Introduction to Cloud Computing

© 2013 IBM Corporation
Understanding the Cloud v1.0, December 2014
IBM Education
Understanding The Cloud
1
by Alessandro Iudica

Agenda
1. Welcome & Introduction
2. What is Cloud?
3. IBM and Cloud
4. Cloud solutions for IBM partners
2 © 2014 IBM Corporation
2

Cloud we already know
 All of us use for personal or business reasons, on regular basis, at least one or more cloud services
like:
 E-mail client: Gmail, Yahoo mail, MS Outlook (formerly Hotmail)…
 Backup: Dropbox, iCloud, Google drive, MS OneDrive (formerly SkyDrive)…
 Applications: Adobe Creative Cloud, Google Docs, MS Office 365 (formerly Business Productivity
Online Suite)…
3

Agenda
2. What is Cloud?
3. IBM and Cloud
4

Answering the 1st question: What is Cloud?
 In IT the term cloud computing indicates a number of technologies that enable delivering services
for data archiving or elaboration trough hardware and software, by using resources distributed and
virtualized, typically in a Client-Server architecture.
 The core technologies for cloud are: virtualization, networking and storage; the combination of
these technologies permit to deliver different levels of services.
 Every day we use different cloud services that were impossible 10 yeas ago but the concept of cloud
computing is more than 60 years old; at that time it was intended to make available the
computational power of mainframes sharing “CPU Time”. For this purpose technologies were
developed to use machines from distance via remote access.
 IBM was the first company to deploy technologies for cloud computing on its mainframes and still
continues to innovate its offering with newer and more powerful solutions like Watson, the next big
step in artificial intelligence and Big Data analysis.
5

Fundamentals of Cloud
 Another definition: “Cloud computing is a model for enabling ubiquitous, 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.”
National Institute of Standards and Technology's (NIST)
 Cloud computing permits the use of remote resources on different systems and globally; it’s
availability is strongly dependent on network and delivery model of the cloud service.
 Cloud computing enables companies to outsource part of its IT infrastructure drastically reducing
TCO (total cost of ownership) and moving costs from CAPEX (capital expenditure, assets value
decreases with use) to OPEX (operational expenditure, pay per use model).
 The flexibility of technical solutions has the consequence of extreme scalability of resources that
may be rapidly adjusted to fit different workloads.
6
Source: If applicable, describe source origin

What is the big deal about virtualization?
 A variety of operating systems can be used on the same physical server
 Servers can be automatically turned off when not needed
 An Instance can be defined to optimized resources as required
 Customers need fewer physical servers
 Lower capital investments
 Energy savings
 Effective resource consolidation
 Easier to manage
 For example, moving the workload from one physical machine to another is simply as dragging
a folder
 Able to automatically add capacity as the load increases
 Imagine how the demand on a mail server might changes throughout a 24 hr period
 More resources can be added as the demand increases and removed as the demand decreases
 You can attach a Security VM directly to the internet and have all other VMs controlled by
the hypervisor come through it and if there is a security breach, it only impacts the Security VM.

 Common mistake: “Virtualization is needed to do cloud
computing”
This is NOT true
 You can provide cloud capability via bare metal servers (just like SoftLayer does)
 A bare metal cloud server is dedicated to a specific tenant, not shared among tenants.
As such, the basic “unit” is an actual server: customers choose the type of server
configuration they want from a menu offered by the provider.

Cloud characteristics
Essential Characteristics (benefits):
 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 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,
tablets, laptops, and workstations).
 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, and network bandwidth.

Cloud characteristics
 Rapid elasticity
 Capabilities can be elastically provisioned and released, in some cases automatically, to
scale rapidly outward and inward commensurate with demand. To the consumer, the
capabilities available for provisioning often appear to be unlimited and can be
appropriated 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.

Other cloud computing benefits
 Virtualization
 Resources can be shared between many computing resources (physical servers or
application servers). Provide more efficient utilization of IT resources and reduce
hardware cost through resource consolidations and economies-of-scale. Lower Total
Cost of Ownership and improving asset utilization.
 The main advantage of virtualization in cloud computing is that the software is
decoupled from the hardware. Decoupling allows hosting an individual application in
an environment that is isolated from underlying operating system.
 Virtual machines are completely isolated from hosts and other virtual machines
(crash of a virtual machine does not affect other virtual machines).
 Service Automation Management
 IT environments that provide the capability to request, deliver, and manage IT
services automatically. Reduce IT operational costs by automating the processes used
to deliver and manage a cloud computing environment.

