Cloud Meets Big Data For VMware Environments

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1 Cloud Meets Big Data For VMware Environments <Phil King 1

2 Cloud Meets Big Data Cloud Architecture And Mission Critical Applications Oracle, Microsoft, SAP Big Data Impact On IT Infrastructure Scale-Out vs. Scale-Up Computing VMware = The Core Platform For IT Seamless Mobility And Control Across Applications 2

3 CLOUD COMPUTING

4 4 Application Environments Historically Physical Infrastructure Limits Value Challenges Different environments (prod/test/dev) Limits on Performance Multiple software versions Physical silos of servers and storage Underutilized Hardware Complex Recovery Management Complexity

5 5 Strong Momentum Virtualizing Business Critical Applications % Of Workload Instances Running on VMware 80% 70% 60% 67% 50% 40% 30% 20% 10% 38% 42% 53% 43% 47% 34% 25% 25% 28% 28% 18% 0% Microsoft Exchange Microsoft SharePoint Microsoft SQL Oracle Middleware Oracle DB SAP

6 Why Virtualize Applications? Cost Savings And Service Quality Improvement 6 Cost savings Service improvement Both Neither Oracle database 24% 11% 57% 8% MS Exchange 20% 17% 60% 4% SAP 20% 20% 56% 4% SQL database 19% 14% 64% 3% Custom enterprise apps 14% 14% 65% 7% Oracle enterprise apps 14% 14% 65% 7%

7 Cloud A New Architecture Old World Physical New World Virtual Dedicated, Vertical Stacks Dynamic Pools Of Compute & Storage 7

8 vcenter vcenter Virtual Storage Requirements Cloud Infrastructure vfabric vfabric vsphere vsphere VMware Integration Automated Storage Tiering Dynamic Pools Of Compute & Storage Flash SATA 8

9 The Performance Gap Challenge CPU Improves 100 Times Every Decade; HDD Remains Flat MOORE S LAW: 100x PER DECADE CPU Continues To Improve While Disk Drive Performance Remains Flat As A Result, Applications Will Increasingly Suffer Unless We Rapidly Move To Flash EMC Proven Solution are Powered by 100-times Improved FLASH 10,000-times Improved

10 Flash And EMC FAST Automation Optimizes Production Application Environments FAST Cache continuously ensures that the MANUAL hottest data PROCESS is served from high performance Flash SSDs FAST VP Oracle (Virtual Exchange Pools)* optimizes SQL storage server pools automatically, server server ensuring that active data is being served from SSDs, while cold data is moved to lower cost disk EMC Proven Solution Results: 150% more OLTP TPM 3X more Static users Association Of 80% Disk faster Groups tuning To Applications Based On Best Gues Powered by 100% AUTOMATED Oracle Microsoft SAP SSD FAST SAS Cache & FAST VP NL- SAS Dynamic, Self-Optimizing Storage Pools Based On Actual Data Activity 10

11 EMC VFCache For Virtualized Server Performance Server Flash caching solution that uses intelligent caching software and PCIe Flash technology to reduce latency and increase throughput Extends EMC FAST To The Server Layer Hottest data accessed on the PCIe card in the server increasing performance EMC Proven Solution Results: 200% more TPM 60% decrease in latency 50% more IO serviced within 1 ms or less Powered by VFCache VFCache VFCache VFCache 11

12 12 Virtualized Production Applications Synopsis SAP production runtime increased by 9x through FAST Database response efficiency increased 470% CLAL Insurance Doubled Oracle server utilization from 15-20% to nearly 50% Increased database performance and mobility with VMware Vanderbilt Virtualized SQL Server FAST Cache deployed 78% of all I/O serviced by just 1.6% EFD

13 Capability Maximize Application Quality of Service IMPOVE BACKUPS Off-load backups to dedicated storage device Maintain use of native backup management tools De-Duplication SIMPLIFY REPLICATION Snaps and clones for recovery and multi-tasks Server failover and maintenance Self-service for DBAs Storage and Server Replication ACCELERATE RECOVERY Protect all application tiers with one solution Recover applications to any point-in-time locally or remotely Application Recovery Quality of Service 13

14 Deduplication Improves Backup Efficiency Perform More Full And Incremental Backups With Less Disk Production Dedupe & Compress DD Boost EMC Data Domain DD800 Appliance EMC Networker Remote Site Up to 50% faster backup Throughput of up to 26.3 TB/Hour Send only de-duped and compressed data over network Ex: 40:1 de-dupe ratio reduces cost Improved recoverability Instant restore and rollback Extended online backup retention No changes to backup scripts, processes or system architecture 14

