 1,800 BUILDS PER DAY 17% 2% BUILD FAILURE RATE 6 MONTH ON-DEMAND TIME TO VALUE FOR NEW FEATURES 22

ALL-FLASH ARRAY CASE STUDIES UK Financial Services Industry 3 Went 100% XtremIO in 2015 Bottlenecks all moved to CPU added servers and DB licenses Every developer has own full copy of production database 90 40 MINUTES CRITICAL BATCH PROCESS TIME 20:1 COPY DATA MANAGEMENT EFFICIENCY GAIN 5 50 INCREASE IN DEV DB COPIES DOUBLED EXPECTED DEVELOPER PRODUCTIVTY 23

STORAGE COSTS by Technology 25

DATA REDUCTION & SHARING by Technology 26

INFRASTRUCTURE COSTS by Technology 27

INFRASTRUCTURE COSTS by Technology Source: Wikibon http://wikibon.premium.com/ Evolution_of_All- Flash_Array_Architectures 28

THE CASE FOR ALL-FLASH ARRAYS Much faster response time for all applications (end-user productivity) Ability to deploy new applications where OLTP is mixed with Inline Analytics 6X COST REDUCTION FROM DATA SHARING & COPY ELIMINATION 4X REDUCTION FROM COMPRESSION & DEDUPLICATION 24X REDUCTION POTENTIAL IN RAW STORAGE NEEDS 29

FLASH ARRAY GENERATIONS GEN1 GEN2 GEN3 GEN4 Exploitation of SSD within Existing HDD Arrays EMC SSD 2008 EMC FAST-VP Hybrid Architectures Tintrí introduced flash-first design EMC VNX All-Flash Arrays with Traditional Dual Controllers Copy of Traditional HDD Controller/Cache IBM FlashSystems (Very low latency) Pure Storage (data reduction) Cisco Whiptail, EMC VNX-F, IBM TMS, NetApp EF-Series, Nimbus, Skyera, Violin Memory, etc. Scale-out Shared Data Architectures EMC XtremIO, Kaminario, SolidFire 31 31

GEN4 ARCHITECTURE REQUIREMENTS More data held in Array, greater savings in reducing copies o o Scale out architecture Dynamic addition of capacity No tiering required for 95%+ of data Simple tiering only required for <5% of data with: o o o Very low change rate Low historical data access No dynamic requirement for transfer Full data reduction techniques multiply benefits by amount of reuse AFA must use snapshot change management (vs. traditional replication by application and copy of data) Virtualization & Sharing of Data requires extremely high levels of metadata protection o Accidental loss, Microcode failure, Technology failure o Malicious long-term/short-term hacking 32 32

GEN4 MANAGEMENT REQUIREMENTS Catalog of Data Copies, Snapshots, etc. o Catalog shared with Linked & Remote AFA arrays o Automated Backup & Recovery system Full access to data via Restful APIs for platform integration Extensive Quality of service management o Minimum & Maximum IOPS, Bandwidth & RT o Different QoS for snaps Full Application IO view Full IO monitoring o By application o By copy o % shared data o Etc. Full Orchestration & Workflow Automation support for Platforms Automated migration of unsuitable data to HDD o Option to retain Metadata at AFA 33 33

REASONS FOR SCALE-OUT Deliver the Performance Potential of Flash Greater Sharing of Data Greater Data Reduction Fewer Copies Simpler Data & Metadata Management Allows Migration to Continuous Development Allows Migration to Real-time ETL Allows Migration to In-line Analytics Allows Next-generation Applications with 1,000x Database Calls 34

CONCLUSIONS & RECOMENDATIONS Plan Implementation of an Electronic Data Center as a Strategic Imperative Measure & Minimize # Physical Copies of Data Plan to Combine Transactional, Data Warehouse & Development Data by Application Plan to Completely Revamp Application Development Infrastructure & Practice Completely Revamp Application Architecture Business & IT Plan to Double IT Productivity & Double Productivity of Application Users 35

A TYPICAL APP ENVIRONMENT 10TB 10TB 10TB 10TB 10TB 10TB 10TB Brute force cloning of 6 copies = 60TB of data Time consuming refreshes / reverts Cost limits scale 37

AN XTREMIO APP ENVIRONMENT 5TB Instant snapshot copies all space efficient Instant refreshes / reverts Near-zero cost increases scale 38

TRANSFORMATIONAL AGILITY SCALE-OUT PERFORMANCE ALL SLAs INSTANT, FAST, SPACE EFFICIENT INSTANT, FAST, SPACE- EFFICIENT XTREMIO FLASH FOR ENTIRE LIFECYCLE DEV INST 1 DEV INST 1 DEV INST 1 DEV INST 1 DEV INST 1 DEV INST 1 DEV INST 1 DEV INST 1 DEV INST 1 DEV INST 1 FIN COPY FIN COPY REPORTS MORE BUSINESS PRODUCTIVITY DEV INST 2 DEV INST 2 DEV INST 2 DEV INST 2 DEV INST 2 DEV INST 2 DEV INST 2 DEV INST 2 DEV INST 2 DEV INST 2 OPS COPY OPS COPY ANALYTICS DEV INST 3 DEV INST 3 DEV INST 3 DEV INST 3 DEV INST 3 DEV INST 3 DEV INST 3 DEV INST 3 TEST/DEV COPIES DEV INST 3 DEV INST 3 HIGH PERFORMANCE PRODUCTION SALES COPY SALES COPY ANALYTICS COPIES TRENDS FASTER APPLICATION DEVELOPMENT MORE COPIES? WHY NOT? 39

XTREMIO IS REDEFINING POSSIBLE A COMPETITIVE ADVANTAGE FOR OUR CLIENTS COMPETITIVE AGILITY Real-time analytics & Reporting ACCELERATE Real-time development More time for innovation INFRASTRUCTURE AGILITY CONSOLIDATE No Mechanical Disk No Architecting Anything No Performance Tuning Near-Zero storage management BEST TCO 75% lower OPEX Reduced CAPEX 2x longer storage lifecycle All Inclusive SW Licensing 20-40% app license & server reducti SIMPLIFY 40

THANK YOU! QUESTIONS? 41