Delivery models
 Cloud services can provide a customer with different delivery models based on different layers of
services that can be offered:
 IaaS: Infrastructure as a Service is the delivery model where cloud provider delivers a virtual
infrastructure where an Hypervisor (software) runs virtual servers as hosts. Everything on server is
managed by customer.
 PaaS: Platform as a Service is the model where the cloud provider manages also OSs and
middleware on customer’s virtual servers.
 SaaS: Software as a Service is the most comprehensive model where provider manages also
applications on customer’s servers, in addiction to what delivered by previous models.
 Each one of this level of service can be delivered as public cloud, private cloud and hybrid that is a
combination of the two before.
12

Collaboration
CRM/ERP/HR
Industry
Applications
Software as a Service (SaaS)
Business
Processes
Web delivered applications. These applications can be anything from Web-based email to inventory control and database processing.
Because the applications and the data are “hosted” in the cloud, the end user is free to use the service from anywhere over the
internet. Applications are sold based on usage. Salesforce.com is an example
Middleware
High Volume
Transactions
Web 2.0 Application
Runtime
Development
Tooling
Platform as a Service (PaaS)
Platform-as-a-service in the cloud is defined as a set of software and product development tools hosted on the infrastructure. Developers
create applications on the Vendor’s platform over the Internet. GoogleApps is an example.
Data Center
Database
Java
Runtime
Servers Networking Storage
Fabric
Shared, virtualized, dynamic provisioning
Infrastructure as a Service (IaaS)
Infrastructure-as-a-Service provides virtual server instances with unique IP addresses and blocks of storage on demand. Customers
use the provider's application program interface (API) to start, stop, access and configure their virtual servers and storage. In the
enterprise, cloud computing allows a company to pay for only as much capacity as is needed, and bring more online as soon as
required. Amazon Web Services is an example.

Cloud options – Deployment models
Public Cloud
Private Cloud
Hybrid Cloud

A virtual private cloud (VPC) is dedicated to a single customer within a public cloud.
The virtual private cloud extends the customer network into the cloud provider’s “space”, making
the additional resources available on demand.

Workload types – cloud suitability (public vs. private)
Private cloud Public Cloud
Employee information or other sensitive data typically
restricted to the enterprise
Test systems and environments
Workloads composed of multiple, co-dependent
services
Pre-production systems and environments
Workloads requiring customization Mature packaged offerings, like e-mail and
collaboration
Workloads based on third-party software that does
not have a virtualization or cloud-aware licensing
strategy
Storage solutions (including storage as a service)
High throughput online transaction processing Backup solutions (including backup and restore as a
service)
Batch processing jobs with limited security
requirements
Data-intensive workloads if the provider has a cloud
storage offering linked to the cloud compute

Agenda
2. What is Cloud?
3. IBM and Cloud
18

Cloud growth forecast
19 For IBM Internal Use Only © 2014 IBM Corporation

About IBM Cloud Computing
IBM has helped more than 30,000 clients around the world with 40,000 industry experts. Since
its acquisition in 2013, IBM SoftLayer has served 4,500 new cloud clients. Today, IBM has 100+
cloud SaaS solutions, thousands of experts with deep industry knowledge helping clients
transform and a network of 40 data centers worldwide. Since 2007, IBM has invested more
than $7 billion in 17 acquisitions to accelerate its cloud initiatives and build a high value cloud
portfolio. IBM holds 1,560 cloud patents focused on driving innovation. In fact, IBM for the 21st
consecutive year topped the annual list of US patent leaders. IBM processes more than 5.5M
client transactions daily through IBM's public cloud.

