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Kafka - The Definitive Guide - Real-time data and stream processing at scale (Paperback)
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Kafka - The Definitive Guide - Real-time data and stream processing at scale (Paperback)
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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. Understand publish-subscribe messaging and how it fits in
the big data ecosystem. Explore Kafka producers and consumers for
writing and reading messages Understand Kafka patterns and use-case
requirements to ensure reliable data delivery Get best practices
for building data pipelines and applications with Kafka Manage
Kafka in production, and learn to perform monitoring, tuning, and
maintenance tasks Learn the most critical metrics among Kafka's
operational measurements Explore how Kafka's stream delivery
capabilities make it a perfect source for stream processing systems
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