Delve into Kafka Streams for real-time data processing. Gain insights into Kafka concepts, CLI tools, complex topologies, and Spring Boot integration, enabling you to build scalable, resilient applications.

kafka-streams-course.tar.gz

hello-world

stateless-topology

stateless-topology-test

stateful-topology

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Kafka Streams is a Java library designed to develop applications and microservices tailored for real-time data stream processing. Harnessing Kafka’s capabilities, applications constructed using Kafka Streams exhibit exceptional scalability and fault tolerance. This versatile tool finds applications in various scenarios and domains.

The course starts with an introduction to Kafka Streams. Next, you will learn important Kafka concepts and gain experience using Kafka CLI tools. Then, you will learn how to build complex Kafka Streams topologies using stateless operators, error handling, and stateful operations. Finally, you will learn how to integrate Kafka Streams in Spring Boot applications, including using Spring’s monitoring and metrics capabilities.

After completing this course, you can build data-intensive real-time stream processing applications and microservices using Kafka Streams, enabling you to build powerful, resilient, and scalable products.

Kafka Streams for Software Developers

Learn how to find the number of partitions in a topic, determine the number of partitions for new topics, and change the number of partitions of an existing topic.

Kafka Streams Overview

Building Our Kafka Tool Belt

Stateless Processing

Error Handling

Stateful Processing

Kafka Streams with Spring Boot

Build an Order Processing Kafka Streams Application

Wrap Up

Kafka Topic Partitions in Practice

Checking the number of partitions in a topic