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Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale, Second Edition PDF

425 Pages·2021·5.6956 MB·other
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About Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale, Second Edition

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This bookâ??s updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafkaâ??s AdminClient API, 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, youâ??ll learn Kafkaâ??s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Youâ??ll examine: How publish-subscribe messaging fits in the big data ecosystem 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 Kafkaâ??s operational measurements Kafkaâ??s delivery capabilities for stream processing systems

Detailed Information

Author:Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty
Publication Year:2021
ISBN:1492043087
Pages:425
Language:other
File Size:5.6956
Format:PDF
Price:FREE
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