cloud computing day1 10-13-13a.pdf

© 2009 IBM Corporation

Cloud Computing for a Smarter Planet

Prof. Dr. Kristof Kloeckner

General Manager, Rational Software

IBM

Nov 2013

Cloud Computing

Introduction

© 2009 IBM Corporation 2

Agenda

The Business Challenge

Definitions and Standards for Cloud

An Enterprise Perspective on Cloud Computing

Cloud Foundation Technologies and Cloud Platforms

References for this Course


We are at an inflection point in the industry

JUST-IN-TIME MAINTENANCE Global aircraft engine manufacturer increases service revenue by 12% in

one year using real-time monitoring and proactive fault detection

MOBILE CUSTOMER TARGETING Card swipe in one store attracts coupons from nearby store –

resulting in 109% incremental sales lift

FAST BIG DATA ANALYSIS Global stock exchange cuts response times of market surveillance algorithms by

99% while lowering IT resources by 35% using a big data analysis platform


The New Era of Computing

200 Billion

Smarter Physical Assets

Physical assets with IT intelligence

1.2 Billion

Boundless Infrastructures

Consumers will have SmartPhones

67%

Unpredictable Data Flows

of IT traffic will be Cloud-based

60,000

Expanding risk & cost

Cyber attacks every day

Cloud computing provides the foundation to effectively manage hybrid technologies


Emergence of Systems of Engagement and Internet of Things coexisting with Systems of Record

Systems of Engagement Systems of Record

• Data & Transactions

• App Infrastructure

• Virtualized Resources

• Mobile

• Social Networking

• Big Data and Analytics Next Generation

Architectures

• Sensors

• Embedded intelligence

• Connected devices

Internet of Things

CRM ERP

Systems of Discovery

Insight

Signal from noise


An Example Scenario: Proactive Asset Management Service

DISPATCH mobile repair teams

ANALYZE Predictive fault detection

SENSE Monitor assets

Asset management

GET TO MARKET FAST CONTINUOUSLY ITERATE & TEST AGILITY TO SCALE UP & DOWN

Chief Innovation Officer of a global transportation company wants to reduce maintenance costs by performing real-time monitoring of assets, analyzing that big data for predictive fault detection and providing visibility to this analysis to mobile repair teams that can be dispatched for preventative maintenance

Monitoring Streaming Scheduling


How to build Proactive Asset Management with current IT ?

App Logic

Next Feature

Prototype Sandbox Limited

Live Scaled-out

service

Developer

IT INFRA HURDLE APP INTEGRATION HURDLE

GET TO MARKET FAST CONTINUOUSLY ITERATE & TEST AGILITY TO SCALE UP & DOWN

REPEAT Through

Application Lifecycle

Asset management


Fast Application Assembly with an API-Driven Service Composition and Delivery Model

SDK

API Existing Applications

API

API

New Mobile Dispatch

Application

Services: IBM and Third Party

App Logic Asset management

Scheduling

Monitoring


Fuels investments in

INNOVATION

Drives need for continuous IT

OPTIMIZATION

OPTIMIZATION INNOVATION

Challenge is to balance Optimization of existing systems with new Innovation


CEOs View Technology As the Driving Force Shaping the Future

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Technology Factors

Market Factors

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People Skills

Regulatory Concerns

Socio-economic Factors

Globalization

Environmental Issues

Geopolitical Factors

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CEO Studies 2004–2013

Strategic reinvention 136% are more likely to use cloud to

reinvent customer relationships

Better decisions 170% more likely to use analytics

extensively via cloud to derive insights

Deeper collaboration

79% more likely to rely on cloud to locate

and leverage expertise in the ecosystem


Today’s business infrastructures are

becoming inhibitors to business change.

In this new world, organizations must transform IT from cost centers driving on-going operations to strategic centers of

business innovation


Banks use automated teller machines to improve service

and lower cost.

Manufacturers use robotics to improve quality and

lower cost.

Telcos automate traffic through switches to assure

service and lower cost.

Historically, operations have industrialized to become smarter.

… breakthroughs like these are enabled by service management systems.


The growing complexity of IT systems and soon a trillion connected things demand that sprawling processes become standardized services that are efficient, secure and easy to access.

A Service Management System will provide visibility, control and automation across IT and business services to ensure consistent delivery.

“Cloud Computing” describes a new consumption and delivery model for IT services

IT also needs to become smarter … about delivering “services”.


The Evolution of the IT Environment

From monolithic applications to dynamic services

From static infrastructure to cloud services

From programmed systems to learning systems

From structured data at rest to unstructured data in motion

From stable well-defined workloads to unpredictable workloads

From standard devices to a variety of devices

From proprietary standards to open innovation


Agenda







“Cloud” is a service consumption and delivery model inspired by

consumer Internet services.

Enabled by Virtualization, (Service) Automation, Standardization

Cloud enables:

Self-service

Sourcing options

Economies-of-scale

“Cloud” represents:

The Industrialization of Delivery for IT supported Services

Multiple Types of Clouds will co-exist:

Private, Public and Hybrid

Workload and / or Programming Model Specific

The Essentials of Cloud Computing: Consumption & Delivery Models Optimized by Workload

Cloud Services

Cloud Computing

Model


Infrastructure-as-a-Service

Platform-as-a-Service

Application-as-a-Service

Servers Networking Storage

Middleware

Collaboration

Financials

CRM/ERP/HR

Industry

Applications

Data Center

Fabric

Shared virtualized, dynamic provisioning

Database

Web 2.0 Application

Runtime

Java

Runtime

Development

Tooling

Four major categories of Cloud Computing services are emerging

Examples

Business Process-as-a-Service

Employee

Benefits Mgmt.

Industry-specific

Processes

Procurement

Business Travel

© 2009 IBM Corporation 18 Standardization; OPEX savings; faster time to value

Networking

Storage

Servers

Virtualization

O/S

Middleware

Runtime

Data

Applications

Traditional On-Premises

Networking

Storage

Servers

Virtualization

O/S

Middleware

Runtime

Data

Applications

Platform as a Service

Networking

Storage

Servers

Virtualization

O/S

Middleware

Runtime

Data

Applications

Software as a Service

Networking

Storage

Servers

Virtualization

Middleware

Runtime

Data

Applications

Infrastructure as a Service

O/S

Vendor Manages in Cloud Client Manages

IaaS, PaaS, SaaS – who manages what?


Multi-tenancy Options –

Degrees of Isolation and Sharing

Sharing Isolation

Hardware

OS

WAS & DB2

Multi-Tenant Application

Tenant Tenant

Hardware

OS

WAS & DB2

Application Instance

Tenant


Tenant

Hardware

WAS & DB2


Tenant

WAS & DB2


Tenant

OS

Hardware

WAS & DB2


Tenant

WAS & DB2


Tenant

OS OS

shared hardware shared OS shared middleware shared application

Shared App Shared Hardware Shared OS Shared Middleware


National Institute of Standards – Definition of Cloud Computing

http://csrc.nist.gov/groups/SNS/cloud-computing/

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 five essential characteristics, three service models, and four deployment models.

Essential Characteristics:

On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider.

Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling. The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines.

Rapid elasticity. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.

Measured Service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.





National Institute of Standards – Definition of Cloud Computing

http://csrc.nist.gov/groups/SNS/cloud-computing/ Service Models:

Cloud Software as a Service (SaaS). The capability provided to the consumer is to use the provider’s applications running on a cloud infrastructure. The applications are accessible from various client devices through a thin client interface such as a web browser (e.g., web-based email). The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, storage, or even individual application capabilities, with the possible exception of limited user-specific application configuration settings.

Cloud Platform as a Service (PaaS). The capability provided to the consumer is to deploy onto the cloud infrastructure consumer-created or acquired applications created using programming languages and tools supported by the provider. The consumer does not manage or control the underlying cloud infrastructure including network, servers, operating systems, or storage, but has control over the deployed applications and possibly application hosting environment configurations.

Cloud Infrastructure as a Service (IaaS). The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. The consumer does not manage or control the underlying cloud infrastructure but has control over operating systems, storage, deployed applications, and possibly limited control of select networking components (e.g., host firewalls).

Deployment Models:

Private cloud. The cloud infrastructure is operated solely for an organization. It may be managed by the organization or a third party and may exist on premise or off premise.

Community cloud. The cloud infrastructure is shared by several organizations and supports a specific community that has shared concerns (e.g., mission, security requirements, policy, and compliance considerations). It may be managed by the organizations or a third party and may exist on premise or off premise.

Public cloud. The cloud infrastructure is made available to the general public or a large industry group and is owned by an organization selling cloud services.

Hybrid cloud. The cloud infrastructure is a composition of two or more clouds (private, community, or public) that remain unique entities but are bound together by standardized or proprietary technology that enables data and application portability (e.g., cloud bursting for load-balancing between clouds).

Note: Cloud software takes full advantage of the cloud paradigm by being service oriented with a focus on statelessness, low coupling, modularity, and semantic interoperability.





