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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

Product type Paperback

Published in Aug 2017

Publisher Packt

ISBN-13 9781787283985

Length 278 pages

Edition 1st Edition

Tools

Kafka

Concepts

Data Analysis

Authors (2):

Manish Kumar

Chanchal Singh

View More author details

Table of Contents (20) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Introduction to Messaging Systems

2. Introducing Kafka the Distributed Messaging Platform FREE CHAPTER

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

Useful Kafka matrices

For useful monitoring and performance measures, we need to have certain matrices, and we will talk about those matrices in this section.

We will look into the matrices of Kafka cluster component in detail. The matrices are as follows:

Kafka producer matrices
Kafka broker matrices
Kafka consumer matrices

Producer matrices

Producers are responsible for producing data to Kafka topics. If the producer fails, the consumer will not have any new messages to consume and it will be left idle. The performance of the producer also plays an important role in achieving high throughput and latency. Let's look into a few important matrices of Kafka producer:

Response rate: The producer sends records to the Kafka broker, and the broker acknowledges when a message is written to a replica in case of a request. Required .acks is set to -1. The response rate depends on the value assigned to this property. If set to, -0, the broker will immediately return a response when it receives a request...

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Authors (2)

Singh

Singh

Chanchal Singh has over half decades experience in Product Development and Architect Design. He has been working very closely with leadership team of various companies including directors ,CTO's and Founding members to define technical road-map for company.He is the Founder and Speaker at meetup group Big Data and AI Pune MeetupExperience Speaks. He is Co-Author of Book Building Data Streaming Application with Apache Kafka. He has a Bachelor's degree in Information Technology from the University of Mumbai and a Master's degree in Computer Application from Amity University. He was also part of the Entrepreneur Cell in IIT Mumbai. His Linkedin Profile can be found at with the username Chanchal Singh.

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Kumar

Kumar

Manish Kumar works as Director of Technology and Architecture at VSquare. He has over 13 years' experience in providing technology solutions to complex business problems. He has worked extensively on web application development, IoT, big data, cloud technologies, and blockchain. Aside from this book, Manish has co-authored three books (Mastering Hadoop 3, Artificial Intelligence for Big Data, and Building Streaming Applications with Apache Kafka).

See other products by Kumar

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