Live Demo - 100.000 Connected Cars - Real Time Processing and Analytics with Kafka, MQTT and TensorFlow.

We deploy Kubernetes, Kafka, MQTT and TensorFlow in a scalable, cloud-native infrastructure to integrate and analyse sensor data from 100000 cars.

The infrastructure is built with Terraform. We use GCP, but you could do the same on AWS, Azure, Alibaba or on premises.

Data processing and analytics is done in real time at scale with GCP GKE, HiveMQ, Confluent and TensorFlow I/O for streaming machine learning / deep learning and bi-directional communication in a scalable, elastic and reliable infrastructure.

Check out the Github project and try out the demo. Feedback and PRs welcome.

Slides: https://www.slideshare.net/KaiWaehner...

Github Project (Real time analytics with 100.000 connected cars, Kafka and TensorFlow I/O):
https://github.com/kaiwaehner/hivemq-...

More content about Apache Kafka and Machine Learning:
http://www.kai-waehner.de