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Online Talk

Best Practices for Streaming IoT Data with MQTT and Apache Kafka®

Organizations today are looking to stream IoT data to Apache Kafka. However, connecting tens of thousands or even millions of devices over unreliable networks can create some architecture challenges.

In this session, we will identify and demo some best practices for implementing a large scale IoT system that can stream MQTT messages to Apache Kafka.

Auteurs

Kai Waehner

Sr. Technology Evangelist Confluent Platform, AI/Machine Learning

Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Cloud / Hybrid Architectures, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is a regular speaker at international conferences such as Kafka Summit, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog). Contact and references: contact@kai-waehner.de / @KaiWaehner / www.kai-waehner.de / LinkedIn (https://www.linkedin.com/in/kaiwaehner).

Dominik Obermaier

CTO

Dominik Obermaier is co-founder and CTO at HiveMQ. He is passionate about helping customers build and deploy innovative IoT solutions and connected products.

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