IoT Live Demo – 100.000 Connected Cars with Kubernetes, Kafka, MQTT, TensorFlow
Kai Waehner
Live Demo – 100.000 Connected Cars – Real Time Processing and Analytics with Kubernetes, Kafka, MQTT and TensorFlow leveraging Confluent and HiveMQ.
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Messaging
9 posts
IoT Integration with Kafka Connect, REST / HTTP, MQTT, OPC-UA – Lightboard Video
I just want to share my lightboard video recording. I talk about IoT integration and processing with Apache…
Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video
This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues (MQ), Extract-Transform-Load (ETL) and Enterprise Service Bus (ESB).
Apache Kafka + MQTT = End-to-End IoT Integration (Code, Slides, Video)
MQTT and Apache Kafka are a perfect combination for end-to-end IoT integration from edge to data center. This post discusses two different approaches and refers to implementations on Github using Apache Kafka, Kafka Connect, Confluent MQTT Proxy and Mosquitto.
Apache Kafka vs. ESB / ETL / MQ
Read why enterprises leverage the open source ecosystem of Apache Kafka for successful integration of different legacy and modern applications instead of ESB, ETL or MQ.
Apache Kafka + KSQL Live Demo (Video Recording) using CSV, JSON, Apache Avro
Apache Kafka + KSQL Live Demo using CSV, JSON, Apache Avro. 10min live demo to get introduced to KSQL – the streaming SQL engine for Apache Kafka. Write and deploy SQL queries for stream processing instead of source code.
Rethinking Stream Processing with Apache Kafka, Kafka Streams and KSQL
I presented at JavaLand 2018 in Brühl recently. A great developer conference with over 1800 attendees. The location…
Video Recording – Apache Kafka as Event-Driven Open Source Streaming Platform (Voxxed Zurich 2018)
I spoke at Voxxed Zurich 2018 about Apache Kafka as Event-Driven Open Source Streaming Platform. The talk includes…
Apache Kafka Streams + Machine Learning (Spark, TensorFlow, H2O.ai)
Apache Kafka Streams to build Real Time Streaming Microservices. Apply Machine Learning / Deep Learning using Spark, TensorFlow, H2O.ai, etc. to add AI. Embed Kafka Streams into Java App, Docker, Kubernetes, Mesos, anything else.
