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Kafka Streams for Software Developers

Explore Kafka Streams for real-time data processing. Learn Kafka concepts, CLI tools, complex topologies, and Spring Boot integration to build scalable, resilient applications.

4.5
45 Lessons
2 Projects
7h
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
  • An understanding of Apache Kafka concepts and CLI tools application
  • Hands-on experience building stateless and stateful topologies using Kafka Streams
  • Working knowledge of error handling in Kafka Streams applications
  • Familiarity with building Kafka Streams applications using Spring Boot

Learning Roadmap

45 Lessons1 Project6 Quizzes

1.

Kafka Streams Overview

Kafka Streams Overview

Get familiar with real-time data processing, Kafka Streams architecture, and practical applications.

3.

Stateless Processing

Stateless Processing

10 Lessons

10 Lessons

Work your way through stateless processing in Kafka Streams with setup, operations, and testing.

4.

Error Handling

Error Handling

4 Lessons

4 Lessons

Break down the steps to manage error handling in Kafka Streams applications effectively.

5.

Stateful Processing

Stateful Processing

7 Lessons

7 Lessons

Dig into stateful processing, operations, windowing, and interactive queries in Kafka Streams.

6.

Kafka Streams with Spring Boot

Kafka Streams with Spring Boot

8 Lessons

8 Lessons

Investigate integrating Kafka Streams with Spring Boot, including setup, topology, monitoring, and visualization.
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Author NameKafka Streams for SoftwareDevelopers
Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR

Stav Shamir

An experienced software engineer and team lead. I enjoy learning and sharing my knowledge with others.

Learn more about Stav

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