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نام کتاب
Mastering Apache Pulsar

Cloud Native Event Streaming at Scale

Jowanza Joseph

Print Length243 Pages
PublisherO'Reilly
Edition1
LanguageEnglish
Year2022
ISBN9781492084907
1K
A2233
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طلق پاپکو و فنر
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کیفیت متن:اورجینال انتشارات
قطع:B5
رنگ صفحات:دارای متن و کادر رنگی
پشتیبانی در روزهای تعطیل!
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#Apache

#Apache_Pulsar

#APIs

#open_source

#event-streaming

توضیحات

Every enterprise application creates data, including log messages, metrics, user activity, and outgoing messages. Learning how to move these items is almost as important as the data itself. If you're an application architect, developer, or production engineer new to Apache Pulsar, this practical guide shows you how to use this open source event streaming platform to handle real-time data feeds.


Jowanza Joseph, staff software engineer at Finicity, explains how to deploy production Pulsar clusters, write reliable event streaming applications, and build scalable real-time data pipelines with this platform. Through detailed examples, you'll learn Pulsar's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the load manager, and the storage layer.


This book helps you:

  • Understand how event streaming fits in the big data ecosystem
  • Explore Pulsar producers, consumers, and readers for writing and reading events
  • Build scalable data pipelines by connecting Pulsar with external systems
  • Simplify event-streaming application building with Pulsar Functions
  • Manage Pulsar to perform monitoring, tuning, and maintenance tasks
  • Use Pulsar's operational measurements to secure a production cluster
  • Process event streams using Flink and query event streams using Presto


About the Author

Jowanza Joseph is a Staff Software Engineer at Finicity. Jowanza leads the development of Finicity's Open Banking Event Mesh. Jowanza has worked on streaming and messaging technologies for close to a decade. Previous to Finicity, Jowanza worked on the Streaming Data Platform at Pluralsight, working with Apache Kafka, Akka, and Kubernetes at scale. Earlier, he worked with Apache Pulsar, using Pulsar to build a fully managed messaging and stream processing platform, processing billions of messages per day.

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