While computing models may provide enabling technologies in the pursuit of efficiency, they only epitomise the need for a better and more reliable capacity management process that would help take full advantage of computing models.
Learn more about effectively managing and planning capacity for improvements in business services.
Cloud computing is an important transition and a paradigm shift in IT services delivery - one that promises large gains in efficiency and flexibility at a time when demands on data centers are growing exponentially. The tools, building blocks, solutions, and best practices for cloud computing are evolving and challenges to deploying cloud solutions need to be considered.
iPads are the must-have fad. Android is the rising mobile platform -- Everywhere you turn, the news is about personal, smart, mobile devices and their impact on business and on IT.
Broadly, there are two ways to think of Big Data technologies. The first is as an extension of what many organisations are already doing with business analytics. Gaining insight from business information is something that has been happening for decades, but the challenges and opportunities are now greater than ever before.
The majority of organisations have already implemented server virtualisation and most intend to implement additional server virtualisation during the next year. The primary factors driving the movement to deploy server virtualisation are cost savings and the ability to dynamically provision and move VMs among physical servers. There are however, a number of significant challenges associated with server virtualisation.
Increasingly businesses require the ability to analyse information quickly. Find out how to handle growing data volumes more efficiently while reducing the cost of managing your organisation's IT landscape
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Register for this on demand webcast and find out how technologies can enable cost effective and secure virtualisation from your server deployments.
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