Replacing OT Middleware with Data Streaming using Kafka and Flink for Cloud-Native Industrial IoT with MQTT and OPC-UA
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Modernizing OT Middleware: The Shift to Open Industrial IoT Architectures with Data Streaming

Legacy OT middleware is struggling to keep up with real-time, scalable, and cloud-native demands. As industries shift toward event-driven architectures, companies are replacing vendor-locked, polling-based systems with Apache Kafka, MQTT, and OPC-UA for seamless OT-IT integration. Kafka serves as the central event backbone, MQTT enables lightweight device communication, and OPC-UA ensures secure industrial data exchange. This approach enhances real-time processing, predictive analytics, and AI-driven automation, reducing costs and unlocking scalable, future-proof architectures.
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The Trinity of Data Streaming in Industrial IoT - Apache Kafka MQTT OPC UA
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OPC UA, MQTT, and Apache Kafka – The Trinity of Data Streaming in IoT

In the IoT world, MQTT and OPC UA have established themselves as open and platform-independent standards for data exchange in Industrial IoT and Industry 4.0 use cases. Data Streaming with Apache Kafka is the data hub for integrating and processing massive volumes of data at any scale in real-time. This blog post explores the relationship between Kafka and the IoT protocols, when to use which technology, and why sometimes HTTP/REST is the better choice. The end explores real-world case studies from Audi and BMW.
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Apache Kafka and MQTT - Match Made in Heaven
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Apache Kafka and MQTT (Part 1 of 5) – Overview and Comparison

Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers various use cases across industries including connected vehicles, manufacturing, mobility services, and smart city. This is part 1: Overview + Comparison.
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