Red Hat Enterprise Linux Across Architectures: Everything Works Out of the Box

Since the Red Hat Enterprise Linux Server for ARM Development Preview 7.3 became available I’ve been wanting to try it out to see how the existing code for x86_64 systems works on the 64-bit ARM architecture (a.k.a. aarch64).

Going in, I was a bit apprehensive that some kind of heavy lifting would be needed to get things working on the ARM platform. My experience with cross-architecture ports with other distros (before I joined Red Hat) indicated

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Observations from ARM TechCon 2016

Two weeks ago, I attended ARM TechCon, the annual developer conference showcasing the latest offerings from ARM and its partners.  There were a lot of new products (new and improved processor cores, radios and other IP), announcements with key themes around IoT (Internet of Things), mobile, security, automotive functional safety, and embedded software development.  This was the first TechCon after ARM was acquired by Softbank for $32B this summer, so there was great interest in hearing what Masayoshi Son (Chairman & CEO of Softbank) would say in his first public appearance with ARM.  Masayoshi Son talked about

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Making IoT Deployments Work Effectively with Existing Systems

In my previous two blogs, I discussed how businesses focus on deployable IoT solutions versus PoCs (proof of concepts) and the value of bringing intelligence to the edge. This time, I would like to look at the importance of combining existing enterprise data with an IoT data stream.

Most enterprises have multiple constituencies of infrastructure, applications, employees, customers, suppliers, processes and policies that are needed to run the business. Any new systems, including those dealing with IoT, need to be architected to fit within this context. The real value of IoT lies in

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Bringing Intelligence to the Edge

In my last post, we discussed how the needs of an enterprise-grade Internet of Things (IoT) solution require a more diligent approach than what’s involved when putting together a Proof of Concept (PoC). In this post, we’ll explore how businesses can leverage their existing infrastructure to create scalable IoT deployments.

While my previous post reviewed a “list of ingredients” needed to build out an industrial-grade IoT solution, the massive scale and reach of IoT solutions for businesses requires some additional considerations, namely

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IoT in Enterprise: Scaling from Proof of Concept to Deployment

The Internet of Things (IoT) is gaining steam as businesses across various industries launch projects that instrument, gather, and analyze data to extract value from various connected devices.  While the general vision for IoT may be same – each company is pursuing its own unique approach on how to go about it. The adoption of standards and emergence of industry leaders will help the “wild west” situation we’re in but it is still unknown how long it will take to get there. How should businesses implement their IoT solutions in a way that will allow them flexibility and control no matter what the eventual IoT landscape looks like?

It is relatively easy to put together an IoT solution using

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