PLM and Cloud Computing
Business white paper
Cloud computing can deliver a wide variety of
services to your business. In addition to software
applications such as email, word processing,
and calendaring, cloud-based services can
replace network infrastructure (servers, routers,
storage) and provide application development
solutions. Cloud computing also eliminates the
provisioning and management tools necessary
to deploy and operate these services.
cloud technologies for PLM
Table of contents
PLM and Cloud Computing
Weighing the risks and rewards.................................3
What is Cloud Computing?........................................3
Cloud Services.........................................................4
Cloud Infrastructure...................................................4
Cloud Characteristics................................................5
PLM and the Cloud...................................................6
PLM and Cloud Concerns..........................................7
How HP Can Help....................................................9
Conclusion............................................................ 12
Product Lifecycle Management (PLM)
PLM is the management of product data over the entire
life of a product. It can include the first creative ideas
written on the back of a napkin, the multiple bill of
materials (BOMs) used for design, and the manufacturing,
shipment, retirement, and disposal of products. PLM
services, supported by multiple layers of hardware and
software, provide managed data to clients as required and
on demand.
Weighing the risks and rewards
What is Cloud Computing?
Many of us use cloud computing for personal and
professional purposes every day. Social networking,
media storage and sharing, and collaboration tools
are hosted in the cloud on servers connected to
the Internet.
One way to examine cloud-computing applications
is by comparing them to the traditional software
model. Traditional software applications are installed
and operated on your computer’s hard drive or your
organization’s servers. Cloud-based software and
services exist on third-party host systems and are
generally delivered and operated over the Internet
with standard technologies such as a Web browser.
Enterprise and business applications are also moving
to the cloud, becoming a source of highly scalable,
global-class services that can be easily accessed over
the Internet on an as-needed basis. Cloud computing
introduces fundamental dynamics that together enable
new kinds of services, new kinds of connections, and
new kinds of business value.
But how does cloud computing work as a solution in
Product Lifecycle Management (PLM)? PLM application
vendors have already announced or released
cloud-based services. The promise of a highly
scalable, pay-per-use PLM model and its affects on
a company’s bottom line is intriguing. And the need
for collaboration and communication in PLM-related
business processes and with partners appears to fit
the cloud paradigm. But the question remains: Is PLM
ready for the cloud, and is the cloud ready for PLM?
To answer this question, we first take a look at cloud
computing concepts. We then address the role of
PLM in the business and how it can fit within a cloudcomputing model.
Key Points
• PLM creates a continual need for speed and performance
improvements, and cloud computing can bring an entirely new
value to businesses.
• With the critical nature of PLM processes to business, decisions
related to PLM data and supporting infrastructure must be based
on a clear understanding of business requirements, ROI, and the
criticality of business processes and data.
• Cloud computing for PLM has the potential to provide rewards and
a competitive advantage.
With the traditional model, you purchase software
or services at a one-time, relatively high cost. You
may also purchase new versions as vendors release
upgrades of their products. With cloud computing,
you normally pay for software and services on an asyou-go or transactional basis based on usage.
Maintenance and support of traditional software
and services are your responsibility, whether you
do it yourself, rely on in-house IT staff, or employ
application management services. By contrast, cloudbased software and services are hosted, managed,
and backed by third-party service providers. The
applications are generally easy to set up and
administer, requiring little or no IT expertise.
Finally, traditional software and services are
closed systems limited to use by your organization.
Cloud-based software and services offer standard
applications that are available to other businesses
and organizations—even globally. While cloud-based
applications are accessible to others, your data,
information, and files are protected. (Many cloudbased applications allow you to collaborate and share
information with others, if you choose to do so.)
In addition to software applications, cloud-based
services can replace infrastructure components
(servers, routers, storage) and provide application
development solutions. We discuss the different types
of cloud services next.
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Cloud Services
As shown in Figure 1, the types of cloud services can
include everything-as-a-service (EaaS), software-asa-service (SaaS), platform-as-a-service (PaaS), and
infrastructure-as-a-service (IaaS). The broad category,
EaaS, describes the transformation of IT from a
physical, well-established environment to incorporate
a wide range of cloud services—from computing
power to business processes to personal interactions—
delivered as needed. A good analogy is electricity.
Although we all use it, we usually do not know
the source.