© 2013 IBM Corporation
IBM Hardware solutions
21
System z
PureSystems
Integrated expertise
Systems
System Storage
Power
Systems
System x
• IBM System Z
• OS: z/OS, z/VM, Linux Mainframe
• IBM System p
• OS: AIX, Linux Power
• IBM System x
• OS: Windows Server, Linux Intel (x86)

Software acquisitions
22 http://w3.ibm.com/news/w3news/top_stories/2008/05/stgswg_acquisitionmap.html © 2013 IBM Corporation

Software acquisitions
 Nearly $42B on more than 150 acquisitions since the beginning of 2000

Summary – Virtualization and cloud offerings
Additional cloud services
Virtual Machine
Hypervisor
CPU
Memory
Network
Storage
• Monitoring
• Costing
• SLA
• Automation
• Etc.
Virtualization
Resource pool
(e.g. server / storage
farm)
Formally known as SCE + (Smart Cloud Enterprise)
IBM Offerings

Comparison – Key points for Flex Systems
Power Systems and PowerVM
– PowerVM is only available on Power Systems hardware (p24L, p260, p460)
– Power Systems hardware always comes with PowerVM
– PowerVM can be controlled through Flex System Manager
– IBM has a Statement of Direction to support KVM on Power Linux machines
– This will only support Linux VMs on specific Power Linux hardware (p24L)
x86 (Intel) Systems Virtualization
– VMware, KVM and Hyper-V run on x86 hardware (x220, x240, x440)
– VMware is the current market leader in x86 virtualization
– Each provides their own management options
– All these options can be controlled through Flex System Manager
– Usually hardware benchmarks are performed with no virtualization
– Software virtualization has an impact on system performance
Linux Kernel Virtualization Manager (KVM)
– Open-source software leveraged by various companies
– Including Red Hat Enterprise Virtualization (RHEV)
2

Virtualization types - suitability
PowerVM
– Supported software packages (ie Oracle database and applications, SAP etc)
– Large virtual machines required (>2TB ram, >64 cores)
– Multiple variable workloads (can use full DLPAR technologies)
– Multiple varied workloads consolidated onto single server
– Mission critical workloads requiring high RAS levels
– Oracle databases licensed per core require fewer licenses
VMware ESXi
– Running multiple Windows and Linux operating systems
– High levels of availability required (use clustering)
– Medium-large workloads running at fairly constant levels
Microsoft Hyper-V
– Consolidating multiple Windows based workloads
– VDI implementations running Windows XP or 7
– Running only medium sized VMs – small VMs can affect performance
Linux KVM
– Consolidating multiple Linux based workloads
– Running a fully open-source environment
– Running small clusters of inexpensive hardware
2

Highlights
PowerVM
+ Most reliable, most resilient, can reduce software licensing costs with hard partitioning
– Limited application availability, more expensive hardware than x86, no support for Windows
Operating Systems
VMware
+ Good operating system and application support, market leader on x86
– Limited scaling capability, requires clustering for HA, using extra system resources
Microsoft Hyper-V
+ Windows feel for familiarity, works well with Microsoft OSes and applications
– Most security vulnerabilities, not as flexible as other offerings, uses most resources
Linux KVM
+ Open-source so easily adaptable and constantly developed, community support
– No fixed structure, limited scalability, not yet proven in enterprises
2

About IBM Cloud Computing

Agenda
2. What is Cloud?
3. IBM and Cloud
29

What are the benefits and the caveats to consider when
considering moving a customer to cloud?
 Transition form a classical It infrastructure to cloud must be evaluated with maximum care for
different reasons:
Pros Cons
Reduced TCO of IT
infrastructure
30
Elevated costs of transition
from old infrastructure
Reduced time for system
deployment
Limited by network availability
and infrastructures
Remote management Data location and privacy laws
Outsourcing Unknown ROI
Scalability Provider dependent if not
based on Open standards
Pay as you go Not suitable for all business

Iaas, Paas, Saas Comparison

Return Of Investment - Possible changes for organization
 All depends on cloud solution / approach client prefers.
 E.g. Company moves all apps to SaaS model with external cloud provider
– Minimum administrators needed (all is being managed by cloud provider)
– Significant reduction of cost for IT infra and resources in all directions
 E.g company moves wants to use PaaS model with external cloud provider
– Less work for administrators is expected (no installation, no license procurement,
no server management)
 E.g company moves Infra to IaaS model with external cloud provider
– Less people needed for server management (due to server consolidation, SaaS
options)
– Administrators could focus from physical -> to virtual administration (IaaS)
– Monitoring
• Performed by cloud provider (e.g. CMS example)
• Performed by own employees (e.g. typically SoftLayer situation)
– Less approvals needed (smoother process – provisioning vs. procurement of
physical HW)
32 © 2014 IBM Corporatio3n2

