Kafka - The Definitive Guide: Real-Time Data and Stream Processing at Scale by G

Description: Kafka - The Definitive Guide by Gwen Shapira, Todd Palino, Rajini Sivaram 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 Kafkas AdminClient API, transactions, new security features, and tooling changes. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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 Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafkas 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, youll learn Kafkas design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer.Youll examine:Best practices for deploying and configuring KafkaKafka producers and consumers for writing and reading messagesPatterns and use-case requirements to ensure reliable data deliveryBest practices for building data pipelines and applications with KafkaHow to perform monitoring, tuning, and maintenance tasks with Kafka in productionThe most critical metrics among Kafkas operational measurementsKafkas delivery capabilities for stream processing systems Author Biography 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 industryrunning 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. Rajini Sivaram is a Software Engineer at Confluent designing and developing security features for Kafka. She is an Apache Kafka Committer and member of the Apache Kafka Program Management Committee. Prior to joining Confluent, she was at Pivotal working on a high-performance reactive API for Kafka based on Project Reactor. Earlier, Rajini was a key developer on IBM Message Hub which provides Kafka-as-a-Service on the IBM Bluemix platform. Her experience ranges from parallel and distributed systems to Java virtual machines and messaging systems. Krit Petty is the Site Reliability Engineering Manager for Kafka at LinkedIn. Before becoming Manager, he worked as an SRE on the team expanding and increasing Kafka to overcome the hurdles associated with scaling Kafka to never before seen heights, including taking the first steps to moving LinkedIns large-scale Kafka deployments into Microsofts Azure cloud. Krit has a Masters Degree in Computer Science and previously worked managing Linux systems and as a Software Engineer developing software for high-performance computing projects in the oil and gas industry. Details ISBN1492043087 Author Rajini Sivaram Short Title Kafka: the Definitive Guide Pages 425 Language English Edition 2nd ISBN-10 1492043087 ISBN-13 9781492043089 Format Paperback Subtitle Real-Time Data and Stream Processing at Scale Audience Professional and Scholarly Year 2021 Place of Publication Sebastopol Country of Publication United States Publication Date 2021-11-30 AU Release Date 2021-11-30 NZ Release Date 2021-11-30 US Release Date 2021-11-30 UK Release Date 2021-11-30 Publisher OReilly Media Imprint OReilly Media Edition Description 2nd Revised edition DEWEY 005.713 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:133965165;

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