db 11g r2 keynote: consolidate on low cost server and storage grids
DESCRIPTION
Luís Ganhão Keynote on 11gR2 Launch @ LisbonTRANSCRIPT
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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