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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

Understanding Zookeeper authentication

Zookeeper is the metadata service for Kafka. SASL-enabled Zookeeper services first authenticate access to metadata stored in Zookeeper. Kafka brokers need to authenticate themselves using Kerberos to use Zookeeper services. If valid, the Kerberos ticket is presented to Zookeeper, it then provides access to the metadata stored in it. After valid authentication, Zookeeper establishes connecting user or service identity. This identity is then used to authorize access to metadata Znodes guarded by ACLs.

One important thing for you to understand is that Zookeeper ACLs restrict modifications to Znodes. Znodes can be read by any client. The philosophy behind this behavior is that sensitive data is not stored in Zookeeper. However, modifications by an unauthorized user can disrupt your cluster's behavior. Hence, Znodes are world readable, but...

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