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Grid Economics for the Data Center George Demarest Senior Director, Technology Product Marketing Grid Economics Forum
The following is intended to outline our general product direction.  It is intended for information purposes only, and may not be incorporated into any contract.  It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
The Traditional Data Center ,[object Object],[object Object],[object Object],[object Object],[object Object],Middleware Database Storage Dedicated Stacks
Grid Computing  Virtualizes and Pools IT Resources
Virtualization and Clustering Key techniques for capacity rightsizing and efficient management
Grid Economics for the Data Center ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Consolidation with Grid Computing Server A Server B Server C Server D Application A Application B Application C Application D Workload Avg Utilization <20% Applications A, B, C, D, E Net Workload Avg Utilization 70% Freed capacity to deploy elsewhere ,[object Object],[object Object],[object Object],[object Object],Oracle Shared Instance Server E Application E Server A Server B Server C Server D Server E Virtualization and clustering enable consolidation
Scale Out with Grid Computing Applications A, B, C, D, E Net Workload If utilization too high, increase capacity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Oracle Shared Instance Server A Server B Server C Server D ,[object Object],[object Object],[object Object],Scale-out on-demand
Quality of Service with Grid Computing Applications A, B, C, D, E Net Workload ,[object Object],[object Object],[object Object],[object Object],Oracle Shared Instance Server A Server B Server C Server D ,[object Object],[object Object],[object Object],High performance and availability  Server E ,[object Object],[object Object]
Efficient Management with  Grid Computing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Most Complete Grid Stack in the Industry Grid Computing in All Tiers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Oracle Real Application Clusters  Beats SMP Premium, Pay as you Grow Year 1 Year 2 Year 3 Year 4 Year 5 Large SMP RAC Cluster High Upfront Cost Low Cost Building Blocks Greener and More Powerful + + Lowest TCO Diminishing Returns High Ongoing Maintenance Costs
Case Study: Mercado Libre eBay of Latin America Mercado Libre Number RAC Nodes vs Workload
[object Object]
Oracle In-Memory Database Cache Extreme Performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Application Storage Grid With RAC Cached tables
Automatic Storage Management Lowers the Cost of Data Management ,[object Object],[object Object],[object Object],[object Object],Database Grid Storage Grid
Storage Optimization Cut Storage Costs by 70% ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Compression 4X Up To
“ One of the large Oracle RAC systems we have is a 16-node system with six storage nodes behind it….the uncompressed data within it is about a full petabyte worth of data. It's 200 terabytes compressed.” David Apgar   Business Continuity Planning High Availability Engineer   Yahoo
Grid Concepts in Middleware  Develop and Deploy to Application Grid ,[object Object],[object Object],[object Object],[object Object],Application Grid Custom App Packaged App SOA Svc C/C++/ COBOL Legacy Virtualization Virtualization APPLICATION GRID
Grid Concepts in Middleware  Develop and Deploy to Application Grid JRockit WebLogic  Server Tuxedo Coherence Custom App Packaged App SOA Svc C/C++/ COBOL Legacy Virtualization Virtualization Enterprise Manager APPLICATION GRID
[object Object],APPLICATION GRID
Pressure to Streamline IT Operations ,[object Object],[object Object],Better Quality  of Service Lower Operational Cost Better Agility Lower Risk ,[object Object],CIO Magazine , 2007 Enterprise Management Associates, 2007 Enterprise Management Associates, 2007 IT Operations
Achieve Lowest Cost of Operations   With Oracle Enterprise Manager ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
“ We manage thousands of databases and application servers with Enterprise Manager, and we have been able to reduce the time for provisioning software from 4 hours down to 1 hour, as well as reduce patch application time from 1 hour down to 1 minute per database. Enterprise Manager Grid Control allows us to automate this process, which translates into huge savings in time and money.” Andreas Stephan Senior DBA Consultant Bayer Business Service
[object Object],[object Object],APPLICATION GRID
Linux and Virtualization Lowest Cost Platform Oracle Enterprise Linux Dedicated engineering team Free Oracle Management pack for Linux Oracle VM Oracle Validated Configurations for Linux and Oracle VM  Faster Deployment Free to download, use and distribute Real-world testing and validation 24X7 support, 145 countries, 27 languages Unbreakable Linux Support Oracle VM  templates
