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)

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...