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