15 Simplify Data Replication Virtual Server Server A Production Snap or Clone vmotion CloneDB CloneDB Clone Virtual Server Server B Replicate data in minutes vs. hours Clones for full, consistent recovery Snaps for space efficiency GUI interface enables DBA control Combined with VMware: Move workload within or across virtual servers transparently Provision production or test/dev servers in minutes vs. hours Perform maintenance on servers without application downtime 15

16 Virtualized Backup, Recovery, Deduplication 16 Washington Trust 95% de-duplication of backup 10:1 server consolidation New database deployment in <1 hour Swedbank 95% faster deployment of test and development Deployed more Oracle software on the same host increases ROI

17 CONTROLCENTER: END-TO-END VISIBILITY AND CONTROL Standardize Visibility And Control EMC Control Center VMware ESX Servers VMware VMware VMware SAN Physical or Virtual Storage End-to-end visibility and control across physical and virtual environments Analyze SAN topologies and relationships across your virtual and physical environment Monitor impact of FAST policies across all virtualized application environments Monitor alerts and view properties for both physical and virtual objects Track capacity consumption and perform chargeback reporting Symmetrix VNX Third party 17

18 EMC Virtual Storage Integrator (VSI) for VMware vsphere VM Administrator Control OF VNX/VNXe storage Create VMFS datastores (iscsi, FC, FCoE) Create RDM Volumes (iscsi, FC, FCoE) Create NFS datastores Configure FAST-VP Tiering Policies Legacy support for Celerra and CLARiiON Clone virtual machines (VNX File) Provision cloned VMs to VMware View Refresh desktops in VMware View Compress virtual machines (VNX File) Reduce the storage space for VMs through VNX File Deduplication and Compression Uncompress VMs on demand Celerra 18

19 Big Data Impact On Virtual Infrastructure 19

20 New Big Data Applications Structured Data Enterprise Applications Clickstream Analysis Unstructured Data Social Graphing Genomics Movie Seismic Rendering Exploration Cloud Infrastructure Cloud Infrastructure VMAX VNX? 20

21 Big Data In Enterprise Applications Example Big Data Sources Large Scale Test, Development Large Home Directories Unstructured Data By 2012, 80% of all storage capacity sold will be for file-based Source: IDC data EMC Proven Solution are Powered by 21

22 22 Data goes global

23 23 Pressure from new markets 5.9 billion mobile subscribers (87% of world) - 30% in China/India 1.9 billion have smartphones 1.2 billion use smartphones on the internet Forrester predict 2 billion PCs and laptops in use by million ipads will be sold in 2012, accessing 300k apps Other viable devices include thin client terminals, most new internet enabled TVs, Xboxes and playstations... Current addressable market driven by c.4bn viable end point devices. When VMware first launched VDI in 2005, they foresaw 500m viable endpoints by 2010.

24 EMC Isilon. Record Capacity. Record Scalability. Remarkable Simplicity. 24

25 BALANC ED EMPTY FULL EMPTY FULL EMPTY FULL EMPTY FULL EMPTY BALANCE D BALANCE D BALANC ED BALANCE D Seamless Scale-Out For VMware With Isilon Uneven Utilization/Complex To Scale Isilon Single Volume Simplicity 60 sec Upgrade Many Systems or 2-way clusters Many File Systems and Volumes Many Points of Management Directories and files striped across nodes in a single volume 25

26 Big Data Storage For Big Data Applications Structured Data Enterprise Applications Unstructured Data Big Data Applications Cloud Infrastructure Cloud Infrastructure VMAX VNX Isilon EMC Proven Solution are Powered by 26

27 Next-Generation Cloud Infrastructure Enterprise Applications Big Data Applications Cloud Infrastructure Fully Automated Storage Tiering (FAST) vmotion Compute Tier Storage Tier 27

28 Cloud Meets Big Data Cloud Architecture Is Ready For Mission Critical Apps More Performance And Easier Management Big Data Requires New Approach To Infrastructure Isilon = Scale Out Infrastructure Standard For Big Data VMware = Platform For Cloud + Big Data Seamless Mobility And Control Across Applications 28

29 29 THANK YOU

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