Application Data Streaming with Apache Kafka and Swim

Explore the world of application data streaming with Apache Kafka and Swim in this 39-minute podcast episode. Dive into the concept of streaming applications and how they differ from stream processing applications. Learn how to set data applications in motion by running stateful business logic on streaming data. Discover Swim's technology for managing relationships between streaming data from distributed sources and complex UIs, focusing on real-time, actionable insights. Understand the concept of web agents in the Swim ecosystem and how they communicate. Examine real-world examples of Swim's applications in telephony and transportation industries. Gain insights into future plans for Swim, including cloud functionality expansion. Access additional resources, including a Swim Cellular Network Simulator, tutorials, and guides to deepen your understanding of continuous intelligence and streaming applications.

- Intro
- Distributed actor system - real-time streaming
- Stateful microservices
- Streaming joints
- Real-time streaming data UI
- Web agents—a data entity in the Swim ecosystem
- Integration with Apache Kafka
- It's a wrap