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Security for Cloud Computing: 10 Steps to Ensure Success V3.0

Security for Cloud Computing: 10 Steps to Ensure Success provides a practical reference to help enterprise information technology (IT) and business decision makers analyze the security implications of cloud computing on their business.
 
The guide includes a list of ten steps designed to help decision makers evaluate and compare security and privacy offerings from different cloud providers in key areas, covering:

  • Security and privacy challenges pertinent to cloud computing and considerations that organizations should weigh when migrating data, applications, and infrastructure
  • Threats, technology risks, and safeguards for cloud computing environments and the insight needed to make informed IT decisions on their treatment
  • A Cloud Security Assessment to assess the security capabilities of cloud providers

 
Version 3.0 introduces new and updated security standards, worldwide privacy regulations, and stresses the importance of including security in continuous delivery and deployment approaches, among other things.

Security for Cloud Computing: 10 Steps to Ensure Success V3.0

Cloud Security Standards: What to Expect and What to Negotiate V2.0

Cloud Security Standards: What to Expect and What to Negotiate is a guide to security standards, frameworks, and certifications that exist for cloud computing. This guide will help you assess the security standards support of cloud service providers.
 
As customers transition their applications and data to use cloud computing, it is important that the level of security provided in the cloud environment is equal to or better than the security provided by their traditional IT environment. Cloud security standards and their support by prospective cloud service providers and within the enterprise is a critical area of focus for cloud service customers.
 
The landscape has matured with new cloud-specific security standards, like ISO/IEC 27017 and ISO/IEC 27018 for cloud computing security and privacy, being adopted.

Cloud Security Standards: What to Expect and What to Negotiate V2.0

Cloud Customer Architecture for Securing Workloads on Cloud Services

Cloud Customer Architecture for Securing Workloads on Cloud Services was written as practical reference to help IT architects and IT security professionals architect, install, and operate the information security components of solutions built using cloud services.
 
Many cloud services are now available covering infrastructure, platform and application capabilities. Building business solutions using these cloud services requires a clear understanding of the available security services, components and options, allied to a clear architecture which provides for the complete lifecycle of the solutions, covering development, deployment and operations.
 
This paper introduces best practices for architecting the security of cloud service solutions.

Cloud Customer Architecture for Securing Workloads on Cloud Services

Data Residency Challenges

As data is increasingly accessed and shared across geographic boundaries, a growing web of conflicting laws and regulations dictate where data can be transferred, stored, and shared, and how it is protected. The Object Management Group® (OMG®) and the Cloud Standards Customer Council™ (CSCC™) completed a significant effort to analyze and document the challenges posed by data residency.
 
This discussion paper defines data residency as:
 
“...the set of issues and practices related to the location of data and metadata, the movement of (meta)data across geographies and jurisdictions, and the protection of that (meta)data against unintended access and other location-related risks.”
 
This paper covers issues and risks, laws and regulations, applicable and related standards.

Data Residency Challenges

Best Practices for Developing and Growing a Cloud-Enabled Workforce

The aim of this guide is to provide a practical reference to assist enterprise Information Technology (IT) managers and business decision makers with best practices for developing and growing a “cloud-enabled” next generation IT workforce.
 
Cloud computing and related technologies like blockchain, data science, and AI are transforming the nature of IT, resulting in skill shortages in some domains and staffing surpluses in others. Demand is increasing for cloud-knowledgeable solution IT architects, operations staff, and DevSecOps teams to apply cloud services and related technologies to these challenges for increased agility and efficiency.
 
Now that cloud computing is a mainstream initiative within most enterprises and large organizations, it is an opportune time to embrace training and knowledge-sharing.
 
This paper outlines:

  • the business reasons for developing a skilled cloud-enabled workforce
  • a strategic framework for meeting today's and tomorrow's skill needs
  • best practices for cloud skills training, employee development and career growth
  • a survey of available cloud training and certification programs
Best Practices for Developing and Growing a Cloud-Enabled Workforce

Cloud Customer Architecture for Big Data and Analytics V2.0

Cloud Customer Architecture for Big Data and Analytics describes the architectural elements and cloud components needed to build out big data and analytics solutions.
 
Big data analytics and cloud computing are a top priority for CIOs. Harnessing the value and power of big data and cloud computing can give your company a competitive advantage, spark new innovations, and increase revenue. Many companies are experimenting and iterating with different cloud configurations as a way to understand and refine requirements for their big data analytics solutions without upfront capital investment.
 
This paper includes proven architecture patterns that have been deployed in successful enterprise projects and a description of capabilities offered by cloud providers.

Cloud Customer Architecture for Big Data and Analytics V2.0

Hybrid Cloud Considerations for Big Data and Analytics

Hybrid Cloud Considerations for Big Data and Analytics is a companion guide to the CSCC's Cloud Customer Architecture for Big Data and Analytics.
 
