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Kafka Streams for Software Developers

Name: Kafka Streams for Software Developers
Price: 59 USD
Author: Stav Shamir

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

4.4

45 lessons

2 projects

Created by Stav Shamir

What's included

45 lessons across 7 modules
6 quizzes with instant feedback
2 projects in preconfigured environments
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

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

Kafka Streams Overview

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

Introduction to the Course

Introduction to Kafka Streams

Kafka Streams Topologies

Kafka Streams Hello World

Quiz: Basic Kafka Streams Concepts

Building Our Kafka Tool Belt

Discover the logic behind essential Kafka tools, scripts, message handling, and partitioning.

First Steps with Kafka Scripts

Consuming and Producing Messages

Consuming and Producing Messages with Keys

Kafka Topic as a Log

Kafka Topic Partitions

Kafka Topic Partitions in Practice

Consumer Groups

The kafka-consumer-groups Command

What’s in Our Kafka Tool Belt: A Summary

Quiz: Kafka Concepts and Commands

Stateless Processing

10 Lessons

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

Error Handling

4 Lessons

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

Stateful Processing

7 Lessons

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

Setting up a Streaming Data Pipeline With Kafka

Project

Premium

Kafka Streams with Spring Boot

8 Lessons

Investigate integrating Kafka Streams with Spring Boot, including setup, topology, monitoring, and visualization.

Build an Order Processing Kafka Streams Application

Project

Wrap Up

Build on your knowledge of real-time stream processing and Kafka Streams integration.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE 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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