Wikipedia – sampled on February 15, 2010

Cloud computing is Internet- ("cloud-") based development and use of computer technology

("computing").[1] In concept, it is a paradigm shift whereby details are abstracted from the users who no

longer have need of, expertise in, or control over the technology infrastructure "in the cloud" that supports

them.[2] Cloud computing describes a new supplement, consumption and delivery model for IT services

based on the Internet, and it typically involves the provision of dynamically scalable and often virtualized

resources as a service over the Internet.[3][4]

The term cloud is used as a metaphor for the Internet, based on the cloud drawing used to depict the

Internet in computer network diagrams as an abstraction of the underlying infrastructure it represents.[5]

Typical cloud computing providers deliver common business applications online which are accessed from a

web browser, while the software and data are stored on servers. Benefits of cloud computing can be

numerous as defined by Nubifer Inc. (in Latin Nubifer translates to bringing the clouds). Nubifer, a top cloud

computing platform and consulting provider offers a definition of The Benefits of Cloud Computing. [6]

A technical definition is "a computing capability that provides an abstraction between the computing

resource and its underlying technical architecture (e.g., servers, storage, networks), enabling convenient,

on-demand network access to a shared pool of configurable computing resources that can be rapidly

provisioned and released with minimal management effort or service provider interaction."[7] This definition

states that clouds have five essential characteristics: on-demand self-service, broad network access,

resource pooling, rapid elasticity, and measured service.[7]

http://en.wikipedia.org/wiki/Internet

http://en.wikipedia.org/wiki/Computing

http://en.wikipedia.org/wiki/Paradigm_shift

http://en.wikipedia.org/wiki/Scalability

http://en.wikipedia.org/wiki/Virtualization

http://en.wikipedia.org/wiki/Everything_as_a_service


http://en.wikipedia.org/wiki/Metaphor

http://en.wikipedia.org/wiki/Computer_network_diagram

http://en.wikipedia.org/wiki/Abstraction

http://en.wikipedia.org/wiki/Business_application

http://en.wikipedia.org/wiki/Web_browser

http://en.wikipedia.org/wiki/Software

http://en.wikipedia.org/wiki/Data

http://en.wikipedia.org/wiki/Server_(computing)


Wikipedia – sampled on October 7, 2011

Cloud computing is the delivery of computing as a service rather than a product, whereby shared

resources, software, and information are provided to computers and other devices as a utility (like the

electricity grid) over a network (typically the Internet).

Cloud computing provides computation, software, data access, and storage services that do not require end-

user knowledge of the physical location and configuration of the system that delivers the services. Parallels

to this concept can be drawn with the electricity grid, wherein end-users consume power without needing to

understand the component devices or infrastructure required to provide the service.

Cloud computing describes a new supplement, consumption, and delivery model for IT services based on

Internet protocols, and it typically involves provisioning of dynamically scalable and often virtualized

resources.[1][2] It is a byproduct and consequence of the ease-of-access to remote computing sites provided

by the Internet.[3] This may take the form of web-based tools or applications that users can access and use

through a web browser as if the programs were installed locally on their own computers.[4]

Cloud computing providers deliver applications via the internet, which are accessed from a web browser,

while the business software and data are stored on servers at a remote location. In some cases, legacy

applications (line of business applications that until now have been prevalent in thin client Windows

computing) are delivered via a screen-sharing technology, while the computing resources are consolidated at

a remote data center location; in other cases, entire business applications have been coded using web-

based technologies such as AJAX.

Most cloud computing infrastructures consist of services delivered through shared data-centers and

appearing as a single point of access for consumers' computing needs. Commercial offerings may be

required to meet service-level agreements (SLAs), but specific terms are less often negotiated by smaller

companies.[5][6]


http://en.wikipedia.org/wiki/Service_(economics)

http://en.wikipedia.org/wiki/Product_(business)

http://en.wikipedia.org/wiki/Utility_computing

http://en.wikipedia.org/wiki/Electrical_grid

http://en.wikipedia.org/wiki/Computer_network


http://en.wikipedia.org/wiki/Electricity_grid

http://en.wikipedia.org/wiki/Information_technology

http://en.wikipedia.org/wiki/Scalability

http://en.wikipedia.org/wiki/Virtualization

http://en.wikipedia.org/wiki/Cloud_computing%23cite_note-gartner-0

http://en.wikipedia.org/wiki/Cloud_computing%23cite_note-really-1

http://en.wikipedia.org/wiki/Cloud_computing%23cite_note-2


http://en.wikipedia.org/wiki/Cloud_computing%23cite_note-simple-3

http://en.wikipedia.org/wiki/Application_software


http://en.wikipedia.org/wiki/Software

http://en.wikipedia.org/wiki/Server_(computing)

http://en.wikipedia.org/wiki/Data_center

http://en.wikipedia.org/wiki/AJAX

http://en.wikipedia.org/wiki/Service-level_agreement



http://en.wikipedia.org/wiki/Cloud_computing%23cite_note-ccpaper-4

http://en.wikipedia.org/wiki/Cloud_computing%23cite_note-5


Wikipedia – sampled on October 27, 2012 Cloud computing is the use of computing resources (hardware and software) that are delivered as a service

over a network (typically the Internet). The name comes from the use of a cloud-shaped symbol as an

abstraction for the complex infrastructure it contains in system diagrams. Cloud computing entrusts remote

services with a user's data, software and computation.

There are many types of public cloud computing:[1]

Infrastructure as a service (IaaS)

Platform as a service (PaaS)

Software as a service (SaaS)

Storage as a service (STaaS)

Security as a service (SECaaS)

Data as a service (DaaS)

Test environment as a service (TEaaS)

Desktop as a service (DaaS)

API as a service (APIaaS)

The business model, using software as a service, users also rent application software and databases. The

cloud providers manage the infrastructure and platforms on which the applications run.

End users access cloud-based applications through a web browser or a light-weight desktop or mobile app

while the business software and user's data are stored on servers at a remote location. Proponents claim

that cloud computing allows enterprises to get their applications up and running faster, with improved

manageability and less maintenance, and enables IT to more rapidly adjust resources to meet fluctuating and

unpredictable business demand.[2][3]

Cloud computing relies on sharing of resources to achieve coherence and economies of scale similar to a

utility (like the electricity grid) over a network.[4] At the foundation of cloud computing is the broader concept

of converged infrastructure and shared services.




http://en.wikipedia.org/wiki/Cloud

http://en.wikipedia.org/wiki/Cloud_Computing%23cite_note-0

http://en.wikipedia.org/wiki/Infrastructure_as_a_service

http://en.wikipedia.org/wiki/Platform_as_a_service

http://en.wikipedia.org/wiki/Software_as_a_service

http://en.wikipedia.org/wiki/Storage_as_a_service

http://en.wikipedia.org/wiki/Security_as_a_service

http://en.wikipedia.org/wiki/Data_as_a_service

http://en.wikipedia.org/wiki/Test_environment_as_a_service

http://en.wikipedia.org/wiki/Desktop_as_a_service

http://en.wikipedia.org/wiki/API_as_a_service

http://en.wikipedia.org/wiki/Business_model

http://en.wikipedia.org/wiki/Application_software


http://en.wikipedia.org/wiki/Mobile_app

http://en.wikipedia.org/wiki/Business_software



http://en.wikipedia.org/wiki/Economies_of_scale

http://en.wikipedia.org/wiki/Utility_computing

http://en.wikipedia.org/wiki/Electrical_grid

http://en.wikipedia.org/wiki/Cloud_Computing%23cite_note-nist-3

http://en.wikipedia.org/wiki/Converged_infrastructure

http://en.wikipedia.org/wiki/Shared_services


Wikipedia – sampled on October 6, 2013

Cloud computing, or the cloud, is a colloquial expression used to describe

a variety of different types of computing concepts that involve a large

number of computers connected through a real-time communication

network such as the Internet.[1] Cloud computing is a term without a

commonly accepted unequivocal scientific or technical definition. In science,

cloud computing is a synonym for distributed computing over a network and

means the ability to run a program on many connected computers at the

same time. The phrase is also, more commonly used to refer to network-

based services which appear to be provided by real server hardware, which

in fact are served up by virtual hardware, simulated by software running on

one or more real machines. Such virtual servers do not physically exist and

can therefore be moved around and scaled up (or down) on the fly without

affecting the end user – arguably, rather like a cloud.

The popularity of the term can be attributed to its use in marketing to sell

hosted services in the sense of application service provisioning that run

client server software on a remote location.




http://en.wikipedia.org/wiki/Cloud_computing%23cite_note-Mariana_Carroll_2012-1

http://en.wikipedia.org/wiki/Distributed_computing

http://en.wikipedia.org/wiki/Application_service_provider

http://en.wikipedia.org/wiki/Client_server


Cloud Standards Build on a Long Tradition

Cloud Computing

e-Business

Service Oriented Architecture

Social Business

Mobile Computing

Open Cloud Architecture


• Drive user requirements into standards development process.

• Establish the criteria for open standards based cloud

computing.

• Deliver content in the form of best practices, case studies, use

cases, requirements, gap analysis and recommendations for

cloud standards.

• Position your organization as a thought leader in Cloud

Computing

Members include Aetna, AT&T, Boeing, Citigroup, Daimler, Kroger, Lockheed Martin, North

Carolina State University State Street, Valspar and over 225 other organizations!

http://www.cloud-council.org/application

• Participation –. Primarily C-Level executive, VP of Development, IT management, Enterprise architects, cloud strategy

• Meetings– Monthly virtual meetings. Quarterly face-to-face co-located at OMG events. Participation through forums and subgroups.

• Oversight – Managed by OMG with IBM sponsorship (similar to SOA Consortium)

• Leadership – Founding members form steering committee

• Standards Development – This group will not produce standards but will provide guidance to existing standards development

organizations

• Web Presence- Community, Webcasts, Case studies, blogs, vendor showcase, whitepapers,

case studies awards.

• Candidate Deliverables – ready to use content in the form of use cases, case studies, requirements,

gap analysis and recommendations for cloud standards.

• Awareness – Drumbeat of awareness utilizing events, press, books, analysts partnerships and

media.

