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Apache Kafka for Industrial IoT and Manufacturing 4.0

This post explores use cases and architectures for processing data in motion with Apache Kafka in Industrial IoT (IIoT) across verticals such as automotive, energy, steel manufacturing, oil&gas, cybersecurity, shipping, logistics. Use cases include predictive maintenance, quality assurance, track and track, real-time locating system (RTLS), asset tracking, customer 360, and more. Examples include BMW, Bosch, Baader, Intel, Porsche, and Devon.

Why Kafka Is a Key Piece of the Evolution for Industrial IoT and Manufacturing

Industrial IoT was a mess of monolithic and proprietary technologies in the last decades. Modbus, Siemens S7, SCADA, and similar "concepts" controlled the industry. Vendors locked in enterprises by intentionally building incompatible products without open interfaces. These systems still run on Windows XP or similar non-supported outdated operating systems and without security in mind.

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Smart Factory with Apache Kafka and 5G Campus Networks

The Fourth Industrial Revolution (also known as Industry 4.0) is the ongoing automation of traditional manufacturing and industrial practices using modern smart technology. Event Streaming with Apache Kafka plays a key role in processing massive volumes of data in real-time in a reliable, scalable, and flexible way of integrating with various legacy and modern data sources and sinks. This blog post explores Apache Kafka's relationship to modern telco infrastructures that leverage private 5G campus networks for Industrial IoT (IIoT) and edge computing.

Event Streaming with Kafka at the Disconnected Edge

Apache Kafka is the new black at the edge.

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Recent Trends in Smart Factory

All modern solutions in the field of Smart Factory are, in fact, the same we could see a year or two ago; there aren't any radical breakthroughs that have happened in this area. Companies use the same technologies, but they are learning to do it more efficiently.

For several years, IoT has been seen as a promising technology for manufacturing. However, the adoption of this technology is rather slow. Those few companies that were the first to invest in this area are now leaders in digital manufacturing transformation and have an advantage over the rest of the companies.