Book Image

Building Data Streaming Applications with Apache Kafka

By : Chanchal Singh, Manish Kumar
Book Image

Building Data Streaming Applications with Apache Kafka

By: Chanchal Singh, Manish Kumar

Overview of this book

Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it.
Table of Contents (14 chapters)

Managing high volumes in Kafka

You must be wondering why we need to talk about high volumes in this chapter, considering how aspects such as high volumes, performance, and scalability are in the genes of Kafka architecture. Well, you are thinking in the right direction, but certain parameters need to be tuned to manage Kafka latency and throughput requirements.

Moreover, you have to choose the right set of hardware and perform appropriate capacity planning. Therefore, we thought that it is better to discuss it. In a nutshell, when we talk about high volumes in Kafka, you have to think of following aspects:

  • High volume of writes or high message writing throughput
  • High volumes of reads or high message reading throughput
  • High volume of replication rate
  • High disk flush or I/O

Let's look at some of the components that you should consider for high volumes in Kafka.

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