ROI - Possible changes for organization

Five key elements for a successful Cloud sale
Address these five key elements as you engage with the client.
1. Determine if Cloud is a good fit for
the client. Does it meet the business needs?
2. Understand the impacts of organization, culture, and
process.
3. Identify key areas of automation and Information
Technology Service Management (ITSM) integration.
4. Define technology and process standards.
5. Identify targeted workloads and
migration considerations.

What is ROI Analytics and why is it important for Cloud?
 Return on Investment
– ROI is the financial return expected for a new operation model
 Essentially, this involves quantifying the following:
– Operational costs of the current IT process
– Operational costs of performing the same using the cloud-based
service
– Investment needed to enable the cloud-based service
– Effect on other processes directly and indirectly affected by the
IT process being targeted
– Investments and benefits of add-on software and services
 Interactions and interdependencies between business
processes and the IT processes significantly affect the costs
and benefits the transformation
 Principles of ROI analysis
– Invariable processes are not considered
– Risk factors have to be taken into account
– Business gains (e.g. financial gain from speed to market, new
products etc) are not calculated. These are typically calculated
in a business case.

Challenges of ROI Analytics for Cloud
The Challenge
 Need common processes, models and tools to drive consistency of our offerings
 Models & tools need to support pre-Sales through to Consulting
 Should have common look and feel to ease adoption and show consistency with customers
 Must be easily maintained with product releases and always reflect current capabilities of the
offering
 Must be accessible by our sales channels (Face to Face, Inside Sales, and Business Partners)
Content Challenges
 Need ability to quickly “run a ROI” with minimal data while maintain flexibility to “expand” the
details to fine tune model if information is available
 Do not require detailed information to be provided about the customer environment if not available
 Default values must be both industry & geo accepted for cases in which customer-specific data is
not available
 Provide ability to expose calculations or detailed data points where sensible in the results views to
enable deeper analysis
 Hosted – to ensure you always have latest version and data available
A common “agreed upon” method for calculating and presenting ROI and TCO is needed to
insure consistency of analysis and messaging around our offerings.

Cloud Strategy Framework (1 of 5)

Summary
Strategy framework - key dimensions for Cloud adoption
Business
Models
• Enables industry, enterprise, and business unit initiatives to drive step-change market
performance
• Includes front-office and back-office transformation, leveraging Cloud ecosystem–drive new
revenue, channel, and product opportunities
• Drives opportunities ranging from optimization and innovation to highly disruptive plays
Application
and Delivery
Platforms
• Leverages variable service models for application software to enhance process agility and
economics
• Enhances product and services architecture
• Drives extreme innovation
• Drives enhanced productivity in IT, improving cycle time execution in software delivery–
promotes workforce transformation and Application Portfolio Management and Project
Portfolio Management (APM/PPM)
Data
Platforms
• Leverages variable service models to align enterprise capabilities in data
transformation and management
• Drives actions to optimize process through efficient information
management, reporting, and predictive analytics
• Enhances results through complex event processing of structured and
unstructured information sources
Infrastructure
Platforms
• Leverages robust, scalable, and highly available computing platforms to
manage the enterprise and ecosystem
• Integrates hybrid Cloud networks to ensure ‘friction free’ access to
capabilities

