Internet of Things (IoT), hybrid cloud services, mobile-first, and DevOps are increasing the demands and complexity of the overall development process.
Key factors to improving both development speed and security despite these new challenges include new levels of collaboration and communication across formerly disparate teams — from those who design, to coders, to testers, and on to continuous monitoring throughout operations. The result is security being integrated into software design, even as the pressure builds to bring more apps to market faster.

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Wow, if you ever wanted to learn about Rugged DevOps (some call it DevSecOps), sit down for a spell with Shannon Lietz, Ian Allison and Scott Kennedy from Intuit. We discussed a number of important topics including internal war games, culture hacking, gamification of Rugged DevOps and starting as a small team. There are 100 gold nuggets in this conversation for novices and experts alike.

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While some of you may have already looked into Continuous Performance Validation, we’d like to take this opportunity to discuss the concept in more detail and explain why it works for organizations using process and practices like agile, DevOps, continuous integration, continuous development, and automated testing.

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In 2006, Martin Fowler posted his now famous essay on Continuous Integration. Looking back, what seemed revolutionary, radical or just plain crazy is now common, pedestrian and «just what you do.» I love it.
Back then, building and releasing software was a real pain. Integration was something you did at the end, after code complete, and we didn’t know how long it would take. Some people may recall how we, as an industry, spent a massive amount of time integrating code from one team with another, or even just between developers that sat next to each other. The arguments against it at the time seemed valid and impactful. Now they seem weak and silly.
Fowler proposed Continuous Integration, an idea that was simple, elegant and had far-reaching repercussions. By producing constant, automated, self-testing builds in development, a huge amount of resource overhead typically incurred down the line was eliminated.

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We’ve worked with dozens of early adopters across numerous industries and will debunk common misperceptions, which starts with understanding that many of the connected products we’ll use over the next 5 years are already products, they’re just not yet connected. With an IoT product, time-in-market provides much more essential feedback than ever before. Innovation comes from what you do with the data that the connected product provides in order to enhance the customer experience and optimize business performance.
In his session at @ThingsExpo, Ryan J. Lester, Director of IoT Strategy at LogMeIn, will cite from our customer examples in home automation – lighting, pet care, plumbing – as well as industrial printing.

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It is a sad but very real truth that many, dare I say most, IT professionals consider alerts to be the bane of their existence. After all, they’re annoying, noisy, mostly useless and frequently false. Thus, we IT professionals who specialize in IT monitoring are likely well acquainted with that familiar sinking feeling brought on by the discovery that the alert you so painstakingly crafted is being ignored by the team who receives it.

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In his session at @ThingsExpo, Chris Klein, CEO and Co-founder of Rachio, will discuss next generation communities that are using IoT to create more sustainable, intelligent communities.
One example is Sterling Ranch, a 10,000 home development that – with the help of Siemens – will integrate IoT technology into the community to provide residents with energy and water savings as well as intelligent security. Everything from stop lights to sprinkler systems to building infrastructures will run efficiently and sustainably.

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As the rapid adoption of containers continues, companies are finding that they lack the operational tools to understand the behavior of applications deployed in these containers, and how to identify issues in their application infrastructure.
For example, how are multiple containers within an application impacting each other’s performance? If an application’s service is degraded, which container is to blame? In the case of an application outage, what was the root cause of the outage?

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You can use Intel XDK together with Intel Collaboration Suite for Web RTC to build the real time communication apps. With Intel Collaboration Suite for Web RTC (Intel CS for WebRTC )it is possible to build apps for real time communication over the web. You need to use the Intel CS for WebRTC SDK built on top of W3C standard for WebRTC. You can create apps for broadcast, peer-to-peer and apps for conference. To cater to the major OSs and HTML, the SDK is available in four versions one each for

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You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data.
In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead at PHEMI, will discuss how data science is changing our ideas of what’s possible with data, using examples and case studies drawn from finance, precision medicine, and genomics.

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