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 …

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 …

Application developers frequently choose REST in the name of simplicity, but for real-time apps, REST introduces unnecessary complexity and performance bottlenecks. REST based APIs, stateless computing and database-centric applications are the …

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 …

How "smart" are today's Smart Cities, really? The buzz around Smart Cities has been going on for over a decade and the headlines keep coming. But how many “smart” cities …

I’ve read (and written) a lot about edge computing over the past year, and it seems like the edge story is continually pitched as being in competition with cloud technologies …

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 …

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 …

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 …

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 …