ווירטואליזציה להאצת המערכות הרפואיות
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1 EMC ווירטואליזציה להאצת המערכות הרפואיות Arik Levy Flash כ"ז.חשון.תשע "ה Matrix IT work Copyright Do Do not not remove source source or Attribution or Attribution from any from graphic any graphic or portion or of portion graphic of graphic
2 Enterprises Are Being Redefined By Software 2
3 BUSINESS 3
4 INFRASTRUCTURE I think the pic is maybe more of a hybrid cloud thing (maybe label it as well) HYBRID CLOUD 4
5 Workload Diversification Drives Infrastructure Innovation 5
6 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 6
7 Platform Application Characteristics Source: IDC, 2012 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 7
8 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 LAN/Internet Client/Server 70% By 2016 Transactional Consistency Little Tolerance For Data Loss Infrastructure-Based Resiliency Source: IDC,
9 How has this been driving our Portfolio Strategy 9
10 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 10
11 11
12 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 12
13 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 Mid-Tier Architecture Multi-Controller Grid Shared Meta-Data Enterprise Architecture Independent Controllers Distributed Meta-Data Large Content Repositories Independent Controllers Distributed Meta-Data Non-Transactional Commits VNX VMAX Isilon XtremIO Isilon vsan 13
14 How do we apply this knowledge to Application Workloads 14
15 Workload EMC Storage Drive Portfolio Architectures - Today Not Vice Versa Shared Nothing Shared Nothing XtremSF XtremSW SIMPLE DATA SERVICES Atmos Loosely Coupled Scale-Out Tightly Coupled Scale-Out Isilon XtremIO Dual Controller Scale Up/Down VNX Loosely Coupled Scale-Out Tightly Coupled Scale-Out VMAX ADVANCED DATA SERVICES Data Domain Avamar & NetWorker 15
16 How FLASH can help you 16
17 XtremIO #1 All-Flash Array in the Market Gartner Magic Quadrant Leader >$200,000,000 <8 months >70PB sold >500 customers >99.999% Reliability 17
18 What Is The #1 Benefit of This Car? DID YOU CONSIDER? Only one moving part No oil changes 0-60 in 4.4 sec Lowest center of gravity Silent, zero emissions More interior space DID YOU SAY Five star crash ratings NEEDS NO GAS? Tax Rebates Access to carpool lanes What Is The #1 Benefit of XtremIO? DID YOU CONSIDER? Data reduction Simpler to configure No tuning or hotspots More reliable Green- power & space efficient Space-efficient snapshots DID YOU SAY Lowest TCO really! PERFORMANCE? Entirely new application services 18
19 Clean Sheet Designs Lead To Big Leaps Forward 19
20 Product Family, Linear Scale-Out 900K MIXED IOPS 1.5M READ IOPS <1MS Latency 150K MIXED IOPS 250K READ IOPS <1MS Latency SCALE-OUT TB based on 10 & 20 TB X-Bricks <1MS LATENCY. RICH DATA SERVICES. NO TUNING. 20
21 Inline Deduplication Lower Cost While Increasing Performance & Reliability Always on, inherent function Scales-out Truly inline, global, always on Improves array performance Lowers $/GB, $/App Extends flash endurance 21
22 Inline Compression UP 4X MORE TO CAPACITY VIRTUAL SERVERS DATABASES VIRTUAL DESKTOPS MORE VDI VMs MORE ORACLE & SQL Server 22
23 XtremIO Data Protection (XDP) Designed for SSD No legacy RAID baggage Highly efficient- only 8% overhead Lowest write amplification SSDs may fail in place No configuration No hot spares Adapts to failures 23
24 XtremIO Unstoppable Data Services Always-On, Inline, Zero Penalty, Free ALWAYS-ON THIN PROVISIONING INLINE DEDUPLICATION INLINE COMPRESSION XTREMIO DATA PROTECTION INLINE DATA AT REST ENCRYPTION AGILE WRITEABLE SNAPSHOTS 24
25 Agile Writeable Snapshots 100% IN-MEMORY Any topology Instant creation Instant deletion 100% PERFORMANCE Identical read IOPS Identical write IOPS Identical latency INCREDIBLE SCALE Instant application clones to petabyte scale 100% SPACE EFFICIENT No space reservations No metadata bloat 100% OPTIMIZED Identical data services Always on, always inline UNMATCHED Use XtremIO where allflash arrays were never before viable 25
26 Petabyte-Scale Flash Workloads Today 540TiB 90TiB EFFECTIVE USABLE INLINE DEDUPLICATION 6:1 INLINE COMPRESSION S C A L E O U T DATA REDUCTION = 540TiB = EFFECTIVE SCALE-OUT IOPS IN ABUNDANCE PETABYTES OF USABLE XTREMIO 26
27 VPLEX RecoverPoint ViPR RecoverPoint for VMs PowerPath vsphere EMC ECOSYSTEM INTEGRATION ViPR SRM VSPEX: VDI VCE Vblock VDI VCE Vblock Database & Consolidation 27
28 Matrix IT work Copyright Do not remove source or Attribution from any graphic or portion of graphic שאלות?
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