Tuesday 7 May 2019

Cloud and Virtual Data Storage Networking

The amount of data being generated, processed, and stored has reached unprecedented levels. Even during the recent economic crisis, there has been no slow down or information recession. Instead, the need to process, move, and store data has only increased. Consequently, IT organizations are looking to do more with what they have while supporting growth along with new services without compromising on cost and service delivery. Cloud and Virtual Data Storage Networking, by savvy IT industry veteran Greg Schulz, looks at converging IT resources and management technologies for facilitating efficient and effective delivery of information services, including enabling of Information Factories. Regardless of your experience level, Schulz guides you through the various technologies and techniques available for achieving efficient information services delivery. Coverage includes: Information services delivery model options and best practices Metrics for efficient E2E IT management Server, storage, I/O networking, and data center virtualization Converged and cloud storage services (IaaS, PaaS, SaaS) Data protection for virtual, cloud, and physical environments Data footprint reduction and data protection modernization High availability, business continuance, and disaster recovery This much-needed reference brings together technology themes and topics that are converging in IT and data center environments for enabling effective information services, in a practical and hype-free manner. When it comes to IT clouds and virtualization, you must look before you leap. This book will help you address the questions of when, where, with what, and how to leverage cloud, virtual, and data storage networking as part of your IT infrastructure. A video of Greg Schulz discussing his new book is featured on the CRC Press YouTube channel. A press release on the book appears on Business Wire. Visit Slideshare to view a slide presentation based on the book.

This book looks at clarifying “cloud confusion” and expanding the discussion of virtualization beyond consolidation for enabling agility, flexibility, and ease of management. For some, this will mean private clouds or traditional IT approaches leveraging some new technologies; for others, it will mean public clouds used completely or in a complementary manner. Some moving to public clouds will use technology that is still emerging, perhaps rebuilding or rip-and-replace, and others will see the move as a green-field or clean-sheet opportunity.
This book cuts across various IT data technology and resource domains to provide a single source that discusses the interdependencies that need to be supported to enable a virtualized, efficient, effective, and agile information services delivery environment. Do you need or want a cloud? Do you have to have or would you like a virtual environment? Do you feel compelled to have a converged data and storage network, or is there a particular business opportunity or challenge? What is the business case, demand, challenge, or opportunity for addressing or enabling clouds, dynamic infrastructure, and virtual technology? This book looks at these and other questions, providing answers, ideas, and insight to stimulate thinking about where, when, why, and how to deploy cloud, virtualization, and data storage networking resources on a public, private, or legacy IT basis. The book is about convergence in terms of technologies, techniques, and various best practices that pertain to cloud, virtualization, dynamic infrastructure, and traditional environments’ delivery of information services.

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