In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.

Modern networks are vast and complex, spanning the globe to make information available to everyone within an organization and have begun to encompass new areas of technology. The Internet has unlocked tremendous new capabilities and technologies, but these innovations require persistent and reliable network connectivity. Salesforce’s© Customer Relationship Management (CRM) cloud product for example is now widely used by businesses for its significantly lower cost and overhead when compared to on-premise predecessors. The cloud is driving an insatiable demand for faster, more reliable network access, and for IT organizations the pressure is on.

Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.

With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.

Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM). Read this independent research report by Forrester Research, Inc. to see why, based on an evaluation of four categories including market heat factor; adoption heat factor; implementation heat factor; and company heat factor, ASG’s solution has received the highest rating and has been designated “On Fire.”

Application management requires visibility from multiple vantage points within the IT enterprise, combined with a centralized information store that pulls the technology pieces of the application puzzle into a coherent whole. This paper delves into the complexity of managing Web applications and evaluates ASG’s ability to deliver deep, broad, and accurate insight into application performance.

The Information Technology Infrastructure Library (ITIL) provides guidance for the management of IT, and has quickly become the worldwide standard for IT Service Management (ITSM). Explore the issues surrounding the refined definition of the Configuration Management Database (CMDB) in ITIL v3, as well as the powerful Configuration Management System (CMS), in this ASG / EMA White Paper.

Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system. Protective security became the natural focus, and the level of protection was measured by evaluating defensive resiliency against live or simulated attacks. This protection has proven to be insufficient, as the escalating frequency and impact of successful exploits are proving that IT assets are not yet secure. The ever-changing landscape at the application infrastructure layer likely leaves you inadequately informed as to where and how your data might be exposed. So where can you turn next to help protect the security of your critical data assets? Since 75 – 90 percent of all Internet attacks are targeting the application layer, it is clearly about time that you listen to what your software is trying to tell you about data security.

At a projected market of over $4B by 2010 (Goldman Sachs), virtualizationhas firmly established itself as one of the most importanttrends in Information Technology. Virtualization is expectedto have a broad influence on the way IT manages infrastructure.Major areas of impact include capital expenditure and ongoingcosts, application deployment, green computing, and storage.

Ready to communicate IT cost and value in terms your business unit partners understand?

The Apptio TBM Unified Model® (ATUM®) standardizes the financial information necessary for IT leaders to manage their technology business.

Use this poster as a resource to:

• Establish better alignment between IT, Finance, and other business units by using common language around IT costs
• Confidently manage the business of IT with the backing of peer-derived best practices
• Understand 10 essential metrics you should track to communicate the business value of IT