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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

• Constrained performanceMiddleware

• Constrained performance

• Difficult to scale

• Expensive to manage

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

Virtualization and clustering

enable consolidation

Pay-as-you-go scale-out

Lower CapEx & OpEx

Avoid upfront CapEx & OpEx

High Quality of Service

Automated grid management

Avoid lost user productivity,

improve customer service

Raise IT staff efficiency,

lower OpEx

Consolidation with Grid Computing

Server A Server B Server C Server D

Application A Application B Application C Application D

WorkloadAvg Utilization

<20%• Take advantage of complementary workload peaks

• Higher utilization rates and efficiency

Server E

Application E

Applications A, B, C, D, E

NetWorkload

Avg Utilization70%

Freed capacity to deploy elsewhere

• Lower CapEx & OpEx

• Green footprint

Oracle Shared Instance

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

Oracle Shared Instance

• Rightsized capacity planning

• Smaller, standard machines running at higher utilization

• Defer equipment procurement

• Exploit advances in hardware price-performance and energy efficiency

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

Oracle Shared Instance

• Predictable performance at any scale

• High availability – every application gets HA

Server A Server B Server C Server D

• Load balancing

• Failover

• Active-Active operation

High performance and availability

Server E

• Disaster recovery

• Rolling upgrades

Efficient Management with Grid Computing

• Deploy standard virtual machine images quickly and easily

• Expedited provisioning and patching

• Manage Quality of Service from end-user perspectiveuser perspective

• Automated diagnostics and tuning

• Real-time and predictive monitoring

• Comprehensive testing and validation

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• HP Oracle Database Machine• 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 Diminishing ReturnsHigh Ongoing Maintenance Costs

RAC Cluster

High Upfront Cost

Low Cost Building Blocks Greener and More Powerful

+ +

Lowest TCO

Diminishing ReturnsHigh Ongoing Maintenance Costs

Case Study: Mercado LibreeBay of Latin America

Mercado LibreNumber RAC Nodes vs Workload

Automatic Storage ManagementLowers the Cost of Data Management

Database Grid

Storage Grid

© 2009 Oracle Corporation

Automatic Storage Management

• Virtualize and share storage resources

• Advanced data striping for maximum I/O performance

• Online addition and migration of storage

Storage Grid

Application Grid

• Economies of Scale

• Proven to Outperform

Grid Concepts in Middleware Develop and Deploy to Application Grid

Custom

App

Packaged

AppSOA Svc

C/C++/

COBOLLegacy

APPLICATION GRID

© 2009 Oracle Corporation

• Lowest Risk

• High Availability Architecture Virtualization Virtualization

WebLogic

Server

Tuxedo

Coherence

Grid Concepts in Middleware Develop and Deploy to Application Grid

Custom

App

Packaged

AppSOA Svc

C/C++/

COBOLLegacy

APPLICATION GRID

© 2009 Oracle Corporation

JRockit

Virtualization Virtualization

Enterprise Manager

Linux and VirtualizationLowest Cost Platform

Oracle Enterprise Linux

Dedicated engineering team

Free Oracle Management pack for Linux

Faster Deployment

Unbreakable Linux Support

Oracle VM

Oracle Validated Configurations for Linux and Oracle VM

Free to download, use and distribute

Real-world testing and validation

24X7 support, 145 countries, 27 languages

Oracle VM templates

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 • 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

DB1 DB2

Server A

DB3 DB4 DB5

Server B Server C

DB1 DB2

Common Shared Storage

Single Cluster

DB3 DB4 DB5

Omotion

DB1 DB2 DB4 DB5DB3

Client Connections

Server A Server B Server C

DB1 DB2

Common Shared Storage

Single Cluster

DB4 DB5DB3

Omotion

DB1 DB2 DB2 DB4 DB5DB3

Client Connections

Server A Server B Server C

DB1 DB2

Common Shared Storage

Single Cluster

DB2 DB4 DB5DB3

Omotion

DB1 DB2 DB2 DB4 DB5DB3

Client Connections

Server A Server B Server C

DB1 DB2

Common Shared Storage

Single Cluster

DB2 DB4 DB5DB3

Omotion

DB1 DB2 DB4 DB5DB3

Client Connections

Server A Server B Server C

DB1

Common Shared Storage

Single Cluster

DB2 DB4 DB5DB3

Cluster Failover

DB1 DB2

Server A

DB3 DB4

Server B Server C

DB1 DB2

Common Shared Storage

Single Cluster

DB3 DB4

Cluster Failover

DB1 DB2

Server A

DB3 DB4

Server B Server C

DB1 DB2

Common Shared Storage

Single Cluster

DB3 DB4

Cluster Failover

DB1 DB2

Server A

DB4

Server B Server C

DB3DB1 DB2

Common Shared Storage

Single Cluster

DB4DB3

“We manage thousands of databases and application servers with

Andreas StephanSenior 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.”

• 40% of CIOs surveyed cite lack IT

Better Quality of Service

Better A

gility

Lower R

isk

• Many organizations are 30%

below achievable IT productivity

levels Enterprise Management Associates, 2007

Pressure to Streamline IT Operations

• 40% of CIOs surveyed cite lack

of automation tools

• 60%–70% of IT budget is spent

on operations and maintenance

IT

Operations

LowerOperational Cost

Better A

gility

Lower R

isk

CIO Magazine, 2007

Enterprise Management Associates, 2007

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 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 CenterTakeaways

Virtualization and clustering

enable consolidation

Pay-as-you-go scale-out

Lower CapEx & OpEx

Avoid upfront CapEx & OpEx

High Quality of Service

Automated grid management

Avoid lost user productivity,

improve customer service

Raise IT staff efficiency,

lower OpEx