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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

An overview of securing Kafka

Kafka is used as a centralized event data store, receiving data from various sources, such as micro services and databases.

In any enterprise deployment of Kafka, security should be looked at from five paradigms. They are as follows:

  • Authentication: This establishes who the client(producer or consumer) is that trying to use Kafka services. Kafka has support for the Kerberos authentication mechanism.
  • Authorization: This establishes what kind of permission the client (producer or consumer) has on topics. Kafka has support for ACLs for authorization. Apache tools, such as Ranger, can also be used for Kafka authorization.
  • Wire encryption: This ensures that any sensitive data traveling over the network is encrypted and not in plain text. Kafka has support for SSL communication between the client (producer or consumer) and the broker. Even inter-broker...
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