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Название: Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale, 2nd Edition (Final)
Автор: Gwen Shapira, Todd Palino, Rajini Sivaram
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 425
Язык: английский
Формат: epub
Размер: 10.1 MB
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 book'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 Kafka'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.
Автор: Gwen Shapira, Todd Palino, Rajini Sivaram
Издательство: O’Reilly Media, Inc.
Год: 2022
Страниц: 425
Язык: английский
Формат: epub
Размер: 10.1 MB
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 book'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 Kafka'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.