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Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale 1st Edition

by Neha Narkhede (Author), Gwen Shapira (Author), Todd Palino (Author)
4.5 4.5 out of 5 stars 343 ratings
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Every enterprise application creates data, whether itâ??s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If youâ??re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds.

Engineers from Confluent and LinkedIn who are 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, youâ??ll learn Kafkaâ??s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.

  • Understand publish-subscribe messaging and how it fits in the big data ecosystem.
  • Explore Kafka producers and consumers for writing and reading messages
  • Understand Kafka patterns and use-case requirements to ensure reliable data delivery
  • Get best practices for building data pipelines and applications with Kafka
  • Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks
  • Learn the most critical metrics among Kafkaâ??s operational measurements
  • Explore how Kafkaâ??s stream delivery capabilities make it a perfect source for stream processing systems

Previous page
  1. ISBN-10
    9781491936160
  2. ISBN-13
    978-1491936160
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    October 24, 2017
  6. Language
    English
  7. Dimensions
    7.05 x 0.68 x 9.13 inches
  8. Print length
    319 pages
  9. See all details
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From the Publisher

Kafka The Definitive Guide

From the Preface

Who Should Read This Book

Kafka: The Definitive Guide was written for software engineers who develop applications that use Kafka’s APIs and for production engineers (also called SREs, devops, or sysadmins) who install, configure, tune, and monitor Kafka in production. We also wrote the book with data architects and data engineers in mind—those responsible for designing and building an organization’s entire data infrastructure.

Some of the chapters, especially chapters 3, 4, and 11 are geared toward Java developers. Those chapters assume that the reader is familiar with the basics of the Java programming language, including topics such as exception handling and concurrency. Other chapters, especially chapters 2, 8, 9, and 10, assume the reader has some experience running Linux and some familiarity with storage and network configuration in Linux. The rest of the book discusses Kafka and software architectures in more general terms and does not assume special knowledge.

Another category of people who may find this book interesting are the managers and architects who don’t work directly with Kafka but work with the people who do. It is just as important that they understand what Kafka provides and the trade-offs that their employees and coworkers will need to make while building Kafka-based systems. The book can provide ammunition to managers who would like to get their staff trained in Apache Kafka or ensure that their teams know what they need to know.

Editorial Reviews

About the Author

Neha Narkhede is co-founder and CTO at Confluent, a company backing the popular Apache Kafka messaging system. Prior to founding Confluent, Neha led streams infrastructure at LinkedIn, where she was responsible for LinkedIn’s streaming infrastructure built on top of Apache Kafka and Apache Samza. She is one of the initial authors of Apache Kafka and a committer and PMC member on the project.

Gwen Shapira is a system architect at Confluent helping customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an Oracle Ace Director, an author of "Hadoop Application Architectures", and a frequent presenter at data driven conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects.

Todd is a Staff Site Reliability Engineer at LinkedIn, tasked with keeping the largest deployment of Apache Kafka, Zookeeper, and Samza fed and watered. He is responsible for architecture, day-to-day operations, and tools development, including the creation of an advanced monitoring and notification system. Todd is the developer of the open source project Burrow, a Kafka consumer monitoring tool, and can be found sharing his experience on Apache Kafka at industry conferences and tech talks. Todd has spent over 20 years in the technology industry running infrastructure services, most recently as a Systems Engineer at Verisign, developing service management automation for DNS, networking, and hardware management, as well as managing hardware and software standards across the company.

Product details

  • ASIN ‏ : ‎ 1491936169
  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (October 24, 2017)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 319 pages
  • ISBN-10 ‏ : ‎ 9781491936160
  • ISBN-13 ‏ : ‎ 978-1491936160
  • Item Weight ‏ : ‎ 1.28 pounds
  • Dimensions ‏ : ‎ 7.05 x 0.68 x 9.13 inches
  • Customer Reviews:
    4.5 4.5 out of 5 stars 343 ratings

