The impact of Gartner’s top 10 strategic technologies will become integral to future generations of management architecture.
“We are already seeing the adoption of ‘big data’ within the IT and operations management [ITOM] industry. In particular, software-as-service [SaaS] management providers now have to collect and synthesize large volumes of data,” said Milind Govekar, managing vice president at Gartner.
“We also expect more next-generation analytics to come to the forefront to address an increasingly hybrid cloud environment. On the social front, IT service desk social management tools will establish an interactive relationship with end users, enhance end-user productivity, provide a platform to share information and ideas, and market the value of IT to the business,” Govekar added.
Gartner’s 10 technologies and trends include: 1. Media tablets and beyond, 2. Mobile-centric applications and interfaces, 3. Contextual and social user experience, 4. The Internet of things, 5. App stores and marketplaces, 6. Next-generation analytics, 7. Big data, 8. In-memory computing, 9. Extreme low-energy servers and 10. Cloud computing.
Media tablets and beyond
The media tablet market is seeing device churn, which makes support and management both complex and expensive. With users broadening their use of personal devices for business applications and many organizations deploying mobile device management (MDM) to support different management styles in different ways, Gartner expects these factors to drive the adoption of tools to manage the full life cycle of mobile devices. IT leaders should develop mobility policies to mitigate the risk associated with, for example, the loss of devices and also consider a managed diversity support strategy to deliver IT support that aligns with end-user choice.
Mobile-centric applications and interfaces
Managing applications and data is more important than managing devices. One application can support multiple devices that run different operating systems (OSs). However, organizations should not assume that tools andOSswork the same way in mobile environments as they do on the desktop. Gartner recommends that IT leaders establish a mobile competency center to ensure there is sufficient focus on this area. In the longer term, they will need to establish an end-user computing group with a single mission to provide a work space management service.
Contextual and social user experience
Context-aware computing uses information about an end user’s or an object’s environment, activities, connections and preferences to improve the quality of interaction with that end user or object. Gartner believes that by 2015, 40 percent of the world’s smartphone users will opt in to contextual service providers that track their activities. Defining and “surfacing” key metrics, such as performance and usage data, during application development will become paramount. IT operations will need to extend their capabilities beyond technologies such as configuration management databases to include individuals’ social interaction information for social graph capabilities.
The Internet of things
The Internet of things is a concept that describes how the Internet will expand as sensors and intelligence are added to physical items such as consumer devices and physical assets and these objects are connected to the Internet. It will likely become impossible for organizations to develop rules and discover relationships between these devices. As a result, machine and statistical learning technologies will likely be tools increasingly used by organizations using Internet-attached sensors and instruments.
App stores and marketplaces
Gartner forecasts that by the end of 2012 mobile application downloads from app stores will top 31 billion. Business users use app stores and marketplaces from both internal and external sources, which potentially make it difficult to distinguish between consumer apps and corporate apps. IT operations will need to address overlap between MDM and app store management as users will use various devices for apps that will be variously in the cloud and on the premises, fixed and mobile, built and bought, and composed and atomic.
Given the aforementioned examples of interlocked and interrelated systems, it is important to be able to construct a dependency graph so that IT operations can understand the impact of systems experiencing high error rates or suffering total failure and take remedial action. Cloud-based technology, such as cloud management platforms, has the potential to provide the rapid provisioning necessary in environments where demand is causing infrastructure overload.
The rapid growth of consumer technology and steadily falling unit costs for processors, storage and communications have resulted in a major disruption to the data that is potentially available to organizations. In big data infrastructure, file systems need a layer of abstraction over them to allow for ease of scale and rapid data processing. These technologies include file systems such as GFS, HDFS and Lustre, which increasingly form the core of these new environments. Management is needed, as so-called worker nodes in file systems like HDFS can come and go, and checks need to be made to see if the rate of node failure is too high to get the necessary work done.
In-memory computing is a style of computing in which the primary data store for applications is the central memory of the computing environment running these applications. As not all in-memory solutions support durability features, IT leaders need to assess the need for additional logging and/or snapshoting capabilities as well as non-volatile random-access memory. It is also important to conduct a design review of applications that use in-memory computing — especially database versions — to ensure the architected performance is not compromised by excessive waiting due to latches and locks.
Extreme low-energy servers
Extreme low-energy servers are systems constructed using processor types that were originally developed for extremely low-power environments. Low-energy servers can significantly reduce power (and facilities space) costs, but their increased number can pose administrative challenges in terms of scale, so IT leaders need to look to automation technology to reduce the labor overhead. IT leaders need to ensure these investments are paying off by deploying power-monitoring and data center infrastructure management technology to collect data on potential energy savings.
Cloud compute infrastructure as a service (IaaS) — on-demand compute resources coupled with associated storage and networking capabilities — is a rapidly growing and fast-evolving market. Gartner estimates that by 2015 nearly 5 percent of all virtual machines will run on external cloud IaaS. IT operations should transform itself into a trusted service broker able to work with the business to identify and procure cloud computing services — private, public and hybrid — to match various business requirements.