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IoT Live Demo: 100.000 Connected Cars With Kubernetes, Kafka, MQTT, TensorFlow

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IoT Live Demo: 100.000 Connected Cars With Kubernetes, Kafka, MQTT, TensorFlow

Check out this live IoT demo to learn more about connected cars.

· IoT Zone ·
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IoT live demo of driverless car

Do you want to see an Internet of Things (IoT) example on a large scale? Not just 100 or 1000 devices producing data, but a really scalable demo with millions of messages from tens of thousands of devices? If so, this is the right demo for you — we leveraging Kubernetes, Apache Kafka, MQTT, and TensorFlow.

You may also like: Apache Kafka and MQTT: End-to-End IoT Integration

The demo shows how you can integrate with tens or hundreds of thousands of IoT devices and process the data in real-time. The demo use case is predictive maintenance (i.e. anomaly detection) in a connected car infrastructure to predict motor engine failures:

Image titleIoT Infrastructure: MQTT and Kafka on Kubernetes

We deploy Kubernetes, Kafka, MQTT, and TensorFlow in a scalable, cloud-native infrastructure to integrate and analyze sensor data from 100000 cars in real-time. 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 are 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:

Image title

GitHub Project: 100000 Connected Cars

The project is available on GitHub. You can set the demo up in ~30 min by just installing a few CLI tools and executing two or three shell scripts.

Check out the Github project: "Streaming Machine Learning at Scale from 100000 IoT Devices with HiveMQ, Apache Kafka and TensorFlow."

Please try out the demo. Feedback and PRs are welcome.

20 min Live Demo: IoT at Scale on GCP With GKE, Confluent, HiveMQ, and TensorFlow IO

Here is the video recording of the live demo:


If your area of interest is Industrial IoT (IIoT), you might also check out the following example. It covers the integration of machines and PLCs like Siemens S7, Modbus or Beckhoff in factories and shop floors:

Apache Kafka, KSQL and Apache PLC4X for IIoT Data Integration and Processing

Happy learning!

Further Reading

TensorFlow + MQTT + Apache Kafka

Apache Kafka and MQTT: End-to-End IoT Integration

Topics:
kafka ,mqtt ,tensorflow ,kubernetes ,terraform ,cloud-native ,cloud-agnostic ,machine learning ,predicative analytics ,iot

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