Structure Deliverables

The Cloud Standards Customer Council – ensuring business relevance of cloud standards


Open Services for Lifecycle Collaboration (OSLC)

Dynamic Interaction

Common Services

Open Architecture

Federated Data

OSLC is an open community dedicated to making the integration of lifecycle & development tools easier.

• Key technology for continuous delivery across dev, test &

operations teams

• Based upon W3C Linked Data

• Loose coupling of resources using URLs

• Eclipse Lyo Project to develop OSLC enabled SDK

W3C Linked Data

4 design principles proposed by Tim Berners-Lee

Standardization will accelerate industry adoption &

interop

The Linked Data community is working toward standard data &

relationship formats maintained & accessed by Semantic tools.

• IBM sponsored W3C workshop on Linked Data Patterns (Dec 2011)

• IBM submitted Linked Data Basic Profile 1.0 proposal (Mar 2012)

• W3C chartered Linked Data Platform workgroup (May 2012)

Topology & Orchestration Spec for Cloud Apps

(TOSCA) will enable compose once & play anywhere

management of cloud infrastructure topologies

The OASIS TOSCA Technical Committee works to enhance the portability of cloud applications and services.

• A structural model for cloud services, components &

relationships

• A process model for build & management plans

• A packaging specification for cloud services & related

artifacts

OpenStack Foundation

OpenStack seeks to produce an ubiquitous IaaS open

source cloud computing platform for public & private

clouds

The global OpenStack community has developed an open cloud operating system, that is simple to implement &

massively scalable

• Multiple components: Compute, Store, Image Service, Identity,

Dashboard

• The foundation promotes the development, distribution and

adoption of the OpenStack platform

Platinum Sponsors

Other Standardization Efforts Related to Cloud Computing


How do we make this real? An open cloud architecture

OAuth API economy

TOSCA

Cloud

operating environment

OSLC

Software

defined environments

Open technologies are building the open cloud

architecture


Agenda







Businesses are choosing a variety of cloud models to meet

their unique needs and priorities.

Private cloud

Hybrid IT

Public cloud

Appliances, pre-integrated systems and

standard hardware, software and

networking.

Traditional IT

On or off premises cloud infrastructure

operated solely for an organization and

managed by the organization or a third party

Available to the general public or a

large industry group and owned by an

organization selling cloud services.

Traditional IT and clouds (public and/or private) that

remain separate but are bound together by technology

that enables data and application portability


Spectrum of Deployment Options for Cloud Computing

Enterprise

Data Center

Private

Cloud

Managed

Private Cloud

Hosted

Private Cloud

Shared

Cloud Services

Public

Cloud Services

Enterprise

Data Center

Third-party operated

Enterprise

Third-party hosted and operated

Enterprises Users

Free Register

Credit Card Click to contract

Hybrid Internal and external service delivery

methods are integrated

Private Public IT capabilities are provided “as a

service,” over an intranet, within the enterprise and behind the firewall

IT activities / functions are provided “as a service,”

over the Internet


5%

7%

14%

18%

16%

29%

23%

48%

46%

44%

51%

57%

47%

62%

Hybrid Cloud

PredictiveModeling

Public Cloud

Private Cloud

Big Data

Appliances

Advanced Mobile

Currently Using Exploring/Planning Adoption

Source: 2011 SWG Buyer Behavior Study n=2700

Private Clouds lead Adoption


But: Growing Customer Preference for Hybrid Clouds –

Vendor Perspectives

Microsoft 2013: ―Workload mobility across clouds and hybridity is the future‖

Rackspace (August, 2013):

– 60% of US/UK enterprises prefer hybrid deployment models

– Companies typically begin with public cloud, private cloud or dedicated servers, but later

realize they need hybrid benefits

– Companies with > 10 apps in the cloud (84% of enterprises) more likely to go hybrid

– http://www.rackspace.com/knowledge_center/article/rackspace-2013-hybrid-cloud-

survey-results

VMware’s Project Zephyr (public ESXi cloud)

– ―…using the same server, storage and network virtualization services on the public cloud

as are used inside the corporate data center would save customers a great deal of time

and money‖ – Bill Fathers, VMware

Apache CloudStack (Citrix/Cloud.com)

– Supports Amazon’s Web Services (AWS) API

Eucalyptus

– Supports AWS API

IBM (CastIron, SoftLayer, et al.)

Analysts Studies (Gartner, IDC, et al.) show growing preference

http://www.rackspace.com/knowledge_center/article/rackspace-2013-hybrid-cloud-survey-results












For Enterprises, the Cloud Value Proposition is Around Operational Efficiency

and Business Transformation

INNOVATVE BUSINESS MODELS IMPROVED OPERATIONS

Business leaders, in particular, believe

that cloud-based delivery models will

radically change service provision and

drive spending on cloud investments

55% believe cloud enables them to

focus on transforming their business

and make their processes leaner, faster

and more agile

Source: "Cloud will Transform Business as We Know It: The Secret’s in the Source”, Hfs Research, and the London School of Economics, December, 2010

65% believe cloud will drive down the

cost of running business applications

Infrastructure, testing, and SaaS are

expected to cost much less than

traditional outsourced services by at

least 30% to 60%

60% of business executives also expect

cloud service delivery cycles to speed

up application implementation

Cloud Market Trends 2011 : “To What Extent Do the Following Aspects of the Cloud Value Proposition Appeal”?

© 2009 IBM Corporation 36 36

These Factors Plus Re-Engineering IT Business and Delivery

Processes Drive Cloud Economics

Virtualization of

Hardware

Standardization of

Workloads

Utilization of

Infrastructure

Automation of

Management

Virtualized environments only

get benefits of scale if they are

highly utilized

Drives lower capital

requirements

More complexity = less

automation possible = people

needed

Take repeatable tasks and

automate

Lab

or

Levera

ge

In

frastr

uctu

re

Levera

ge

Self Service Clients who can “serve themselves”

require less support and get services


Cost Savings through Private Clouds

Traditional Infrastructure

• x86 servers – one application per server

• 10% average hardware utilization rate

• Manual operations & maintenance

Internal Private Cloud

• x86 servers – full virtualization

• 50% average hardware utilization rate

• Service management platform

versus

Can reduce IT labor cost by 50% in configuration, operations, management and monitoring

Can improve capital utilization by 75%, significantly reducing license costs

Reduce provisioning cycle times from weeks to minutes

Can reduce end user IT support costs by up to 40%

(IBM projections based on customer work)

Scale

Unit

cost

Traditional

Infrastructure

Enterprise

Cloud

Large enterprises can significantly reduce costs for some

workloads compared with traditional IT

Why…

© 2009 IBM Corporation 38 38 Cloud Computing 11/4/2013

Summary: Enterprise Benefits from Cloud Computing

Server/Storage

Utilization 10-20%

Self service None

Test

Provisioning Weeks

Change

Management Months

Release

Management Weeks

Metering/Billing Fixed cost

model

Payback period

for new services Years

70-90%

Unlimited

Minutes

Days/Hours

Minutes

Granular

Months

Legacy environments

Cloud enabled enterprise

Cloud is a synergistic fusion which accelerates business value across a wide variety of domains.

Capability From To


Total Cloud Opportunity reaches $181B by 2015 with 26% CAGR

0

20

40

60

80

100

120

140

160

180

200

2008 2009 2010 2011 2012 2013 2014 2015

Cloud Computing Opportunity

36 46

61

80

102

127

153

181

Billio

ns

26% CAGR


Over half of CIOs expect Cloud to represent >50% of

their IT transactions near term

Gartner 2011 CIO Study


Enterprises desire the benefits of cloud – but are not willing to

compromise on their requirements

44% are concerned with

the lack of or limited ability for

customization of public clouds

56% believe that service level

agreements are not detailed

enough

50% concerned about the loss of control over

IT activities/ business processes

From self service to

fully managed

environments

Varying degrees

of Security and

Isolation

Availability and

performance tuned

to workloads

Technology

platform choices

built on standards

Flexible payment

and billing

options

Enterprise Initiatives


What workloads are we seeing move to Cloud delivery?

Single virtual appliance workloads

Test and Pre-production systems

Mature packaged offerings like email and

collaboration

Software development environments

Batch processing jobs with limited security

requirements

Isolated workloads where latency between

components is not an issue

Storage solutions / storage as a services

Backup solutions / backup and restore as a

service

Some data intensive workloads if the provider

has a cloud storage offering tied to the cloud

compute offering

Workloads which depend on sensitive data

normally restricted to the enterprise – e.g. employee information, health care records

Workloads composed of multiple, co-dependent

services – High throughput online transaction processing

Workloads requiring a high level of auditability,

accountability – e.g. workloads subject to Sarbanes-Oxley

Workloads based on 3rd party software which does

not have a virtualization or cloud aware licensing

strategy

Workloads requiring detailed chargeback or

utilization measurement as required for capacity

planning or departmental level billing

Workloads requiring customization (e.g.

customized SaaS

What workloads may not be ready for Cloud delivery today?