Cloud Service Categories
Many different types of services exist in the cloud. To help define their
purpose and function, the industry categorizes the services:
• EaaS (everything-as-a-service). Cloud services can become
the platform that transforms IT from a physical, well-established
environment into services—from computing power to business
processes to personal interactions—delivered wherever, whenever,
and however they are needed.
• SaaS (software-as-a-service). Hosted software applications in
the cloud generally run from a Web browser. Most are easy to
implement and add to existing business and IT operations.
• PaaS (platform-as-a-service). Platform services include cloudbased application programming, development, and testing
environments, which may also require integration with a business’s
existing network infrastructure and IT processes.
• IaaS (infrastructure-as-a-service). Infrastructure cloud solutions
deliver additional resources such as virtual machines, compute
power, and storage on an as needed basis.
Cloud Infrastructure
Although most of us think of cloud computing in terms
of hosted services available over the Internet, cloud
services can be hosted by your business. In addition to
hosting services on site or off site, cloud infrastructure
can be dedicated for use by only your company,
shared within a community, or available publicly.
Figure 1: Cloud service categories
The cloud delivers application functionality through
software-as-a-service (SaaS). Many businesses are
already using SaaS for email, online collaboration,
and communications capabilities such as chat
and Web conferencing. Cloud-based enterprise
and business applications include SalesForce for
CRM (Customer Relationship Management) and
Workday for ERP (Enterprise Resource Planning)
functions including payroll, financial management,
human capital management, and resource
management services.
Platform-as-a-service (PaaS) is a rich environment
in which developers can create, test, and run Web
applications. It can reduce or eliminate the need
to purchase, install, and maintain development
environments. Google App Engine and Microsoft
Azure are examples of PaaS environments.
Infrastructure-as-a-service (IaaS) is supplemental
infrastructure capacity, such as data storage or
processing power, all on-demand via the Internet.
Businesses can tap into computing power when
required and downsize as needed. An example of
IaaS is the Amazon Elastic Compute Cloud.
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The cloud is not so much a low-cost alternative
delivery model for existing enterprise applications and
services, as much as it is a new kind of technology
and delivery model that is additive—bringing new
value to the enterprise, solving problems otherwise
out of reach through traditional technologies and IT
delivery models. Types of cloud infrastructure and
deployments are shown in Figure 2 and include:
•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, delivering ITenabled services to internal users through
Internet technologies.
•Community cloud. The cloud infrastructure is
shared by several organizations and supports a
specific community that has shared workflows, such
as design and supply chain. It may be managed by
the organizations in the community 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) and traditional IT delivery
services that remain unique entities but are bound
together by standardized or proprietary technology.
An example is keeping data locally but off-loading
related computations to a public-cloud resource.
Cloud Characteristics
Private Cloud
Enterprise owned or leased
Community Cloud
Shared infrastructure for specific community
Cloud computing represents an entirely new value
to your business. It lets your organization access
highly scalable and flexible services using Internet
technologies and a usage-based business model.
Public cloud applications also eliminate the need to
install and run applications in your own data center.
This alleviates the burden of software acquisition,
maintenance, ownership, and support.
Sold to the public, mega-scale infrastructure
In contrast to traditional software, hardware, and
development environments, characteristics of cloud
computing include:
Hybrid Cloud
•On-demand self-service. You can unilaterally
provision computing capabilities, such as server time
and network storage, as needed and automatically.
Public Cloud
Composition of two or more clouds
Figure 2: Cloud deployment models
Because the cloud is not suited to run all
functionalities required by the business, it fits in a
larger environment that integrates the best of multiple
worlds. IT and business can leverage the cloud when
needed, and is best described by the hybrid cloud
environment.
In the hybrid cloud, IT services are provided by your
own data center, outsourced, or hosted environments
and the cloud. Table 1 illustrates this combination of
traditional and cloud-based resources, located on
and off premises.
The ultimate objective is for IT to provide the required
services allowing your business to achieve outcomes
at the lowest possible cost, by sourcing from the
most appropriate provider. Outsourced or cloud
services should be considered alongside simplifying
and reducing the cost of IT infrastructure and
application landscape.
•Ubiquitous network access. Capabilities
are available over the network and accessed
through standard mechanisms that promote use
by heterogeneous thin or thick client platforms,
including mobile phones, notebook PCs, and
desktop PCs.
•Resource pooling. Computing resources are pooled
using a homogenous infrastructure to serve all
consumers using a multi-tenant model, with different
physical and virtual resources dynamically assigned
and reassigned according to demand. Resources
include storage, processing, memory, network
bandwidth, and virtual machines.
