|By Elizabeth White||
|October 9, 2013 09:00 AM EDT||
Gartner, Inc. on Tuesday highlighted the top ten technologies and trends that will be strategic for most organizations in 2014. Analysts presented their findings during Gartner Symposium/ITxpo, being held here through October 10.
Gartner defines a strategic technology as one with the potential for significant impact on the enterprise in the next three years. Factors that denote significant impact include a high potential for disruption to IT or the business, the need for a major dollar investment, or the risk of being late to adopt.
A strategic technology may be an existing technology that has matured and/or become suitable for a wider range of uses. It may also be an emerging technology that offers an opportunity for strategic business advantage for early adopters or with potential for significant market disruption in the next five years. These technologies impact the organization's long-term plans, programs and initiatives.
“We have identified the top 10 technologies that companies should factor into their strategic planning processes,” said David Cearley. “This does not necessarily mean adoption and investment in all of the listed technologies, but companies should look to make deliberate decisions about them during the next two years.”
Mr. Cearley said that the Nexus of Forces, the convergence of four powerful forces: social, mobile, cloud and information, continues to drive change and create new opportunities, creating demand for advanced programmable infrastructure that can execute at web-scale.
The top ten strategic technology trends for 2014 include:
Mobile Device Diversity and Management
Through 2018, the growing variety of devices, computing styles, user contexts and interaction paradigms will make "everything everywhere" strategies unachievable. The unexpected consequence of bring your own device (BYOD) programs is a doubling or even tripling of the size of the mobile workforce. This is placing tremendous strain on IT and Finance organizations. Enterprise policies on employee-owned hardware usage need to be thoroughly reviewed and, where necessary, updated and extended. Most companies only have policies for employees accessing their networks through devices that the enterprise owns and manages. Set policies to define clear expectations around what they can and can't do. Balance flexibility with confidentiality and privacy requirements
Mobile Apps and Applications
The Internet of Everything
The Internet is expanding beyond PCs and mobile devices into enterprise assets such as field equipment, and consumer items such as cars and televisions. The problem is that most enterprises and technology vendors have yet to explore the possibilities of an expanded internet and are not operationally or organizationally ready. Imagine digitizing the most important products, services and assets. The combination of data streams and services created by digitizing everything creates four basic usage models – Manage; Monetize; Operate; Extend. These four basic models can be applied to any of the four "internets” (people, things, information and places). Enterprises should not limit themselves to thinking that only the Internet of Things (i.e., assets and machines) has the potential to leverage these four models. Enterprises from all industries (heavy, mixed, and weightless) can leverage these four models.
Hybrid Cloud and IT as Service Broker
Bringing together personal clouds and external private cloud services is an imperative. Enterprises should design private cloud services with a hybrid future in mind and make sure future integration/interoperability is possible. Hybrid cloud services can be composed in many ways, varying from relatively static to very dynamic. Managing this composition will often be the responsibility of something filling the role of cloud service broker (CSB), which handles aggregation, integration and customization of services. Enterprises that are expanding into hybrid cloud computing from private cloud services are taking on the CSB role. Terms like "overdrafting" and "cloudbursting" are often used to describe what hybrid cloud computing will make possible. However, the vast majority of hybrid cloud services will initially be much less dynamic than that. Early hybrid cloud services will likely be more static, engineered compositions (such as integration between an internal private cloud and a public cloud service for certain functionality or data). More deployment compositions will emerge as CSBs evolve (for example, private infrastructure as a service [IaaS] offerings that can leverage external service providers based on policy and utilization).
Cloud/client computing models are shifting. In the cloud/client architecture, the client is a rich application running on an Internet-connected device, and the server is a set of application services hosted in an increasingly elastically scalable cloud computing platform. The cloud is the control point and system or record and applications can span multiple client devices. The client environment may be a native application or browser-based; the increasing power of the browser is available to many client devices, mobile and desktop alike. Robust capabilities in many mobile devices, the increased demand on networks, the cost of networks and the need to manage bandwidth use creates incentives, in some cases, to minimize the cloud application computing and storage footprint, and to exploit the intelligence and storage of the client device. However, the increasingly complex demands of mobile users will drive apps to demand increasing amounts of server-side computing and storage capacity.
