My name is Kat Cosgrove, and I’m a Developer Advocate at JFrog. Before that, I was an engineer on JFrog’s IoT team. Our goal is to bring DevOps to the edge, because it shouldn’t be as difficult to update these kinds of devices as it currently is. In pursuit of this goal, we found a lot of interesting solutions that we could bring into a CI/CD pipeline for embedded Linux devices, and eventually built a rather flashy proof of concept that put several of these solutions on display.

“What would it be like to have an asset monitoring solution that can be installed within minutes and is independent of all existing IT systems, without endangering existing processes?” LineMetrics was founded in 2012 in Haag, Austria, in response to questions just like this one. LineMetrics developed a complete real-time asset monitoring solution delivered through its end-to-end Internet of Things (IoT) platform.

In part 1 we talked about the industrial applications and benefits that 5G and fast compute at the edge will bring to AI products. In part 2 we went deeper into how you can benefit from this new opportunity. In part 3 we focused on the key technical barriers that 5G and Edge compute remove for AI applications. In this part we will summarise the IoT use cases that can benefit from smart cell towers and how they will help businesses focus their efforts on their key differentiating advantage.

(This blog post is part of a 5 part series, titled “How to launch IoT devices”. It will cover the key choices and concerns when turning bright IoT ideas into a product in the market. Sign up to the webinar on how to launch IoT devices to get the full story, all in one place.) First part: Why does IoT take so long? Second part: Select the right hardware and foundations Third part: IoT devices and infrastructure

In the first part of this blog article, I introduced key concepts surrounding data ingestion for the industrial Internet of Things, the role and importance of metrics and self-services capabilities for shop floor personnel. So let's see how this looks in practice and how the knowledge of a process or control engineer can be turned into action.