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Manufacturing

19 posts
Data Streaming and AI in the Automotive Industry at OEMs like Porsche Tesla BMW
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  • 2.1K views
  • 13 minute read

Driving the Future: How Real-Time Data Streaming Is Powering Automotive Innovation

The automotive industry is rapidly shifting toward a software-defined, data-driven future. Real-time technologies like Apache Kafka and Apache Flink are now critical to powering connected vehicles, smart factories, autonomous platforms, and personalized mobility services. This blog explores how leading OEMs and suppliers use data streaming to drive digital transformation – from edge processing and AI to predictive maintenance and customer experience. As the industry moves toward intelligent, adaptive systems, event-driven architecture becomes a strategic foundation.
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Shift Left Architecture at Siemens with Stream Processing using Apache Kafka and Flink
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  • 6 minute read

Shift Left Architecture at Siemens: Real-Time Innovation in Manufacturing and Logistics with Data Streaming

Industrial enterprises face increasing pressure to move faster, automate more, and adapt to constant change—without compromising reliability. Siemens Digital Industries addresses this challenge by combining real-time data streaming, modular design, and Shift Left principles to modernize manufacturing and logistics. This blog outlines how technologies like Apache Kafka, Apache Flink, and Confluent Cloud support scalable, event-driven architectures. A real-world example from Siemens’ Modular Intralogistics Platform illustrates how this approach improves data quality, system responsiveness, and operational agility.
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Replacing OT Middleware with Data Streaming using Kafka and Flink for Cloud-Native Industrial IoT with MQTT and OPC-UA
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  • 4.0K views
  • 11 minute read

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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Data Streaming with Apache Kafka and Flink in the Cloud in Healthcare and Pharma at Cardinal Health
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  • 7 minute read

Data Streaming in Healthcare and Pharma: Use Cases and Insights from Cardinal Health

This blog explores Cardinal Health’s journey, exploring how its event-driven architecture and data streaming power use cases like supply chain optimization, and medical device and equipment management. By integrating Apache Kafka with platforms like Apigee, Dell Boomi and SAP, Cardinal Health sets a benchmark for IT modernization and innovation in the healthcare and pharma sectors.
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Data Streaming with Apache Kafka for Industrial IoT in the Automotive Industry at Brose
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  • 3 minute read

Apache Kafka in Manufacturing at Automotive Supplier Brose for Industrial IoT Use Cases

Data streaming unifies OT/IT workloads by connecting information from sensors, PLCs, robotics and other manufacturing systems at the edge with business applications and the big data analytics world in the cloud. This blog post explores how the global automotive supplier Brose deploys a hybrid industrial IoT architecture using Apache Kafka in combination with Eclipse Kura, OPC-UA, MuleSoft and SAP.
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  • 5.8K views
  • 6 minute read

How Michelin improves Aftermarket Sales and Customer Service with Data Streaming

Aftermarket sales and customer service require the right information at the right time to make context-specific decisions. This post explains the modernization of supply chain business process choreography based on the real-life use case of Michelin, a tire manufacturer in France. Data Streaming with Apache Kafka enables true decoupling, domain-driven design, and data consistency across real-time and batch systems. Common business goals drove them: Increase customer retention, increase revenue, reduce costs, and improve time to market for innovation.
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The State of Data Streaming for Manufacturing in 2023
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  • 14.5K views
  • 6 minute read

The State of Data Streaming for Manufacturing

This blog post explores the state of data streaming for manufacturing. The evolution of industrial IoT, manufacturing 4.0, and digitalized B2B and customer relations require modern, open, and scalable information sharing. The foci are trending enterprise architectures in the manufacturing industry and data streaming customer stories from BMW, Mercedes, Michelin, or Siemens. A complete slide deck and on-demand video recording are included.
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Cloud Native SCADA Industrial IoT with Apache Kafka Data Streaming
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  • 10.1K views
  • 6 minute read

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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Legacy Modernization and Hybrid Multi Cloud with Apache Kafka in Healthcare
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  • 5.5K views
  • 4 minute read

Legacy Modernization and Hybrid Multi-Cloud with Kafka in Healthcare

IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores how data streaming with Apache Kafka enables real-time data processing and business process automation. This is part two: Legacy modernization and hybrid multi-cloud. Examples include Optum / UnitedHealth Group, Centene, and Bayer.
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Data Streaming with Apache Kafka in the Healthcare Industry
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  • 8.3K views
  • 4 minute read

Apache Kafka in the Healthcare Industry

IT modernization and innovative new technologies change the healthcare industry significantly. This blog series explores real-world examples of data streaming with Apache Kafka to increase efficiency, reduce cost, and improve the human experience across the healthcare value chain including pharma, insurance, providers, retail, and manufacturing. This is part one: Overview.
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