1. Database as a Service
Alan Poon
Senior Sales Consultant
Oracle Systems Hong Kong

2. Traditional Database Service Deployments
Dedicated Databases Cause Server and Software Sprawl
 Was the only practical way to ensure good QoS
– Performance, scalability and reliability
Engineering
Sales
Manufacturing
Marketing
Finance
Service
Human Resources
IT/Operations
 Caused high costs for
‒ Hardware, software and labor
 Multiple servers, databases, and OS’s to maintain
‒ Backup, patch, upgrade, monitor, optimize
 Complex provisioning of dedicated services
‒ Slow to deploy new solutions
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3. Database as a Service Goals
Providing cost savings and greater agility
Manufacturing
Engineering
Marketing
 Cost Savings
- Standardization
- Shared and pooled resource
Sales
DBaaS
Human
Resources
IT/Operations
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Service
 Agility
Finance &
Accounting
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- Elasticity
- Self-service provisioning
- Measured service

4. Evolution to Database as a Service
Siloes
Complex
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Standardized
Simple
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Consolidated
Efficient
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Service Delivery
Agile
Enterprise Cloud
Unified

5. Database Consolidation on Clouds
Traditional consolidation methods
Clustered Databases
Schema Consolidation
Consolidation Density
Virtual Machines
Share Servers
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Share Servers & OS
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Share Servers, OS & Database

6. Oracle Multitenant
Simplifies consolidation, enables Database as a Service
Clustered Databases
Pluggable Databases
Consolidation Density
Virtual Machines
Share Servers
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Share Servers & OS
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Share Servers, OS & Database

7. Oracle Database Architecture
Requires memory, processes and database files
System Resources
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8. New Multitenant Architecture
Memory and processes required at container level only
System Resources
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9. New Multitenant Architecture
Memory and processes required at container level only
System Resources
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10. Advantages of Multitenant Architecture
Easy to adopt, reduce costs, increased agility
Applications run unchanged

Rapid provisioning and portability
Shared memory and background processes

Greater database consolidation density
Common operations performed at container

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Manage many as one (upgrade, backup)
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11. Pluggable vs Separate Databases
Highly Efficient: 6x Less H/W Resource, 5x more Scalable
OLTP benchmark comparison
Only 3GB of memory vs. 20GB
memory used for 50 databases
Pluggable databases scaled to
over 250 while separate
database instances maxed at 50
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12. Oracle Multitenant for Provisioning
Fast Provisioning, Snapshot Clones
Time Taken to Provision New Database
25
20
15
10
5
0
Non CDB
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PDB
Clone PDB using
Copy-on-Write File
System

13. Oracle Multitenant for Database as a Service
Pick from standard sizes and service levels
GOLD
SILVER
✔
BRONZE
✔
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RAC, Data Guard
Data Guard
Backups

14. Oracle Multitenant for Database as a Service
Trivially migrate tiers as databases become more mission critical
GOLD
✔
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SILVER
Data Guard
✔
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RAC, Data Guard
BRONZE
Backups
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15. Managing Shared Resources
Resource management for consolidated databases
 Fine-grain allocation of
resources based on priorities
 Dynamically adjust priority
based on performance SLAs
Low Priority
Medium Priority
High Priority
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16. Database as a Service Platform Requirements
Support few to thousands of databases
 Mixed Simultaneous Workloads
– OLTP / Web commerce
– Reports / Ad hoc queries / Analytics
– Data Loads / Backups / Batch
– Development / Test
 Any SLA requirement
 Maximum Security
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17. Exadata Improves Consolidation Performance
Unique technology for accelerating all database workloads
 Smart Flash Cache
– Uses flash for physical I/O
 Smart Flash Log
– Uses flash to improve log I/O latency
 Smart Scan
– Runs portions of a database query in storage
 Hybrid Columnar Compression (HCC)
– Reduces the number of blocks and I/Os
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18. Greater Consolidation Density
Oracle Exadata supports more databases per machine
Response Times by Number of Databases
120
110
Average Response (mS)
100
80
56.7
60
40
16.51
20
4.89
5.5
7.4
8.91
2
3
4
2.16
2.16
2.48
5
6
7
1.89
0
0
1
Number of databases (Load)
Conventional Response
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Exadata Response
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8

19. Mixed Workloads are Fundamental to DBaaS
Oracle Exadata enables safe consolidation of diverse workloads
 Database Resource Manager
– CPU resource management for conventional and pluggable databases
 Exadata I/O Resource Management
– By tenant pluggable database, job, SQL, user, service, etc.
 Exadata Network Resource Management
– Prioritizes critical messages through the entire fabric
– e.g. Web users prioritized over ad-hoc reporting
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20. Oracle Exadata
v
The Customer’s View
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22. Managing the Lifecycle of DBaaS
Oracle Enterprise Manager
Plan & Setup the Cloud
Capacity & consolidation planning
Policy and governance setup
Meter, Charge, Optimize
Metering, chargeback, showback
Optimize service performance, QoS
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Enable Self-Service
Database provisioning
Package database services
Manage & Monitor
Define service priorities
Monitor database services

23. Delivering Database as a Service
Oracle Enterprise Manager, Oracle Multitenant and Oracle Exadata
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24. Oracle Database as a Service
Everybody wins…
Users Get:
IT Gets:
 Better performance & service
 Standardized deployments
 Self-service provisioning
 Less maintenance
 Pay per use
 Simplified support
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25. Graphic Section Divider
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