Jak konsolidovat Vaše databáze s využitím Cloud služeb?

1
Consolidate & Modernize Database
with Exadata Cloud@Customer
Jaroslav Malina, Josef Krejčí, Josef Šlahůnek
March 2022
Oracle Czech
Copyright © 2020, Oracle and/or its affiliates. All rights reserved. |

Safe harbor statement
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,
timing, and pricing of any features or functionality described for Oracle’s products may change and remains at the
sole discretion of Oracle Corporation.

Data Management Market & Cloud

Confidential – Oracle Internal and Approved OPN Partners Only

Copyright © 2020, Oracle and/or its affiliates. All rights reserved.
8
DATA – The world’s most valuable resource like Water
DATA
Unique
Data cannot be substituted by other
data, because each carries different
information.
[Less Transformation is Better]
Always There
Data can be consumed over and over
again by different parties.
[Easy and Repeatable Access is a Must]
Experience
Data can be accurately evaluated only
after data have been experienced.
[Time to Experience is Important]
THE
OPPORTUNITY
$430B
advantage for
data driven
organizations
- IDC
19X
likely to be
more profitable
- McKinsey
10%
increase in data
accessibility
translates into
$65.7M in net
income
- Baseline

And We need to prepare for the
IoT/5G Data Tsunami That is Arriving
Petabytes/DAY
Smart
City
Petabytes/DAY
Connected
Factories
Petabytes/DAY
Smart
Hospital
Petabytes
/DAY/CAR
Self-Driving

Data Strategy
Will be Critical
to a Successful Digital Transformation
And Surviving todays Challenges

Why Consolidate with Cloud?
|

Complexity of the IT infrastructure
Leads to…Data Integrity, Security, Availability Challenges
AND high integration and Management costs …
Business Drivers for Database Consolidation
Custom Apps
Legacy Apps
E-Business Suite PeopleSoft
JD Edwards
SAP/Other
Data warehouse
Analytics &
reporting
On-Premises Enterprise applications on disparate locations
Many copies
and
instances Test / Dev Data Marts HA / DR
Machine
Learning
Blockchain
Cloud
{ }
XML/JSON
IoT
Spatial &
Graph
Hyperscale
Persistent
Memory
Microservices
Events
File
OLTP Analytic
{rest
}
REST
New Innovations
New Data Types
New Workloads
Data Fragmentation across multiple data stores
Leads to …High Operational costs, Data Complexity …

Single purpose databases are advocated by cloud vendors and startups
Combining “best-of-breed” drives “worst-of-weaknesses”
• Use of single-purpose databases has been the source
of a large increase in data management complexity
• Require apps to use separate proprietary APIs for each
database
• Separately implement security policies for every
database technology
• Unique high availability and scalability tools for each
database type
• Complex management and integration
• End-to-End security, availability, scalability,
consistency, etc. means weakest of the databases that
are used
AWS and other vendors want customers to run multiple
Single-Purpose databases because it drives up
subscriptions & services (= More Revenue $$$$)
Amazon
Aurora
Amazon DocumentDB
Amazon DynamoDB
Amazon
Neptune
Amazon Quantum
Ledger Database
Amazon RedShift
Amazon
Timestream
Amazon
ElastiCache
Data Warehouse
Document and NoSQL
Transactions And other single
purpose databases!

• Modern applications require many different:
– Data types - Relational, Document, Spatial, Graph, etc.
– Workloads - Transactions, analytics, ML, IoT, etc.
• Each data type and workload requires different database algorithms
• Two possible data strategies:
– Use single-purpose “best-of-breed” database for each data type and
workload
– Use a converged database for all data types and workloads
Oracle’s Strategy:
– Run Converged, Open, Oracle Database for multiple data types
and workloads
To become data-driven customers need a modern data strategy
Many specialized databases vs one converged database

Why customers
are choosing OCI
Superior price-performance
Far easier to migrate critical
enterprise applications
Autonomous services make it far easier to
manage security, performance, and scalability
The most complete support
for hybrid cloud strategies
Security that’s built in, on by
default, at no extra charge
All the services developers need to
build cloud-native applications
1
2
3
4
5
6
Copyright © 2021, Oracle and/or its affiliates
17
Copyright © 2021, Oracle and/or its affiliates.