•Rapid elasticity. Capabilities can be rapidly
and elastically provisioned, and in some cases
automatically, to quickly scale up and scale down
as needed.
•Measured service. Cloud systems automatically
control and optimize resource use by leveraging
a metering capability appropriate for the type
of service. Resource usage can be monitored,
controlled, and reported, providing transparency for
both the provider and consumer of the service.
Cloud Resources
Traditional Shared Resources
Traditional Dedicated Resources
Private business services
Resources shared across workloads
Resources dedicated to each workload
Custom Web-based PLM applications running
in an onsite data center
Traditional PLM applications storing data on
virtual servers
Traditional PLM applications storing data on
dedicated servers
On premises
Business-owned data center
Public business services
SaaS PLM applications for BOM, change
management, or collaboration
Service provider shares resources across
workloads or multiple customers
Resources dedicated to each workload, such
as managed or hosted multi-client data centers
Shared resources for hosted applications
Dedicated resources for hosted PLM
applications
Off premises
Service provider’s data center
Table 1: Hybrid cloud and service delivery model
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Enterprise
PLM System
Requirements
Whether your business is
running PLM applications
in the cloud or in your
data center, you need
PLM systems that include
the following key
capabilities:
Performance
• File caching to improve performance
• Dynamic scalability to support product launches, rapid product problem resolution, and other demand spikes
• Business application metrics
• Synthetic transactions to run in production test scenarios to assist with problem identification, resolution, and service-level agreement
(SLA) compliance
Integration
• Integration with role/identity management systems for role-based work instructions
• Integration with change control and asset management processes
• Integration with enterprise and/or social collaboration platforms
• Tight integration with tier 1, tier 2, and tier 3 support capabilities that link to the different business communities—both inside and outside the company
Security
• Systems to support coarse-, medium-, and fine-grain resolution security functions
• Workstation downloads for different classes of clients within PLM work processes, for example, design reviews and material procurement
• Data archiving via product structure as opposed to time-based file structures
Usability
• End-user utilities to remove broken links, assess bad data, or remove bad data
• Support for utilities to compare before/after migrations, allocate more space to file volumes, and rerun data base transactions
• In-process as well as out-of-process collaboration and other types of collaboration to accommodate business activities
PLM and the Cloud
With an understanding of cloud services,
infrastructure, and characteristics, we can examine
how cloud computing relates to PLM solutions. We
start by reviewing the role of PLM in business today,
and then discuss common concerns and the potential
rewards of cloud-computing technologies for PLM.
The Role of PLM in Business
The promise of PLM for businesses is realized through
lower product development costs, faster and more
efficient access to data, and shorter time to market,
resulting in increased competitiveness. There is
the continual need for speed and performance
improvements. Data must be readily available
wherever and whenever it is needed. PLM systems
must be scalable, resilient, and highly available.
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PLM systems are typically organically grown, meaning
that they often start small as pilot projects. These
small systems support a limited number of engineers
or clients, and in the beginning, have relatively
modest hardware requirements. However, the systems
grow over time. Data management and storage
requirements grow. More value is placed on the data,
and it becomes more valuable than the hardware and
systems that store and manage it. PLM data must be
protected not just from hardware failure but also from
theft. Security is a fundamental requirement.
Companies use workflows to replace manual and slow
business processes, thereby tightly integrating the PLM
systems into the business, making it indispensable.
The results are streamlined, more efficient, less
redundant business processes, shorter time to market,
increased competitiveness, and faster responses to
customer demands for new products and features.
The PLM data and the business processes become the
foundation of the competitive industry.
PLM and Cloud Concerns
PLM tools and workflows are more complex than
standard office applications. With the critical nature
of PLM processes to business, migrating to a cloud
solution requires careful consideration. Any decision
related to PLM data and supporting infrastructure
must be based on a clear understanding of business
requirements, ROI, and the criticality of business
processes and data.
Table 2 identifies common concerns for PLM in the
cloud and possible solutions.
Potential Rewards of Public Clouds for PLM
Despite the concerns, cloud computing for PLM has
the potential to provide rewards and a competitive
advantage. A number of SaaS PLM solutions exist
today, offering CAD and other PLM components
as cloud-based applications on the Web. A Web
browser might be all you and your colleagues need to
view, collaborate, and share design data, drawings,
and product information with one another.
