In my most recent post, I made four recommendations about planning for an intelligent edge application. My primary takeaway was that building real-time applications requires a different mindset than building …
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As modern enterprises plan for Robotics and other IoT tools, they are forced to rethink their platforms to ensure that data flows smoothly from devices to edge to cloud. The …
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The web and IaaS clouds only work because of REST and stateless computing. That and a couple of other infrastructure abstractions: load balancing, and a database of some sort. The …
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You’re a total cloud pro. You’ve mastered the message broker, dominated the database, triumphed over timers, and battled buffer-bloat. You’re in so deep your pets are named Kafka, Mongo, and …
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STATEFUL SERVICES, THE DISTRIBUTED ACTOR MODEL & MACHINE LEARNING I’ve been attending a few technology conferences recently, and it seems like there’s a renewed buzz around digital twins. If you’re …
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Businesses are rapidly adding new devices, tags, sensors, automation, software and compute elements to help track and optimize business performance – but are rarely able to act on the data …
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Big Data was never going to be a universal panacea. The goals of Big Data are clear, monitor and measure enterprise business and processes, analyse and act on that data …
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These are the four RFID Use Cases that use Edge Computing to significantly increase productivity, gain actionable insights from data lakes, and optimize existing processes. By processing data at the …
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