Oracle Database as a Service
|

Two Contrasting Database Architecture Strategies
Copyright © 2019, Oracle and/or its affiliates. All rights reed.
Spatial
ML
Blockchain
Document
Graph
Reporting
Single-purpose database for each data type
and workload
A Converged database that supports
multiple data types and workloads
19 Copyright © 2022, Oracle and/or its affiliates

Converged database to dramatically reduce complexity and cost
Oracle Database Supports All Data Management Needs
RDBMS Document
Graph Time Series
Key Value Spatial
Benefits
Less
Integration
Lower
Costs
$
Higher
Performance
Consistent
Security
Rapid
Development
Machine
Learning
Higher
Consolidation
Simpler
Management
Higher
Availability
Greater
Scale
Zero Data Loss
Protection

Roadmap to Database as a Service
Reduce data fragmentation
with a converged database
architecture
Consolidate databases &
infrastructure
Optimize mission critical
workloads
Deploy it most advanced
database platform –
Oracle Exadata
Run high-performance
database workloads in the
Cloud
Preserve existing
investments
As-Is
IT complexity
Data Fragmentation
Avoidable operational
expenses
Standardization
1 Consolidation
2 Transform in the cloud
3

Exadata – The perfect platform for
database consolidation
Effective Consolidation with
Oracle Multitenant
Oracle Database - The most
advanced database platform
Three Pillars of Database Consolidation
Marketing
Manufacturing
Service
IT
Finance
R&D
Sales
HR
• Minimize CAPEX, more
applications per server
• Minimize OPEX by managing
many as one
• Increase agility , provisioning,
relocation , cloning
• High Consolidation density. For
ALL database workloads
• 69% more efficient IT staff
• High 5-year ROI
• Deliver superior performance,
availability and security
• Improve IT operations.
Accelerate development
• Unlock new value from ANY
data

Oracle Multi Tenant on Exadata
Scaling-Out Database Containers keeping Transactional Consistency
Application Containers
Scaling-Out
Stateless Applications
(Twelve-Factor like apps)
Database Containers
Scaling-Out
Stateful Applications
(Databases)
Keeping
Transactional Consistency
Server
Server
Server
Server
Server
Server
Server
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 Cluster Container
PDB
PDB
Exadata Scale-Out Grid
PDB
Docker
PDB
CPU
RAM
Disk
CPU
RAM
Disk
IOPS
CPU
Disk
RAM
IOPS
CPU
Disk
RAM

Oracle Multitenant implementations in The Czech Republic
Tenant 1 Tenant 2 Tenant 3
Master
Sberbank Czech Republic
MT on Oracle Sparc (2019)
Benefit: Saving: RAM
Prazska energreticka - utility distributor
MT on HPx86 and Linux (2021)
DB migration project from 10g, 11c, 12c to 19c started in April 21
Benefit: B 11c, 12c to 19c migration / from schema consolidation to PDB consolidation
J&T bank - private investment bank
MT for Dev/test environment on Exadata, (2018)
Average 50 PDB per container DBs
Benefits: Saving: RAM, CPU, Oracle DB License
• Saving provisioning and patching time
ČSOB stavební spořitelna
MT for Dev/test environment on Exadata, (2019)
Average 20 PDB per container DBs
Benefits: Saving: RAM, CPU, Oracle DB License
• Saving provisioning time
• DB 11c, 12c to 19c migration

Exadata is the Premier Platform for Database Consolidation
Consolidate your databases, data types, and workloads into one database
• Optimized Database System – scale-out, database
optimized compute, networking, and storage for fastest
performance and lowest cost
• Smart System Software – specialized algorithms vastly
improve OLTP, Analytics, Consolidation
• Automated Management – fully automated and
optimized configuration, performance, fault-tolerance,
updates
• Multitenant Architecture - Self-contained pluggable
databases in a shared Container Database
Reduce Cost
Simplicity
Availability
Performance
Security

