How will it be possible to operationally manage this? Our lives are increasingly Internet-dependent. The burgeoning Internet-of-Things (IoT) will only make us more so. What happens when these “things” fail to connect unexpectedly? How can service disruptions get quickly resolved when IoT devices are overlaid upon enterprise infrastructures, then cloud infrastructures, then mobile-enabled infrastructures and so on?

There are operational management systems in place that keep the Internet working reasonably well, but these systems are showing their age.

As the volume of connected things increases 2x, 5x, 10x and more, businesses can’t possibly sustain a corresponding increase in cost and effort to keep these things up and running, e.g., detecting when service is starting to fail, deducing how a problem with one thing affects another, diagnosing what things are causing the problems and then how to get it resolved.

IoT is the next generation of the Internet – and IoT demands a next-generation management solution.

IoT is also really about data. IoT creates unique and strategic data that businesses will depend upon to compete and win. The data must be collected accurately and without gaps.

Likewise, a next-generation management solution for IoT must be data-savvy. It must know to not arbitrarily filter out system events that may have meaning. And it must know to not “cry wolf” at the receipt of every individual alert. This must be done intelligently and automatically, i.e., using adaptive machine learning to auto-notify IT Ops, DevOps, and Dev teams of service-affecting disruptions as soon as situations start to arise. Then it must socialize workflows to bring together respective experts to collaborate and resolve problems faster.

This is exactly what drove [RetailNext to Moogsoft. ]( “”)

RetailNext is on the cutting edge in applying IoT and Big Data analytics to bricks-and-mortar retail stores. They’re delivering the advanced analytics that previously were exclusively generated during the online shopping experience.

How does RetailNext do this? With a vast array of interconnected “things” and data analytics within the physical store. And Moogsoft is helping them scale their customer support to proactively manage their fast-growing service ecosystem of IoT, legacy and cloud system components – providing actionable insights about shopper behavior to help their retail customers improve store performance.

If you’d like to learn more about strategies for managing the Internet of Things, contact Moogsoft today at Catch a glimpse of the future. Prepare for the world of IoT.