Presentazione Oracle DBaaS e Autonomous Database per Innovazione e Database Consolidation.

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SYSTEMS ADVANTAGE
FORUM 2019
Michele Porcu – Senior Director, Strategy & Transformation
Link Evento su Oracle.com
ITALY EDITION
Come ottimizzare i carichi di lavoro più importanti
su Database Oracle con la massima efficienza
gestionale e di business

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The evolution for an “Innovative, Secured and Unified Data Platform”
2
Evolution
Build a Strategic Journey for an Innovative,
Secured, and Future Proof Data Platform
powered by DBaaS delivery model for
Enterprise Customers by leveraging the
maximum value from the past investments
and running costs:
• Cloud delivery model capable (e.g., pay per
use, scalable, elastic, ...)
• Secured and GDPR compliant
• Highly available with DR
• Integrated with existing Workloads and
Legacy Applications
• Supporting Cloud-native Development
• Self-managed and monitored
Traditional IT
Optimizing the Current Footprint
by simplifying, standardizing,
consolidating and governing
resources and licenses
Modern IT
Supporting the Future Projects
by supporting, securing,
integrating and governing
Enterprise and Cloud-native Apps
+

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Innovative,
Secured and
Unified Data
Platform
The strategic journey to build a “Innovative, Secured, Unified and
Future-Proof Data Platform” …
3
Objectives
Standardize Consolidate As a Service ... Autonomous
“Simple” “Efficient” “Self-driving”“Agile”
Fast evolution …
Simplify by
standardizing to a
well defined catalog
of classes of services
and service levels
Consolidate to the
service catalog and
optimize resources
like hardware,
software and work
force
Automate the
provisioning and the
operations of
services becoming
actually “As A
Service”
Evolve to self-driving,
self-securing, self-
tuning and self-
repairing database
services

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Innovative,
Secured and
Unified Data
Platform
… involving several Capabilities and Features …
4
Standardize Consolidate As a Service ... Autonomous
“Simple” “Efficient” “Self-driving”“Agile”
Fast evolution …
Capabilities and
Features
• Standard and up-
to-date DB and OS
Releases
• Lifecycle Mgmt
• Best practice Data
Mgmt capabilities
• Data Security
capabilities
• High Availability
Architectures and
capabilities
• Engineered
Systems to boost
consolidation
• Data compression
• Multitenancy
delivery
• Private Cloud, Cloud
at Customer and
Public Cloud (IaaS
and DBaaS)
• Cloud console and
management
• Managed Services
• Autonomous DB
(warehouse and
transactional)
Exa-based

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Innovative,
Secured and
Unified Data
Platform
... for improving automation … up to Autonomous
5
Objectives
Standardize Consolidate As a Service ... Autonomous
“Simple” “Efficient” “Self-driving”“Agile”
Fast evolution …
Simplify by
standardizing to a
well defined catalog
of classes of services
and service levels
Consolidate to the
service catalog and
optimize resources
like hardware,
software and work
force
Automate the
provisioning and the
operations of
services becoming
actually “As A
Service”
Evolve to self-driving,
self-securing, self-
tuning and self-
repairing database
services
Enabled Automatic
Capabilities
Automatic features
for Configuration
and Tuning
Automatic features
for Performances
and Consolidation
Automatic features
for Provisioning and
Operations
All automatic features
enabled through AI
Level of Automation Automatic
Autonomous

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Innovative,
Secured and
Unified Data
Platform
… unlocking significant benefits for IT Domain
6
IT Operations
Productivity
IT Infrastructure &
SW Costs
Impacts
Standardize Consolidate As a Service ... Autonomous
“Simple” “Efficient” “Self-driving”“Agile”
Fast evolution …
5-10%
Up to 70%
20%-30%
40%-50%
20%-30%
Up to 5%
Up to 40% Up to 40%
Potential savings

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Innovative and secured DBaaS Platform to support any kind of
Application landscape
Exa Technology Multitenant Autonomous Database
• Cost efficiency and
enhanced productivity
• Security
• Standardization and
consolidation
• High Availability and DR
• Performance and speed
• Governance
• Innovate and transform
DBaaS
Alternative
Sourcing
Model for
DB Layer
7
Benefits unlocked
On-prem At Customer Public At Customer Public
• Condolidate miscellaneous of
Custom-dev Applications on x86
• Re-platform Legacy Applications
(e.g., SAP, PeopleSoft, ...)
• Offload Legacy Architectures (e.g.,
MF, Teradata, Sybase, ...)
Linux x86, Unix Server, Legacy
Traditional IT
• Cloud-native Applications/Services
Docker/Kubernetes
Modern IT
• Digital Technologies
(e.g., IoT, Big/Fast
Data, Machine
Learning, Artificial
Intelligence, ...)