Oracle Exadata is The Best Platform for Oracle Database
Exadata delivers unmatched Oracle Database capabilities for
60 Exadata-only features for Oracle Database
Scalability
1. Infiniband Cluster Interconnect
2. Remote Direct Memory Access on Storage I/O
3. Exadata High Redundancy Storage
4. High Performance I/O – 6.57 million IOPS from
SQL
5. Low Latency I/O – 200 microseconds
6. In-Memory Data Mirroring
7. Hybrid Columnar Compression
8. Bloom Filter Joins
9. In-Memory Columnar Tables
10. In-Memory External Tables
11. Memory Optimized Key/Value Data
12. Higher Consolidation Density
Performance
1. Active/Active IB Network
2. Exadata Smart Write Back, Smart Flash Logging,
Smart Scan, and Reverse Offload
3. Fastest Redo Apply and Instance Recovery
4. Efficient re-silver rebalance after Flash failure
5. I/O latency capping for reads and writes
6. Cell IO timeout threshold
7. Smart Write Back Flash Cache Persistence
8. I/O and network resource management
9. Cell to cell offload for disk repair
10. Cell-to-Cell Rebalance Preserves FlashCache
11. Appliance Mode Support
Security
1. Full Stack Patching
2. Minimal Attack Surface
3. Pre-Scanned & fixed system stack using STIG,
Nessus, and Qualys
4. Advanced Intrusion Detection Environment
(AIDE) –similar to virus scanners
5. SGX Integration in Exadata Storage Cells
Availability
1. Fast Node and Cell Death Detection
2. Fast Network Failure Detection
3. Redundancy Protection on cellsrv shutdown
4. Redundancy Protection on Cell shutdown
5. Reduced Brownout for Instance Recovery
6. ILOM Hang Detection and Repair
7. Automatic ASM Mirror Read on IO error corruption
8. IO error prevention with Exadata disk
scrubbing/ASM Corruption repair
9. Corruption Prevention with HARD support
10. Elimination of false-positive drive failures
11. Redundancy Check During Power Down
12. Blue OK-to-remove LED Light notification
13. Health Factor on predictively failed disks
14. Disk Confinement
15. I/O hang detection and repair
16. Drop Hard Disk for Replacement
17. Drop BBU for Replacement
Efficiency
1. Exadata Elastic Configuration
2. Cell Alert Summary
3. Flash and Disk Lifecycle Management Alerts
4. Auto Online
5. Auto Disk Management
6. Priority Rebalance Support
7. EM Failure Reporting
8. Failure Monitoring on Database Servers
9. Updating Database nodes with Patchmgr
10. Optimized and Faster Exadata Patching
11. Custom Diagnostic Package for Cell alerts
12. VLAN support and automation
13. Exachk – full stack health check with critical issue alerts
14. Automatic Statistics
15. Automatic Indexing

Oracle Database as a Service - Deployment Models
Exadata Cloud Service
Exadata Cloud at Customer
Exadata On-Premises
Automation
Amount of User Control
ORACLE
AUTONOMOUS
DATABASE
Efficiency through
maximum automation
Agility through
automation
Robustness through the best
performance and scalability

Your Choice of Deployment model – OPEX or CAPEX
The best place to run Oracle Database - on-premises and in the cloud
On-Premises Cloud@Customer Public Cloud
Customer Data Center Oracle Data Center
Subscription with Universal Credit-based consumption
Purchased
Co-Managed
Customer Managed
Cloud@Customer Cloud Service Cloud
Fully Oracle Managed
Co-Managed
On ExaC@C
BYOL
Monthly Flex pricing
PayG
28

Choose the right high-performance database platform
Based on Database Requirements & Needs
Various Oracle Database
Version 11g, 12c, 18c, 19c
and latest
Which version of
databases does
customer wants to
consolidate?
Latest version of Oracle
Database (19c or latest)
Fully Managed by
Customer
Co-managed with Oracle
Fully managed by Oracle
Customer Datacenter
Oracle Public Cloud
Customer Datacenter
Oracle Public Cloud
Exadata X8M
On-premises
Exadata
Cloud@Customer
Exadata Cloud
Service
Autonomous DB
on Exadata
Cloud@Customer
Autonomous DB
Dedicated in OCI
Data Location
Management
Database
Version
Customer Datacenter
29

Exadata Cloud@Customer service
ideal for start with cloud
|

Oracle’s On-premise Platform of Choice
© 2020 Oracle
31
On-premise Cloud and Engineered Systems
Database
• Exadata
• Exadata Cloud at Customer
Applications and middleware
• Private Cloud Appliance
• Private Cloud at Customer