IaaS and PaaS cloud solutions can also benefit PLM
processes. The computing power, storage needs, and
supporting infrastructure required for PLM can change
over time. Offloading infrastructure to a hosted service
or tapping into extra computing power as needed can
be more cost effective and faster than relying on inhouse services. Hosted PaaS services can help IT staff
become more productive by providing ready-made
Web application development environments for PLM
and other business processes.
•Anywhere, anytime access. Multi-location
and even global businesses run the same
applications, not different versions. You
can access them from a single, Webbased location using a variety of devices
including smartphones, PCs, netbooks,
and mobile devices.
•Less supporting infrastructure.
Networking, databases, and
supporting software may no
longer be required because
the infrastructure is handled in
the cloud.
•Professional datacenters.
Service providers hosting cloud
solutions supply redundancy,
disaster recovery, security,
and backup services, often at
a higher level than in-house
solutions.
•More focus on the
business. Dedicating
fewer resources and less
time to PLM technology
solutions gives the
business more time to
focus on designing and
developing products.
•Flexible/elastic
services. Cloudcomputing lets you
expand or contract
Potential benefits of public cloud services for
computing resources
PLM include:
as needed, paying
•Cost savings. Pay-per-use or subscriptions generally
only for what
cost less than purchasing software licenses. Public cloud
you use.
solutions also require fewer IT staff and less hardware.
•Self-service. Provisioning cloud applications is
generally as easy as subscribing to the service,
making them easy to deploy.
•Ease of adoption. For companies wanting PLM
technology without the staff or budget to support
in-house solutions, cloud solutions can lower barriers
to PLM technology adoption.
•Enhanced collaboration. Cloud computing offers
the potential to share drawings and view files with a
browser and Internet connection, regardless of operating
systems, installed applications, or other variables.
Businesses using PLM technologies can
leverage cloud solutions to share and create
designs and data, rollout collaboration
tools, tap into extra compute power
when peak workloads exceed capacity,
or take advantage of the latest disaster
recovery services. All of these services
can be used without capital investment or
long-term contracts.
Table 2: Addressing cloud concerns for PLM
Concern
Description
Potential Solution
Performance
Many PLM system components, such as CAD and simulation tools,
require robust resources. The network and Internet technologies used
to access the cloud should meet or exceed traditional PLM application
performance levels.
Cloud applications can use the computing power of a massive hosted
infrastructure to perform application tasks simultaneously and more
efficiently. Identify potential network bottlenecks caused by the amount
of data moving into the cloud, and select applications that have
the architecture and data transfer characteristics to work in a cloud
environment.
Data protection and availability
Your critical product data must be protected from unauthorized users and
available when you need it. You cannot afford to take any risks that may
make your PLM system go off-line or be unusable for a period of time.
Service providers should have the resources to supply redundancy and
backup services for their data centers, along with the expertise and
dedicated staff to manage them. Determine how an outage would affect the
provider’s services and your business.
Governance and compliance
The cloud service provider’s policies and processes must meet your
regulatory obligations and quality standards.
Conduct security assessments to determine whether your application or
data is ready for the cloud. The best service providers will determine which
compliance regulations you’re subject to and help you meet them.
Identity management and access
control
Your own data authorization policies may be exceptionally strict. But your
service provider’s policies may be beyond your control.
Service providers and standards organizations, such as the Computing
Software Alliance, have developed best practices for cloud security, identity
management, and access control.
Integration
PLM applications need to interoperate with other business applications to
accommodate workflows and business requirements.
Cloud services are designed to be open and flexible. Hosted applications
should include customization capabilities so they can combine with other
business services and applications.
Potential Rewards of Private Clouds for PLM
An internal private cloud is owned by the company
and operates behind the company firewall. The goal
is to create dynamically available resources based
on a highly virtualized, tightly integrated, converged
infrastructure.
For PLM applications, an internal cloud offers your
business more control over security and compliance
policies. Table 3 compares characteristics of private
and public clouds.
To support private clouds, PLM applications must be
ready to run on operating systems that are scalable,
and they must be tested and certified to operate on
virtual machines. Data centers can be upgraded,
consolidated, and implemented with technologies to
provide a centralized service and a pay-per-use model
to other business units within the corporate domain.
Even though private cloud services are highly
leveraged and based on easy access per user,
businesses must assess capacity requirements and
performance characteristics. Issues of security and
EaaS: The future of cloud computing
With everything-as-a-service (EaaS), a wide range of cloud services—
from business to entertainment to community—will be personalized
and context aware to create richer experiences. This is a fundamental
transformation in a world where everything becomes digital, mobile,
networked, virtual, and personal. HP is investing today to help lead
this industry shift.
