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Building A Cost Effective Information Management EnvironmentFatima Ov čina, Principal Sales Consultant, Oracle Corporation

The Traditional Data Center

• Dedicated silos are inefficient

• Sized for peak load

• Constrained performance

• Difficult to scale

• Expensive to manage

Middleware

Database

Storage

Dedicated Stacks

Grid Computing Virtualizes and Pools IT Resources

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

NetWorkload

Avg Utilization70%

Freed capacity to deploy elsewhere

• Take advantage of complementary workload peaks

• Higher utilization rates and efficiency

• Lower CapEx & OpEx

• Green footprint

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

NetWorkload

If utilization too high,increase capacity

• Pay-as-you-go scale-out• Lower upfront CapEx and

ongoing OpEx• Green footprint

• Rightsized capacity planning• Smaller, standard machines

running at higher utilization

• Defer equipment procurement• Exploit advances in hardware

price-performance and energy efficiency

Oracle Shared Instance

Server A Server B Server C Server D

• World-class clustering at all levels: database, middleware, storage

• Add/Remove nodes on-demand

• Scale out as workload increases

Scale-out on-demand

Quality of Service with Grid Computing

Applications A, B, C, D, E

NetWorkload

• Systematic high Quality of Service

• Reliability through redundancy

• Predictable performance at any scale

• High availability – every application gets HA

Oracle Shared Instance

Server A Server B Server C Server D

• Load balancing

• Failover

• Active-Active operation

High performance and availability

Server E

• Disaster recovery

• Rolling upgrades

Resource LifecycleEGA Reference Model

ProvisionProvisionProvisionProvision DecommissionDecommissionDecommissionDecommission

ManageManageManageManage

Static or dynamic model

Resource Lifecycle

Manage Monitor

Accounting &Billing

PolicyNotifications,Patches etc.

EnterpriseVendorSupport

Assigns/Provisions

Consumed Generates

ReconciledGME

MetricsMetricsResources

(other Grid Components)

Resources(other

Grid Components)

GridComponent

Bugs etc.

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, applications

Enhanced server level

Resilience Software isolation No single point of failure No single point of failure

Scaling Dynamic in server Dynamic across servers (clusters)

Dynamic in and across servers

Workload management Server Level Dynamic across clusters Dynamic across clusters

Agility Dynamic resizing and migration

Add/Drop server nodes on line

Dynamic resizing of virtual nodes

Management Server Level Centralized, end-to-end management across infrastructure

Centralized, end-to-end management across infrastructure

Enhanced benefits in italics

Most Complete Grid Stack in the IndustryGrid 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 LibreeBay of Latin America

Mercado LibreNumber RAC Nodes vs Workload

“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 ApgarBusiness Continuity PlanningHigh Availability EngineerYahoo

• 40% of CIOs surveyed cite lack of automation tools

• 60%–70% of IT budget is spent on operations and maintenance

ITOperations

Better Quality of Service

LowerOperational Cost

Better A

gility

Lower R

isk

• Many organizations are 30%below achievable IT productivity levels

CIO Magazine, 2007

Enterprise Management Associates, 2007

Enterprise Management Associates, 2007

Pressure to Streamline IT Operations

• 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%

Achieve Lowest Cost of OperationsWith Oracle Enterprise Manager

“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 StephanSenior DBA ConsultantBayer Business Service

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: University of MassachussettsVirtualization and Linux

Case Study: Oracle ITCost 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

Source: Winter TopTen Survey, Winter Corporation, Waltham MA, 2008.

200

400

600

800

1000

1998 2000 2002 2004 2006 2008 2010

ActualProjected

Tera

byt

es

of D

ata

Rate of Database Growth

5% Active5% Active95% Less Active95% Less Active

ORDERS TABLE (7 years)

High End Storage Tier

2003

Manage Data Growth Partition for performance, management and cost

2009

Low End Storage Tier

2-3x less per terabyte

2008

“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."

Sean WileyCTO & Director EDS Applications ServicesEDS

Significantly Reduce Storage UsageAdvanced 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

Compression4X

Up To

“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.”

Mike PrinceChief Technology Officer Burlington Coat Factory

Secure Backups to Tape or Cloud

Oracle Maximum Availability ArchitectureHA Best Practices Blueprint

Oracle Recovery Manager - Fast Recovery AreaAutomatic Storage Management

ActiveData Guard

Real Application Clusters

Data Guard

• Less expensive than remotely mirrored storage• Less network bandwidth required• Data corruptions not propagated• Standby database can be utilized

Protect against loss through disaster Oracle Data Guard

Real-time Queries

Standby Database

ProductionDatabase

“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.”

Jon Waldron Executive Architect Commonwealth Bank of Australia

Efficiently backup and restore data Utilizing integrated tiered storage

RegularIncremental

Backup

Flash Recovery

AreaDatabase Area

Secure Backups to

Cloud and Tape

Building Cost Effective Information Management

Virtualization and clustering enable consolidation

Pay-as-you-go scale-out

High Quality of Service

Automated grid management

Data compression

Information Lifecycle Management

“Zero idle” Maximum Availability architecture

Lower CapEx & OpEx

Avoid upfront CapEx & OpEx

Avoid lost user productivity, improve customer service

Raise IT staff efficiency, lower OpEx

Lower CapEx & Opex

Lower CapEx

Lower CapEx & Opex