Dramatically Better Platform for All Oracle Database Workloads
Exadata Vision
Automated Management, Deploy Anywhere
Fully automated and optimized platform: on-premises or cloud
Database-Aware System Software
Unique algorithms vastly improve OLTP, Analytics, Consolidation
Ideal Cloud-Scale Database Infrastructure
Scale-out, database-optimized compute, networking, and storage
Copyright © 2021, Oracle and/or its affiliates | Confidential: Highly Restricted
32

Thousands of Critical Deployments Since 2008
Financial Services, Telecoms, Healthcare, Retail, Public Sector, Travel, Manufacturing,
Professional Services, Consumer Goods, Education, Utilities, …
Best for ALL workloads
• Petabyte Warehouses
• Super Critical Systems
• Financial Trading
• Process manufacturing
• E-commerce
• Packaged Applications
• SAP, Oracle, Siebel, PSFT, …
• Database Consolidation
33 Copyright © 2020 Oracle and/or its affiliates.
86% of Fortune Global 100 Run Exadata

What are your Exadata consumption options?
And, YES! You can have AI with that.
Copyright © 2020, Oracle and/or its affiliates. All rights reserved
34
Level of automation
On-Premises Cloud@Customer Public Cloud
Customer Data Center Oracle Data Center
Subscription with Universal Credit-based Consumption
Purchased
Cloud@Customer Cloud Cloud Service
Co-Managed
Customer Managed Fully Oracle Managed
Cloud
Co-Managed

35
Not Always Possible to Move to Public Cloud
Restrictions
• Regulations or corporate policies require
data to be local
Risk
• Concerns about multi-tenant cloud
Response Time
• Real-world systems have many complex
relationships that require low latency
communication
• Hard to disentangle one system from others

Security
End-to-End Protection
Advanced Intrusion Detection
Hardware encrypt/decrypt
Full-Stack Security Scanning
FIPS 140-2, PCI-DSS
Isolation and Virtualization
Availability
Proactive & Predictive
Instant Failure Detection
Sub-Second Failover
ML-Based Health Monitoring
I/O Latency Capping
Max. Availability Architecture
OLTP/Consolidation
PMEM + Flash + RoCE
Persistent Memory Cache/Log
Smart Flash (NVMe/PCIe)
RDMA over Converged Ethernet
IO Resource Management
Network Resource Management
Analytics
Storage Offloading
Smart Scans, Filters, Joins…
Storage Indexes
HCC (Column Compression)
JSON, XML, LOBs, CLOBs
In-Memory Columnar
Enabled by Full Stack Integration (Database to Storage)
Exadata Includes Dozens of Unique “Smart” Technologies
RoCE
PMEM
Flash
Disk
FIVE NINES
5X9
99.999%
Recognized by
IDC for the
Highest Level
of Availability
RDMA
Compute Server
Storage Server
Move DB
processing to
storage
Copyright © 2021, Oracle and/or its affiliates |
36

World’s Fastest On-premises Cloud Database System
Run OLTP, analytics and mixed workloads with best
price-performance
• Most powerful processor cores
• 32-core Ice Lake processors for database processing
• 24-core Ice Lake processors for I/O processing
• Fastest networking and flash with PCIe 4.0
• Largest database service storage capacity
◦ 18 TB drives
• Ultra-fast <19 µs latency with PMem and RoCE
Exadata Cloud@Customer X9M
22.4M OLTP IOPS
540 GB/sec Analytics
Throughput
496 OCPUs
More work with less resources lowers TCO
763 TB Usable Storage
Capacity
37

Gen 2 Exadata C@C X8M vs X9M
Comparison at a Glance
Server Type Base System Quarter
Rack
Half Rack Full Rack
Base Rack X9M X9M X9M
Max # of OCPUs 48 124 248 496
RAM (GB) per DB Server/Total all
Servers
328 / 656 1,390/ 2,780 1,390 / 5,560 1,390 / 11,120
Maximum # VMs 4 8 8 8
Persistent Memory (TB) - 4.5 9 19
Total Usable Disk Capacity 74 192 384 769
TB of DB Storage with no local backup 59 153 307 615
TB of Flash 38 76 153 307
Read/Write IOPs (M) 0.56/0.52 5.6/1.8 11.2/3.6 22.4/7.3
Throughput (GB/s) 25 135 270 540

