Kafka Streams powers countless real-time systems, but what makes it tick? All About Kafka Streams in 45min unravels the essential concepts behind this powerful library in a clear and engaging overview that is accessible to everyone.

The talk explains core concepts and mechanisms, including stream tasks, co-partitioning, repartitioning, sub-topologies, threading, rebalancing, and task assignment. It delves into the lifecycle of a Kafka Streams application, the role of state stores, persistence, and changelogs, as well as mechanisms for high availability, such as standby and warmup tasks.

Attendees will also gain insight into the trade-offs between at-least-once and exactly-once processing semantics. By the end of the session, participants will have a solid understanding of how Kafka Streams orchestrates distributed stream processing, achieves fault tolerance, and operates effectively - all without delving into implementation complexities.