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Mastering Apache Kafka With Spring Boot

Real-Time Event Processing for Spring Boot Applications

Language EnglishEnglish
Book Paperback
Book Mastering Apache Kafka With Spring Boot Aneesh Kumar
Libristo code: 52119749
Publishers Independently published, April 2026
Mastering Apache Kafka with Spring BootReal-Time Event Processing for Spring Boot ApplicationsModern... Full description
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Mastering Apache Kafka with Spring Boot
Real-Time Event Processing for Spring Boot Applications

Modern applications don't just process data - they react to it in real time.

If you're a Spring Boot developer looking to build scalable, event-driven systems using Apache Kafka, this book gives you a clear, practical path from fundamentals to production-ready architecture.

Instead of isolated examples, you'll build a complete order processing system step by step - learning how real-world Kafka applications are designed, implemented, and scaled.

You'll start with Kafka basics and quickly move into building producers and consumers, handling failures, ensuring reliable delivery, and scaling with consumer groups. From there, you'll explore production-grade concerns like observability, monitoring, and stream processing.

This is not theory-heavy content. Every concept is grounded in practical implementation using Spring Boot.

Inside this book, you'll learn to:

  • Build and scale Kafka producers and consumers with Spring Boot
  • Design reliable event-driven systems using real-world patterns
  • Handle failures with retries and dead letter topics (DLT)
  • Ensure delivery guarantees and message ordering
  • Monitor, troubleshoot, and run Kafka in production

By the end of this book, you won't just understand Kafka - you'll know how to design, build, and run event-driven systems that work in production.

Turn your Spring Boot expertise into a powerful skillset for building modern, data-driven applications.

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About the book

Full name Mastering Apache Kafka With Spring Boot
Author Aneesh Kumar
Language English
Binding Book - Paperback
Date of issue 2026
Number of pages 114
EAN 9798258213587
Libristo code 52119749
Weight 165
Dimensions 152 x 229 x 6
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