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