Elastic Scaling to Reduce Costs
On-Premises - Static
Purchase CPUs and software licenses
for highest projected peak load
Unused CPUs
Configured CPUs and Software
Cloud - Elastic
Adjust enabled OCPUs to match actual load
OCPUs are charged hourly
CPU Usage CPU Usage
Enabled OCPUs

Gen 2 Exadata Cloud@Customer Architecture Overview
Oracle Cloud Infrastructure
Customer Data Center
Oracle
Cloud Ops
ExaC@C
Secure Tunnel
• Customer initiated lifecycle
operations
• Infrastructure lifecycle
operations
• Software downloads
• Scaling up/down
• Infrastructure monitoring and
maintenance
Database
Access
by Application
Servers
Intranet
Customer Tenancy
Customer Admin
Local Control
Plane Servers
(CPS)
Invoke Cloud UI or REST APIs
Admin VCN
Secure Tunnel

Simple: Cloud Management Model in Your Data Center
Customer subscribes to database services
• Automation for create, delete, patch, backup, scale up/down, etc.
• Runs all supported Oracle Database versions 11.2.0.4 to 19c
• Customer controls access to customer VM
• Customer can install and manage additional software in customer VM
• Oracle staff are not authorized to access customer VM
Oracle owns and manages infrastructure
• Hypervisor, physical database and storage servers, storage network
• Patching, security scans, security updates
• Monitoring and maintenance
• Customer not authorized to access Oracle infrastructure
Hypervisor
Cust VM
Databases
Internal Fabric
Storage
Storage

42
• Automatic Provisioning
• Automatic Configuration
• Automatic Encryption
• Automatic Online Updating
• Automatic Elastic Scaling
• Automatic Tuning
• And a lot more…
Oracle Autonomous Database
Nothing to Learn – Nothing to Do
Automates All Database Operations

43
Autonomous Database on Exadata Cloud@Customer
Autonomous Management Model in Your Data Center
• Customer Controls DB Users, Schemas, Encryption Keys
• Oracle Database 19c or later only
• Oracle owns, manages, and controls
• Hypervisor, DB servers, storage servers, Cluster fabric, etc.
• DomU, Container Databases
• No customer access
• Oracle Owns all issues
Hypervisor
DomU
Databases
O
R
A
C
L
E
Internal Fabric
Storage
Storage
Data/Schema

• Elastic storage expansion – lower the cost of storage-
centric configurations for analytics
• Operator Access Control – customer controls access to
servers by Oracle Cloud Operations staff
• Data Guard Automation – easy setup through OCI
Control Plane
• Multi-VM support – increased workload isolation,
enabling better consolidation
• Maintenance scheduling – select / reschedule
maintenance windows from OCI Control Plane
• Patching from UI – Simple click to patch GI and Database
• Custom Database Home Images – Easily create or patch
databases with customized patches
Cloud Automation Enhancements since X8M
Exadata Cloud@Customer
Copyright © 2021, Oracle and/or its affiliates | Confidential: Highly Restricted
44

Mature Cloud Platform
Originally Released in 2017, Gen 2 Available Since October 2019
Multiple VM
Clusters per rack
Data Guard
PCI-DSS
Certification
Exadata X8M
PMEM
WITH
New Gen 2 Capabilities

PaaS or BYOL
Dynamic
OCPU Scaling
(Hourly)
Infrastructure
License
(OCPU)
48 Months
Term
Commitment
Dedicated
Shape
Fixed
Spending
Variable
Spending
Cloud@Customer
Universal
Credit
Model
ExaC@C | Pricing Model

Use Cases
Cust A
Cust B
Cust C
- Government Owned Clouds
- Hosting Service Providers (HSP)
- BYOL
- License Included
License Types Permitted Under
Multi-Customer Model
Multi-Customer Model
Available To

49
Multi-Customer on ExaC@C
• Hosting Provider buys ExaC@C Infra subscription and UC subscription with right to host
multiple customers on the same ExaC@C Infrastructure.
• Both BYOL OCPUs and License Included OCPUs can be used
• BYOL OCPUs – Hosting Provider’s responsibility to ensure that customer has valid DBEE and Db Options
licenses
• OCPU type is set at the VM level
• NOT available for Autonomous on ExaCC
• Oracle bills Hosting Provider. Hosting Provider bills their customers on their
paper/commercials

