Ep 07: Kafka for Industrial IoT Streaming - Kai Waehner ( Field CTO & Global Technology Advisor, Confluent )

Developed at LinkedIn in 2010, Apache Kafka - a stream processing engine, now powers web-scale Internet companies such as Netflix, Uber, Twitter, Airbnb, and more. Profoundly impacting real-time user experience. Of equal impact, is its application in creating a continuous streaming pipeline of manufacturing data, from the factory-floor to data centers. Fundamentally changing the structural organisation of manufacturing systems. To gain an understanding of Kafka in IIoT, I had a conversation with Kai Waehner. Kai is Field CTO and Global Technology Advisor at Confluent, a company that was founded by Kafka creators and is behind the open-source project. Here are the contents of our discussion ✔️ Stream processing in Manufacturing ✔️ Apache Kafka and Its Role in IIoT ✔️ Kafka vs MQTT ✔️ Architecture Patterns for Kafka Deployments ✔️ Connectivity to Industrial Control Systems ✔️ Data Ingestion to enterprise Applications ✔️ Examples of Real-Time Streaming Analytics ✔️ Using Kafka as a Data Historian ✔️ Re-Engineering ERP Suites with Kafka ✔️ Using Kafka to Drive Machine Learning ✔️ Hybrid Kafka Deployments ✔️ Kafka as a Platform for the Digital Twin ✔️ Kafka's Role in Augmented Reality ✔️ Kafka Use Cases in Manufacturing ✔️ Confluent