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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
Tools
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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

Single cluster deployment

This section will give you an overview of what Kafka cluster would look like in a single data center. In a single cluster deployment, all your clients would connect to one data center, and read/write would happen from the same cluster. You would have multiple brokers and Zookeeper servers deployed to serve the requests. All those brokers and Zookeepers would be in the same data center within the same network subnet.

The following diagram represents what single cluster deployments would look like:

In the preceding diagram, Kafka is deployed in Data Center 1. Just like any other single Kafka cluster deployment, there are internal clients (Application 1 and Application 2), remote clients in different Data Centers (Application 3 and Application 4), and direct remote clients in the form of mobile applications.

As you can clearly see, this kind of setup has...

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