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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

Introduction to Apache Heron

Apache Heron is the successor to Apache Storm with backward compatibility. Apache Heron
provides more power in terms of throughput, latency, and processing capability over Apache Storm as use cases in Twitter started increasing, they felt of having new stream processing engine because of the following Storm bottleneck:

  • Debugging: Twitter faced challenges in debugging due to code errors, hardware failures, and so on. The root cause was very difficult to detect because of no clear mapping of logical unit of computation to physical processing.
  • Scale on Demand: Storm requires dedicated cluster resources, which needs separate hardware resources to run Storm topology. This restricts Storm from using cluster resources efficiently and limits it to scale on demand. This also limits its ability to share cluster resources across different processing engines...
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