Apache Kafka® Event Streaming Platform For Kotlin Developers


    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.

    0:00 Introduction
    2:56 Bootstrapping the project
    8:23 Building the application
    9:56 Implementing a supplier
    11:34 Configuration
    13:59 Confluent cloud
    17:37 Demo
    18:40 TestContainers
    19:40 Exploring Kafka topics
    21:38 Implementing a consumer
    26:18 How does it work?
    33:48 Consumer groups
    35:15 Stream processing
    52:50 Querying data
    1:02:47 Summary

    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 at JetBrains. His professional interests include programming languages and developer tooling. Anton has been a Java Champion since 2014, and is also a co-organizer of DevClub.eu, a local developers community in Tallinn, Estonia.


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    1. In your application.yaml you are writing a binder like this

      What's the significance of the zero? Is it the number of arguments passed to the producerChuckNoris method? And, I also wanted to know how to pass the class type instead of String.