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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

Capacity planning

Capacity planning is mostly required when you want to deploy Kafka in your production environment. Capacity planning helps you achieve the desired performance from Kafka systems along with the required hardware. In this section, we will talk about some of the important aspects to consider while performing capacity planning of Kafka cluster.

Note that there is no one definite way to perform Kafka capacity planning. There are multiple factors that come into the picture, and they vary depending upon your organizational use cases.

Our goal here is to give you a good starting point for Kafka cluster capacity planning with some pointers that you should always keep in mind. Let's consider these one by one.

Capacity planning goals

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