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Learn more about the benefits of Digital Twin tech in IIoT and it’s relation to Apache Kafka!

This blog post discusses the benefits of a Digital Twin in Industrial IoT (IIoT) and its relation to Apache Kafka. Kafka is often used as a central event streaming platform to build a scalable and reliable digital twin for real-time streaming sensor data.

In November 2019, I attended the SPS Conference in Nuremberg. This is one of the most important events about Industrial IoT (IIoT). Vendors and attendees from all over the world fly in to make business and discuss new products. Hotel prices in this region go up from usually 80-100€ to over 300€ per night. Germany is still known for its excellent engineering and manufacturing industry. German companies drive a lot of innovation and standardization around the Internet of Things (IoT) and Industry 4.0.

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Throughout our ten years of working with equipment manufacturers to connect, collect, and integrate operational data with enterprise systems, we’ve seen many trends impacting industrial IoT project success. The world has finally moved beyond most of the technological limitations for building innovative solutions. All the necessary tools exist to create connected product systems that perform as expected. They work. Now there’s a new trend, and it’s not a good one. We’re seeing business teams at equipment manufacturers telling engineering managers and IT leaders to evaluate and choose an IoT platform for the company. Run an online demo. Read API documentation. Build a proof of concept. Compare prices. Most of these projects never see the commercial light of day. They get stuck. Why? They get stuck because this approach to digital transformation is completely backward.

Evaluating the IoT Platform Problem

We’ve said technology isn’t the problem. Here’s the reality. The right technology for your system is available today. When used correctly by experienced teams, it will produce your desired outcomes. This is a well-charted territory. You can have remote monitoring with predictive maintenance and integrate machine data with your business workflows. These are solved challenges.

Source de l’article sur DZONE

This article is part of the Key Research Findings from the 2018 DZone Guide to IoT: Harnessing Device Data.

Introduction

For this year’s DZone Guide to IoT, we surveyed 522 software professionals on various aspect of the Internet of Things. From this data, we’ve created an article around the potentially waning popularity of IoT development. 

Source de l’article sur DZONE