Apache Kafka in the Automotive Industry including Car Makers Tier 1 Suppliers Manufacturing Connected Cars Mobility Services Smart City
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Real-World Deployments of Kafka in the Automotive Industry

Apache Kafka became the central nervous system of many applications in various different areas related to the automotive industry. This blog post explores various real-world deployments across several fields including connected vehicles, smart manufacturing, and innovative mobility services. Examples include car makers such as Audi, BMW, Porsche, and Tesla, plus a few mobility services such as Uber, Lyft, and Here Technologies.
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Cyber Situational Awareness with Apache Kafka
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Kafka for Cybersecurity (Part 2 of 6) – Cyber Situational Awareness

This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM / SOAR modernization. This post is part two: Situational awareness with continuous real-time data integration and data processing at scale.
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Apache Kafka - The Backbone for Cybersecurity including SIEM and SOAR
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Kafka for Cybersecurity (Part 1 of 6) – Data in Motion as Backbone

This blog series explores use cases and architectures for Apache Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, air-gapped and zero trust environments, and SIEM / SOAR modernization. This post is part one: Data in motion as cybersecurity backbone.
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Serverless Kafka for Data in Motion as Rescue for Data at Rest in the Data Lake
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Serverless Kafka in a Cloud-native Data Lake Architecture

Apache Kafka became the de facto standard for processing data in motion. Kafka is open, flexible, and scalable. Unfortunately, the latter makes operations a challenge for many teams. Ideally, teams can use a serverless Kafka SaaS offering to focus on business logic. However, hybrid scenarios require a cloud-native platform that provides automated and elastic tooling to reduce the operations burden. This blog post explores how to leverage cloud-native and serverless Kafka offerings in a hybrid cloud architecture. We start from the perspective of data at rest with a data lake and explore its relation to data in motion with Kafka.
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