Ninoguarnacci Fabriziomarini Oracle Master Oracle Fusion Middleware Ed Exalogic Elastic Cloud

8/13/2019 Ninoguarnacci Fabriziomarini Oracle Master Oracle Fusion Middleware Ed Exalogic Elastic Cloud

1/48


2/48

Cloud Computing is Top of Mind

Source: Gartner. Leading in Times of Transition. The 2010 CIO Agenda


3/48

What is Cloud Computing?

National Institute of Standards & Technology Definition

Cloud computing is a model for enabling convenient, on-demand networkaccess 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:

Public Cloud

Private Cloud

Community Cloud Hybrid Cloud

4 DeploymentModels

SaaSSoftware as a Service

PaaSPlatform as a Service

IaaSInfrastructure as a Service

5 EssentialCharacteristics

On-demand self-service

Broad network access

Resource pooling Rapid elasticity

Measured Service

3 ServiceModels

Source: NIST Definition of Cloud Computing v15


4/48

The Cloud Architecture Is

a Three-Layer Cake

Application Infrastructure

Services (PaaS*)

Application Services (SaaS*)

System Infrastructure

Services (IaaS*)

V-Cloud

* According to NIST (National Institute of Standards and Technology), http://csrc.nist.gov/groups/SNS/cloud-computing/index.html

Private Cloud Public Cloud


5/48

5

Private vs Public: Trade Off

Private Cloud

I

NTERNET

Public Clouds

INTRANET

PaaS

Apps

IaaS

PaaS

SaaS

IaaS

Used by multiple

tenants on a

shared basis

Hosted and

managed by

cloud service

provider

Exclusively used

by a singleorganization

Controlled and

managed by

in-house IT

Lower upfrontcosts

Outsourced management

OpEx

Lower totalcosts

Greater control over security, compliance, QoS

CapEx & OpEx

Trade-off

Enterprises will adopt a mix of private and public clouds


6/48

IaaS

IaaS vs PaaS vs SaaS: Trade Off

IaaS

Builtby

user

Builtby

user

App3 App4

Providedby IT HW HW

Storage

OS OS

App1

DB

AS

Portal

IDM

PaaS

App2

DB

AS

SOA

BPM

Providedby IT

DBAS

SOA

Portal

BPM

IDM

Shared Service

HW HW

Storage

OS OS

IaaS

DB

ProvidedIT

AS

SOA

Portal

BPM

IDM

Shared Service

HW HW

Storage

OS OS

Application

SaaS

Trade-OffHigher Flexibility

Higher Effort

Higher Complexity

Lower Flexibility

Lower Effort

Lower Complexity


7/48

Evolution of a Cloud Provider

Road-map

RoadRoad--mapmap

Standar-dise

StandarStandar--disedise

Consoli-date

ConsoliConsoli--datedate

Auto-mate

AutoAuto--matemate

Opti-mise

OptiOpti--misemise


8/48

From Silos to Grid to Cloud


9/48

Traditional Infrastructure:Siloed, Complex, Heterogeneous

Customer

RelationshipManagement

Appl.Server

PortalServer

BIServer

IntegrationServer

Database

Server

OLAP

Server

Operating System

Servers

Storage

Silos 1

Order

Management

Appl.Server

Portal

Server

BPMServer

B2BServer

DatabaseServer

Operating System

Servers

Storage

Silos 2

Customer

PortaleCommerce

Appl.Server

PortalServer

MobileServer

Web 2.0Server

Database

Server

Operating System

Servers

Storage

Silos 3


10/48

Evolving From Silos to Grid

From Physical to Virtualized Resources

Physical,dedicatedsilos

Sized for peakload

Difficult toscale

Expensive tomanage

Virtualized,sharedresources

Improvedutilization

Scale asneeded

Efficient tomanage


11/48

Datacenter Evolution

From Consolidation to Private Cloud to Hybrid Cloud

Private Cloud Evolution

Public CloudEvolution PaaS

SaaS

IaaS

Public Clouds

Hybrid

Federation withpublic clouds

Interoperability

Cloud bursting

App1 App2 App3

Private IaaS

Private PaaS

Virtual Private Cloud

Hybrid

PaaS

SaaS

IaaS

Private Cloud

Self-service Policy-based

resource mgmt

Chargeback

Capacity planning

App2 App3

Private IaaS

Private PaaS

App1

Silod Grid

Physical Dedicated

Static

Heterogeneous

Virtual Shared services

Dynamic

Standardizedappliances

App1 App2 App3

App1 App2 App3

Private IaaS

Private PaaS


12/48

12

Server Virtualization and Clustering Deliver

Resource Pooling and Elastic Scalability

Both server virtualization and clustering are key

technologies for Cloud Computing

Clustering Software

Single Physical Resource

Consumers

Multiple Virtual Resources

Consumers

Multiple Physical Resources

Server Virtualization ClusteringMake one physical resource look like many Make many physical resource look like one

Virtualization Software

Single Virtual Resource


13/48

The Cloud Promise

On-demand self-service

Broad network access

Resource pooling

Rapid elasticity

Measured Service

Its not just Virtualization!!!


