Server Virtualization is the process of presenting a logical grouping or subset of computing resources so that they can be accessed in ways that give benefits over the original configuration. This new virtual view of the resources is not restricted by the implementation, geographic location or the physical configuration of underlying resources. Commonly virtualized resources include computing power and data storage.
The traditional data center model is like the old cable TV and music models, which forced you to buy and pay for all 189 channels and all ten songs, even if you only wanted a few. The evolved data center model, in contrast, is like the new TV and music models – you only buy the show or the song you want.
Now that the technology sector as a whole is becoming increasingly user friendly, transparent and hands on, it makes sense for colocation data centers to offer a higher level of insight and transparency into their clients’ individual environments.
Virtualization promises cost savings, improved productivity, and the ability to transform your business. But too often security can either detract from the performance gains that virtualization promises, or just not give you the protection you need. Getting the balance right is critical.
Proactive capacity management ensures optimal availability of four critical data center resources: rack space, power, cooling and network connectivity. All four of these must be in balance for the data center to function most efficiently in terms of operations, resources and associated costs.
To extract value from an ever-growing onslaught of data, your organization needs next-generation data management, integration, storage and processing systems that allow you to collect, manage, store and analyze data quickly, efficiently and cost-effectively. That’s the case with Dell | Cloudera® Apache™ Hadoop® solutions for big data.
Learn more about these trends and how Data Center Infrastructure Management (DCIM) software can help your staff improve productivity, improve awareness of potential issues, and enhance forecasting and decision making.
Download this Healthcare Informatics e-book for a closer look into cloud computing and some of the strategic considerations involved in moving forward to internet-based technologies as an integrated health system.
This paper examines the evolution of enterprise applications, the data centers in which these applications reside and the increasing expectations of businesses and end-users on the Quality of Service (QoS) their applications deliver.
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.