Considerations for moving Workloads to the Cloud


Cloud Services Spectrum

43

Cloud Enabled

Workloads

Cloud Centric

Workloads

Scalable

Virtualized

Elastic

Multi-tenant

Standardized Infrastructure Heterogeneous Infrastructure

Existing

Middleware

Workloads

Emerging

Platform

Workloads

Automated LIfecycle Integrated Lifecycle

Compatibility with existing systems Exploitation of new environments


A New Operating Model for Cloud Centric Applications

Capabilities and User Experience Today Emerging

Primary Workload Types Systems of Record

(Transactional) Systems of Engagement (+ Record)

(Big Data, Analytics, Mobile/Social Channels)

Delivery Model Planned Incremental (DevOps)

Development and Operations Team Sizes

100s and Costly 10s with built-in DevOps automation

Release Frequency Months to Years Days to Weeks, based on business opportunity

Integration Frequency Weeks Continuous

Infrastructure Deployment Days Minutes

Time to Value Planned Opportunistic

Operational Model Systems Management Built in to application, Recovery Oriented

Computing, Continuous Availability

Service Sourcing Develop Consume and Assemble

(Public and Private)


Business, Development & Operational Transformation


Systems of Engagement and Systems of Record


Workloads and Applications

Client

Applications

Analytics

Mobile

Access

Custom

Applications

Database

Cloud

Centric

Systems of

Engagement

Cloud Enabled

Systems of

Record

• BPM

• WAS/J2EE

• CICS/IMS

• Portal

• …

• Hadoop

• PHP

• Cassandra

• Nginx

• Munin

• …

Existing Workloads

New workloads

Social &

Collaboration

Packaged Apps (IBM, SAP, Oracle)

Middleware (J2EE, Transactions)

+

Driven by market needs vs.

technology

Optimized for agility and

velocity for variable workloads,

scale, dynamic composition,

multiple programming models &

services

New scalable runtime focusing

on progressive composition

with loosely coupled delegated

models integrating development,

application services, operations,

and infrastructure

Optimized for reducing OPEX for

existing patterns and integrating

with existing operational and

service management processes

Significant body of automation

and integration content for

existing workloads (SAP, Oracle

etc.)

Still a large opportunity as

customers implement

virtualization and evolve to

standardization

+


Five Emerging Cloud Architectures

1. Virtualized Traditional - Extensions of Java Application Servers, Support for

‘Traditional’ Transactional Workloads (Cloud enabled)

– Moving existing workloads to the cloud

– Requires best practices, patterns, tooling

2. Database Centric - data driven + small computation on small data

– With multi-tenancy attractive for enterprise and service providers

3. Content Centric - computation needs to be close to data + large computation

on large data

– Data Mining, Analytics, Data Warehouse,

4. Loosely Coupled - computation and data are separate

– Can be addressed by existing middleware, but ‘relaxed consistency’ models

emerging

5. Storage Analytics - Data and Storage Integration


Systems of Interaction

Continuous client

experience

Partner value chain

Cloud-based Services

Systems of Engagement Systems of Record

CRM HR

DB ERP

Cloud Computing Requires Continuous Delivery

of customers experience

production delays

>45%

of outsourced projects fail to

meet objectives

>50%

of budgets devoted to maintenance and

operations

>70%

to deliver even minor application changes to

customers

4-6 weeks

DEVELOPMENT/TEST

Speed mismatch between faster moving front office and slower

moving back office systems, delaying time to obtain feedback

SUPPLIERS

Delivery in the context of agile

OPERATIONS

Rapid app releases impact system stability

and compliance

LINE-OF-BUSINESS

Takes too long to introduce or make changes

to mobile apps and services


DevOps Takes a Different Approach to Application Delivery

Operations/ Production

Development/ Test

Customers Business Owners

DevOps takes a business-oriented perspective in optimizing the entire delivery value stream by

applying Lean Principles to software/service delivery, fostering collaboration across the business

to enable continuous delivery

Agile Development Continuous

Business

Planning

Continuous Integration

Continuous Deployment

Continuous Testing

Continuous Monitoring

Existing efforts/practices address only a subset of the value chain

DevOps

Continuous Delivery of Software-driven innovation with a feedback loop

IDE

A

MA

RK

ET


DevOps Adoption Paths

Open Lifecycle and Service Management Integration Platform

OSLC

Ec

osy

ste

m

Bes

t Pra

ctic

es

Monitor and Optimize

Plan and Measure Develop and Test Release and Deploy

Operations/Production Development/Test Customers Business Owners

Continuous Innovation, Feedback and Improvements


Agenda


Cloud Definitions and Standards





Understanding Cloud Services:

IBM Cloud Computing Reference Architecture

Publically available RA whitepaper on ibm.com:

http://public.dhe.ibm.com/common/ssi/ecm/en/ciw03078usen/CIW03078USEN.PDF

CCRA OpenGroup submission:

http://www.opengroup.org/cloudcomputing/uploads/40/23840/CCRA.IBMSubmission.02282011.doc

The IBM CC RA represents the aggregate

experience

– across hundreds of cloud client

engagements

– the implementation of IBM-hosted

clouds

– of IBM’s services, software & system

and Research organization

The IBM Cloud Computing Reference

Architecture (CC RA) is reflected in the

design of all IBM cloud offerings

The CC RA consists of 21 detailed

documents representing best-of-industry

knowledge and insight on how to architect,

design and implement clouds

Governance

Security, Resiliency, Performance & Consumability

Cloud Service Creator

Cloud Service

Consumer

Cloud Service Provider

Common Cloud

Management Platform (CCMP)

Operatio

nal

Support

Services

(OSS)

Cloud Services



Software-as-a-Service

Business-Process-

as-a-Service

Business

Support

Services

(BSS)

Cloud Service Integrati

on Tools

Consumer

In-house IT

Service Creation

Tools

Infrastructure

Existing & 3rd

party services,

Partner

Ecosystems

http://public.dhe.ibm.com/common/ssi/ecm/en/ciw03078usen/CIW03078USEN.PDF

http://www.opengroup.org/cloudcomputing/uploads/40/23840/CCRA.IBMSubmission.02282011.doc


IBM Cloud Computing Reference Architecture: Architecture Overview | IBM Confidential

Governance



Cloud Service Consumer

Cloud Service Provider

Cloud Computing Reference Architecture (CC RA) – Overview

Common Cloud

Management Platform (CCMP)

Operational

Support

Services

(OSS)

Cloud Services



Software-as-a-Service

Business-Process-

as-a-Service

Business

Support

Services

(BSS)

Cloud Service

Integration Tools

Consumer In-house IT

Service Creation

Tools

Infrastructure

Existing & 3rd party

services, Partner

Ecosystems


IBM Cloud Computing Reference Architecture: Architecture Overview | IBM Confidential

Cloud Computing Reference Architecture (CC RA) – Overall drill-down

Governance



Cloud Service Provider Cloud Service Consumer

Cloud Services

IaaS

PaaS

SaaS

BPaaS

Common Cloud

Management Platform

Cloud Service Integration

Tools

Consumer In-

house IT

Infrastructure

Middleware

Applications

Business Processes

OSS – Operational Support

Services

BSS – Business Support

Services

Subscriptio

n

Managemen

t

Pricing

Entitlement

Managemen

t

Metering Rating Billing

Clearing &

Settlement

Accounts

Payable

Accounts

Receivable

Customer

Account

Managemen

t

Service

Offering

Catalog

Service

Offering

Managemen

t

Contracts &

Agreement

Managemen

t

Service

Request

Managemen

t

Order

Managemen

t

Transition

Manager

Deployment

Architect

Operations

Manager

Service Provider Portal & API

Consumer

Administrator

Consumer

Business

Manager

Consumer

End user

Service

Creation Tools

Service Management Development

Tools

Service Runtime

Development

Tools

Software Development

Tools

Image Creation Tools

Service

Component

Developer

Infrastructure

Security &

Risk Manager

Customer

Care

Service

Manager

Business

Manager

Service

Composer

Offering

Manager Service

Integrator

Serv

ice M

an

ag

em

en

t

Se

rvic

e C

on

su

me

r Po

rtal &

AP

I

Se

rvic

e D

ev

elo

pm

en

t Po

rtal &

AP

I

AP

I

AP

I

AP

I

AP

I

Existing &

3rd party

services,

Partner

Ecosystem

s

Provisioning

Incident &

Problem

Management

IT Service

Level

Management

Service Automation Management

Service Delivery Catalog

Service

Request

Management

Change &

Configuratio

n

Management

Image

Lifecycle

Management

Monitoring &

Event

Management

IT Asset &

License

Management

Capacity &

Performance

Management

Platform & Virtualization Management

Infr

as

tru

ctu

re

Mg

mt

Inte

rfa

ce

s

Pla

tfo

rm M

gm

t

Inte

rfa

ce

s

So

ftw

are

Mg

mt

Inte

rfa

ce

s

BP

Mg

mt

Inte

rfa

ce

s


Cloud Computing Reference Architecture drill-down,

highlighting some important topics

Governance


Cloud ServiceCreator

Cloud Service ProviderCloud ServiceConsumer

Cloud Services

IaaS

PaaS

SaaS

BPaaS

Common Cloud

Management Platform

Cloud Service Integration

Tools

Consumer In-

house IT

Infrastructure

Middleware

Applications

Business Processes

OSS – Operational Support

Services

BSS – Business Support

Services

Subscription Management

PricingEntitlement

Management

Metering Rating Billing

Clearing & Settlement

Accounts Payable

Accounts Receivable

Customer Account

Management

Service Offering

Catalog

Service Offering

Management

Contracts & Agreement

Management

Service Request

Management

Order Management

Transition

Manager

Deployment

Architect

Operations

Manager

Service Provider Portal & API

Consumer

Administrator

Consumer

Business

Manager

Consumer End

user

Service Creation

Tools

Service Management Development

Tools

Service Runtime Development

Tools

Software Development

Tools

Image Creation Tools

Service

Component

Developer

Inf rastructure

Security &

Risk Manager

Customer

Care

Service

Manager

Business

Manager

Service

Composer

Offering

ManagerService

Integrator

Se

rvic

e M

an

ag

em

en

t

Serv

ice C

onsum

er P

orta

l & A

PI

Serv

ice D

evelo

pm

ent

Porta

l & A

PI

AP

I

AP

I

AP

I

AP

I

Existing &

3rd party

services,

Partner

Ecosystems

Provisioning

Incident & Problem

Management

IT Service Level

Management


Service Delivery Catalog

Service Request

Management

Change & Configuration

Management

Image Lifecycle

Management

Monitoring & Event

Management

IT Asset & License

Management

Capacity & Performance

Management

Platform & Virtualization Management

Infr

astr

uctu

reM

gm

t In

terf

aces

Pla

tform

Mg

mt

Inte

rfaces

Softw

are

M

gm

tIn

terf

aces

BP

Mg

mt

Inte

rfaces

Usage Metering and Accounting

Flexible support of delivery models


Interpret and execute build- and mgmt. plans;

Orchestrate mgmt. componentry

Hybrid Cloud Management

Manage and integrate workloads on a cloud with existing processes,

management and business systems

Image Management

Design, build and manage images for cloud services

Virtualized Resource Management

Deploy cloud service on virtualized resources;

Manage virtual resources

Security

Design for multi-tenancy;

Protect assets through isolation, integrity, image- risk and compliance mgmt.





