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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

Understanding ACL and authorization

Apache Kafka comes with a pluggable authorizer known as Kafka Authorization Command Line (ACL) Interface, which is used for defining users and allowing or denying them to access its various APIs. The default behavior is that only a superuser is allowed to access all the resources of the Kafka cluster, and no other user can access those resources if no proper ACL is defined for those users. The general format in which Kafka ACL is defined is as follows:

Principal P is Allowed OR Denied Operation O From Host H On Resource R.

The terms used in this definition are as follows:

  • Principal is the user who can access Kafka
  • Operation is read, write, describe, delete, and so on
  • Host is an IP of the Kafka client that is trying to connect to the broker
  • Resource refers to Kafka resources such as topic, group, cluster

Let's discuss a few common ACL...

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