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Kafka: The Definitive Guide

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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 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 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 Kafka's operational measurementsKafka's delivery capabilities for stream processing systemsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Kafka: The Definitive Guide. To get started finding Kafka: The Definitive Guide, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 488

Format: PDF, EPUB & Kindle Edition

Publisher: O'Reilly Media

Release: 2021

ISBN: 1492043036

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 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 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 Kafka's operational measurementsKafka's delivery capabilities for stream processing systemsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Kafka: The Definitive Guide. To get started finding Kafka: The Definitive Guide, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Kafka: The Definitive Guide

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