Cloud Infrastructure Strategy and Design uses a structured approach
to identify potential Cloud opportunities and develop a high-level
implementation plan
Cloud Infrastructure Strategy and Design
Overview and
strategic alignment
 Review current IT and business environment
 Introduce Cloud concepts and analysis framework
 Determine IT provider relationship profile
 Review IT priorities
Cloud Opportunity
Identification
 Identify potential Cloud opportunity areas
 Determine desired Cloud targets
 Assess potential Cloud workloads
Current IT
Environment
Assessment
 Review overall IT readiness for Cloud
 Analyze current IT environment and the future
requirements to support Cloud
 Define gaps in current IT capabilities
Prioritization of IT
Enhancements
 Assign priority and estimated effort to closing
each Cloud-related IT gap
 Review overall enabling program
Recommendation
 Cloud computing opportunity analysis
 IT environment gap assessment
 Cloud readiness assessment
 High-level Cloud roadmap
The challenge:
 Should we utilize Cloud Services? Why?
 Which workloads should I consider moving to Cloud?
 Which specific IT improvements would we need to make?
 What is my roadmap for Cloud to maximize my ROI?
What do we do:
 Determine the Cloud model most appropriate for your business
 Analyze your IT workload characteristics to determine which
should be migrated to Cloud
 Analyze your current IT capabilities in order to successfully
achieve your desired Cloud computing goals
 Produce a roadmap of IT improvements required over a 2-3 year
period to implement a Cloud computing environment
Value delivered:
 Gain information needed make a strategic decision on where and
how to implement Cloud computing in your environment.
 Identify opportunities to reduce costs
 Accelerate Cloud deployment by removing impediments
 Avoid the mistakes of implementing Cloud without a plan

Business Model opportunities are characterized relative to the
Cloud Enablement Framework
This characterization clarifies client value
expectations for Cloud implementation.
*Disruptors* create radically different value
propositions, generate new customer needs and
segments, and even new industry eco-systems.
*Innovators* significantly extend customer value
propositions resulting in new revenue streams
and transform their role within their industry or
enter a different industry ecosystem.
*Optimizers* use the Cloud to incrementally
enhance their customer value propositions while
improving their organization’s efficiency.
Organizations should determine how and to
what degree Cloud can be used to enable
their business model.
Improve Transform Create
Cloud Enablement Framework
Optimizers
Disruptors
Innovators
Enhance Extend Invent
Value Chain
Customer Value Proposition

Network and resiliency services ensure that Cloud infrastructure
integrates seamlessly with the enterprise IT architecture
Network Services
 Collection of data on the current and planned networking
and IT environments
 Analysis of the networking infrastructure, organization, and
processes
 Development of options to meet Cloud computing
requirements
 Review of recommendations with technical staff
 Creation of an actionable roadmap with recommendations
for next steps
SmartCloud Resiliency Scenarios
Self-Managed
Create virtualized, scalable
Cloud environment to backup
and recover your traditional
data center services across
several service tiers
Hybrid Cloud
Subscribe to Cloud
environment that you buy on a
pay-per-use basis with varying
rates based upon resilience
requirements for appropriate
data services
Resilience as a Service
Blend private and public Cloud
services to meet your business
demands for agility as well as
risk appetite for sensitive
applications and data

Workload Transformation Analysis (WTA)
WTA offers a quantitative method to determine Cloud fit, cost, and benefit and identifies gaps to be
addressed in the transition plan
The Challenge:
• Now that I’m ready for cloud, which workloads fit my target cloud(s)?
(For example: IBM public cloud, private cloud, hybrid)
• What is the migration impact?
• What is the real cost benefit of moving those workloads to the cloud?
Value Delivered:
• Automates manual tasks to reduce analysis time by up to 66%
• Workload point of view : analyzes both business applications and
infrastructure components, for fit for target cloud(s)
• Provides a more granular and quantitative analysis than prior
methods
• Leveraged by our own company to determine which applications IBM
will move to cloud
• Through an IBM research based algorithm and filtering, provides the
quantitative analysis needed to understand the cost/benefit of
moving to cloud
• Identifies and prioritizes workloads for possible delivery from a target
cloud and quantifies the benefit
• Provides the analytics needed for better decision making when
moving to cloud
IBM Cloud Workload Analysis Tool
Using an IBM Research developed tool, we perform a “pains-versus-gains”
analysis to prioritize your workloads according to their characteristics and
affinity for deployment from a Cloud environment.
Exchange App NM
Cal Center Users Client XYZ com
Value / Gain
Workloads most attractive to
move to Cloud for your business
Effort Pain
App JK
BW
SAP
Cloud Readiness Gap Analysis Tool
We analyze the readiness to migrate to Cloud. Output identifies gaps and an
optimized transition plan to overcome them.
 Collaboration Service
Integration Infrastructure Services
 Service Automation
 Service Executive Infrastructure
 UNIX Service
 CE-based Service
 Usage Service
 Master Data Management (MDM)
Information Integration Service
 Database and Information
Access Services
 Center Management
Gap analysis indicating the
 Information Lifestyle Management
readiness of your infrastructure
(ILM)
to move selected workloads to
 Enterprise Architecture
the cloud
 IT Governance & Management Contents
 Sub-Center Management Services
 Offering Support Services
 Security and
Compliance Management
 Service Delivery
 Service Deployment
 Service Support
 Financial Management
 IT Network Resources
 IT Storage Resources
 IT Host Resources

