Redefining Enterprise Storage: EMC Storage Strategy

Transcription

1 Redefining Enterprise Storage: EMC Storage Strategy 1

2 BILLIONS OF USERS MILLIONS OF APPS Mobile Cloud Big Data Social Mobile Devices HUNDREDS OF MILLIONS OF USERS TENS OF THOUSANDS OF APPS LAN/Internet PC Client/Server MILLIONS OF USERS THOUSANDS OF APPS Source: IDC, 2012 Mainframe, Mini Computer Terminals 2

3 Platform Application Characteristics Mobile Cloud Big Data Social Mobile Devices LAN/Internet PC 700% By 2016 Client/Server 70% By 2016 HDFS / Object Storage Eventual Consistency Tolerance For Data Loss Application-Based Resiliency Block / File Storage Transactional Consistency Little Tolerance For Data Loss Infrastructure-Based Resiliency Source: IDC,

4 Platform Application Characteristics HDFS / Object Storage 700% By 2016 Eventual Consistency Tolerance For Data Loss Mobile Cloud Big Data Social Mobile Devices Application-Based Resiliency Block / File Storage Source: IDC, 2012 LAN/Internet PC Client/Server 70% By 2016 Transactional Consistency Little Tolerance For Data Loss Infrastructure-Based Resiliency 4

5 How has this been driving our Portfolio Strategy 5

6 Workloads Have Different Requirements High Performance Computing Full Motion Video Tech Apps Application Development Decision Support VM Infrastructure Transaction Processing SIMPLE DATA SERVICES Home Directories ADVANCED DATA SERVICES Storage As-A-Service Online Archive Web Apps IT Applications Content Management 6

7 This Requires a Diverse Storage Portfolio ScaleIO SIMPLE DATA SERVICES Storage As-A-Service VSAN High Performance Computing Full Motion Video Online Archive ECS Tech Apps Web Apps Isilon XtremIO Application Development Home Directories IT Applications Decision Support VNX Content Management VM Infrastructure Transaction Processing VMAX ADVANCED DATA SERVICES Data Protection Solutions 7

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9 The Four Storage Architectures Clustered Scale Up & Down TYPE 1 Tightly Coupled Scale Out TYPE 2 Loosely Coupled Scale Out TYPE 3 Distributed Share Nothing TYPE 4 Dual Controller Shared Meta-Data Transactional Commits General Purpose Storage Multi-Controller Grid Shared Meta-Data Transactional Commits Mission Critical Workloads Independent Controllers Distributed Meta-Data Transactional Commits Large Content Repositories Independent Controllers Distributed Meta-Data Non-Transactional Commits 3 rd Platform Applications 9

10 Architecture In-Depth Clustered Scale Up & Down TYPE 1 Cost Efficient Broad Integration Dual Controller Shared Meta-Data Transactional Commits General Purpose Storage Scale Out Solution Integration $/IOPS Available Scale Out Latency $/GB Aggregate Performance Aggregate Performance VNX 10

11 Architecture In-Depth Tightly Coupled Scale Out TYPE 2 Multi-Controller Grid Shared Meta-Data Transactional Commits Mission Critical Workloads Scale Out Solution Integration $/IOPS $/GB Predictable Latency Very High Reliability Dozens of Nodes Cost of Entry $/IO & $/GB Aggregate performance Latency VMAX XtremIO 11

12 XtremIO Features Always-On, Inline, Zero Penalty, Free services ALWAYS-ON THIN PROVISIONING INLINE DEDUPLICATION INLINE COMPRESSION XTREMIO DATA PROTECTION INLINE DATA AT REST ENCRYPTION AGILE WRITEABLE SNAPSHOTS 12

13 Factory Preconfigured SCALE WITHOUT COMPROMISE 100% Virtual Provisioned 100K 200K 400K Available All Flash Configurations CONVERGED DATA SERVICES 13

14 LOW LATENCY Flash optimized NO DOWNTIME Always On availability BUSINESS ORIENTED 1-Click Service Levels CLOUD SCALE 1,000 to 40,000 VMs SNAPS AT SCALE Zero Impact Copies REDUCED COMPLEXITY Storage Hypervisor FLEXIBILITY Dynamic Virtual Matrix RAPID RECOVERY ProtectPoint EFFICIENCY Mobility 14

15 Architecture In-Depth Loosely Coupled Scale Out TYPE 3 Independent Controllers Distributed Meta-Data Transactional Commits Large Content Repositories Solution Integration $/IOPS Hundreds of Nodes Low $/GB Aggregate Performance Latency Scale Out $/GB Entry Point Price Latency Aggregate Performance Isilon 15

16 ScaleIO Turns DAS Into A Server SAN Convergence - of storage and compute Scale-out - to thousands of servers Elastic - add/remove servers & capacity on-the-fly Performance - massive I/O parallelism 16

17 Architecture In-Depth Distributed Share Nothing TYPE 4 Simple and Invisible Low Cost of Entry Independent Controllers Distributed Meta-Data Non-Transactional Commits 3 rd Platform Applications Solution Integration Scale Out $/IOPS $/GB Incremental Scale Data Services Enterprise Availability ECS Latency Aggregate Performance 17

18 The Four Storage Architectures Clustered Scale Up & Down TYPE 1 Tightly Coupled Scale Out TYPE 2 Loosely Coupled Scale Out TYPE 3 Distributed Share Nothing TYPE 4 Dual Controller Sharedx Meta-Data Transactional Federation Commits Layer General Purpose Storage Transactional Commits Multi-Controller Grid Shared Meta-Data Transactional Commits Mission Critical Workloads Transactional Commits Independent Controllers Distributed Meta-Data Transactional Commits Large Content Repositories Transactional Commits Independent Controllers Distributed Meta-Data Non-Transactional Commits 3 rd Platform Applications 18

19 How Do We Simplify The Management And Operations Of These Diverse Systems 19

20 SDS Data Planes Will Be Disruptive ScaleIO DCA Full Motion Video SIMPLE DATA SERVICES Storage As-A-Service High Performance Computing VSAN vvplex vvnx vonefs vrp Online Archive ECS Atmos Tech Apps Isilon Web Content XtremIO Application Development Home Directories VNX IT Applications Decision Support Content Management VM Infrastructure Transaction Processing VMAX ADVANCED DATA SERVICES Data Protection Solutions 20

21 Expanded Support : Native & OpenStack VIPR Controller NATIVE INTEGRATION VMAX EMC ScaleIO NetApp FAS IBM XIV IBM SVC IBM DS8000 Hitachi Dell VNX VBLOCK HP 3PAR HUS VM Equal-Logic HP Left-Hand Isilon XtremIO Hitachi VSP (Block) Solidfire ORACLE ZFS NetApp E-Series 21

22 Integrates With OpenStack & Microsoft Too VIPR Controller ViPR Data Services Commodity Hardware VMAX Storage Arrays VNX Isilon XIO 3 rd Party 22

23 Bridging The Gap Today s Data Center Traditional Applications Tomorrow s Data Center Next Gen Cloud Applications M M 30% M M 300% Reduce Operating Expenses Invest In New Model 23

24 ECS OBJECT, HDFS, BLOCK XTREMIO 3.0 ISILON S210 & X410 ViPR

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