2. <Insert Picture Here>
Building A Cost Effective Information
Management Environment
Fatima Ovčina, Principal Sales Consultant, Oracle Corporation

3. 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

4. Grid Computing
Virtualizes and Pools IT Resources

5. 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

6. 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

7. 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

8. Resource Lifecycle
EGA Reference Model
Provision Decommission
Static or dynamic model
Manage

9. 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

10. 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

11. 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

12. 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

13. Case Study: Mercado Libre
eBay of Latin America
Mercado Libre
Number RAC Nodes vs Workload

14. 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.”

15. 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

16. 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%

17. 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.”

18. 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

19. 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%

20. 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.

21. 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

22. 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."

23. 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

24. 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.”

25. 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

26. 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

27. 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.”

28. Efficiently backup and restore data
Utilizing integrated tiered storage
Regular Flash Secure
Database Area Incremental Recovery Backups to
Backup Area Cloud and Tape

29. 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