Examples of workload migration considerations
 Application Readiness
 Migrating legacy applications based on old technologies to a cloud-based infrastructure will not
bring the right benefits. Some of the questions to be considered are -> Is the application web-based?
Will it benefit from a multi-tenant architecture? Can it scale out? Does it really need elasticity?
 Data Ownership and Access
 The application, the hardware, the operating system and everything else can potentially be owned
by the cloud service provider. But the data is what the intellectual property is predicated upon and
one should be able take ownership of the data as he/she sees fit.
 The cloud subscription gives access to the functionality of the application or function that one can
use. If that access is removed, can one still access the data, so he/she can retain ownership?
 Data Volumes
 Cloud is great for off-site elastic computing, where extra resources can be applied in the form of
more compute power or more storage. However as the storage capability grows, migrating terabytes
of data across aWAN can be a problem.
 Integration
 Applications running in the Cloud will require integration with applications running on-premise and
other applications in the Cloud. A robust integration platform is required to be available to facilitate
this. SOA and BPM providers play a critical role in minimizing integration challenges.
 Management and Monitoring
 The application architecture should have provisions to provide good control to administrators on
various management aspects.

Examples of workload migration considerations
 Cost Analysis
 The business case for Cloud application migration is required to take the target Cloud platform into
consideration. The migration and overhead costs vary widely based on the target Cloud platform and
thus will skew the estimated cost savings. Cost analysis helps decide whether to go ahead with
moving a particular application to the Cloud or not from a TCO/ROI perspective. Cost should include
capital expenditure, operational expenditure, and overhead costs involved in migration.
 Migration options
 Defining a migration strategy involves understanding the different migration options available,
establishing business priorities, and evolving a strategy that offers a fine balance between costs and
meeting business priorities. Basically, enterprises have two core options with a cloud infrastructure -
private or public. Against these, they have the following migration paths to consider - Infrastructure
as a Service (IaaS), Software as a Service (SaaS) or Platform as a Service (PaaS). The choice is driven
by priorities such as elasticity, business model, security, migration costs, etc. It is not uncommon for
a large enterprise to leverage a hybrid approach in any of the migration options and paths.
 Transition process
 Actual process of migration, helps service providers realize the target IaaS architecture as a detailed
design, covering the network, server, SAN, tools, processes, and people required for an operational
model. It is underpinned by existing core competencies in network, compute, storage, tools, and
process improvement and expertise in delivering advanced, virtualized data centers.

Summary
 Be creative
 Think “solution” not product.
 Be a Cloud Orchestrator
 Bring together the best combination of tools and techniques.
 Envision the desired end state
 Ask yourself, “What is driving or inspiring the move to Cloud for this client?”

Useful Cloud links
• Think academy – Cloud >> https://w3.ibm.com/ibm/thinkacademy/#/home
• Cloud burst program >> http://eureka.bluehost.ibm.com/
• Cloud university >> http://university.atlanta.ibm.com/cloud/
• Cloud & Smarter infrastructure Lab services and support >>
Https://csite.tivlab.austin.ibm.com/home/index -
• To receive IBM Cloud communications including MarketWires >>
https://w3-
connections.ibm.com/communities/service/html/memberjoinsubmit?communityUuid=0e4495a0-c36f-
4dd4-9cda-f97900baadd0
• IBM winning stories – Market Wires Archives >>
https://w3-connections.ibm.com/wikis/home?lang=en-us#!/
wiki/Wdfcdd218c0e5_4d83_96e5_b62ca23e8a40/page/Archives_MarketWire
•Example of client experience for cloud (accessible via MarketWires bulletin) - link
50 © 2014 BM Corporation

Introduction to Cloud Computing

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