• Title: Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
• Author(s) Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty
• Publisher: O'Reilly Media; 2nd edition (2021); eBook (Compliments of Confluent)
• Permission: Free eBook is complimented by Confluent
• Hardcover/Paperback: 488 pages
• eBook: PDF (486 pages)
• Language: English
• ISBN-10/ASIN: 1492043087/B09L6KLWDG
• ISBN-13: 978-1492043089
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Book Description

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Apache Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes.

Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.

• Gwen Shapira is a system architect at Confluent helping customers achieve success with their Apache Kafka implementation.
• Todd Palino is a Staff Site Reliability Engineer at LinkedIn, tasked with keeping the largest deployment of Apache Kafka, Zookeeper, and Samza fed and watered.
• Rajini Sivaram is a Software Engineer at Confluent designing and developing security features for Kafka.
• Krit Petty is the Site Reliability Engineering Manager for Kafka at LinkedIn.

• Amazon

• Data Processing, Data Analysis and Data Mining
• Big Data and Data Stream
• Data Science
• Database Theory and Systems
• Parallel, Concurrent, and Distributed Computing and Programming

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