:rocket: Thrilled to continue my series, "Getting ...
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🚀 Thrilled to continue my series, "Getting Started with Real-Time Streaming in Kotlin"! The second installment, "Kafka Clients with Avro - Schema Registry and Order Events," is now live and takes our event-driven journey a step further. In this post, we level up by: * Migrating from JSON to Apache Avro for robust, schema-driven data serialization. * Integrating with Confluent Schema Registry for managing Avro schemas effectively. * Building Kotlin producer and consumer applications for Order events, now with Avro. * Demonstrating the practical setup using Factor House Local and Kpow for a seamless Kafka development experience. This is post 2 of 5 in the series. Next up, we'll dive into Kafka Streams for real-time processing, before exploring the power of Apache Flink! Check out the full article: https://jaehyeon.me/blog/2025-05-27-kotlin-getting-started-kafka-avro-clients/