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)

Kafka origins

Most of you must have used the LinkedIn portal in your professional career. The Kafka system was first built by the LinkedIn technical team. LinkedIn constructed a software metrics collecting system using custom in-house components with some support from existing open source tools. The system was used to collect user activity data on their portal. They use this activity data to show relevant information to each respective user on their web portal. The system was originally built as a traditional XML-based logging service, which was later processed using different Extract Transform Load (ETL) tools. However, this arrangement did not work well for a long time. They started running into various problems. To solve these problems, they built a system called Kafka.

LinkedIn built Kafka as a distributed, fault-tolerant, publish/subscribe system. It records messages organized...