14/48


15/48

15

Oracle Has a Broad but Focused Cloud Strategy

Public Clouds

IaaS

PaaS

SaaSIN

TRANET

Private Cloud

Users

IaaS

PaaS

SaaS IN

TERNET

IaaS

PaaS

IaaS

PaaS

AppsSaaS

Oracle Technology inPublic Clouds

Oracle On Demand Oracle Applications

Oracle Private PaaS

Our objectives:

Ensure that cloud computing is fully enterprise grade Support both public and private cloud computing give customers choice

Private CloudSolutions

Applications on ashared platform

Database &middleware forPaaS

Hardware &

systems for IaaS

Public CloudSolutions

Oracle On Demandcloud services

Oracle on 3rd partypublic clouds (i.e.

Amazon)

Powering 3rd party

public clouds (i.e.RackSpace, Savvis)


16/48

16

Oracle Cloud Solutions

Application

Quality Mgmt

Configuration

Management

Application

Performance Mgmt

Lifecycle

Management

Physical & VirtualSystems Mgmt

Ops Center

Infrastructure as a Service

Database Grid: Oracle Database, Database Options

Exadata Database Machine

Application Grid: WebLogic Server, Coherence, JRockit

Exalogic Elastic Cloud

Platform as a Service

Integration:

SOA Suite

Security:

Identity Mgmt

Process Mgmt:

BPM Suite

User Interaction:

WebCenter

Oracle ApplicationsCustom Apps ISV Apps

Software as a Service

Oracle VM for x86

Operating Systems: Oracle Enterprise LinuxOracle LinuxOracle Solaris

Oracle VM for SPARC (LDom)Solaris Containers

Servers

Storage

Oracle Enterprise

Manager

Cloud Management


17/48

Private PaaS Lifecycle

Self-Service InterfaceShared Components

Set up PaaS

Set up shared

components

Set up self-

service portal

IT

App Developer

App Users

1. Set Up Cloud

2. Build App

3. Use App

4. Scale up/down

App

Assemble app

using shared

components

Deploy through

self-service

Adjust capacity

based on policies

Monitor via self-

service

App Owner 5. Chargeback Meter usage

and charge

back to app

owners ordepartments

Oracle VM

Oracle Enterprise Linux

Oracle Database

Oracle Fusion Middleware

OracleEnterpriseManager


18/48

1818

Challenge 1: Resource PoolingHow to combine Clustering and Server virtualization


19/48

Application Grid and Database Grid:Shared Resource Pooling with Dynamic Capacity Adjustment

DeptApp 1

DeptApp 2

SharedService

SharedService

OracleEnterpriseManager

SharedService

Dept App 1

Sense demand spike

WebLogic Suite-based Application Grid

Oracle Database Grid: RAC, ASM, IMDB Cache

Sense

demand

spike

WebLogic Server

cluster nodes

Coherence Data

Grid nodes

Oracle Database

Cluster nodes

Sense

demand

spike

Adjust

capacity

Adjust

capacity

Adjust

capacity

Virtual or Physical


20/48

2020

High density Java VirtualizationEliminate the Guest OS from Appliances

Runs natively on hypervisor

Higher density

Better performance Reduced operational cost

Simpler patching

Improved security

Same administrative

infrastructure

WebLogic console + scripting

Enterprise Manager

JRockit Mission Control

Custom Java appliances Building blocks for larger

assemblies

Simple deployment


21/48

High density Java VirtualizationEliminate the Guest OS from Appliances

OVM OVM OVM

Standard Virtual MachineImage Appliances

OS

Middleware

Application

Appliance

WebLogic Server VirtualEdition Appliances

WebLogicServer VE

Appliance

Smaller appliances

Faster deployment

Higher utilization

More secure

Higher performance

Faster live migration

OS

21 2010 Oracle Corporation


22/48

JRockit & WebLogic Virtual Edition

Efficient Java SEin a Virtualized Environment

Hypervisor

JVM

Application

JRockit VE

Application

OSHypervisor

32% increased

performance

over a guest OS

WebLogic withJRockit VE

WebLogic onGuest OS

WebLogic onPhysical OS

Runs natively on hypervisor

Higher density

Better performance Reduced operational cost

Simple deployment

Simpler patching

Improved security

Same Administration

WebLogic console + scripting

Enterprise Manager

JRockit Mission Control

Simple. Secure. Efficient.