“Through the cloud, we can foster the information economy, address
issues like the information explosion, globalization, and environmental
sustainability, and drive growth deep into the 21st century.”
—Shane Robison,
Executive Vice President & Chief Strategy and Technology Officer,
HP
Characteristic
Private Cloud
Public Cloud
Highly scalable
Yes
Yes
Fast service rollout
Yes
Yes
Security
Behind company firewall
Must rely on vendor security
Architecture
Single tenant
Multi-tenant
Capital expense
Yes; company must buy hardware
No; vendor owns hardware
Operating expense
Infrastructure operating costs
Pay-per-use billing
Table 3: Comparing an internal private cloud and public clouds
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privacy and the assurance that corporate intellectual
capital will not be compromised also require careful
guidance and evaluation. Depending on the internal
structure and the intent of the private cloud, you
may need to properly aggregate services and bill
them to divisions or departments. You also need to
define controls and governance, along with approval
processes with workflow to initiate support policies.
How HP Can Help
Unlocking the benefits of the cloud while mitigating
potential risks is a daunting challenge. As you
consider the opportunities and issues presented by
the cloud, you can look to HP for assistance. With our
combination of deep expertise in PLM solutions and
cloud-computing experience, HP is uniquely positioned
to help you evaluate whether cloud solutions are right
for your organization. We can also help identify the
types of cloud services and infrastructure that fit your
product development and PLM practices.
HP Point of View: Cloud Computing in Manufacturing
Large companies will not move everything to the cloud but rather use
the cloud as an extension to their current IT environments, enabling
a more efficient use of their data centers. Key areas of interest
for the cloud in manufacturing are ecosystem backbones, crossenterprise collaboration, MES/ERP integration, and high-performance
computing.
—Christian Verstraete,
CTO, HP Manufacturing and Distributions Industries Worldwide
Cloud Computing in Manufacturing, June 2009
PLM Technology Expertise
Broad Cloud Computing Experience
HP has years of experience working with PLM
solutions and technology. We partner with a variety
of PLM vendors and understand the needs of the
product development process and lifecycle. No one is
better equipped to help your company evaluate PLM
technology and processes than HP.
HP has been involved with the cloud even before
it was formally defined throughout the industry.
We’ve developed deep shared services and service
management expertise, and we understand the
service-centric model at every phase—strategy,
design, transition, and operations.
HP can help you streamline product development,
improve product lifecycle management systems and
processes, and enable your virtual engineering teams
to collaborate in real time. By offering a full range
of product lifecycle management capabilities—from
consulting to business process improvements to
managing complex IT engineering applications—we
can help cover your product development needs from
end to end.
Rather than focus on pieces of cloud computing,
we provide a comprehensive framework for you to
work toward a cloud future that addresses people,
process, and technology. And through HP Converged
Infrastructure architecture and technologies, we
enable tight integration and synergy among previously
siloed servers, storage, networks, and management
software—making the cloud infrastructure real.
Not only will we help you develop a strong plan but
we’ll implement and modernize your applications,
integrate your systems, and fine-tune your product
development environment. With HP’s proven solutions,
program management expertise, skilled resources,
and manufacturing experience, we can equip
you to capture market opportunities and achieve
measurable results.
Whether you are considering in-house service
modernization, conventional outsourced services, or
a cloud-based service model, our professionals can
help. We can design a strategy that helps clarify your
goals, determines the business’s needs, and identifies
and implements the most effective service delivery
model to meet your needs.
Cloud Management and Infrastructure Services
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HP understands the entire cloud picture—from the
back-end infrastructure that enables cloud-based
services, to the enabling technologies that allow
technology organizations to build, manage, and
deliver quality services.
HP Cloud Assure
HP Cloud Assure is a SaaS offering from HP that
helps your organization take advantage of the speed,
flexibility, scalability, and cost effectiveness of cloud
services. This solution leverages nine years of SaaS
expertise and advanced service-level performance. It
delivers four of the attributes analysts believe are key
to reliable cloud computing—security, performance,
availability, and cost control.
Our team of experts provides you with ongoing
visibility into the availability of your cloud services.
