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Webinar description: Automotive organizations today are looking to stream Internet of Things (IoT) data generated 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
#ConnectedCar #IoTProtocol #MQTT #Kafka
0:00 Introduction
1:11 AGENDA
1:47 Global Automotive Company Builds Connected Car Infrastructure
7:38 HiveMQ Broker
8:22 HIVEMQ Cloud Native Infrastructure
9:04 MQTT Trade-offs
10:19 A Streaming Platform is the Underpinning of an Event-driven Architecture
11:24 Kafka Trade-offs (from lot perspective)
12:31 (De facto) Standards for Processing lot Data
21:44 Start Small, but Prepare for Scalability from Beginning
24:45 Comparison with other MQTT options
26:07 HiveMQ Kafka Advantage
28:16 Hive MQ Kafka Solution
30:51 Choose the Right Tool Stack and Infrastructure
31:56 Separation of Concerns
34:18 Different Data for Different Use Cases
36:53 Demo 100.000 Connected Cars
38:17 HiveMQ Enterprise Extension for Kafka
38:52 The HiveMQ Platform - Open Source and Enterprise-grade
40:23 Introducing Confluent Platform
42:39 Our Customers Are...
44:00 Spend your time on your applications!
44:36 Next Steps...
