Kafka Streams API for Developers Using Java/Spring Boot 3.X

Welcome to the Kafka Streams API video course, where you will dive deep into building powerful Kafka Streams applications. In the first section, you will start by introducing the fundamental concepts and terminologies associated with Kafka Streams development. You will then move on to building a simple Kafka Streams app and testing it locally to gain hands-on experience.

Next, you will explore the various operators available in the Kafka Streams API, gaining a solid understanding of how they contribute to building robust streaming applications. You will also delve into the serialization and deserialization process, learning the best approach to creating a generic serializer and deserializer that can be utilized for any type of message.

Moving forward, you will take on the exciting task of implementing an order management system for a retail company using Kafka Streams. You will explore error handling mechanisms, KTable and GlobalKTable concepts, and dive into stateful operators and aggregation-related functionalities. Additionally, you will learn about the importance of rekeying records and the use of joins in your application.

Continuing your journey, you will learn about writing automated tests for Kafka Streams apps, including unit tests and integration tests using Embedded Kafka. Additionally, you will explore the concept of a grace period and its application in Kafka Streams.

Finally, you will learn how to package your Kafka Streams app as an executable and launch it effectively.

By the end of this course, you will have a comprehensive understanding of the Kafka Streams API, enabling you to build a wide range of applications using this powerful tool.