Evolving Towards a More Intelligent IoT
People often think about the Internet of Things (IoT) in terms of dumb but connected devices sending data directly to the cloud. For example, many consumers are familiar with the concepts of connected refrigerators or thermostats which do this. However, as IoT matures, devices are going to become more sophisticated and the data associated with those devices will become increasingly voluminous and valuable. And, in many cases, processing and reacting to this data immediately is going to become increasingly critical.
Consider the retail industry. If stores can’t gather data and take immediate action while shoppers are in their premises, data gathered from sensors within the store loses most of their value. But, sending so much data to the cloud and depending on a robust network and gps connection in an indoor shopping mall may not be efficient. Or, consider the healthcare sector. A hospital can’t afford to stop giving care via connected medical instruments and monitors if it loses Internet access. Waiting for the Internet to come back up in this case is not an acceptable or safe option.
To address these challenges, Red Hat has been focusing on driving backend datacenter and cloud functionality towards edge devices in an IoT deployment via a three-tier architecture of devices, intelligent gateways, and datacenters:
Intelligent gateways in close physical proximity to edge devices can provide a wide variety of functions for realtime processing that project backend datacenter functionality safely and reliably into an IoT environment. This, then, is the 4th tenet of IoT: Enterprise IoT Drives Datacenter Functionality to the Edge.
IoT at the Red Hat Summit
This week is the Red Hat Summit in Boston, and we are featuring enterprise IoT prominently there. I’ve published a post on Red Hat’s main site highlighting many of our IoT-related activities there and describing in more detail the requirements of enterprise IoT: