How to remotely monitor systems with time series and DDS

The Industrial Internet of Things (IIoT) is transforming industries across the board by infusing and connecting billions of connected devices with digital intelligence. Through low-cost computing and networking, today’s systems enable far greater amounts of data, at far greater speeds, to be connected throughout distributed systems. As the amount of data increases exponentially, however, there needs to be a new way to monitor it in real time without overwhelming existing systems.

Building a monitoring architecture for IIoT requires a collective software stack for data collection, storage, analysis and visualization. In today’s connected world, however, the software components of the monitoring framework may be deployed in a distributed manner and over geographically-dispersed locations, requiring them to be seamlessly integrated over multiple networks.
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