Multi-VM With ExaC@C Gen 2
To segregate end-customers on the same Exadata Cloud @ Customer
machine, we need to use Multi-VM feature on ExaC@C. The diagram below
represents a quarter rack ExaC@C with two VM Clusters each used by a
different end-customer: Cust A and Cust B.
50
RoCE Switch
Storage Server 1 Storage Server 3
Storage Server 2
Cust A Disk Group Cust A Disk Group
Cust A Disk Group
Cust B Disk Group Cust B Disk Group
Cust B Disk Group
DB Server 2
DB Server 1
Cust B VM Cluster
Cust A VM Cluster Cust A VM 2
Cust A VM 1
Cust B VM 2
Cust B VM 1
Client Network
Backup Network

Roles To Privilege Mapping
HSP can decide the level of access they want to provide to different end-customer
51
Access Level
Privileges Available To Users Of Hosted Customers
Connect Using
SQL*Net
Login To OCI
Console, View
Resources in
compartment
Login To OCI
Console, DBA
level access to
Resources in
compartment
ssh access to
“oracle” and
“grid” OS user in
the customer
VM
Connect Only ✓ ✗ ✗ ✗
View On All
Resources
within the
compartment
✓ ✓ ✗ ✗
DBA on All
Resources
within the
compartment
✓ ✓ ✓ ✗
DBA + ssh1
✓ ✓ ✓ ✓
1
ssh access to the guest VM is available to anyone who has access to the private
key of ssh keypair and can be given without regards to login access to OCI console

Ability To Adjust Resource Allocation to Each Tenant
• Administrative controls in Multi-Customer context refers to the ability for
Hosting Provider to adjust resources allocated to each tenant
• ExaC@C Multi-VM capability allows the Hosting Provider to adjust
memory, OCPU, Exadata Storage and Local Storage assigned to each VM
cluster
52

Scale Up Or Down VM Cluster Screen
53
This screen shows “Scale VM Cluster”
functionality on ExaC@C Console
that allows hosting provider to adjust
resources (OCPU, Memory, Local
Storage and Exadata Storage)
allocated to each tenant. More
information about Scale Up/Down
feature is documented here

Copyright © 2020 Oracle and/or its affiliates.
54
Elastic Scaling to Reduce Costs
On-Premises - Static
Purchase CPUs and software licenses
for highest projected peak load
Unused CPUs
Configured
CPUs
Cloud - Elastic
Adjust enabled OCPUs to match actual load
OCPUs are charged per second
CPU Usage CPU Usage
Enabled OCPUs

Cost Analysis and Billing
55
• From the OCI Console, menu item
that lets customers access
chargeback information are Cost
Analysis and Cost and Usage
Reports as shown
• This tool allows Hosting Service
Provider to understand Oracle’s
bill to HSP as well as gives usage
reports for each of their
compartments so they can be
charged per the HSP’s own rate
card
• Subsequent screenshots in the
slides that follow demonstrates
this functionality

Chargeback
56
Invoice
Oracle HSP
1 : 1 1 : Many
HSP Customers
• OCI Cost Analysis tools can provide
OCPU usage per compartment
• By placing VM resource in a
compartment, we can get VM level
usage
• HSPs can apply their own rate card to
bill their customers

57
ecch-cl1 (OCPU Hr)
License Included
ecch-cl1 (OCPU Hr)
BYOL
ecch-cl2 (OCPU Hr)
BYOL
Total
Customer A (LI) Customer A(BYOL) Customer B (BYOL)
Total (OCPU Hour) X 42.14 8826.83 16935.35
Oracle Rate Y 1.3441 0.3226 0.3226
HSP Usage ($) X * Y $56.64 $2,847.54 $5,463.34 $8,367.53
Example Markup 100% 100% 100% 100% 100%
Customer Pays 2*(X * Y) $113.29 $5,695.07 $10,926.69 $16,735.05
Customer A (BYOL + LI)
Invoice
Customer B (BYOL)
Invoice
Total
Amount $5,808.36 $10,926.69 $16,735.05
Customer Invoice Amounts
To Produce Invoice As Shown In Green Table Below
Billing Illustration

Now is the time to
consolidate your
databases to the
Oracle Exadata,
including Exadata C@C
Let us show you how
58

Jak konsolidovat Vaše databáze s využitím Cloud služeb?

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