The Era of Personal Cloud
The personal cloud era will mark a power shift away from devices toward services. In this new world, the specifics of devices will become less important for the organization to worry about, although the devices will still be necessary. Users will use a collection of devices, with the PC remaining one of many options, but no one device will be the primary hub. Rather, the personal cloud will take on that role. Access to the cloud and the content stored or shared from the cloud will be managed and secured, rather than solely focusing on the device itself.
Software Defined Anything
Software-defined anything (SDx) is a collective term that encapsulates the growing market momentum for improved standards for infrastructure programmability and data center interoperability driven by automation inherent to cloud computing, DevOps and fast infrastructure provisioning. As a collective, SDx also incorporates various initiatives like OpenStack, OpenFlow, the Open Compute Project and Open Rack, which share similar visions. As individual SDx technology silos evolve and consortiums arise, look for emerging standards and bridging capabilities to benefit portfolios, but challenge individual technology suppliers to demonstrate their commitment to true interoperability standards within their specific domains. While openness will always be a claimed vendor objective, different interpretations of SDx definitions may be anything but open. Vendors of SDN (network), SDDC (data center), SDS (storage), and SDI (infrastructure) technologies are all trying to maintain leadership in their respective domains, while deploying SDx initiatives to aid market adjacency plays. So vendors who dominate a sector of the infrastructure may only reluctantly want to abide by standards that have the potential to lower margins and open broader competitive opportunities, even when the consumer will benefit by simplicity, cost reduction and consolidation efficiency.
Web-scale IT is a pattern of global-class computing that delivers the capabilities of large cloud service providers within an enterprise IT setting by rethinking positions across several dimensions. Large cloud services providers such as Amazon, Google, Facebook, etc., are re-inventing the way IT in which IT services can be delivered. Their capabilities go beyond scale in terms of sheer size to also include scale as it pertains to speed and agility. If enterprises want to keep pace, then they need to emulate the architectures, processes and practices of these exemplary cloud providers. Gartner calls the combination of all of these elements Web-scale IT. Web-scale IT looks to change the IT value chain in a systemic fashion. Data centers are designed with an industrial engineering perspective that looks for every opportunity to reduce cost and waste. This goes beyond re-designing facilities to be more energy efficient to also include in-house design of key hardware components such as servers, storage and networks. Web-oriented architectures allows developers to build very flexible and resilient systems that recover from failure more quickly.
Through 2020, the smart machine era will blossom with a proliferation of contextually aware, intelligent personal assistants, smart advisors (such as IBM Watson), advanced global industrial systems and public availability of early examples of autonomous vehicles. The smart machine era will be the most disruptive in the history of IT. New systems that begin to fulfill some of the earliest visions for what information technologies might accomplish — doing what we thought only people could do and machines could not —are now finally emerging. Gartner expects individuals will invest in, control and use their own smart machines to become more successful. Enterprises will similarly invest in smart machines. Consumerization versus central control tensions will not abate in the era of smart-machine-driven disruption. If anything, smart machines will strengthen the forces of consumerization after the first surge of enterprise buying commences.
Worldwide shipments of 3D printers are expected to grow 75 percent in 2014 followed by a near doubling of unit shipments in 2015. While very expensive “additive manufacturing” devices have been around for 20 years, the market for devices ranging from $50,000 to $500, and with commensurate material and build capabilities, is nascent yet growing rapidly. The consumer market hype has made organizations aware of the fact 3D printing is a real, viable and cost-effective means to reduce costs through improved designs, streamlined prototyping and short-run manufacturing.
