Kafka: The Definitive Guide provides a deep dive into Apache Kafka, one of the most powerful distributed streaming platforms. This book explains how Kafka works, how to set it up, and how to use it efficiently for real-time data processing. It covers fundamental concepts such as Kafka producers, consumers, brokers, topics, partitions, and replication, while also exploring more advanced topics like stream processing, monitoring, security, and performance tuning.

Written by experts deeply involved in the Kafka ecosystem, this book is an essential resource for developers, architects, and data engineers looking to leverage Kafka for building scalable, fault-tolerant systems.

Why Read This Book

• Provides a complete understanding of Apache Kafka, from basics to advanced use cases.
• Covers real-world applications of Kafka in data pipelines, event-driven architectures, and microservices.
• Explains how to optimize Kafka performance, security, and monitoring.
• Offers practical guidance on deploying and managing Kafka clusters at scale.
• Written by experienced authors who have contributed to Kafka's development and deployment in production environments.

About the Authors

Gwen Shapira is a software engineer and Kafka expert with extensive experience in data architecture, distributed systems, and real-time data streaming.

Todd Palino is a principal engineer specializing in distributed systems, scalability, and Kafka-based architectures.

Rajini Sivaram is a software engineer working on Apache Kafka, with deep expertise in stream processing, security, and performance tuning.