[object Object],[object Object],[object Object],[object Object],Oracle VM Management ,[object Object],[object Object],[object Object]
Oracle VM Templates Rapid Application Deployment ,[object Object],[object Object],[object Object],Save days or weeks in installation and configuration time VM NAS, SAN, iSCSI Oracle VM Servers Oracle VM Server Pool VM VM VM E-Delivery Import to  Oracle VM  Manager VM 11g DB Start-Up in  Oracle VM Pool VM 11g DB VM Customize & Save as Golden Images VM 11g DB VM 11g DB VM 11g DB
Case Study: University of Massachussetts Virtualization and Linux 5 campuses  75,000 students and faculty Before After Silo’d infrastructure “ Shared infrastructure” (grid) 10% - 15% server utilization 70+% server utilization 500 legacy servers 175 Linux servers “ Increasingly high risk due to management complexity” “ Significantly reduced risk from ease-of-management and integrated failover” Dedicated App/Web tier 100% virtualized App/Web tier 30 - 60% reduction in TCO:   lower CapEx, energy costs, HR cost avoidance
Case Study: Oracle IT Cost Savings using Oracle VM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Solution Support Center ,[object Object],[object Object],[object Object],[object Object],A dedicated, virtual team providing continual operational improvement and unparalleled expertise in supporting the complete Oracle software stack.  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Grid Economics for the Data Center Takeaways ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 

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Grid Economics for Lowering IT Costs

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  • 2. Grid Economics for the Data Center George Demarest Senior Director, Technology Product Marketing Grid Economics Forum
  • 3. The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
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  • 5. Grid Computing Virtualizes and Pools IT Resources
  • 6. Virtualization and Clustering Key techniques for capacity rightsizing and efficient management
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  • 13. Oracle Real Application Clusters Beats SMP Premium, Pay as you Grow Year 1 Year 2 Year 3 Year 4 Year 5 Large SMP RAC Cluster High Upfront Cost Low Cost Building Blocks Greener and More Powerful + + Lowest TCO Diminishing Returns High Ongoing Maintenance Costs
  • 14. Case Study: Mercado Libre eBay of Latin America Mercado Libre Number RAC Nodes vs Workload
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  • 19. “ One of the large Oracle RAC systems we have is a 16-node system with six storage nodes behind it….the uncompressed data within it is about a full petabyte worth of data. It's 200 terabytes compressed.” David Apgar Business Continuity Planning High Availability Engineer Yahoo
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  • 21. Grid Concepts in Middleware Develop and Deploy to Application Grid JRockit WebLogic Server Tuxedo Coherence Custom App Packaged App SOA Svc C/C++/ COBOL Legacy Virtualization Virtualization Enterprise Manager APPLICATION GRID
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  • 25. “ We manage thousands of databases and application servers with Enterprise Manager, and we have been able to reduce the time for provisioning software from 4 hours down to 1 hour, as well as reduce patch application time from 1 hour down to 1 minute per database. Enterprise Manager Grid Control allows us to automate this process, which translates into huge savings in time and money.” Andreas Stephan Senior DBA Consultant Bayer Business Service
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  • 27. Linux and Virtualization Lowest Cost Platform Oracle Enterprise Linux Dedicated engineering team Free Oracle Management pack for Linux Oracle VM Oracle Validated Configurations for Linux and Oracle VM Faster Deployment Free to download, use and distribute Real-world testing and validation 24X7 support, 145 countries, 27 languages Unbreakable Linux Support Oracle VM templates
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  • 30. Case Study: University of Massachussetts Virtualization and Linux 5 campuses 75,000 students and faculty Before After Silo’d infrastructure “ Shared infrastructure” (grid) 10% - 15% server utilization 70+% server utilization 500 legacy servers 175 Linux servers “ Increasingly high risk due to management complexity” “ Significantly reduced risk from ease-of-management and integrated failover” Dedicated App/Web tier 100% virtualized App/Web tier 30 - 60% reduction in TCO: lower CapEx, energy costs, HR cost avoidance
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