Apache Pulsar in Action
Kjerrumgaard, David
- 出版商: Manning
- 出版日期: 2021-12-08
- 定價: $1,850
- 售價: 8.8 折 $1,628 (限時優惠至 2025-03-31)
- 語言: 英文
- 頁數: 400
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1617296880
- ISBN-13: 9781617296888
-
相關翻譯:
Apache Pulsar實戰 (簡中版)
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商品描述
Apache Pulsar in Action is a comprehensive and practical guide to building high-traffic applications with Pulsar, delivering extreme levels of speed and durability. You'll start with Pulsar's fundamentals, each illustrated by real-world examples, then move on to deploying a Pulsar server, ingesting data from third-party systems, deploying lightweight computing logic with simple functions, and more.
Distributed applications demand reliable, high-performance messaging. The Apache Pulsar server-to-server messaging system provides a secure, stable platform without the need for a stream processing engine like Spark. Apache Pulsar in Action is a hands-on guide to building scalable streaming messaging systems for distributed applications and microservices systems.
Apache Pulsar in Action is a comprehensive and practical guide to building high-traffic applications with Pulsar, delivering extreme levels of speed and durability. You'll start with Pulsar's fundamentals, each illustrated by real-world examples, then move on to deploying a Pulsar server, ingesting data from third-party systems, deploying lightweight computing logic with simple functions, and more. At the end of this practical book, you'll be ready to fully take advantage of Pulsar to create high-traffic message-driven applications.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
作者簡介
David Kjerrumgaard is a committer on the Apache Pulsar project and serves as a Developer Advocate for StreamNative with a focus on educating developers about Apache Pulsar. He was formerly the Global Practice Director at Hortonworks, where he was responsible for the development of best practices and solutions for the professional services team, with a focus on Streaming technologies including Kafka, NiFi, and Storm. He has earned both a BS and MS in Computer Science and Mathematics from Kent State University.