23/48

2323

Challenge 2: Rapid ElasticityApplication Deployment is Complex, Error Prone and

Time Consuming

Dep

loy

appli

catio

n

.5 day

1 to 2 weeks

Inte

grat

eand

test

com

plete

end-to

-endp

latfo

rmenv

ironm

ent

1-2 days

Use

scrip

tsorm

anua

llyc

onfig

ure

alls

oftw

are

com

pone

ntsto

cre

ate

platfo

rmenv

ironm

ent

.5 day

Cre

ate/cu

stom

ize

scrip

ts

toau

tom

ate

proc

ess

1-3 days

Inst

all&

config

ure

OS

and

allp

latform

softw

are

1-4 days

Pro

visi

onvirt

ualiz

edres

ourc

es

1-2 days


24/48

Virtual Appliance: Oracle VMAdvanced Xen-Based Server Virtualization Solution

Run Oracle Database,

Fusion Middleware, andApplications

Run non-Oracle workloads

Supports Linux, Windows,and other operating

systems

Free to download and

distribute

Oracle VM Oracle VM Oracle VM

1.Package once

2.Deploy

rapidly,multiple times

3. Live migrate

for dynamicoptimization

Appliance

24

OS

DB/MW/Apps


25/48

2525

Application Aware VirtualizationAssemblies of multiple Appliances

Metadata

AssemblyVirtualizedSoftware

Appliances

Web

Appliance

ApplicationServer

Appliance

Database

Appliance

Transform Multi-Tier Application Components

into Collection of Configurable Building Blocks

WLS WLSSOA

Svc

Web

RAC RAC

Web

Web Tier

Application

Tier

Database

Tier

Reference System


26/48

Application Aware VirtualizationFull N-Tier Deployment and Management of Complex

Applications Onto Virtual Infrastructure

Package up complex structure from dev/test and reconstitute in production

Minimize setup time and risk of hard-to-debug configuration errors Easily replicate in production with minor variations

Each production instance has well-contained configuration parameters for

flexibility

config1

Dev/Test

Environment

ProductionEnvironments

config2

Assembly =Appliances(VM Templates +

configurationMetadata) +relationships & startorder Metadata


27/48

OVM OVM OVM

Application Aware VirtualizationOracle Virtual Assembly Builder

Automated packaging,

of multi-tier application

components intocollection of self-

contained and

inter-related software

appliances (Assembly) Automate deployment

and configuration of

entire complex

application topologies

onto virtualized

hardware resources

Assemblies,Appliances

Catalog

DeploymentResource

Pools

AssemblyEditor

PropertiesInspector


28/48

2828

Challenge 3: On-demand Self-ServiceHow to formalize what I need from my application

platform

VS.


29/48

Deploy Application on your PaaS CloudSelf-Service Interface

Self-serviceprovisioning- Virtual Appliance

- Complete Assemblies

Users can select- Server size

- Storage volumes

- Dynamic/static IP- Network profile

Policies for quota,

retirement, chargeback


30/48

3030

Challenge 4: Measured ServiceHow to measure and chargeback


31/48

31

Cloud Management

Oracle Enterprise Manager

Ops Center

Cloud Monetization

Oracle Billing and RevenueManagement

Metering and ChargebackOracle Enterprise Manager + Oracle Billing and Revenue Management

CloudServices

Middleware

Database

OS

Virtualization

Applications

Complete Cloud Management and Monetization Capabilities


32/48

32

Oracle Cloud Management Capabilities

Configuration

and

Compliance

Application

Performance

Management

Lifecycle

Management

Application

Quality

Management

Foundation Capabilities for Managing Datacenters

Cloud Management Capabilities

Full Apps to Disk

Management

Self-Service

Provisioning

Policy-Driven

Resource Mgmt

Metering and

Chargeback

Capacity

Planning

Assembly

Packaging


33/48

33

Engineered Systems

Exalogic Elastic Cloud


34/48


35/48

35

Demand for Engineered SystemsStandard platform for PaaS Cloud

Supports existing

applications Excellent performance

under varied workloads

Uniform reliability,

availability and

serviceability

Scalable and elastic;

capacity on demand Simplified supply chain

CustomCustom

3rd Party33rdrd PartyPartyCICS/COBOLCICS/CICS/COBOLCOBOL

LogsLogsLogs

CRMCRM

BatchJobs

BatchBatchJobsJobs

ERPERPERP

SOASOASOA

IDMIDM

E20E20

CustomCustom

E20E20ContentContent

33rdrd PartyParty

E d t d E l i


36/48

36

Exadata and ExalogicEngineered Systems as the Foundation for Private PaaS

Database and middle tier machines

Unmatched performance, simplified deployment,

lower total cost

Building blocks for private and public PaaS

Building the 21st Century Datacenter


37/48

37

Fastest Java Performance

Application performance improved upto 10X

Foundation for MissionCritical CloudBest for application consolidation

Best for elastic capacity on demand

Engineered SystemLowest cost to deploy and operate

Fastest path to production

One Platform for the Whole Enterprise

Performance, reliability and simplicity


38/48

38

Oracle Exalogic Extreme Performance

Internet Applications 12X improvement

Over 1 Million HTTP Requests/Sec.

