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Oracle tech db-04-cost-effective-neum-16.04.2010
 

Oracle tech db-04-cost-effective-neum-16.04.2010

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    Oracle tech db-04-cost-effective-neum-16.04.2010 Oracle tech db-04-cost-effective-neum-16.04.2010 Presentation Transcript

    • <Insert Picture Here> Building A Cost Effective Information Management Environment Fatima Ovčina, Principal Sales Consultant, Oracle Corporation
    • 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
    • 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
    • Resource Lifecycle EGA Reference Model Provision Decommission Static or dynamic model Manage
    • Resource Lifecycle Vendor Enterprise Support Bugs etc. Accounting & Notifications, Policy Billing Patches etc. Assigns/Provi sions GME Reconciled Resources (other Manage Monitor Metrics Grid Components) Consumed Grid Generates Component
    • 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
    • Combined Grid-Virtualization Benefits Server Virtualization Oracle Grid Combined Grid- virtualiztion Consolidation Server level Servers, storage, data, Enhanced server level applications Resilience Software isolation No single point of failure No single point of failure Scaling Dynamic in server Dynamic across servers Dynamic in and across (clusters) servers Workload management Server Level Dynamic across clusters Dynamic across clusters Agility Dynamic resizing and Add/Drop server nodes on Dynamic resizing of virtual migration line nodes Management Server Level Centralized, end-to-end Centralized, end-to-end management across management across infrastructure infrastructure Enhanced benefits in italics
    • 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 • Sun Oracle Database Machine Storage • Automatic Storage Management • Oracle Advanced Compression • Exadata Storage Server Infrastructure • Oracle VM • Oracle Enterprise Linux Management • Oracle Enterprise Manager
    • Case Study: Mercado Libre eBay of Latin America Mercado Libre Number RAC Nodes vs Workload
    • David Apgar Business Continuity Planning High Availability Engineer Yahoo “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.”
    • Pressure to Streamline IT Operations Better Quality • Many organizations are 30% of Service below achievable IT productivity levels Enterprise Management Associates, 2007 Better Agility 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
    • Achieve Lowest Cost of Operations With Oracle Enterprise Manager • Reduce operational costs • With intelligent diagnostics and automation • Reduce database management costs by 40% • Reduce configuration management effort by 90% • Reduce patching and provisioning effort by up to 98% • Manage applications top-down • From business and end-user perspective • Avoid online revenue losses up to 25% • Maximize staff productivity by 10 times or more • Manage entire application lifecycle • With Application Quality Mgmt and Compliance Solutions • Reduce testing effort by up to 80% • Increase test coverage by 95%
    • 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.”
    • Case Study: University of Massachussetts Virtualization and Linux 5 campuses 75,000 students and faculty Before After Silo’d infrastructure “Shared infrastructure” (grid) 500 legacy servers 175 Linux servers 10% - 15% server utilization 70+% server utilization Dedicated App/Web tier 100% virtualized App/Web tier “Increasingly high risk due to “Significantly reduced risk management complexity” from ease-of-management and integrated failover” 30 - 60% reduction in TCO: lower CapEx, energy costs, HR cost avoidance
    • 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%
    • Reduce storage costs Data growth continues to outpace budget growth Rate of Database Growth 1000 Terabytes of Data 800 Actual 600 Projected 400 200 1998 2000 2002 2004 2006 2008 2010 Source: Winter TopTen Survey, Winter Corporation, Waltham MA, 2008.
    • Manage Data Growth Partition for performance, management and cost ORDERS TABLE (7 years) 2003 2008 2009 95% Less Active 5% Active Low End Storage Tier High End Storage Tier 2-3x less per terabyte
    • Sean Wiley CTO & Director EDS Applications Services EDS “Using partitioning with Oracle Database gives us a lot of advantages…we get the performance and management characteristics of a much smaller table within a larger data set."
    • Significantly Reduce Storage Usage Advanced OLTP Compression • Compress large application tables • Transaction processing, data warehousing • Compress all data types • Structured and unstructured data types • Improve query performance • Cascade storage savings throughout data center Up To 4X Compression
    • Mike Prince Chief Technology Officer Burlington Coat Factory “Our Chief Financial Officer likes the Advanced Compression option of Oracle Database 11g because with it we won't need two thirds of the disks we have right now.”
    • Oracle Maximum Availability Architecture HA Best Practices Blueprint Real Application Active Clusters Data Guard Secure Backups Data Guard to Tape or Cloud Automatic Storage Management Oracle Recovery Manager - Fast Recovery Area
    • Protect against loss through disaster Oracle Data Guard Real-time Queries Production Standby Database Database • Less expensive than remotely mirrored storage • Less network bandwidth required • Data corruptions not propagated • Standby database can be utilized
    • Jon Waldron Executive Architect Commonwealth Bank of Australia “High availability is absolutely essential for us…we now use Oracle RAC for instance failover, Data Guard for site failover, ASM to manage our storage, and Oracle Clusterware to hang the whole thing together.”
    • Efficiently backup and restore data Utilizing integrated tiered storage Regular Flash Secure Database Area Incremental Recovery Backups to Backup Area Cloud and Tape
    • Building Cost Effective Information Management Virtualization and clustering enable Lower CapEx & OpEx 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 Data compression Lower CapEx & Opex Information Lifecycle Management Lower CapEx “Zero idle” Maximum Availability architecture Lower CapEx & Opex