Best practices for streaming connected car data with MQTT & Kafka
Automotive organisations today are looking to stream Internet of Things (IoT) data generate from connected cars to Apache Kafka. However, connecting thousands or even millions of cars over unreliable networks can create architectural challenges.
In this session, Florian Raschbichler, Head of Support at HiveMQ, identifies and demonstrates the best practices for implementing a large-scale connected car platform that can stream MQTT messages to Kafka.
Key topics and takeaways:
- Why MQTT is the de-facto communications protocol for a scalable & reliable connected car platform
- Why Kafka is the most used data streaming and processing protocol in the enterprise backend
- How MQTT and Kafka work perfectly together to establish reliable IoT data streaming and processing