Computing at the edge has become a major consideration for organizations looking to connect IoT end point devices. It has become very popular as of late to implement powerful edge computing capabilities to ensure that as much processing as possible can be done locally. In some cases though, having a ton of compute power at the edge can actually be overkill. The following article does an excellent job of pointing out all the things that should be considered when planning an edge computing implementation. Some of these things may be items you might never have thought of.
Increasing numbers of organizations are gathering and analysing data at the edge of their networks in their quest to improve day-to-day operations.
Whether it’s for predictive maintenance on lifts and aircraft, or analysing data collected to keep oil rigs running smoothly, companies are using using low-powered edge devices to collect huge volumes of data.
This data was typically sent to a central data centre for analysis, but as the volume of data collected at the edge has increased, so has the need to analyse and prune this data close to the point of collection.
However, deploying devices to the edge of a network can pose some unique challenges for businesses.