Infrastructure Platform

Usage and Accounting

Availability and Performance

Management and Administration

Security and Compliance

Application Lifecycle

Application Resources

Application Environments

Application Management

Integration

Smarter Analytics

Social Business

Smarter Commerce

Smarter Cities

Evolving the Understanding of Cloud Services –

The Old Static View


Evolving IaaS to a More Dynamic, Analytics Based Software

Defined Environment

Workload definition, Optimization, & Orchestration

Software

Defined

Environment Software Defined

Compute Software Defined

Storage

Software Defined Networking

Resource Abstraction, Optimization & Security

Integrated Workload



Infrastructure

as a Service

TOSCA

Workload definition Optimization Orchestration

Embedded analytics

Workload-aware optimization

Integrated security & governance

Capability

Value

Simplified & standardized management

Agile infrastructure

Understanding & programming workloads

OSLC


Software Defined Environment (SDE)…. A New Approach to Managing IT Infrastructure

Programmable infrastructure via Open APIs encourages broad ecosystem of

solutions providers

Workloads dynamically assigned resources based on app characteristics

and best available resources

Analytics-based compliance checking reduces security exposure & business risk

Continuous optimization to instantly address infrastructure issues & improve

response to business needs

Proactive management of IT resources to improve efficiency & control costs

of service delivery

Simplified – Responsive – Adaptive

Workload definition,

Optimization and Orchestration

Resource abstraction &

optimization

Compute Storage Network

Sim

pli

fied

ma

na

ge

me

nt

Open industry APIs


IBM is Leveraging OpenStack as the Foundation for SDE

Drive Enterprise Opportunities

Deliver Optimization

Contribute Platform Support

SmartCloud Entry

SmartCloud Orchestration

Live upgrades

Security and authentication

Membership services

Globalization translation integration

QA enhancements

Support key IBM middleware

Block storage enablement

IBM server enablement

Cross platform test and assurance

Security & Authentication

IBM DB2 support

OVF Images

Quantum Nova

Compute

Network

drivers drivers

IBM Storage IBM Servers IBM Network

OpenStack Solutions

Cinder

Block storage

drivers

IBM Cloud Solutions

IBM PureSyste

ms Solutions

Technical Computing Solutions

3rd Party Solutions

OpenStack IaaS APIs


Software Defined Environment Provides an Open, Flexible and Agile

Infrastructure

Workload definition, Optimization and Orchestration

Resource abstraction and optimization

Compute Storage Network

Open industry APIs

Facilities and IT Infrastructure

(Power, Cooling, Space)

Applications – Solution / API Economy

Platform – Cloud OE Non-Cloud Applications

Wo

rklo

ad

A

ware

Op

tim

izati

on

Secu

rity

, G

overn

an

ce,

an

d C

om

plian

ce

Serv

ice P

ort

als

Software as a

Service (SaaS)

Platform as a

Service (PaaS)

Infrastructure as a

Service (IaaS)

…. with a Rich Set of API’s for Programmable Flexibility


Ha

do

op

job

tr

ack

er

Ha

do

op

na

me

no

de

Ha

do

op

da

ta

no

de

Intel VM Power VM

Local disk SSD

Ha

do

op

job

tr

ack

er

Ha

do

op

na

me

no

de

Ha

do

op

da

ta

no

de

Intel VM Power VM

Local disk SSD

Next Feature

Prototype Sandbox Limited live Scaled-out service

20 node cluster Pure Rack 250 node cluster Server

Ha

do

op

job

tr

ack

er

VM

BRONZE SILVER GOLD PLATINUM

Intel VM

Local disk

OS network

Ha

do

op

na

me

no

de

Ha

do

op

da

ta

no

de

Ha

do

op

job

tr

ack

er

Ha

do

op

na

me

no

de

Ha

do

op

da

ta

no

de

Intel VM Intel VM

Local disk Local disk

5 node cluster

Availability cluster

Hypervisor network

10 gig network

RDMA network

How Patterns enable automation and optimization ? Example: A Hadoop Application for Transaction Fraud Detection

Varying resource requirements through the application lifecycle


Automation and Optimization with Patterns of Expertise – (I)

Develop Hadoop fraud detection app

•Write application code (fraud detection logic)

• Expertise to operate Hadoop or virtual infrastructure not required

LoB Developer


Pick Software Pattern for Hadoop

• Captures established best practices for running a Hadoop service

• Pick from a library or build once, use often

• Specify desired Quality of Service (QoS)

LoB Developer

Automation and Optimization with Patterns of Expertise – (II)

Hadoop Expert

Abstracts Workload “As Code”


Pick Infrastructure Pattern

• Pre-defined pattern of infrastructure resources for the chosen QoS of the workload

•Defines VM, storage, network type and topology

LoB Developer

IT Expert

Automation and Optimization with Patterns of Expertise – (III)

Abstracts Infrastructure “As Code”


LoB Developer

Automation and Optimization with Patterns of Expertise – (IV)

Automated orchestration & optimization

•Optimal placement of server, storage and network resources

•Non-disruptive adjustment of resources based on workload and infrastructure events

Orchestration and Optimization


Embracing provider heterogeneity is vital

Data Center

Private Public

W1 W2 W3 W4

R1 R2 R3

Workloads

Resources

OLD MODEL

C

NEW MODEL

Cross Provider

Orchestration

Expert Integrated Systems

IaaS, PaaS, SaaS

Classical HW

(Bare metal / Virtualized)


An example instantiation of Provider Heterogeneity

Cross Provider Composition

Hosted

Externally

Managed

Externally

(e.g. MongoHQ)

PaaS (Cloud Operating Environment)

Services

Runtimes & Frameworks

NoSQL DB

Node Tomcat Ruby PHP WebSphere

Java

IBM DBaaS

IBM Watson

Customer Workload

WebSphere eXtreme Scale

Hosted

On SoftLayer

Managed

Externally

(e.g. Cloudant)

Hosted

On SoftLayer

with Openstack /Baremetal & managed with

SmartCloud Orchestrator (SCO)

Hosted

On Pure & managed with

SCO

Hosted

On Power

& managed independently

Hosted

On-Premise

VMware

vCenter & managed with

SCO

…


SERVICE CATALOG

Tooling

Cross-Provider Orchestration Configuration, provisioning, event handling, patching

Monitoring

Usage & Accounting

Backup & Restore

Event Management

Incident, Problem & Change

Patching & Compliance

Workload Scheduling

Lifecycle Management in Cross Provider Orchestration

API

Middleware Deployment Patterns and

Lifecycle Services

Patterns

Openstack

Private Clouds Public Clouds

API


Introducing IBM BlueMix

IBM initiative to develop an open Cloud Operating

Environment

IBM and partner cloud services

Integrated DevOps with both Browser and Eclipse-based tools

Beta at http://bluemix.net

Services

Lifecycle Management

(JazzHub)

Application Runtime

Runtimes & Frameworks

Middleware Application Operational Mobile External Data

node java ruby Worklight WebSphere

Liberty

Web IDE (Eclipse Orion)

Eclipse IDE Application

Composition Environment

Create & Manage Services

Test/Run Test/Run

Explore Services

Explore Services

IBM BlueMix

Check In Code Check In Code


Developer Centric Platform, Marketplace & Services in a

Cloud Operating Environment

OPEN ecosystem of composable services

Optimized workload deployment

Integration patterns with systems of record

Capability Value

Fast, automated composition of services

Repeatable patterns-of-expertise

TOSCA

Workload definition, Optimization, & Orchestration

Software Defined

Environment Software Defined Compute Software Defined Storage

Software Defined Networking

Resource Abstraction & Optimization

Cloud Operating

Environment data mobile development operational application

services

Traditional Workloads

Services & Composition Patterns API & Integration

Services Traditional

Workloads

security Software as a Service



cloudfoundry.org

…


6

5

4 3

2

Create app

Add database service

Extract social media data into

database

Add social analytics service

Add Monitoring service instance

Agile Service Composition

Secure the service

1

ITERATE

TASK:

Create a secure application that

analyses sentiment about certain

topics in social media


BEFORE

Physical Server

Hypervisor

VM VM VM VM

Physical Server

Hypervisor

VM VM VM VM

Physical Server

Hypervisor

VM VM VM VM

Physical Server

Hypervisor

VM VM VM VM

Physical Server

Hypervisor

VM VM VM VM

Physical Server

Hypervisor

VM VM VM VM

Physical Server

Hypervisor

VM VM VM VM

Physical Server

Hypervisor

VM VM VM VM

Software Defined Environment

++

+

++

+

Policy Policy Policy

Policy

++

+

++

+

Policy & automation

Manual Patterns Analytics Policy

Enforcement

From Pure Consolidation to a Programmable Shared Infrastructure

AFTER

Automation

Storage Network

Compute


API API

API

API API

API

API API

API

API API

API

API API

API

API API

API

SERVICES FABRIC

API API API

Social Commerce Mobile

Value-added Services

Loyalty

Promotion

Payment

API

API Enterprise

Customer Interaction

API Enterprise Patterns

API

API Enterprise

Capabilities

Enterprise Capabilities

API Enterprise

Capabilities

BANK

TELCO

RETAIL

Serv

ices

Pa

tter

n

API Service Management

Throttling

API-Catalog

Monitoring

Governance


API Economy

Composition of services

Marketplace of internal & external services

Capability

Rapid application development & delivery

API-accessible applications

Multi-channel integration

Value

External

Ecosystem

Marketplace Solutions App

API

API Economy

services

API

analytics

API

commerce

API

collaboration

API

location

API

data

API API

OAuth

Software as

a Service



Cloud Operating

Environment

Workload definition, Optimization, & Orchestration Software Defined

Environment Software Defined Compute Software Defined Storage Software Defined

Networking

Resource Abstraction & Optimization

Traditional

Workloads

Services & Composition Patterns API & Integration

Services

data mobile dev ops application services

security …


Next Generation Cloud Platform - IBM’s View

Resource abstraction and optimization

Workload definition, Optimization and Orchestration

External Ecosystem

Software Defined Compute Software Defined Storage Software Defined Network

Middleware Mobile Datastore Services Security Ops Dev’t

Traditional Workloads

Collaboration Commerce Analytics Location Data Services

API API API API

Marketplace Solutions

API API

API API

Application

Services and Composition Patterns API and Integration

Services

Software as a

Service (SaaS)

Platform as a

Service (PaaS)

Infrastructure as a

Service (IaaS)

API Economy

Cloud Operating

Environment

Software Defined

Environment


Next Generation Cloud Platform Architecture Built on Open

Technologies

Software as a

Service (SaaS)

Platform as a

Service (PaaS)

Infrastructure as a

Service (IaaS)

API Economy

Cloud Operating

Environment

Software Defined

Environment

OAuth

OpenShift cloudfoundry.org

TOSCA

OSLC


Open architectures enable real innovation through interoperability


Agenda






References – Downloads from Web

Michael Armbrust et al., Above the Clouds: A Berkeley View of Cloud Computing, Feb. 2009

– http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf

Cloud Computing: Platform as a Service. InformationWeek Analytics, October 2, 2009

CSA. Top Threats to Cloud Computing V1.0 https://cloudsecurityalliance.org/topthreats/csathreats.v1.0.pdf

Cloud Use Cases White Paper Version 4, http://cloudusecases.org

DMTF: Architecture for Managing Clouds, Version 1.0.0, 2010-06-18

DMTF: Interoperable Clouds, Version 1.0.0, 2009-11-11

Luiz André Barroso and Urs Hölzle, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, Synthesis Lectures on Computer Architecture, 2009, http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006?cookieSet=1

Scott Crowder, Introduction to Workload Optimized Approach & Workload Market Segmentation, IBM White Paper, December 2009

David Chappell, A short introduction to Cloud, http://www.davidchappell.com/CloudPlatforms--Chappell.pdf

David Chappell, Cloud Platforms Today: A Perspective, April 2009 http://www.davidchappell.com/CloudPlatformsToday--APerspective--Chappell.pdf

Jeffrey Dean and Sanjay Ghemawat, MapReduce: Simplified Data Processing on Large Clusters,

– labs.google.com/papers/mapreduce-osdi04.pdf

DeCandia et al. Dynamo: Amazon’s highly available key-value store, SOSP 2007, http://portal.acm.org/citation.cfm?id=1294281&dl=ACM&coll=ACM&CFID=47859964&CFTOKEN=98797782

European Network and Information Security Agency (ENISA), Cloud Computing, Benefits, risks and recommendations for information security, Nov 2009 (http://www.enisa.europa.eu)

Gregor Hohpe, Programming the Cloud, November 2009

http://www.enterpriseintegrationpatterns.com/docs/HohpeProgrammingCloudKeynote.pdf

Anna Liu, Architecting Cloud Applications – the essential checklist, AAF Keynote 2009,

National Institute of Standards and Technology, Definition of Cloud Computing, http://csrc.nist.gov/groups/SNS/cloud-computing/

National Institute of Standard and Technology, NIST Cloud Computing Reference, Special Publication 500-292

Ning Duan et al., Tenant Behavior Analysis in Software as a Service Environment, ICSOC 2009

Daniel Nurmi et al., The Eucalyptus Open-source Cloud-computing System, http://www.cca08.org/papers/Paper32-Daniel-Nurmi.pdf

Open Cloud Manifesto, http://www.opencloudmanifesto.org/

OpenNebula.org – Various papers

B. Rochwerger et al., The Reservoir Model and Architecture for Open Federated Cloud Computing, IBM Journal of Research and Development, April 2009 http://www8.cs.umu.se/~elmroth/papers/ibmjrd2009.pdf

Werner Vogels, Eventually Consistent, ACM Queue, October 2008

Kees van Gelder, Elastic Data Warehousing in the Cloud, Vrije Univ. Amsterdam

Ying Huang et al., A Framework for Building a Low Cost, Scalable and Secured Platform for Web-Delivered Business Services, IBM Systems Journal, November 2009

Michael Yuan, Java PaaS Shootout, 4/5/11, IBM developerWorks

http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf





http://cloudusecases.org

http://www.morganclaypool.com/doi/pdf/10.2200/S00193ED1V01Y200905CAC006?cookieSet=1

http://www.davidchappell.com/CloudPlatforms--Chappell.pdf



http://www.davidchappell.com/CloudPlatformsToday--APerspective--Chappell.pdf





http://portal.acm.org/citation.cfm?id=1294281&dl=ACM&coll=ACM&CFID=47859964&CFTOKEN=98797782

http://www.enisa.europa.eu/

http://www.enterpriseintegrationpatterns.com/docs/HohpeProgrammingCloudKeynote.pdf




http://www.cca08.org/papers/Paper32-Daniel-Nurmi.pdf





http://www.opencloudmanifesto.org/

http://www8.cs.umu.se/~elmroth/papers/ibmjrd2009.pdf


References

Company Web Sites: Amazon, Microsoft, Google, IBM, Salesforce.com

http://wiki.developerforce.com/page/Multi_Tenant_Architecture

Gregor Hohpe, Bobby Woolf, Enterprise Integration Patterns, Addison-Wesley 2004

Jez Humble and David Farley: Continuous Delivery, Addison Wesley 2010

Kristof Kloeckner, Middleware for Distributed Systems, Lecture Notes 2004

Kristof Kloeckner, The IBM Cloud Agenda, White Paper 2009

Web Site der Open Group: www.opengroup.org/cloudcomputing

George Reese: Cloud Application Architectures, O’Reilly 2009

John W. Rittinghouse, James F. Ransome, Cloud Computing. Implementation, Management and Security, CRC Press 2009

Andrew Tanenbaum, Maarten van Steen: Distributed Systems. Principles and Paradigms, Prentice-Hall 2009

Rich Schiesser: IT Systems Management, Prentice-Hall 2002

Jim Rymarczyk, Virtualization, Pre-Print 2009

Tivoli Service Automation Manager Solution Guide

Adam Wiggins, The Twelve-Factor App, 12factor.net

Bill Wilder, Cloud Architecture Patterns: Using Microsoft Azure, O’Reilly 2012


Exams

Write short essay (8-10 pages) on one of the questions below, with 30 minutes exam

Questions:

Breiter: Describe the Common Cloud Management Platform Reference Architecture (CCMP RA). Give a

brief overview of the CCMP RA - what are the technical workproducts (TWPs) which the RA contains.

Briefly describe the TWPs. Highlight some examples of Cloud Services which can be managed by the

CCMP RA.

Schlatter: With Hybrid Clouds the question is no longer "To Cloud or not to Cloud", i.e., the question is no

longer only what workloads are suitable, or not suitable for the Cloud. Instead, enterprises must solve

multi-dimensional optimization problems: what should they build and host themselves, in traditional IT or in

on-premise private cloud environments, and what should they get from which of the various off-premise

IaaS, PaaS, or SaaS cloud service providers.

– Describe an imaginary example of that optimization problem:

What is the goal function, i.e., what is to be achieved? What should be maximized, what should be

minimized? Give examples of both quantitative and qualitative measures.

What are the constraints? Think of examples of non-functional requirements that may have to be

met in a given situation, and that may limit the degrees of freedom.

What are the decision variables, i.e., what are the Points-of-Variability, what needs to be decided?

Give examples of the cloud service characteristics that need to be taken into account.

Kloeckner: Discuss the importance of multi-tenancy for PaaS, and the various ways of achieving it in the

layers from Virtualization to Middleware. Particular focus on DB

Kloeckner: Relaxed consistency – discuss the various approaches described in the papers of Hohpe,

Vogels and others. Advantages, disadvantages. Discuss one implementation in detail.

.


