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)

Summary

We have come to the end of this chapter, and by now you should have a basic understanding of the Kafka messaging system. An important aspect of mastering any system is that you should understand the system end to end at a high level first. This will put you in a better position when you understand individual components of the system in detail. You can always establish the logical connection with end-to-end system understanding and understand why individual components are designed in a particular way. In this chapter, our goal was the same.

We started by discovering why Kafka was built in the first place. We have put forward problems in LinkedIn systems that led to the creation of Kafka. That section will give you a very clear understanding of the types of problem that Kafka can solve.

We further covered Kafka's logical and system architecture. Putting Kafka architecture...