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Microservices with Poliglot persistence delivered and
operated in an Enterprise Environment ...
8
Standardize – “Simple”
• Transparent access through: JSON/REST (RDS/SODA) and JDBC
• Multi-model Polyglot Persistence within the same DB:
Relational, Spatial, NoSQL, Graph, XML, OLAP, …
• Multi-model with no Persistence
• Requiring different operating models and often lack of skills
and processes in IT Operations to run all of those
• No Enterprise-grade Service Levels (e.g., Business Continuity,
DR, Enterprise-grade Security, …)
Usual Approach (isolation) Oracle Multi-model Approach (Multi-tenant isolation)
• Enterprise Management and Operations (Bus.
Continuity, DR, On-Line Backup, Security)

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Application Containers
Scaling-out
stateless Applications
Database Containers
Scaling-out
stateful Applications
Databases Keeping
transactional consistency
Multi-tenant on Exadata: scaling-out DB Containers keeping
transactional consistency
ServerServerServerServerServerServerServer
Kubernetes Cluster
Docker Docker Docker
Storage
Server
Disk
Flash
Storage
Server
Disk
Flash
Storage
Server
Disk
Flash
Storage
Server
Disk
Flash
Storage
Server
Disk
Flash
Storage
Server
Disk
Flash
RAC Node RAC Node RAC Node RAC Node RAC Node RAC Node
Database Cluser Container
PDBPDB
Exadata Scale-Out Grid
PDB
9
Docker
PDB
CPU
RAM
Disk
CPU
RAM
Disk
IOPS
CPU
Disk
IOPS
CPU
Disk
Consolidate – “Efficient”

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DBaaS Technologies and high consolidation ratio drive
Computing assets and Facilities savings up to 80%
Normalized to 100
Current Target
100%
25%
-75pp
Physical Servers
20%
100%
Current Target
-80pp
Physical Cores Facilities
Addressable Estate:
1,399 Racks
83
Racks
Resulting
saving:
• 85% less
Data
Centre
space
• 60-70% less
Power &
Cooling
Customer case
10
Consolidate – “Efficient”
Licenses

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Exadata Technology “as a Service” … coming in three
different Sourcing Models
11
On-premise Cloud at Customer Public Cloud
• Platform owned and
managed by customer
in his data center
• Separate acquisition
of DB Licenses and
Options
• Data stays in
Customer Data Center
• Operated by Oracle
Cloud Ops team
• 2 models:
– Includes DB Options
– Brings own License
• Data stays in Oracle
Public Cloud
• 2 models:
– Includes DB Options
– Brings own License
Database
Ready for
UseAllocate
Compute
Allocate
Storage
Set Keys &
Privileges
Request
for
Service Provision
OS
Install &
Configure
Database
Configure
Tools
Configure
Access
Configure
Backups
IT Automated DBaaS Cloud Automated DBaaS Cloud Automated DBaaS
As a Service … – “Agile”

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Becoming the pioneer in the area of “Intelligent things”
by creating brand new DB “Autonomous” services …
Key Elements of Autonomous
12
Artificial Intelligence engine for
running “enterprise-grade”
workloads coupled with additional
capabilities (on Exa) also for
preventing faults and
frauds/attacks:
• Advanced security features
• High availability technologies
• Top-notch performances
• Cloud-delivery model (e.g.,
scaling, “pay-per-use”, …)
Self-securing
Protection from
malicious internal
and external attacks
+
security updates and
patches at runtime
+
automatic Data
Encryption
Self-driving
Auto-monitoring,
predictable
performance, self-
tuning capabilities
+
Less Labor, no
human errors
+
Elastic Sizing
Self-repairing
Always be online:
automatically detects
and applies
corrective actions to
ensure nonstop
access to your data
+
SLA experience
+ +
… at Enterprise level !!!
Autonomous – “Self-driving”

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Autonomous addressing major IT Challenges & Issues ...
13
Autonomous – “Self-driving”
IT Challenges & Issues
Improved Service Levels:
availability,
performances and no
human errors
Improved Security for
both internal and
external frauds and
malicious attacks
Improved automation
for IT Ops
Autonomous Features
• High availability capabilities
• High performance
• No human errors
• Automatic detection and application
of corrective actions
• Built-in Security
• Machine Learning engine detecting
abnormal patterns
• Security updates and patches at
runtime
• Always on-line
• Auto-monitoring
• Self-tuning capabilities
Security and Data
Breach
• Cybersecurity and data breach
• Internal Fraud
• Investments in SW and Skills for
Security
Service Availability
and Downtime
• Poor Service Levels due to:
– Human errors
– Availability features and
Performance
– Planned downtime for
Maintenance
IT Labour Efficiency
and Innovation
• High costs for IT Operations &
Maintenance
• Lack of resources for Innovation
due to predominant focus on
Operations