Grid Economics for the Next Generation Data Center

Grid Economics for the Data Center George Demarest Senior Director, Technology Product Marketing Grid Economics Forum

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

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

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

High Quality of Service

Automated grid management

Lower CapEx & OpEx

Avoid upfront CapEx & OpEx

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 Workload Avg Utilization <20% Applications A, B, C, D, E Net Workload Avg Utilization 70% 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 Net Workload If utilization too high, increase capacity

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 Net Workload

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

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 RAC Cluster High Upfront Cost Low Cost Building Blocks Greener and More Powerful + + Lowest TCO Diminishing Returns High Ongoing Maintenance Costs

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

RAC/Database Video

Oracle In-Memory Database Cache Extreme Performance

Delivers fast, consistent responsive times and high throughput

Database cache grid for scale-out

Subset of tables, rows & columns

Read and updateable

Dynamic loading, aging

Highly available

Replication

Cross-tier HA with RAC

Supports database standards

SQL92/ODBC/JDBC

OCI, Pro*C, PL/SQL

Application Storage Grid With RAC Cached tables

Automatic Storage Management Lowers the Cost of Data Management

Virtualize and share storage resources

Advanced data striping for maximum I/O performance

Online addition and migration of storage

Database Grid Storage Grid

Storage Optimization Cut Storage Costs by 70%

Oracle Advanced Compression

Compresses all data types

Compresses backup data

Improves system performance

Optimizes disk space usage

Improves staff productivity

Information Lifecycle Management

Enables tiered storage by type

Exploits extreme low cost storage options

Compression 4X Up To

“ 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 Apgar Business Continuity Planning High Availability Engineer Yahoo

Grid Concepts in Middleware Develop and Deploy to Application Grid

Economies of Scale

Proven to Outperform

Lowest Risk

High Availability Architecture

Application Grid Custom App Packaged App SOA Svc C/C++/ COBOL Legacy Virtualization Virtualization APPLICATION GRID

Grid Concepts in Middleware Develop and Deploy to Application Grid JRockit WebLogic Server Tuxedo Coherence Custom App Packaged App SOA Svc C/C++/ COBOL Legacy Virtualization Virtualization Enterprise Manager APPLICATION GRID

App Grid/WLS Video or Customer

APPLICATION GRID

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

Better Quality of Service Lower Operational Cost Better Agility Lower Risk

Many organizations are 30% below achievable IT productivity levels

CIO Magazine , 2007 Enterprise Management Associates, 2007 Enterprise Management Associates, 2007 IT Operations

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%

“ 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 Stephan Senior DBA Consultant Bayer Business Service

Enterprise Manager Video

(Johns Hopkins Hospital)

APPLICATION GRID

Linux and Virtualization Lowest Cost Platform Oracle Enterprise Linux Dedicated engineering team Free Oracle Management pack for Linux Oracle VM Oracle Validated Configurations for Linux and Oracle VM Faster Deployment Free to download, use and distribute Real-world testing and validation 24X7 support, 145 countries, 27 languages Unbreakable Linux Support Oracle VM templates

Complete end-to-end management

Application  Oracle VM layer

Lifecycle automation

Deploy, patch, clone, migrate, gold image

Oracle VM Management

Configuration tracking & policies

Performance & availability monitoring

VM Template management

Oracle VM Templates Rapid Application Deployment

Download from Oracle

Pre-built, pre-configured VM

Complete app, middleware, DB, Grid Control installation

Save days or weeks in installation and configuration time VM NAS, SAN, iSCSI Oracle VM Servers Oracle VM Server Pool VM VM VM E-Delivery Import to Oracle VM Manager VM 11g DB Start-Up in Oracle VM Pool VM 11g DB VM Customize & Save as Golden Images VM 11g DB VM 11g DB VM 11g DB

Case Study: University of Massachussetts Virtualization and Linux 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: Oracle IT Cost Savings using Oracle VM