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Automotive

16 posts
Data Streaming in Automotive Industry with Apache Kafka and Flink for Connected Vehicles Cars using Shift Left Architecture Telemetry Signal Processing
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  • 1.2K views
  • 9 minute read

Shift Left in Automotive: Real-Time Intelligence from Vehicle Telemetry with Data Streaming at Rivian

Rivian and Volkswagen, through their joint venture RV Tech, process high-frequency telemetry from connected vehicles using Apache Kafka and Apache Flink. With a shift left architecture and smart filtering, they reduced data volume by 88 percent and enabled over 250 downstream consumer applications to access curated data products. This blog explores how RV Tech transforms raw vehicle data into real-time intelligence, supporting use cases across engineering, operations, and customer experience.
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Automotive Innovation with Data Streaming using Apache Kafka Flink Confluent at CARIAD Volkswagen Group VW
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  • 6 minute read

CARIAD’s Unified Data Platform: A Data Streaming Automotive Success Story Behind Volkswagen’s Software-Defined Vehicles

The automotive industry transforms rapidly. Cars are now software-defined vehicles (SDVs) that demand constant, real-time data flow. This post highlights the CARIAD success story inside the Volkswagen Group. CARIAD tackled data fragmentation. It built the Unified Data Ecosystem (UDE). Learn how Confluent’s data streaming platform, powered by Apache Kafka and Flink, serves as the central nervous system. This platform connects millions of vehicles and cloud services globally. The event-driven architecture helps CARIAD achieve faster development, meet compliance (like the EU Data Act), and reduce costs. The platform unlocks high-value use cases, such as predictive maintenance and AI-powered fleet management.
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Connected Car Vehicle API and Data Streaming with Apache Kafka and Flink in the Automotive Industry
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  • 4.3K views
  • 7 minute read

Streaming the Automotive Future: Real-Time Infrastructure for Vehicle Data

Connected vehicles are transforming the automotive industry into a software-driven, data-centric ecosystem. While APIs provide access to critical vehicle data, they fall short when it comes to real-time intelligence and scalability. This post explores how data streaming with Apache Kafka and Apache Flink turns raw API responses into reusable, governed data products that support real-time operations, analytics, and innovation. Learn how industry leaders are combining APIs and event streaming to build modern automotive platforms -where real-time data becomes a strategic asset.
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Data Streaming and AI in the Automotive Industry at OEMs like Porsche Tesla BMW
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  • 7.5K 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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Electric Vehicle (EV) Charging - Automotive and ESG with Data Streaming at Virta
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  • 9.5K views
  • 8 minute read

Virta’s Electric Vehicle (EV) Charging Platform with Real-Time Data Streaming: Scalability for Large Charging Businesses

The rise of Electric Vehicles (EVs) demands a scalable, efficient charging network—but challenges like fluctuating demand, complex billing, and real-time availability updates must be addressed. Virta, a global leader in smart EV charging, is tackling these issues with real-time data streaming. By leveraging Apache Kafka and Confluent Cloud, Virta enhances energy distribution, enables predictive maintenance, and supports dynamic pricing. This approach optimizes operations, improves user experience, and drives sustainability. Discover how real-time data streaming is shaping the future of EV charging and enabling intelligent, scalable infrastructure.
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Tesla Energy Platform - The Power of Data Streaming with Apache Kafka
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  • 7 minute read

Tesla Energy Platform – The Power of Data Streaming with Apache Kafka

Tesla’s Virtual Power Plant (VPP) turns thousands of home batteries, solar panels, and energy storage systems into a coordinated, intelligent energy network. By leveraging Apache Kafka for event streaming and WebSockets for real-time IoT connectivity, Tesla enables instant energy redistribution, dynamic grid balancing, and automated market participation. This event-driven architecture ensures millisecond-level decision-making, allowing homeowners to optimize energy usage and utilities to stabilize power grids. Tesla’s approach highlights how real-time data streaming and intelligent automation are reshaping the future of decentralized, resilient, and sustainable energy systems.
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  • 9.2K 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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Automotive and Manufacturing Landscape for Apache Kafka
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  • 8 minute read

Apache Kafka Landscape for Automotive and Manufacturing

Apache Kafka is the central nervous system of many applications in various areas related to the automotive and manufacturing industry for processing analytical and transactional data in motion across edge, hybrid, and multi-cloud deployments. This article explores the event streaming landscape for automotive including connected vehicles, smart manufacturing, supply chain optimization, aftersales, mobility services, and innovative new business models.
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When not to use Apache Kafka
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  • 18 minute read

When NOT to use Apache Kafka?

Apache Kafka is the de facto standard for event streaming to process data in motion. This blog post explores when NOT to use Apache Kafka. What use cases are not a good fit for Kafka? What limitations does Kafka have? How to qualify Kafka out as it is not the right tool for the job?
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  • 4.7K views
  • 4 minute read

Apache Kafka in the Public Sector – Blog Series about Use Cases and Architectures

The public sector includes many different areas. Some groups leverage cutting-edge technology, like military leverage. Others like the public administration are years or even decades behind. This blog series explores both edges to show how data in motion powered by Apache Kafka adds value for innovative new applications and modernizing legacy IT infrastructures. Examples include a broad spectrum of use cases across smart cities, citizen services, energy and utilities, and national security.
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