THE DATA PLATFORM FOR THE CLOUD ERA SCOTT DIETZEN, CEO MATT KIXMOELLER, VP PRODUCTS BRIAN GOLD, CHIEF ARCHITECT

Transcription

1 THE DATA PLATFORM FOR THE CLOUD ERA SCOTT DIETZEN, CEO MATT KIXMOELLER, VP PRODUCTS BRIAN GOLD, CHIEF ARCHITECT

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3 THE DATA PLATFORM FOR THE CLOUD ERA We put data to work through cloud infrastructure that enables digital innovation. SPEED FASTER BUSINESS AND TIME-TO-MARKET INSIGHT GAIN ADVANTAGE FROM DATA AT SCALE AGILITY SIMPLIFY HYBRID CLOUD AND EMPOWER DEVELOPERS

4 CLOUD ERA STORAGE IS DIFFERENT LEGACY STORAGE CLOUD ERA STORAGE PERFORMANCE Disk-optimized (ms) MBs/sec of bandwidth per app Silicon-optimized (µs) GBs/sec of bandwidth per app APPLICATION ARCHITECTURE 10s to 100s of monolithic applications TBs of data siloed to each specific application 1,000s to 10,000s of composite applications sharing PBs of data SCALING 100s of TBs Capacity purchased up front before it is needed Elastic scale to PBs Pay as you grow with perpetual forward compatibility MANAGEMENT Manual, dedicated admin per dozen arrays Fully automated, no dedicated admins required SOFTWARE & EXTENSIBILITY Complex a la carte software, closed ecosystem Simple all-inclusive software + open development platform CONSUMPTION MODEL Re-buy new storage array every 3-5 years, manually migrate data Subscribe to software & hardware innovation, data stays in place 4

5 YoY REVENUE GAIN/LOSS EXTERNAL STORAGE (DISK + FLASH), Q Q % $M YoY QUARTERLY REVENUE GAIN/LOSS Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4-1.4% Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q Q2 Q3 Q4 Q1 Q4 Q1 Q2 Q Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q % % % PURE STORAGE INC. Source: IDC WW Quarterly Enterprise Storage Systems Tracker, Mar 2017

6 CUMULATIVE 3-YEAR MARKET SHARE GAIN/LOSS WORLDWIDE EXTERNAL ENTERPRISE STORAGE, % 2.0% 1.0% % MARKET SHARE 0.0% GAIN/LOSS % +$46M +0.1% -$126M +2.3% +$521M -1.0% -2.0% -3.0% -2.2% -$736M -2.9% -$861M -4.0% -5.0% 6-6.0% 2016 PURE STORAGE INC. Source: IDC WW Quarterly Enterprise Storage Systems Tracker, Mar 2017 NOTE: IDC began tracking Pure in 2014, 2013 numbers derived from Pure s Public S1-5.5% -$1,931M

7 CLOUD BASED MANAGEMENT PREDICTIVE ANALYTICS 24x7 PROACTIVE RESPONSE TRADITIONAL APPS VMs / CONTAINERS ANALYTICS WEBSCALE APPS HYBRID CLOUD DATA EXTENSIBILITY REST API OPEN PLATFORM THE DATA PLATFORM FOR THE CLOUD ERA DATA PROTOCOLS BLOCK VM / VVOL FILE OBJECT / S3 HTTPS DATA SERVICES REDUCE ASSURE SECURE PROTECT EFFORTLESS EFFICIENT EVERGREEN 7 DATA ENGINES FlashArray FlashBlade

8 THE PLATFORM SELLING ADVANTAGE CROSS-SELL / UP-SELL SAN à NAS Multi-BU Tier1 & Tier2 NEW USE CASES Analytics / Big Data Science & Engineering Fast Recovery BROADER CONSOLIDATION ROI Customers want 1 vendor All-flash ROI much scale Partners can concentrate business THE DATA PLATFORM FOR THE CLOUD ERA 8

9 EXAMPLE: THE DATA PLATFORM FOR HEALTHCARE VDI EMR PACS VDI + EMR + PACS PERFORMANCE NAS SAN SMB THE DATA PLATFORM FOR HEALTHCARE 10s TBs 100s TBs PBs 9

10 DATA PLATFORM INNOVATION MATT KIXMOELLER, VP PRODUCTS BRIAN GOLD, CHIEF ARCHITECT 10

11 WEBSCALE ARCHITECTURE REVOLUTION TRADITIONAL MONOLITHIC APPLICATIONS WEBSCALE COMPOSITE APPLICATIONS APPLICATION DATA PIPELINE DATABASE MONOLITHIC STORAGE BLOCK FILE OBJECT 11 Managed by IT Purchased/provisioned once Inflexible scale/upgrades Managed by developers Provisioned incrementally Scaled elastically & non-disruptively

12 WEBSCALE EXAMPLE: PURE S IoT STACK FOR PURE1 STREAM PROCESSING EXTRACT TRANSFORM LOAD DATA PIPELINE AD HOC QUERIES REAL-TIME ALERTS PURE1 MANAGE ENG & SUPPORT RAW LOGS CONTINUOUS BG SCAN FUSE MAP REDUCE BLOCK BLOCK DW SERVICE FILE / OBJECT HYBRID CLOUD INFRASTRUCTURE 12

13 THE DATA PLATFORM VISION FOR WEBSCALE APPLICATIONS REST DATA PIPELINE OPEN ENGINE VM CONTAINER BLOCK FILE OBJECT THE DATA PLATFORM FOR WEBSCALE APPS iscsi NVMe/f NFS SMB S3 HTTPS REDUCE ASSURE SECURE SCALE PROTECT (SNAP, REPLICATE) 13

14 WEBSCALE ON-PREM OR IN PUBLIC CLOUD PUBLIC CLOUD WEBSCALE ON PREM WEBSCALE HYBRID WEBSCALE DATA PIPELINE DATA PIPELINE DATA PIPELINE BLOCK FILE OBJECT BLOCK FILE OBJECT BLOCK FILE OBJECT EBS EFS S3 FlashArray FlashBlade FlashArray FlashBlade S3 MANAGED BY DEVELOPERS PROVISIONED INCREMENTALLY SCALED ELASTICALLY & NON-DISRUPTIVELY 14

15 PREDICTIONS: 4 DATA PLATFORM GROWTH DRIVERS 1. WEBSCALE APP RE-PATRIATION IS ON! CLOUD AGILITY GETS DEMOCRATIZED à ON-PREM LESS EXPENSIVE, HIGHER PERFORMANCE TRY PURE + VMWARE, HYPER-V, DOCKER, OR OPENSTACK! 2. EDGE DATA DRIVES THE ON-PREM NEED SENSOR DATA TOO BIG TO MOVE TO THE CLOUD 3. MOORE S LAW IS DEAD THE RISE OF HW/SW CO-DESIGN AT ALL TIERS, WILL RAISE THE STORAGE BAR 4. FUTURE APPS MUST BE MULTI-DATACENTER SYNCHRONOUS REPLICATION IS JUST THE BEGINNING DISK-TO-DISK-TO-TAPE à FLASH-TO-FLASH-TO-CLOUD PROTECTION & DEVOPS WORKFLOWS REBORN AS AN APPLICATION SERVICE 15

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