Brad Johnson

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 …

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 …

As organizations adopt Internet of Things (IoT) technologies in pursuit of more productive and cost-effective operations, it’s inevitable that we’ll continue seeing a shift from the cloud as a center …

It’s becoming clear that the concept of “digital twins” will shape the future of how Internet of Things (IoT) applications are built. In fact, a Garter Research survey found that …

Remember when downloading a movie took hours to complete? At the time, it seemed like a reasonable thing. Movies are big files, and dial-up or DSL speeds were only so …

Companies in a variety of industries are attempting to leverage data being generated at the edge. Whether it’s related to equipment, motion, position, the environment or other types of information, …

Enterprises and public sector organizations are drowning in real-time data from equipment, assets, suppliers, employees, customers, and city and utility data sources. The hidden insights buried within this data has the …

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 …

The amount of edge data being generated globally is growing exponentially, creating both opportunity and challenges for data-rich enterprises. While analytics technologies continue to improve, IDC Research predicts that only …

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 …