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Customer reviews

4.5 out of 5 stars
4.5 out of 5
343 global ratings

Top reviews from the United States

Sandy Agafonoff
5.0 out of 5 stars Comprehensive and accessible
Reviewed in the United States on October 2, 2018
Verified Purchase
There is enough information here to both get you started and keep you out of trouble. Anyone seriously looking at using Kafka should read this book.
One person found this helpful
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gashland
4.0 out of 5 stars Great book
Reviewed in the United States on November 26, 2017
Verified Purchase
I read this book to start my understanding of Kafka and its usage. I found the book very helpful. It's a good book for anyone needing to setup and use Kafka.
2 people found this helpful
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Amazon Customer
5.0 out of 5 stars Very good book
Reviewed in the United States on November 13, 2017
Verified Purchase
Precisely explains the concepts in Kafka. I have very good understanding of Kafka. Job well done!!
One person found this helpful
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Tomas
5.0 out of 5 stars Must have for Kafka fans
Reviewed in the United States on December 12, 2018
Verified Purchase
Really great book
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Jeff S
5.0 out of 5 stars Five Stars
Reviewed in the United States on October 30, 2017
Verified Purchase
Very concise guide to get you up and running.
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Victor
4.0 out of 5 stars Awesome
Reviewed in the United States on September 16, 2018
Verified Purchase
Awesome book
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D.Hebert
5.0 out of 5 stars Five Stars
Reviewed in the United States on January 10, 2018
Verified Purchase
nicely detailed and well written
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Xanan
3.0 out of 5 stars Acceptable for administrators, bad for programmers, and tons of errors
Reviewed in the United States on December 16, 2017
The book provides a general coverage of Kafka's architecture and internal working.
It details many configuration parameters that affect clustering, replication, message delivery.
It also offers valuable material for system administrators who need to manage and monitor a running cluster.
It's not very good for programmers: Java API coverage is partial and inadequate.
The chapters are uncoordinated and poorly integrated with some repeated material.
Many errors in the code samples and the text.

Chapters 3, 4, and 11 discuss the programming API.
The first two deal with message producers and consumers, present the Java API for publishing and consuming messages and discuss delivery semantics. They also detail configuration options that can be used to customize message producers and consumers. Security and access control is mentioned but never really discussed. There is not a single full program that can be run but several snippets full of errors.
Chapter 11 offers a tutorial introduction to stream processing: what it is and what problems it solves. Three code examples illustrate Kafka Streams, the Stream framework that comes with Kafka and provides a high level abstraction for manipulating data streams. The chapter gives you a taste of what you can do with Kafka Streams but doesn't do much to teach how to use it.

Chapter 2 gives a tutorial on Kafka installation and discusses several configuration options that may help in tuning a Kafka cluster. Basic ZooKeeper knowledge can help understand.

Chapter 5 delves into the internals of replication, partitions, request processing, and message storage on physical files.
Chapter 6 discusses data delivery guarantees. It revisits producer and consumer issues related to message delivery, and how to configure brokers and topics. It also explains how "at least once" delivery is easily achievable while "exactly once" delivery is not.

Chapter 7 briefly explores the Kafka Connect architecture: a producer/consumer alternative to exchange data between Kafka and another data storage system.

Chapters 8-10 have a more sysadmin-oriented content.
Chapter 8 explores cross cluster data mirroring, why you may need it, available alternative architectures/models and issues of lost or duplicated data you may come across. It also introduces Kafka's own cluster mirroring tool MirrorMaker, its configuration and tuning.
Chapter 9 covers command line tools to create and manage topics and partitions.
Chapter 10 is on monitoring a Kafka cluster and explores JMX metrics exposed by brokers, producers and consumers that can help in monitoring and detecting problems. Basic JMX knowledge is required to follow along.
52 people found this helpful
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Top reviews from other countries

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John Landells
1.0 out of 5 stars Of no help for anything but a dev instance of Kafka!
Reviewed in the United Kingdom on October 20, 2021
Verified Purchase
There's a reasonable amount of information online about how to setup a dev instance of Kafka on a single node, but I found what's out there more confusing when looking at setting up a production instance with multiple Zookeeper nodes. I purchased this book as it offered a section on installing Kafka, on both single and multiple nodes. Sadly, the information for anything other than a single node is woefully inadequate, and I'll be returning the book for a refund, if I'm able!
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Romik
5.0 out of 5 stars Great book
Reviewed in Canada on March 27, 2020
Verified Purchase
Great review book. Keeps the terminology fresh. Well written!
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Danza kuduro
5.0 out of 5 stars Best
Reviewed in India on April 1, 2021
Verified Purchase
Best
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Amazon Customer
5.0 out of 5 stars Muito bom
Reviewed in Brazil on February 12, 2019
Verified Purchase
Muito bom livro, sanou minhas dúvidas pois detalha bem o funcionamento do Kafka e fornece todas informações necessárias para quem planeja utilizá-lo em seus projetos.
É recomendado conhecimento prévio de sistemas de mensageria antes de ler esse livro.
3 people found this helpful
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Cliente de Amazon
5.0 out of 5 stars Libro muy completo
Reviewed in Mexico on November 17, 2017
Verified Purchase
El libro explica con detalle cada tema y la variedad de temas cubiertas en el libro es muy amplia. Recomendado para aprender a administrar y usar Kafka.
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