They help diagnose and report on potential
performance and security issues before they can impact
your business. Whether you utilize cloud services
for infrastructure (IaaS), platforms (PaaS) or software
(SaaS), this solution helps you validate and assess:
•Security by scanning networks, operating systems
and Web applications and performing automated
penetration testing
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HP Cloud Workshop
We believe that most enterprises are likely to have a
hybrid sourcing model in the long term and that the
mix across internal, private, and public sourcing will
evolve over time. That is why we start with a strategic
workshop covering all of the different options.
Through the workshop, we help you gain clarity on
cloud concepts, identify the cloud initiatives that can
work for your business, discuss how a converged
infrastructure can lay the foundation for the cloud, and
subsequently draw actionable next steps.
The one-day workshop provides:
•Education on the cloud and multi-sourcing service
delivery strategies
•Explanations of the possibilities, risks and business
implications of the cloud
•Recommendations for using the cloud
HP Cloud Roadmap Service
HP Cloud Roadmap Service helps you lay out your
next steps, so that you can realize the benefits, scope,
scale, and all critical success factors of the cloud:
•Identify opportunities where your business and IT
can benefit from the cloud
•Performance by testing for bandwidth, connectivity,
scalability and the quality end-user experience
•Identify the most appropriate cloud delivery and
deployment models
•Availability by testing and monitoring web-based
application business processes and identifying and
analyzing performance issues and trends
•Recommend the ideal service strategy,
governance, and program model for incorporating
cloud capabilities
•Cost optimization by allowing you to right size your
footprint by providing resource, code, and end-user
performance metrics
•Provide a practical, step-by-step roadmap for
cloud adoption
HP Cloud Design Service
The most critical limitation to the business value
potential of the cloud is poor infrastructure design—
one that does not reflect strategic intent. HP Cloud
Design Service takes a structured, proven approach
to designing and deploying scalable, cloud-based
infrastructures that smoothly evolve from your
virtualization, automation, and data center designs. In
addition, by using HP Reference Model for Cloud, our
design principles enable your cloud infrastructure to
support a hybrid sourcing model that includes private
and public cloud options.
HP Cloud Security Solutions
The dynamic nature of cloud services creates
new possibilities for a broad range of users. But
at the same time, it can lead to potential security,
compliance, and data protection issues. By being
aware of the latest cloud security threats and ways to
address them, you can implement a security strategy
that covers assessment, monitoring, and management.
With HP Cloud Security Analysis Service, you can
review the security of the infrastructure, platforms, and
applications that make up your cloud environment.
And you can address your security gaps and meet
your business needs with flexibility, using HP Secure
Advantage. The solution offers a unified, integrated
portfolio designed to help you manage risk, protect
critical infrastructure, and enable the continuity of
operations within your cloud environment.
As a member of the Cloud Security
Alliance (CSA) and part of HP’s
ongoing cloud research, HP sponsored a
research report to identify the most urgent
vulnerabilities that threaten to hinder cloud
computing and expose private data to
malicious hackers. A cross-section of industry
experts designed and executed the research.
The report describes situational awareness of
the threats, the cloud security deadly sins, and
high-level strategies to prevent them. For more
information, see:
www.cloudsecurityalliance.org/pr20100301a.html
Conclusion
To learn more, visit
For most businesses, the goals of PLM systems
and processes include incurring lower product
development costs, creating faster and more efficient
access to data, and getting products to market in less
time. Businesses using PLM technologies can leverage
cloud solutions to share and create designs and data,
rollout collaboration tools, tap into extra compute
power when peak workloads exceed capacity, or take
advantage of the latest disaster recovery services.
HP CloudStart solution:
www.hp.com/services/cloud
Although cloud computing can address opportunities
and problems that traditional IT models can’t, it is
only effective for PLM if it helps meet your business
goals. The potential benefits and cloud types should
be carefully evaluated within the context of your
PLM business processes, partners, IT resources,
performance requirements, security needs, enterprise
application interoperability, and infrastructure.
HP BladeSystem Matrix:
www.hp.com/go/matrix
HP Cloud Service Automation for Matrix:
www.hp.com/go/csa4matrix
HP general cloud page:
www.hp.com/go/cloud
HP Cloud Services:
www.hp.com/go/cloudconsulting
As your business considers the opportunities and
issues presented by the cloud, you can look to HP for
assistance. With our combination of deep expertise
in PLM solutions and cloud-computing experience, HP
is uniquely positioned to help you evaluate whether
cloud solutions are right for your organization.
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4AA3-1522ENW, Created September 2010