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Building Data Streaming Applications with Apache Kafka

You're reading from   Building Data Streaming Applications with Apache Kafka Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787283985
Length 278 pages
Edition 1st Edition
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Authors (2):
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Chanchal Singh Chanchal Singh
Author Profile Icon Chanchal Singh
Chanchal Singh
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Messaging Systems FREE CHAPTER 2. Introducing Kafka the Distributed Messaging Platform 3. Deep Dive into Kafka Producers 4. Deep Dive into Kafka Consumers 5. Building Spark Streaming Applications with Kafka 6. Building Storm Applications with Kafka 7. Using Kafka with Confluent Platform 8. Building ETL Pipelines Using Kafka 9. Building Streaming Applications Using Kafka Streams 10. Kafka Cluster Deployment 11. Using Kafka in Big Data Applications 12. Securing Kafka 13. Streaming Application Design Considerations

Kafka Cluster Deployment

In the previous chapters, we talked about the different use cases associated with Apache Kafka. We shed light on different technologies and frameworks associated with the Kafka messaging system. However, putting Kafka to production use requires additional tasks and knowledge. Firstly, you must have a very thorough understanding of how the Kafka cluster works. Later on, you must determine the hardware required for the Kafka cluster by performing adequate capacity planning. You need to understand Kafka deployment patterns and how to perform day-to-day Kafka administrating activities. In this chapter, we will cover the following topics:

  • Kafka cluster internals
  • Capacity planning
  • Single-cluster deployment
  • Multi-cluster deployment
  • Decommissioning brokers
  • Data migration

In a nutshell, this chapter focuses on Kafka cluster deployment on enterprise grade production...

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