This course is meticulously crafted to guide you through the intricacies of Kafka Streams API using Java and Spring Boot 3.x. You鈥檒l start by getting familiar with the core concepts of Kafka Streams, understanding how to build basic stream processing applications, and moving quickly into practical examples. The course structure ensures that you not only grasp the theoretical aspects but also gain hands-on experience by developing real-world applications such as an Order Management System. As you progress, you'll delve into more advanced topics, including serialization/deserialization, stateful operations like aggregation, joins, and windowing. You'll learn how to manage and query state stores interactively, handle errors efficiently, and test your Kafka Streams applications using TopologyTestDriver and JUnit5. The course emphasizes best practices and recommended approaches, ensuring that your applications are both scalable and maintainable. By the end of this course, you'll have a deep understanding of Kafka Streams API, be proficient in using Spring Boot for building and running Kafka Streams applications, and be well-prepared to tackle complex, real-time data processing challenges in your projects. Whether you're building microservices or handling big data pipelines, this course will elevate your expertise in distributed systems. This course is designed for Java developers with intermediate knowledge of Spring Boot. A basic understanding of Kafka and distributed systems will be beneficial but is not mandatory.
Package the Spring Boot App and Execute It as a Jar File
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Skills You'll Learn
Kafka Streams API, Serialization, Spring Boot, Java, KTable
From the lesson
Build and Package the Spring Boot App as an Executable
In this module, we will show you how to package your Spring Boot Kafka Streams application as an executable jar file. You鈥檒l learn how to build the jar and run your application locally, preparing it for deployment.
Taught By
Packt - Course Instructors