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Kafka: The Definitive Guide : Real-Time Data and Stream Processing at Scale (2nd Edition) Spiral-Bound |

Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty

★★★★☆+ from 501 to 1,000 ratings

$57.89 - Free Shipping

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 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.

You'll examine:

  • Best practices for deploying and configuring Kafka
  • Kafka producers and consumers for writing and reading messages
  • Patterns and use-case requirements to ensure reliable data delivery
  • Best practices for building data pipelines and applications with Kafka
  • How to perform monitoring, tuning, and maintenance tasks with Kafka in production
  • The most critical metrics among Kafka's operational measurements
  • Kafka's delivery capabilities for stream processing systems
Publisher: Ingram Publisher Services
Original Binding: Trade Paperback
Pages: 485 pages
ISBN-10: 1492043087
Item Weight: 2.28 lbs
Dimensions: 7.0 x 1.76 x 9.2 inches
Customer Reviews: 4 out of 5 stars 501 to 1,000 ratings
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.