Today, the majority of big data and analytics use cases are running on hybrid cloud computing infrastructure. A hybrid cloud is a combination of on-premises and local cloud resources integrated with one or more dedicated cloud(s) and one or more public cloud(s), allowing for increased scalability and computational power for big data and analytics capabilities.
 
This whitepaper summarizes what hybrid cloud is, explains why it is important in the context of big data and analytics, and discusses implementation considerations

Hybrid Cloud Considerations for Big Data and Analytics

Cloud Customer Architecture for Blockchain

Blockchain technology has the potential to have a major impact on how institutions process transactions and conduct business.
 
Blockchain technology provides a secure transaction ledger database through a decentralized network. It has the potential to reduce operational costs and friction, create transaction records that are secure and immutable, enable transparent ledgers with nearly instant updates, and open up new opportunities for growth.
 
This whitepaper introduces basic blockchain concepts that define a standard reference architecture that can be used in creating blockchain applications.
 
Sections of the paper include:

  • Blockchain fundamentals
  • Key characteristics of a blockchain network
  • Blockchain reference architecture capabilities
  • An example supply chain scenario using the Hyperledger Fabric blockchain implementation
  • Cloud deployment considerations
  • Specific examples of blockchain applications
Cloud Customer Architecture for Blockchain

Cloud Customer Architecture for Enterprise Social Collaboration

Cloud Customer Architecture for Enterprise Social Collaboration describes how to leverage social collaboration tools to harness ideas, exchange information, and increase the speed of innovation across the business.
 
This cloud reference architecture was written for enterprise Information Technology (IT) and business decision makers to assist in understanding the technical capabilities and integration requirements necessary to deliver Enterprise Social Collaboration solutions. It is a vendor-neutral and best practices approach to describe the flows and relationships between business capabilities, functional areas, and architectural components delivered as a cloud solution.
 
This paper discusses how social collaboration solutions can be applied to different industries and aligned with key business initiatives.

 

Cloud Customer Architecture for Enterprise Social Collaboration

Impact of Cloud Computing on Healthcare V2.0

The Impact of Cloud Computing on Healthcare was written to help enterprise information technology (IT) and business decision makers of the healthcare industry as they analyze and consider the implications of cloud computing on their business.
 
This guide contains guidance and strategies to help decision makers evaluate and compare cloud computing offerings from different providers, taking into account requirements from various actors including medical practices, hospitals, research facilities, insurance companies and governments. The paper covers current market dynamics, challenges and benefits of cloud computing on healthcare IT.
 
Throughout the paper, the role that management and IT standards play to improve the flexibility, interoperability and portability of cloud computing environments is highlighted.
 
Topics covered in detail:

  • Key factors influencing cloud computing adoption in the healthcare industry, the barriers to address, and considerations for service and deployment models
  • Specific IT trends in the healthcare industry that are addressed most effectively, both technically and economically, by cloud computing as opposed to traditional IT environments
  • Cloud computing services for healthcare currently available that provide substantial benefits to healthcare organizations and patients
  • The planning process for migrating healthcare IT systems and applications to the cloud
  • Recommendations for how best to achieve the benefits of cloud computing while maintaining an acceptable level of risk

 

Impact of Cloud Computing on Healthcare V2.0

Convergence of Social, Mobile and Cloud: 7 Steps to Ensure Success

Convergence of Social, Mobile and Cloud: 7 Steps to Ensure Success is a practical reference to help enterprise information technology (IT) and business decision makers analyze and consider the implications of social, mobile and cloud technologies on their business. Organizations increasingly value how these technologies can improve customer engagement, forge new partnerships and drive competitive advantage and seek to understand the impact on new and existing business processes.
 
This guide contains guidance and strategies to help decision makers evaluate and compare offerings in key areas from different providers. Along with the base technologies of social, mobile and cloud, the guide discusses the importance of supporting technologies like integration, Big Data analytics and DevOps that enhance the business value of convergence. Industry-specific use cases are used to highlight business impact.

Convergence of Social, Mobile and Cloud: 7 Steps to Ensure Success

Convergence of Social, Mobile and Cloud: 7 Steps to Ensure Success

Convergence of Social, Mobile and Cloud: 7 Steps to Ensure Success is a practical reference to help enterprise information technology (IT) and business decision makers analyze and consider the implications of social, mobile and cloud technologies on their business. Organizations increasingly value how these technologies can improve customer engagement, forge new partnerships and drive competitive advantage and seek to understand the impact on new and existing business processes.
 
This guide contains guidance and strategies to help decision makers evaluate and compare offerings in key areas from different providers. Along with the base technologies of social, mobile and cloud, the guide discusses the importance of supporting technologies like integration, Big Data analytics and DevOps that enhance the business value of convergence. Industry-specific use cases are used to highlight business impact.

Convergence of Social, Mobile and Cloud: 7 Steps to Ensure Success