num_pages: 322
description: Every enterprise application creates data whether it??s log messages metrics user activity outgoing messages or something else. And how to move all of this data becomes nearly as important as the data itself. If you??re an application architect developer or production engineer new to Apache Kafka this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are 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.
language: English
title: Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
publisher: O'Reilly Media