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)

Latency and throughput

One of the fundamental features of any streaming application is to process inbound data from different sources and produce an outcome instantaneously. Latency and throughput are the important initial considerations for that desired feature. In other words, performance of any streaming application is measured in terms of latency and throughput.

The expectation from any streaming application is to produce outcomes as soon as possible and to handle a high rate of incoming streams. Both factors have an impact on the choice of technology and hardware capacity to be used in streaming solutions. Before we understand their impact in detail, let's first understand the meanings of both terms.

Latency is defined as the unit of time (in milliseconds) taken by the streaming application in processing an event or group of events and producing an output after the events...