Exams – Questions continued

Kloeckner: Discuss the properties of content-centric applications with an in-depth description

of Hadoop and its applications, compare to Google

Kloeckner: In-depth description and analysis of MS Azure

Kloeckner: Discussion of warehouse scale computing, pros and cons of commodity

infrastructure - Barroso/Hoelzl

Kloeckner – Discuss the main characteristics of Cloud Security

Kloeckner – Discuss the main considerations for performance of clouds

Kloeckner – Discuss the major elements of cloud economics (including references like

‘Above the Clouds’

Breh - What are the approaches to adapt the cloud computing concepts ?

– Discuss the approaches considering cultural and organizational aspects?

– What are the potential integration points of cloud processes into an enterprise?

– Why are they important?

Noll: Storage

– What are the requirements/goals for consumers and for providers of storage services in

a cloud environment?

– What are the benefits of storage virtualization and what are the pre-requisites of using

storage virtualization?

– Describe the main functional areas needed for storage management in cloud

environments.


Exams – Questions continued

Schwertle: Design a HA/DR solution for a cloud offering. State your viewpoint (CSC or CSP),

define potential workload to be run in your offering, adapt your solution accordingly. Describe

required components and technologies. Outline potential outages and how your solution

protects against such..

Behrendt: Imagine you're a lead architect, responsible for a software development team in an

enterprise. Your enterprise operates in the "traditional" way from both a software

development and IT operations perspective.

– You're asked to develop a proposal for changing that towards a cloud-based devOps

approach, in collaboration with a peer on the operations side.

– Discuss steps you would take on this journey, including the associated architecture,

rationale for the stages in your roadmap and expected benefits & challenges for both the

development and operations side. Address both technical, process and organizational

changes you would take.


Thank you!

For more information, please visit:

ibm.com/cloud

Or contact me at:

[email protected]


Viewing Middleware as Services Patterned Services

• Operational Expense Savings • Reduced complexity through

standardized patterns • Automated QoS characteristics

and middleware operations

Shared Services • Operations amortized across all

applications

• Operational Expense Savings • Reduced complexity

• Increased reuse

App A

DB A

App B

DB B

App C

DB C

App A

App B

App C

DB A DB B DB C

Database-as-a-Service

86


Virtualized Middleware can be deployed in different ways

Images

• Basic execution services for

standalone VM images

• Complete control over image

contents

• Basic image

management/library functions

• Vendor provided product

images

• Ability to create custom

images

• Leverages IBM image

management tools

Topologies

• Vendor defined product

images and patterns for

common topologies

• Ability to create custom

patterns

• Traditional configuration and

administration model

• Aligned around existing

products

• Automated provisioning of

images into patterns

Workloads

• Application awareness

• Fully integrated software

stacks

• Vendor defined topologies

• Simplified interaction model

• Highly standardized and

automated

• Integrated middleware with

cloud capabilities

• Integrated lifecycle

management


Understanding the Tradeoffs

TTV

Long

Short

Customization/Control

TCO

High

Low

High Low

Customer

Built

Images

Application

Resources

as a

Service

Virtual

Applications

(Workloads)

Solution

Patterns

(Topologies)


Multiple pattern types to enable open ecosystem

8

9 © 2012 IBM Corporation

Virtual Application Patterns

๏ Highly automated deployments using expert patterns

๏ Business policy driven elasticity

๏ Built for the cloud environment

๏ Leverages elastic workload management services

Best TCO

cloud applications

Virtual System Patterns

๏ Automated deployment of middleware topologies

๏ Traditional administration and management model

๏ Application and infrastruture driven elasticity

Improved TCO virtualized applications

Standard TCO

existing applications

Virtual Appliances

๏ Standard software installation and configuration on OS

๏ Images created through extend/capture

๏ Traditional administration and management model

๏ Infrastructure driven elasticity

Virtual Appliance

Metadata

Software application

Operating system

Virtual Appliance

Virtual Appliance

Metadata

Application Server

Operating system

Virtual Appliance

Metadata

Application Server

Operating system

Virtual Appliance

Metadata

HTTP Server

Operating system

Virtual Application Patterns Virtual System Patterns

Virtual Appliances

Software application


9

0

Virtual Application (Workload) Pattern Features

Automated Scaling Managed environments scale up and down based on

observed utilization of compute resources

Failover Failed virtual machines are replaced with new VMs

which are configured with the old VM’s identity

Load Balancing Requests coming into virtual application environments

are load balanced

Security ACL’s for application sharing and management

access, LDAP integration for application security

Monitoring All components of virtual application environments are

monitored


Writing software for traditional middleware

Java EE

application

DB definition

Java

packages

Java

classes

JSPs

JSFs

HTML files

CSS files

Manifests

Descriptors

Workspace

projects

Composite

Blueprints

Images

Properties

Source Applications Middleware

Server

configs

Edit Deploy Test Debug Analyze Profile Check-in

Change request Work item

Check-out

XML files

Data files

OSGi

application

Inte

gra

tion

Q

A

Pro

du

ctio

n

WAS

DB2 DB2

WAS

WAS

Configuration


Writing software for Platform as a Service

Cloud

Java

packages

Java

classes

JSPs

JSFs

HTML files

CSS files

Manifests

Descriptors

Workspace

projects

Composite

Blueprints

XML files

Data files

Source Applications Middleware

Server

config

Edit Deploy Test Debug Analyze Profile Check-in

Change request Work item

Check-out

Application Pattern

WAS

DB2

WAS

DB2

WAS

Java EE

app.

Policy

DB

OSGi

app.

Inte

gra

tion

Q

A

Pro

du

ctio

n

Cloud app

models


Where private clouds are going

Integrated Middleware Platform & Image Management

Individual Deployment

Middleware

Application

Hardware

Today Tomorrow

Operating System

Shared Hardware

Shared Hardware & Virtualized Applications

MW

App

OS

MW

App

OS

MW

App

OS

Benefits

Increased utilization of

infrastructure

Location independent deployment

Benefits

Standardized middleware

Increased utilization of

software

Improved deployment speed

Simplified applications

management

Shared Infrastructure

Integrated Middleware Platform

App App App App

Ima

ge

Ma

na

ge

me

nt

Challenges

Low hardware

utilization

Heavily

customized

infrastructure

Challenges

Building images

Image proliferation

Governance of changes

Creation of composite applications

Connectivity to legacy and off

premises applications

Yesterday


Spectrum of Commercial Cloud Platforms

Client VMs

Shared

Services

Hypervisor Hypervisor

Amazon Azure Google

Salesforce.com

Standard

VM Images

Shared

Services

Client VMs

Shared

Services

Client

Services

Degrees of Freedom


Some Public Cloud Platforms

Vendor Generalized from… and

platform style

What does the platform offer

for the apps?

Google App Engine Search -- content-centric

Scalable Analytics and Storage

Amazon Web Services Shopping Cart, Spare

computation -- loosely coupled

Cheap MIPS, flexible and

simple storage, queues,

database, simple stacks

Microsoft Azure MSN and countless ISV .net

applications

VisualStudio Development for

standard and new apps

Force.com Salesforce.com multi-tenant

CRM app -- database centric

Simple Multi-tenant

transactional app building

environment


Hybrid Cloud Management, Security and Integration

From the Enterprise Client’s perspective:

Seamless integration of enterprise management with workload running off-premise on clouds

– Visibility of software applications and services (monitoring, events, availability, performance)

– Control of identity, data security, governance, and compliance

– Automation of service definitions, policy based workload offloading, P2C/V2C cloud conversion, elastic scaling of CCMP, availability and disaster recovery SLAs

Security for Hybrids

– Control security and resilience of services (identity management, compliance, isolation)

Enterprise to Cloud Integration

– Secure and efficient data exchange across the enterprise and clouds

– Secure business application connectivity and governance

Application and Workload migration

– Tools to support the migration of workloads to cloud

Enterprise Resources

Public Cloud

Touchpoint

Pipe

Transformation

Private Cloud

Federated Virtual Service Domains

Business Applications & Information

Enterprise Management of Cloud software, applications, workload

Secure Pipe

Off-premise shared

services

Private shared services


8

Hybrid Cloud Integration Scenarios

On-premise to off-premise Business Application Integration: Example:

On-premise Database to Salesforce Cloud

Sync customer records

Security: Directory Integration & Identity Federation Example

Synchronize on premise ODW LDAP and LotusLive Domino directory info and facilitate SSO

Sync on-premise identity model and directory

Hybrid Monitoring Example

Federate Monitoring info of Workload in IBM Public Cloud

Tivoli Monitoring Server

IBM Cloud

LDAP Directory

Database

Common

Cloud

Manage

mentPla

tform Public Cloud Resources (IBM Cloud)

Common

Cloud

Manageme

nt

Platform Private (On Premise

Resources)

Mgmt and

Capacity Overflow

of/to Public Cloud

Governance & Hybrid Workload Management Examples:

Governance for acquiring Resources from IBM Compute Cloud and/or Amazon; Workload

Management and capacity overflow from CCMP based private Cloud to IBM Compute Cloud

Connect off-

premise monitoring

events to on-

premise monitoring

system

DB2

Staging

DB

Cognos BI

Cognos Apps

DB2

SIB Staging

DB

ERP

Data

Replication

Query Access

Cognos and other Analytic Applications in the Cloud: Initial Load to Cloud; Change Data Capture Replication to & from Cloud; Query Access; Data

Cleansing


Hybrid Cloud Management, Security & Connectivity in a Picture

On-premise business applications & information

Enterprise Infrastructure & Private Cloud

Cloud Integrator: Secure Connector, Business Application

Integration, Information Brokering, Monitoring & Management, Security

Federation

Public Cloud [SaaS, IBM Cloud, other Public Cloud]

Off-premise shared services

Off-premise business applications & information

Governance

Management

Integration

Security Private shared

services


The next chapter for cloud computing

To fulfill its potential as the next evolution of enterprise IT, cloud computing

promises to become much more than an enabler of IT efficiencies.

