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.
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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