The document discusses the implementation of private database clouds and the challenges of database consolidation on scale-out platforms. It highlights Oracle's cloud-ready workload capabilities, emphasizing scalability, reliability, and cost efficiency in database management. The document also showcases a successful case study of an Australian bank consolidating over 300 databases onto a cost-effective grid system.

1. Implementing Private Database Clouds
Real-World Experience of Database Consolidation on Scale-Out Platforms

2. Roland Slee
Vice President, Database Product Management
Oracle Corporation Asia Pacific & Japan

3. Everyone Is Talking About Cloud

4. NIST Definition of Cloud Computing
Cloud computing is a model for enabling convenient, on-
demand network access to a shared pool of configurable
computing resources (e.g., networks, servers, storage,
applications, and services) that can be rapidly provisioned
and released with minimal management effort or service
provider interaction.
This cloud model promotes availability and is composed of:
5 Essential Characteristics 3 Service Models 4 Deployment Models
• On-demand self-service • SaaS • Public Cloud
• Resource pooling • PaaS • Private Cloud
• Rapid elasticity • IaaS • Community Cloud
• Measured service • Hybrid Cloud
• Broad network access
Source: NIST Definition of Cloud Computing v15

5. What Everyone Wants
• Mainframe-class QoS on an agile, low-cost, virtualised
infrastructure
• Without having to devise the architecture yourself
• Without having to modify and re-test applications
• Knowing that applications will run faster and more reliably
in the new environment

6. But Getting to the Cloud is Not Easy
• Many applications are not cloud enabled
• Many workloads don’t scale-out transparently
• Many organisations don’t have resources to manage the
change

7. Oracle - A Cloud-Ready Workload
Oracle RAC Scales-Out Transparently
HR SALES ERP
• Runs any Oracle Database application
• Active-Active: highly scalable and available
• Adapts automatically to changing workloads

8. “Don’t Try This At Home”
• A vendor certified and integrated configuration is best
when you’re pushing the boundaries
• Large pool of customers running the same configuration
enhances supportability
• Integrated Oracle software stack enhances control and
mitigates risk

9. Component vs. Integrated System
Integrated System Architecture
Integrated System Architecture
Oracle
3rd
Party
Component Architecture
Applications Applications
Application
Server
Oracle
Database Opportunity Database
Improve Clusterware
3rd
Party service
Systems File System
and
Software lower Volume Manager
cost
3rd Party Database
Servers & Machine
Storage Exadata
Horizontal solutions Optimized solutions
User integrated Oracle integrated

10. Leading Australian Bank Implements
Oracle Database as a Service
• Consolidates 300+ Oracle Databases onto three grids
• Includes mission-critical, customer-facing applications
• Implements Oracle’s Maximum Availability Architecture
• Enhances performance & reliability while reducing cost
• Increases DBA productivity
• Small team of expert DBAs able to serve large portfolio of systems
• Implements “pay for use” model for business users
• Business users recognise the superior economics of the solution

11. Oracle Customer’s Grid Evolution
Cluster of Low-Cost
Intel / Linux Servers
Configured by
Oracle
Cluster of
Enterprise-Class,
High Cost Unix
Servers Configured
by Customer
Cluster of Low-
Cost Unix Servers
Configured by
Customer

12. The Sun / Oracle Database Machine
A Pre-Configured, Massively Parallel Enterprise Grid
Best for Data Warehousing
Best for OLTP
Best for Consolidation

13. Best Database Consolidation Machine
• Consolidates many different workloads
onto one system
• Warehouse oriented bulk data processing
ERP • OLTP oriented random updates
• Multimedia oriented streaming files
CRM
• The Sun Oracle Database Machine
Warehouse handles any combination of workloads
with extreme performance
• And predictable response times
Data Mart
HR
• Dramatic new consolidation
capabilities

14. Consolidate Storage
• Exadata and ASM allow all storage servers to be
shared across databases
ERP • Shared Configuration
• Advanced data striping spreads every database across
CRM all storage servers
• Eliminates hot-spots and captive unused space
• Full storage grid performance available to all databases
Warehouse • Database or cluster level storage security
Data Mart • Predictable Performance
HR • Exadata I/O resource manager prioritizes I/Os to
ensure predictable performance
• At user, job, application, or database level
• No need for isolated storage islands

15. Consolidate Servers
• Many databases can run on Database
Machine servers
• Shared Configuration
ERP CRM • Applications connect to a database service that
runs on one or more database nodes
• Services can grow, shrink, & move
dynamically
Warehouse
• Large databases can span nodes using RAC
• Multiple small databases can run on a single node
HR Data • Predictable performance
Mart • Instance caging provides predictable CPU
resources when multiple databases run on the
same node
• Restricts a database to subset of processors

16. Start Small and Grow
Quarter Half Full
Rack Rack Rack

17. Scale Performance and Capacity
• Scalable • Redundant and Fault
• Scale to an 8-rack database machine Tolerant
by just connecting networks • Failure of any component is tolerated
• Scales to hundreds of storage servers • Data is mirrored across storage servers
• Multi-petabyte databases

18. In Conclusion
• The Oracle Database is a grid-enabled workload
• Lends itself to database consolidation on low-cost,
industry-standard infrastructure
• Oracle now has a pre-built, optimised platform for
database consolidation
• Real, local, customers have proven it works

19. Questions
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