It promises to become a driver of business transformation,

innovation and growth

Low cost and high speed:

Operational Dexterity

Flexibility and agility:

New business value

Simplicity and ease of use:

IT without boundaries


The impact of cloud is extending deeper into the business, driving

process transformation and enabling new services…

An Evolution of

Information Technology

An Enabler of

Business

Transformation

Changing the economics of IT

Automating service delivery

Deploying new capabilities

Supporting new levels of collaboration

Speeding creation and deployment of new services

Enabling new business models

…and providing an opportunity for IT to be a

catalyst of transformation.

$

“When we started our journey

to the cloud two and a half

years ago, 95 percent of the IT

budget and headcount was

allocated to the operations

side of our business…By the

end of the year we want to get

that figure to about 30 percent,

so we can get 70 percent in the

transformational budget” -

CIO, media company

Source: Kamesh Pemmaraju’s blog,

“Leaders in the Cloud”,

http://sandhill.com/opinion/daily_bl

og.php?id=71


Slides from various decks


Organizations are now moving beyond virtualization to higher value stages of cloud computing

Virtualization

underpins

Cloud

Cloud focuses

on eased service

consumption &

management

End-to-end real time monitoring and

optimization

Virtualization management

Service delivery automation

Business service catalogs & self service

Consumption based metering and dynamic capacity optimization


Private & Hybrid Clouds Cloud Enablement Technologies

Managed Cloud Services Infrastructure and Platform as a Service

Cloud Business Solutions Software and Business Process as a Service

Foundation Services Solutions

Delivered through a comprehensive SmartCloud platform

built on open standards.

Commitment to open standards and a broad ecosystem

Business Process as a Service




Design Deploy Consume


Clear path from ‘try’ to development to production in both private and public clouds

IT Developers

Developer centric

environment, resources and

exchange

Trial, cloud-based

development & test

lifecycle services

Production

Partner

Portal

Private

Public

SmartCloud

SmartCloud

Development

hub

IBM Pure

Application /

System

• Video demos

• Sample code

• Expert resources

• Support forums

• Blog

• Virtual Application Patterns

• Virtual Systems Patterns

IBM Confidential

Pilot


Backup Slides


Cost savings and faster time to value are the leading reasons why

companies consider cloud

Percent rating factors as a major inducement (4 or 5)

Respondents could rate multiple drivers items

50%

72%

77%

Improve

reliability

Faster time to

value

Reduce

costs

Improve system availability

Hardware savings Software licenses savings

Lower labor and IT support costs

Lower outside maintenance costs

Relieve pressure on internal resources

Simplify updating/upgrading Speed deployment

Scale IT resources to meet needs

•

•

•

Improve system reliability

•

•

•

To what degree would each of these factors induce you to acquire public cloud services?

Source: IBM Market Insights, Cloud Computing Research, July 2009. n=1,090

•


Nearly one-third of respondents say a 20-29% cost reduction is

needed to make a compelling business case for public cloud delivery

Respondents selected one

7%

8%

18%

30%

14%

11%

7%

5%

Would consider even without savings

Less than 5% to less than 10%

10% to less than 20%



40% or more

Would not consider at any savings level

Don’t know

What is the minimum cost reduction you would need to acquire services through a public cloud?



Percent rating the factor as a significant barrier (4 or 5)

Respondents could select multiple items

Concerns about data security and privacy are the primary barriers to

public cloud adoption

69%

54%

53%

52%

47%

Security/privacy of

company data

Service

quality/performance

Doubts about true

cost savings

Insufficient responsiveness

over network

Difficulty integrating

with in-house IT

What, if anything, do you perceive as actual or potential barriers to acquiring public cloud services?



The majority of respondents

are focused on traditional

disciplines of systems

management: security,

networks, servers and

applications

Service management — essential to consistent delivery across all IT

environments — is even more critical for cloud computing

Rate how critical each of the listed service management processes/functions is to your company.

Security management 70%

Network management 68%

Server performance and management 65%

Application and database performance management

57%

Storage performance and management

49%

Availability management

47%

Incident and problem management

43%

Capacity management

36%

36% Change and configuration

management

Percent Rating As Critical (4 or 5)

Respondents could rate multiple processes as critical

Source: IBM Market Insights, Cloud Computing Research, July 2009. n=927


Few companies are far along the virtualization maturity continuum —

even though it is an essential technology for cloud

Percent Selecting

Respondents selected one

Which one of the following best describes your company’s use of virtualization technologies?

18% of companies indicate that

virtualization is a strategic

objective or transformative,

whereas one-third report that

they are not currently using

virtualization technologies at all



Decision-makers high on private usage/consideration index are significantly

more likely to be further along the virtualization maturity continuum

Virtualization Maturity: Private Cloud Usage/Consideration Index*

KEY Low Private Cloud

Usage/Consideration

High Private Cloud

Usage/Consideration

Those low on the private

cloud usage/consideration

index* are significantly less

likely to be using any

virtualization technologies

Which one of the following best describes your company’s use of virtualization technologies?


© 2009 IBM Corporation 113 113 113

The Cloud Opportunity (Sub-Segments)

May 2010 View

BPaaS SaaS PaaS IaaS

Source: May 2010 view based on April 2010 Cloud Ph 1 Assessment with subsequent XaaS breakdown support/adustment from IDC June 2010 Public Cloud assessment

tbd

$6

9B

$32.3B

$17.4B

$4B

$15.3B

2012 2015

$B

$20B

$40B

$80B

$100B

$60B

tbd

$29.1B

$9.9B

$19.8B

$54.6B

$120B

$11

3.4

B

$4.8B $1.0B

$6.5B

2008

$10.9B

$2

3.2

B

CAGR

31%

CAGR

25%


Application Life Cycle in a Cloud

Enterprise apps

moved to the cloud

Scalable Web

Applications

(loosely coupled)

Content Centric

Applications

(parallelizable)

Data-base Centric

Apps (multi-tenant)

Model/Build Rational Tools

(RSA, BuildForge)

sMash and

AppBuilder

IBM Hadoop Pangoo Tools,

SaaS Maker

Deploy WCA /Image

Dispenser plus

RAFW

Virtuoso IBM Hadoop Pangoo

Onboarding Tool?

Run Optimized WAS

and DB2 Services

Virtuoso IBM Hadoop Pangoo

Connect (with

Enterprise)

SilverLining,

Secure Information

Broker..

SilverLining Secure Information

Broker?

Secure Information

Broker?

Manage/Secure Monitoring Service,

apps migration wb,

TFIM, isolation,

backup/recovery

Monitoring Service,

identity,

backup/recovery

Monitoring Service,

identity

Monitoring Service,

compliance,

identity,

backup/recovery,

compliance,


Support of Application Types through different Platforms

Platform Enterprise apps

moved to the cloud

Scalable Web

Applications

(loosely coupled)

Content Centric

Applications

(parallelizable)

Data-base Centric

Apps (multi-tenant)

IBM Cloud Service

Platform

Sweet Spot

Images, Patterns,

Life cycle Mgmt

Virtuoso (future),

Some support

through existing

MW (WSX, WVE)

Open Hadoop, with

IBM extensions

(service asset)

Pangoo (in

deployment in

China)

Microsoft Azure .Net Azure platform

services

No Support Multi-tenancy

supported in Azure

SQL Services

Amazon Web

Services

Images supported

by partners

SQS, SimpleDB, Elastic MapReduce No support

Google AppEngine No support

Sweet Spot ? BigTable, GFS etc. No support

Force.com No support No Support No Support Sweet Spot


Private & Hybrid Clouds Cloud Enablement Technologies

Managed Cloud Services Infrastructure and Platform as a Service

Cloud Business Solutions Software and Business Process as a Service

Foundation Services Solutions

Delivered through a comprehensive SmartCloud platform

built on open standards.

Commitment to open standards and a broad ecosystem

Business Process as a Service




Design Deploy Consume


Sharing Policy

Sharing Policy in the Web Application Pattern

App

Low

Hardware

OS

WAS

App

App

Medium

Hardware

OS

WAS

App

OS

WAS

App

OS

WAS

App WAS

App

WAS

App

Hardware

OS

WAS

App

App App

App

High


The data center is evolving to help accelerate business velocity,

while being more flexible and cost-effective.

Flexible Services

“Fail

In-place”

Better Business

Economics

Programming

Model Shift

Dev-Ops Model

Transformation

Consolidation with

Standardization

Consolidation

via Upgrades

Complex, Skill Intensive,

Reactive Monitoring…

Simplified, Automated,

Proactive…

Physical Systems

Accelerated

Business Velocity

Data Center

Of the Future

Consolidation

without Migration


A layered and open cloud architecture is necessary

Platform Services

Infrastructure Services

Backplane Fit for purpose PODS

Business Applications as

components Service Oriented

Architecture

OSLC


Next Generation Cloud Platform – IBM’s View

External

Ecosystem Analytics Commerce Collaboration Location Data Services

Marketplace Solutions App

Software Defined

Networking

Resource Abstraction

& Optimization

Software Defined

Storage

Software Defined

Compute

Workload definition, Optimization & Orchestration

Development Big Data &

Analytics Security Integration Mobile Social

Services & Composition Patterns API & Integration Services

Traditional

Workloads

API API

API API API API API API

Software

as a Service

Platform

as a Service

Infrastructure

as a Service

API

Economy

Cloud

Operating

Environment

Software

Defined

Environment

cloud computing day1 10-13-13a.pdf

Documents