DevOps tends to focus on the relationship between Dev and Ops, putting an emphasis on the ops and application infrastructure. But that’s changing with microservices architectures. In her session at DevOps Summit, Lori MacVittie, Evangelist for F5 Networks, will focus on how microservices are changing the underlying architectures needed to scale, secure and deliver applications based on highly distributed (micro) services and why that means an expansion into “the network” for DevOps.
Jul. 1, 2015 07:15 PM EDT Reads: 2,497
Conferences agendas. Event navigation. Specific tasks, like buying a house or getting a car loan. If you've installed an app for any of these things you've installed what's known as a "disposable mobile app" or DMA. Apps designed for a single use-case and with the expectation they'll be "thrown away" like brochures. Deleted until needed again. These apps are necessarily small, agile and highly volatile. Sometimes existing only for a short time - say to support an event like an election, the Wor...
Jul. 1, 2015 05:00 PM EDT Reads: 1,633
Containers have changed the mind of IT in DevOps. They enable developers to work with dev, test, stage and production environments identically. Containers provide the right abstraction for microservices and many cloud platforms have integrated them into deployment pipelines. DevOps and Containers together help companies to achieve their business goals faster and more effectively. In his session at DevOps Summit, Ruslan Synytsky, CEO and Co-founder of Jelastic, reviewed the current landscape of...
Jul. 1, 2015 05:00 PM EDT Reads: 2,210
The cloud has transformed how we think about software quality. Instead of preventing failures, we must focus on automatic recovery from failure. In other words, resilience trumps traditional quality measures. Continuous delivery models further squeeze traditional notions of quality. Remember the venerable project management Iron Triangle? Among time, scope, and cost, you can only fix two or quality will suffer. Only in today's DevOps world, continuous testing, integration, and deployment upend...
Jul. 1, 2015 03:00 PM EDT Reads: 1,923
Discussions about cloud computing are evolving into discussions about enterprise IT in general. As enterprises increasingly migrate toward their own unique clouds, new issues such as the use of containers and microservices emerge to keep things interesting. In this Power Panel at 16th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the state of cloud computing today, and what enterprise IT professionals need to know about how the latest topics and trends affect t...
Jul. 1, 2015 02:30 PM EDT Reads: 1,181
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at @ThingsExpo, James Kirkland, Red Hat's Chief Arch...
Jul. 1, 2015 02:21 PM EDT Reads: 569
Summer is finally here and it’s time for a DevOps summer vacation. From San Francisco to New York City, our top summer conferences list is going to continuously deliver you to the summer destinations of your dreams. These DevOps parties are hitting all the hottest summer trends with Microservices, Agile, Continuous Delivery, DevSecOps, and even Continuous Testing. Move over Kanye. These are the top 5 Summer DevOps Conferences of 2015.
Jul. 1, 2015 01:00 PM EDT Reads: 944
Sharding has become a popular means of achieving scalability in application architectures in which read/write data separation is not only possible, but desirable to achieve new heights of concurrency. The premise is that by splitting up read and write duties, it is possible to get better overall performance at the cost of a slight delay in consistency. That is, it takes a bit of time to replicate changes initiated by a "write" to the read-only master database. It's eventually consistent, and it'...
Jul. 1, 2015 12:00 PM EDT Reads: 1,704
"Plutora provides release and testing environment capabilities to the enterprise," explained Dalibor Siroky, Director and Co-founder of Plutora, in this SYS-CON.tv interview at @DevOpsSummit, held June 9-11, 2015, at the Javits Center in New York City.
Jul. 1, 2015 11:45 AM EDT Reads: 1,020
Containers are changing the security landscape for software development and deployment. As with any security solutions, security approaches that work for developers, operations personnel and security professionals is a requirement. In his session at DevOps Summit, Kevin Gilpin, CTO and Co-Founder of Conjur, will discuss various security considerations for container-based infrastructure and related DevOps workflows.
