This talk will give you a quick overview of Kafka, the event streaming platform. You will see its internal architecture, including how it partitions messaging workloads in a fault-tolerant way and how it provides message durability. You’ll learn about Kafka’s approach to pub/sub messaging and how Kotlin developers can leverage a framework for handling streamed data.

Speakers:
Viktor Gamov, Developer Advocate at Confluent
https://twitter.com/gamussa
Developer Advocate at Confluent, makers of an event streaming platform based on Apache Kafka.
Viktor has extensive experience in building low-latency, scalable, and highly available distributed systems. He is a professional conference speaker on distributed systems, streaming data, JVM, and DevOps topics, and is a regular at events including JavaOne, Devoxx, OSCON, QCon, and others. Сo-author of O’Reilly’s “Enterprise Web Development.”

Anton Arhipov, Developer Advocate at JetBrains
https://twitter.com/antonarhipov

Anton is a Developer Advocate in the Kotlin team…

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