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)

Multicluster deployment

Generally, multicluster deployment is used to mitigate some of the risks associated with single cluster deployment. We have mentioned to you, some of those risks in the preceding section. Multicluster deployment can come in two flavors - distributive models and aggregate models.

The distributive model diagram is shown in the following figure. In this model, based on the topics, messages are sent to different Kafka clusters deployed in different data centers. Here, we have chosen to deploy Kafka cluster on Data Center 1 and Data Center 3.

Applications deployed in Data Center 2 can choose to send data to any of the Kafka clusters deployed in Data Center 1 and Data Center 3. They will use different a data center-deployed Kafka cluster depending on the Kafka topic associated with the messages. This kind of message routing can also be done using some intermediate...