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IoT Live Demo – 100.000 Connected Cars with Kubernetes, Kafka, MQTT, TensorFlow

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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Service Mesh Kafka Kubernetes Istio
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Service Mesh and Cloud-Native Microservices with Apache Kafka, Kubernetes and Envoy, Istio, Linkerd

This blog post takes a look at cutting edge technologies like Apache Kafka, Kubernetes, Envoy, Linkerd and Istio to implement a cloud-native service mesh for a scalable, robust and observable microservice architecture.
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Apache Kafka and PLC4X Architecture for IIoT Automation Industry
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Apache Kafka, KSQL and Apache PLC4X for IIoT Data Integration and Processing

Data integration and processing in Industrial IoT (IIoT, aka Industry 4.0 or Automation Industry). Apache Kafka, its ecosystem (Kafka Connect, KSQL) and Apache PLC4X are a great open source choice to implement this integration end to end in a scalable, reliable and flexible way.
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IoT and Supply Chain Optimization with Apache Kafka and Machine Learning
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Apache Kafka and Machine Learning for Real Time Supply Chain Optimization in IIoT

Apache Kafka and Machine Learning for Real Time Supply Chain Optimization: Integrate in real time with the legacy world and proprietary IIoT protocols (like Siemens S7, Modbus, Beckhoff ADS, OPC-UA, et al). You can process the data at scale and then ingest it into a modern database or analytic / machine  learning framework.
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Deep Learning KSQL UDF for Streaming Anomaly Detection of MQTT IoT Sensor Data

KSQL UDF for sensor analytics. Leverages the new API features of KSQL to build UDF / UDAF functions easily with Java to do continuous stream processing with Apache Kafka. Use Case: Connected Cars – Real Time Streaming Analytics using Deep Learning.
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Why I Move (Back) to Open Source for Messaging, Integration and Stream Processing

After three great years at TIBCO Software, I move back to open source and join Confluent, the company behind the open source project Apache Kafka to build mission-critical, scalable infrastructures for messaging, integration and stream processsing. In this blog post, I want to share why I see the future for middleware and big data analytics in open source technologies, why I really like Confluent, what I will focus on in the next months, and why I am so excited about this next step in my career.
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