Industrial IoT Middleware OT IT Bridge between Edge and Cloud with Apache Kafka and Flink
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Industrial IoT Middleware for Edge and Cloud OT/IT Bridge powered by Apache Kafka and Flink

As industries continue to adopt digital transformation, the convergence of Operational Technology (OT) and Information Technology (IT) has become essential. The OT/IT Bridge is a key concept in industrial automation to connect real-time operational processes with business-oriented IT systems ensuring seamless data flow and coordination. By leveraging Industrial IoT middleware and data streaming technologies like Apache Kafka and Flink, businesses can achieve a unified approach to managing both production processes and higher-level business operations to drive greater efficiency, predictive maintenance, and streamlined decision-making.
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Energy Trading with Apache Kafka and Flink at Uniper ReAlto Powerledger
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Energy Trading with Apache Kafka and Flink

Energy trading and data streaming are connected because real-time data helps traders make better decisions in the fast-moving energy markets. This data includes things like price changes, supply and demand, smart IoT meters and sensors, and weather, which help traders react quickly and plan effectively. As a result, data streaming with Apache Kafka and Apache Flink makes the market clearer, speeds up information sharing, and improves forecasting and risk management. This blog post explores the use cases and architectures for scalable and reliable real-time energy trading, including real-world deployments from Uniper, re.alto and Powerledger.
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MQTT Market Trends for 2024 including Sparkplug Data Governance Kafka Cloud
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MQTT Market Trends for 2024: Cloud, Unified Namespace, Sparkplug, Kafka Integration

The lightweight and open IoT messaging protocol MQTT gets adopted more widely across industries. This blog post explores relevant market trends for MQTT: cloud deployments and fully managed services, data governance with unified namespace and Sparkplug B, MQTT vs. OPC-UA debates, and the integration with Apache Kafka for OT/IT data processing in real-time.
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Cloud Native SCADA Industrial IoT with Apache Kafka Data Streaming
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A cloud-native SCADA System for Industrial IoT built with Apache Kafka

Industrial IoT and Industry 4.0 enable digitalization and innovation. SCADA control systems are a vital component of IT/OT modernization. The SCADA evolution started with monolithic applications and moved to networked and web-based platforms. This blog post explores building the 5th generation: A cloud-native SCADA infrastructure with Apache Kafka. A real-world case study explores the journey of a German system operator for electricity to show how such a journey to open and scalable real-time workloads and edge-to-cloud integration progressed.
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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 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.
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MQTT and Kafka for Manufacturing and Industrial IoT
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Apache Kafka and MQTT (Part 3 of 5) – Manufacturing 4.0 and Industrial IoT

Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various use cases across industries, including connected vehicles, manufacturing, mobility services, and smart city are explored. The examples use different architectures, including lightweight edge scenarios, hybrid integrations, and serverless cloud solutions. This post is part three: Manufacturing, Industrial IoT, and Industry 4.0.
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Apache Kafka and MQTT (Part 2 of 5) – V2X and Connected Vehicles

Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various use cases across industries, including connected vehicles, manufacturing, mobility services, and smart city are explored. The examples use different architectures, including lightweight edge scenarios, hybrid integrations, and serverless cloud solutions. This post is part two: Connected Vehicles and V2X applications.
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Smart Grid Energy Production and Distribution with Apache Kafka
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Apache Kafka for Smart Grid, Utilities and Energy Production

The energy industry is changing from system-centric to smaller-scale and distributed smart grids and microgrids. These smart grids require a flexible, scalable, elastic, and reliable cloud-native infrastructure for real-time data integration and processing. This post explores use cases, architectures, and real-world deployments of event streaming with Apache Kafka in the energy industry to implement smart grids and real-time end-to-end integration.
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Apache Kafka Hard vs Soft Real Time for Industrial IoT Robots and Connected Vehicles
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Apache Kafka is NOT Hard Real Time BUT Used Everywhere in Automotive and Industrial IoT

Apache Kafka is NOT hard real-time in Industrial IoT or vehicles (such as autonomous cars) but integrates the OT/IT world for near real-time data correlation and analytics in hybrid architectures across factories at the edge, multiple clouds, and over countries.
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