FaceBooks Web Traffic on 2 Full Racks

Messaging Applications 4.5X improvement

Over 1.8 Million Messages/Sec.

All Chinese Rail Ticketing on 1 Rack

Database Applications

1.4X improvement Almost 2 million JPA Operations/Sec.

All E-Bay Product Searches on 1/2 Rack

Exalogic

Exalogic

Exalogic

Alternative

Alternative

Alternative


39/48

39

Oracles Elastic Cloud Foundation

Application Grid, OS, Enterprise Manager and hardware

EL X2-2

Coherence

EnterpriseManager Oracle Linux or Solaris

Exalogic Elastic CloudSoftware

JRockit and HotSpot

WebLogicServer

Exalogic Elastic Cloud Hardware

Tuxedo


40/48

A New Kind of Computer

Building an elastic cloud with InfiniBand

Grid Architecture

Simple to scale

Open, standard

Simple to consume

Lossless switched fabric

Quality of Service and security

Fault tolerance and failover

Extreme Scalability EL X2-2

*http://www.top500.org/static/lists/2009/11/top500_statistics.pdf


41/48

41 2010 Oracle Corporation

Oracle Exalogic Elastic CloudOne Platform for the Whole Enterprise

Central storage for

system images

Clustered for HA

40 TB SAS disk

4 TB read cache

72 GB write cache

Integrated StorageIntegrated StorageIntegrated Storage

40 Gb/sec links

1.2 microsecond

latency (MPI Ping)

10 Gigabit Ethernet

connectivity to

datacenter

I/O FabricI/O FabricI/O Fabric

EL X2-2

30 x86 compute nodes 360 Xeon cores (2.93 GHz)

2.8 TB DRAM

960 GB FlashFire SSD

X2-2X2X2--22

30 SPARC T3 compute nodes 480 SPARC cores (1.6 GHz)

3.8 TB DRAM

960 GB FlashFire SSD

EL T3-1BT3-1BT3T3--1B1B

ExpectedH1C

Y11

ExpectedH1C

Y11

ExpectedH1

CY11


42/48

42

Scale from One Application to CloudStart small and grow

Quarter RackQuarter RackHalf RackHalf Rack

Full RackFull Rack

MultiMulti--rackrack

Seamless hardware upgrade

Flexible software licensing

O l E l i El ti Cl d


43/48

43

Oracle Exalogic Elastic CloudDelivering real business value

Mission

Critical Cloud

Operational Cost

Reduced up to

1515--35%35%

Integrated

System

Time to Deploy

Reduced up to

95%95%

Extreme Java

Performance

Improved

up to

10X10X

O l Cl d Pl tf K Diff ti t


44/48

Oracle Cloud Platform Key Differentiators


45/48

Section Divider


46/48

oracle.com/cloud

CaseStudy

Cloud@Oracle: Oracle University


47/48

47Cloud Computing

Cloud@Oracle: Oracle UniversitySelf Service Broad Network Access Resource Pooling

Copyright 2010, Oracle. All rights reserved. Oracle Confidential

234 physical servers | 2,300 Virtual Machines | 3,447 templates/modules

2,300 environments automatically

provisioned weekly

1/10th the hardware

CPU utilization increased from 7%

to 73% Revenue per server increased 10X

Servers to administrator ratio

increased 10X

CaseStudy

Cloud Computing Delivers Real Benefits


48/48

48Cloud Computing

Cloud Computing Delivers Real Benefits

Solution: JAP Java Application Platform

DHP Database Hosting Platform CHP Compute Hosting Platform

Centralized deployment of 200+ apps

Oracle:

WebLogic Server 10.3

Oracle Database 11g

Solaris

Sun M-Series/T-Series

Benefits: 35% reduction in operating costs

30% reduction in project costs 44% power consumption avoided in

4 years, while doubling capacity

No downtime incidents in 3 years

Solution: Oracle as a Service PaaS

Consolidate 300 small to mediumdatabase environments onto 3 grids

Advanced chargeback model for cost

recovery

Oracle:

Oracle Database 11g

Exadata

Benefits: 50% operating cost improvement

P&L breakeven in Year 1 Server utilization: 15% 80%

Elasticity CPU can be taken from

resource pool as needed

Ninoguarnacci Fabriziomarini Oracle Master Oracle Fusion Middleware Ed Exalogic Elastic Cloud

Documents

Transcript of Ninoguarnacci Fabriziomarini Oracle Master Oracle Fusion Middleware Ed Exalogic Elastic Cloud