Edge computing is a hot topic, but despite all the hype, there are still some major hurdles to overcome before it reaches its full potential. Tyler McMullen outlines the technical and economic challenges and explains how we can get past them.

Driven by the need for data analytics in Industry 4.0, edge computing is gaining momentum to bring intelligence to the devices at the networks edge. Fei Li offers insights on a microservice-based architecture that keeps analytics applications on edge devices while dynamically utilizing resources on the cloud to achieve resilience and scalability in critical industrial applications.

The Internet of Things (IoT) devices are generating a large amount of data, and many companies are utilizing them. The data, that generated by IoT devices such as sensor, often must be analyzed very r …

Using statistics about internet traffic patterns and growth from the past decade as a backdrop, Corey Scobie shares insights as to how and why edge computing clouds are so critical to the success of builders of scalable apps.

Edge computing have become increasingly important due to the demands of latency sensitive applications and explosion of data from end user devices in cases such as Internet of Things (IoT). One common …