Teams from Red Hat and NVIDIA have collaborated on creating a scalable hybrid cloud application that could revolutionize smart city initiatives such as traffic-flow monitoring and transportation management around the world. By working together, the two companies are creating solutions that make cities smarter and more efficient by taking sensor data and processing it in real-time to provide insights for traffic congestion, pedestrian flow, and infrastructure maintenance.
Running on top of the NVIDIA EGX platform with the NVIDIA GPU Operator, the application is built with NVIDIA’s Metropolis application framework for IoT that brings together innovative capabilities for real-time image processing where NVIDIA DeepStream SDK is used to extract metadata from live video streams at the edge. It then forwards the right metadata to the cloud for deeper analytical processing and further representation in an information dashboard depicted below.
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Digital transformation is more than just a fancy buzzword. With 85 percent of Global 2000 CEOs believing in digital innovation as a driver of business success, it is estimated that nearly $2.1 trillion will be invested in digital transformation technologies in 2019.
According to Mary Johnston Turner, Director, Management Software BU Evangelism, the drivers to digital transformation are going to play a significant role in driving IT decision-making for the near-term future. Turner outlined the significant driving factors in her 2018 Summit breakout session “Transforming IT Ops: The future of IT automation & management.”
Continue reading “Transforming IT Operations: A Roadmap”
Unikernels are customized, single address space bootable images composed of an application and the required bare-minimum kernel functionality. Today’s unikernels have demonstrated substantial performance and security advantages over monolithic and microkernels, but none have yet achieved widespread adoption.
The fundamental problem is that today’s unikernels, which have been developed by forking existing operating systems or as clean-slate designs, have abandoned the evolutionary community process that has made Linux such a success. In this post we describe an alternative approach we are pursuing with the goal of making unikernels a community supported, evolving capability of Linux and and the GNU C LIbrary (glibc).
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At the first signs of Spring, all Red Hatters turn at least one eye toward Red Hat Summit. Over the years, we’ve had many conversations with attendees about what kind of information and perspectives they’d like to hear at Summit. We learned that attendees appreciated the actionable technical information they received, but that they were interested in getting some insight into Red Hat’s point of view on emerging technology trends and their thoughts on the future. That was the motivation behind a new set of sessions from the Office of the CTO that we’re very excited to announce.
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In the previous blog, my colleague David Bericat discussed why Internet of Things (IoT) architecture should be built with open source. One of the core components of end-to-end IoT architecture listed in that article was an intelligent IoT gateway that can process data near its source in near real time and filter/prioritize the actionable data. In this article, we’ll explore the reasons behind the need for an intelligent IoT gateway.
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Designing, implementing, securely operating, managing and maintaining IoT projects is complex. In fact, there are entire organizations whose sole mission is solving a specific problem within an IoT architecture. The problems that can be found within such architectures can range from connectivity to figuring out where apps live.
Continue reading “Building an Open End-to-End Internet of Things Architecture”
Computing styles ebb and flow. The centralized mainframe in the glass room largely ebbed in favor of the PC revolution that itself gave way, at least in part, to the web and the cloud. Today, we have a complex mix of massive datacenters, Internet-of-Things (IoT) devices, and sophisticated computers we can hold in the palm of our hand.
Continue reading “How Computers Became More Specialized Again”