Everyone talks about continuous integration and continuous delivery but those are just two ends of the pipeline. In the middle of DevOps is continuous testing (CT), and many organizations are struggling to implement continuous testing effectively. After all, without continuous testing there is no delivery. And Lab-As-A-Service (LaaS) enhances the CT with dynamic on-demand self-serve test topologies. CT together with LAAS make a powerful combination that perfectly serves complex software development and delivery pipelines. Software Defined Networks (SDNs) turns the network into a flexible configurable system of software components and connections that is powerful but presents new complexities and challenges for network software development, delivery and deployments.

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Explore the 10 most popular continuous testing resources of 2015, including Forrester and Gartner research, interviews, infographics, an ebook, and more.
With today’s DevOps and «Continuous Everything» initiatives, teams need the ability to assess the risks associated with a release candidate-instantly and continuously. Maybe that’s why 2015 seemed to be all about Continuous Testing, from conferences, to analyst research, to the blogosphere.

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With containerization using Docker, the orchestration of containers using Kubernetes, the self-service model for provisioning your projects and applications and the workflows we built in OpenShift is the best in class Platform as a Service that enables introducing DevOps into your organization with ease.
In his session at DevOps Summit, Veer Muchandi, PaaS evangelist with RedHat, provided a deep dive overview of OpenShift v3 and demonstrated how it helps with DevOps.

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When it comes to IoT in the enterprise, namely the commercial building and hospitality markets, a benefit not getting the attention it deserves is energy efficiency, and IoT’s direct impact on a cleaner, greener environment when installed in smart buildings. Until now clean technology was offered piecemeal and led with point solutions that require significant systems integration to orchestrate and deploy. There didn’t exist a ‘top down’ approach that can manage and monitor the way a Smart Building actually breathes – immediately flagging overheating in a closet or over cooling in unoccupied hotel rooms.

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Learn how IoT, cloud, social networks and last but not least, humans, can be integrated into a seamless integration of cooperative organisms both cybernetic and biological. This has been enabled by recent advances in IoT device capabilities, messaging frameworks, presence and collaboration services, where devices can share information and make independent and human assisted decisions based upon social status from other entities.
In his session at @ThingsExpo, Michael Heydt, founder of Seamless Thingies, discussed and demonstrateed how devices and humans can be integrated from a simple cluster of Raspberry Pi/IoT devices, up through cloud connected devices, severs, wearables and humans.

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The Internet of Things (IoT), in all its myriad manifestations, has great potential. Much of that potential comes from the evolving data management and analytic (DMA) technologies and processes that allow us to gain insight from all of the IoT data that can be generated and gathered. This potential may never be met as those data sets are tied to specific industry verticals and single markets, with no clear way to use IoT data and sensor analytics to fulfill the hype being given the IoT today.

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For it to be SOA – let alone SOA done right – we need to pin down just what «SOA done wrong» might be. First-generation SOA with Web Services and ESBs, perhaps?
But then there’s second-generation, REST-based SOA. More lightweight and cloud-friendly, but many REST-based SOA practices predate the microservices wave.
Today, microservices and containers go hand in hand – only the details of «container-oriented architecture» are largely on the drawing board – and are not likely to look much like SOA in any case.
In his session at 17th Cloud Expo, Jason Bloomberg, President of Intellyx, provided an insightful look into the nature of microservices architecture.

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With the exponential growth of network traffic slowing down data transmission, companies are looking for solutions. Recently, a solution has emerged that can help improve your data speed with data centers on the edge. These micro data center solutions can simplify the lives of many data center owners and operators because they are self-contained, secure computing environments, assembled in a factory and shipped in one enclosure which includes all the necessary power, cooling, security, and management tools. Their flexibility opens up a wave of new applications, made possible through reduced latency, increased security and cost efficiency.

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Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors.
In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determine the measures to implement to prevent future occurrences.

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WebRTC: together these advances have created a perfect storm of technologies that are disrupting and transforming classic communications models and ecosystems.
In his session at WebRTC Summit, Cary Bran, VP of Innovation and New Ventures at Plantronics and PLT Labs, provided an overview of this technological shift, including associated business and consumer communications impacts, and opportunities it may enable, complement or entirely transform.

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