The modern applications delivery environment is distributed and dependent on data centers and network connectivity. Therefore, users are increasingly dependent on consistent network performance for day-to-day activities. Join Gigaom Research and our sponsor cPacket for “Real-Time Pervasive Network Intelligence for a free analyst webinar on Thursday, Oct 2, 2014 at 10 a.m. PT.
This webinar will help enterprises understand the fundamentals of web-scale IT and how other companies are using web-scale principles to build private cloud-like environments. Join Gigaom Research and our sponsor Nutanix on Wednesday, October 1, 2014 at 10 a.m. PT.
Several months ago, the author was discussing BI at a conference when another attendee asked, “Can you use those two terms together—business and intelligence?” Not being one to be outdone, the author quickly answered, “You cannot have one without the other, at least if you want to be successful.” As you might imagine, that led to a long discussion of what BI is (or should be). The author continued to interject the notion that cloud computing must be at the core of BI today and that having BI that is not enabled by cloud resources is sort of like eating apple pie without vanilla ice cream: You are not getting the most out of the experience (at least, not from the author’s point of view!). BI needs the cloud to be most successful. This piece helps explains why.
Stop to think about how – and how often – your business interacts with customers. Every day, with each interaction, data is created. What percentage of the data generated by these interactions are you using? There are so many channels for interaction, like social media, call centers, sales staff, help and support resources, marketing and campaigns.
Typically, organizations believe that they are using only a small fraction of it effectively – at best, upwards of 10 percent of all the available data. Why? One reason relates to the difficulties in collecting all this data. This limitation is beginning to wane as commodity hardware becomes increasingly popular for big data storage. But another major inhibitor to examining all customer data has been the inability to examine millions, or even billions, of data points that constitute the customer picture. And much of this is now in the form of unstructured text inputs.
Cloud(n) is an IaaS cloud computing solution that allows better management and more space for your business. Verio’s cloud solution allows SMBs to contain their entire business infrastructure in the cloud. This product makes consolidating much easier, and it can all be done without the hassle of transferring information from one server to another.
Cooling tends to take a back seat to other concerns when server rooms and small to mid-size data centers are first built. As computing needs grow, increased heat production can compromise equipment performance and cause shutdowns. Haphazard data center expansion creates cooling inefficiencies that magnify these heat-related problems. Users may assume that they need to increase cooling capacity, but this is expensive and often unnecessary. In most cases, low-cost rack cooling best practices will solve heat-related problems. Best practices optimize airflow, increase efficiency, prevent downtime and reduce costs.
Centralizing and bringing compute to all your data enables new information-driven business competencies that were previously too expensive or complex for most enterprises. A data hub delivers advanced capabilities—synchronous customer models based on social networks and offline behaviors, truly real-time analysis of streaming data-in-motion, proactive security against fraud and cyber-attacks—without the custom, locked-in systems that take time to implement and don’t scale as your business grows.
This whitepaper explores the reasons behind changing traditional desktop computing strategies, why cloud-hosted virtual desktops are a compelling solution for many businesses and how to leverage cliud-hosted desktops for windows 7 migrations, mobile and departmental workers, and disaster recovery scenarios.
This white paper will deliver data that provides valuable information based on real compute scenarios to assist buyers of cloud services in understanding how their workloads might perform and what costs are associated with those environments across multiple cloud computing platforms BEFORE they invest in the selection of a cloud computing provider.
One thing is clear: the old way of running IT just won’t work in the new business environment.Truth is, preparing your IT department (and your company) to be agile, cost-efficient, metrics-driven, and flexible will require a change in how you operate. To support new business processes, you would do well to turn to a converged system, like HP ConvergedSystem for Virtualization.
In this paper, we look at the greatest challenges faced by IT departments, and how traditional configurations, processes, and organizations are poorly-equipped to handle today’s workplace. We discuss the benefits of converged systems that are engineered to handle virtualized workloads. Finally, we look at HP ConvergedSystem for Virtualization as a simple and effective way for businesses to optimize their data center infrastructure
and processes to better meet business needs.
Many people believe that cloud computing requires server (or desktop) virtualization. But does it? We will look at using virtualization without cloud computing, cloud computing without virtualization, and then look at using both together. In each case, we'll look at where each deployment might be most useful, some use cases for it, and some limitations.