Jul. 1, 2015 10:30 AM EDT Reads: 849
Cloud Migration Management (CMM) refers to the best practices for planning and managing migration of IT systems from a legacy platform to a Cloud Provider through a combination professional services consulting and software tools. A Cloud migration project can be a relatively simple exercise, where applications are migrated ‘as is’, to gain benefits such as elastic capacity and utility pricing, but without making any changes to the application architecture, software development methods or busine...
Jul. 1, 2015 10:00 AM EDT Reads: 1,919
Data center models are changing. A variety of technical trends and business demands are forcing that change, most of them centered on the explosive growth of applications. That means, in turn, that the requirements for application delivery are changing. Certainly application delivery needs to be agile, not waterfall. It needs to deliver services in hours, not weeks or months. It needs to be more cost efficient. And more than anything else, it needs to be really, dc infra axisreally, super focus...
Jul. 1, 2015 10:00 AM EDT Reads: 1,977
The most often asked question post-DevOps introduction is: “How do I get started?” There’s plenty of information on why DevOps is valid and important, but many managers still struggle with simple basics for how to initiate a DevOps program in their business. They struggle with issues related to current organizational inertia, the lack of experience on Continuous Integration/Delivery, understanding where DevOps will affect revenue and budget, etc. In their session at DevOps Summit, JP Morgenthal...
Jul. 1, 2015 09:32 AM EDT Reads: 620
Overgrown applications have given way to modular applications, driven by the need to break larger problems into smaller problems. Similarly large monolithic development processes have been forced to be broken into smaller agile development cycles. Looking at trends in software development, microservices architectures meet the same demands. Additional benefits of microservices architectures are compartmentalization and a limited impact of service failure versus a complete software malfunction. ...
Jul. 1, 2015 09:00 AM EDT Reads: 883
Many people recognize DevOps as an enormous benefit – faster application deployment, automated toolchains, support of more granular updates, better cooperation across groups. However, less appreciated is the journey enterprise IT groups need to make to achieve this outcome. The plain fact is that established IT processes reflect a very different set of goals: stability, infrequent change, hands-on administration, and alignment with ITIL. So how does an enterprise IT organization implement change...
Jun. 29, 2015 12:45 PM EDT Reads: 2,813
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations migh...
Jun. 28, 2015 05:00 PM EDT Reads: 2,047
At DevOps Summit NY there’s been a whole lot of talk about not just DevOps, but containers, IoT, and microservices. Sessions focused not just on the cultural shift needed to grow at scale with a DevOps approach, but also made sure to include the network ”plumbing” needed to ensure success as applications decompose into the microservice architectures enabling rapid growth and support for the Internet of (Every)Things.
Jun. 28, 2015 01:00 PM EDT Reads: 1,913
Mashape is bringing real-time analytics to microservices with the release of Mashape Analytics. First built internally to analyze the performance of more than 13,000 APIs served by the mashape.com marketplace, this new tool provides developers with robust visibility into their APIs and how they function within microservices. A purpose-built, open analytics platform designed specifically for APIs and microservices architectures, Mashape Analytics also lets developers and DevOps teams understand w...
Jun. 27, 2015 11:00 AM EDT Reads: 1,947
Buzzword alert: Microservices and IoT at a DevOps conference? What could possibly go wrong? In this Power Panel at DevOps Summit, moderated by Jason Bloomberg, the leading expert on architecting agility for the enterprise and president of Intellyx, panelists peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud envir...
Jun. 26, 2015 12:00 PM EDT Reads: 2,251
Sumo Logic has announced comprehensive analytics capabilities for organizations embracing DevOps practices, microservices architectures and containers to build applications. As application architectures evolve toward microservices, containers continue to gain traction for providing the ideal environment to build, deploy and operate these applications across distributed systems. The volume and complexity of data generated by these environments make monitoring and troubleshooting an enormous chall...
Jun. 26, 2015 12:00 PM EDT Reads: 1,557