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DB 11g R2 Keynote: Consolidate On Low Cost Server And Storage Grids
 

DB 11g R2 Keynote: Consolidate On Low Cost Server And Storage Grids

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Luís Ganhão Keynote on 11gR2 Launch @ Lisbon

Luís Ganhão Keynote on 11gR2 Launch @ Lisbon

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    DB 11g R2 Keynote: Consolidate On Low Cost Server And Storage Grids DB 11g R2 Keynote: Consolidate On Low Cost Server And Storage Grids Presentation Transcript

    • <Insert Picture Here> Consolidate on Low Cost Servers and Storage Grids Luís Ganhão Sales Consultant Senior Manager
    • The Traditional Data Center • Dedicated silos are inefficient • Sized for peak load Middleware • Constrained performance Database • Difficult to scale • Expensive to manage 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 Virtualization and clustering Lower CapEx & OpEx enable consolidation Pay-as-you-go scale-out Avoid upfront CapEx & OpEx High Quality of Service Avoid lost user productivity, improve customer service Automated grid management Raise IT staff efficiency, lower OpEx
    • Consolidation with Grid Computing Application A Application B Application C Application D Application E Workload Avg Utilization <20% • Take advantage of complementary workload peaks Server A Server B Server C Server D Server E • Higher utilization rates and efficiency Virtualization and clustering enable consolidation • Lower CapEx & OpEx Oracle Shared Instance Applications A, B, C, D, E • Green footprint Net Avg Utilization Workload 70% Freed capacity to deploy elsewhere Server A Server B Server C Server D Server E
    • Scale Out with Grid Computing Oracle Shared Instance Applications A, B, C, D, E • Pay-as-you-go scale-out • Lower upfront CapEx and Net Workload If utilization too high, increase capacity ongoing OpEx • Green footprint • Rightsized capacity planning Server A Server B Server C Server D • Smaller, standard machines Scale-out on-demand running at higher utilization • World-class clustering at all levels: • Defer equipment procurement database, middleware, storage • Exploit advances in hardware • Add/Remove nodes on-demand price-performance and energy efficiency • Scale out as workload increases
    • Quality of Service with Grid Computing Oracle Shared Instance Applications A, B, C, D, E • Systematic high Quality of Service Net Workload • Reliability through redundancy Server A Server B Server C Server D Server E • Predictable performance at any scale High performance and availability • High availability – every • Load balancing • Disaster recovery application gets HA • Failover • Rolling upgrades • Active-Active operation
    • Efficient Management with Grid Computing • Deploy standard virtual machine images quickly and easily • Expedited provisioning and patching • Manage Quality of Service from end- user perspective • Automated diagnostics and tuning • Real-time and predictive monitoring • Comprehensive testing and validation
    • Most Complete Grid Stack in the Industry Grid Computing in All Tiers Middleware • Application Grid • WebLogic Server • Coherence In-Memory Data Grid • JRockit Real Time • Tuxedo Database • Real Application Clusters • In-Memory Database Cache • HP Oracle Database Machine Storage • Automatic Storage Management • Oracle Advanced Compression • Exadata Storage Server Infrastructure • Oracle VM • Oracle Enterprise Linux Management • Oracle Enterprise Manager
    • Oracle Real Application Clusters Beats SMP Premium, Pay as you Grow Year 1 Year 2 Year 3 Year 4 Year 5 Large SMP High Upfront Cost High Ongoing Maintenance Costs Diminishing Returns RAC Cluster + + Low Cost Building Blocks Lowest TCO Greener and More Powerful
    • Case Study: Mercado Libre eBay of Latin America Mercado Libre Number RAC Nodes vs Workload
    • Automatic Storage Management Lowers the Cost of Data Management Database Grid Storage Grid Automatic Storage Management • Virtualize and share storage resources • Advanced data striping for maximum I/O performance • Online addition and migration of storage © 2009 Oracle Corporation
    • Grid Concepts in Middleware APPLICATION GRID Develop and Deploy to Application Grid Custom Packaged C/C++/ • Economies of SOA Svc Legacy App App COBOL Scale • Proven to Outperform Application Grid • Lowest Risk • High Availability Virtualization Virtualization Architecture © 2009 Oracle Corporation
    • Grid Concepts in Middleware APPLICATION GRID Develop and Deploy to Application Grid Custom Packaged C/C++/ SOA Svc Legacy App App COBOL WebLogic Tuxedo Server Coherence Enterprise Manager JRockit Virtualization Virtualization © 2009 Oracle Corporation
    • Linux and Virtualization Lowest Cost Platform Oracle Enterprise Linux Unbreakable Linux Support Dedicated engineering team Free Oracle Management pack for Linux Faster Deployment Oracle Validated Configurations for Linux and Oracle VM Oracle VM Oracle VM templates 24X7 support, 145 countries, 27 languages Free to download, use and distribute Real-world testing and validation
    • RAC One Node Better Virtualization for Databases • A virtualized single instance database • Delivers value of server virtualization to databases on physical servers • Live migration of instances across servers • Rolling patches for single instance databases • Built-in cluster failover for high availability • Online upgrade to RAC • Standardized deployment across all Oracle databases
    • RAC One Node Deployment Server A Server B Server C DB1 DB2 DB3 DB4 DB5 Common Shared Storage Single Cluster
    • Omotion Client Connections Server A Server B Server C DB1 DB2 DB3 DB4 DB5 Common Shared Storage Single Cluster
    • Omotion Client Connections Server A Server B Server C DB1 DB2 DB2 DB3 DB4 DB5 Common Shared Storage Single Cluster
    • Omotion Client Connections Server A Server B Server C DB1 DB2 DB2 DB3 DB4 DB5 Common Shared Storage Single Cluster
    • Omotion Client Connections Server A Server B Server C DB1 DB2 DB3 DB4 DB5 Common Shared Storage Single Cluster
    • Cluster Failover Server A Server B Server C DB1 DB2 DB3 DB4 Common Shared Storage Single Cluster
    • Cluster Failover Server A Server B Server C DB1 DB2 DB3 DB4 Common Shared Storage Single Cluster
    • Cluster Failover Server A Server B Server C DB1 DB2 DB3 DB4 Common Shared Storage Single Cluster
    • Andreas Stephan Senior DBA Consultant Bayer Business Service “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.”
    • Pressure to Streamline IT Operations Better Quality of Service • Many organizations are 30% below achievable IT productivity levels Enterprise Management Associates, 2007 Better Agility Better Agility Lower Risk Lower Risk • 40% of CIOs surveyed cite lack IT of automation tools Operations Enterprise Management Associates, 2007 • 60%–70% of IT budget is spent on operations and maintenance Lower CIO Magazine, 2007 Operational Cost
    • Case Study: Oracle IT Cost Savings using Oracle VM • 83% reduction in hardware • CPU utilization increased from 7% to 73% • Revenue per server increase 5X • Floor space consumption reduced 50% • Data center power consumption reduced 40% • Greatly simplified server refresh 1300 environments automatically provisioned weekly • Servers to administrator ratio increased 10X • SaaS and hosting/management services • 67% reduction in hardware • CPU utilization increased from 9% to 55%
    • Grid Economics for the Data Center Takeaways Virtualization and clustering Lower CapEx & OpEx enable consolidation Pay-as-you-go scale-out Avoid upfront CapEx & OpEx High Quality of Service Avoid lost user productivity, improve customer service Automated grid management Raise IT staff efficiency, lower OpEx