Book Image

Apache Kafka

By : Nishant Garg
Book Image

Apache Kafka

By: Nishant Garg

Overview of this book

<p>Message publishing is a mechanism of connecting heterogeneous applications together with messages that are routed between them, for example by using a message broker like Apache Kafka. Such solutions deal with real-time volumes of information and route it to multiple consumers without letting information producers know who the final consumers are.</p> <p>Apache Kafka is a practical, hands-on guide providing you with a series of step-by-step practical implementations, which will help you take advantage of the real power behind Kafka, and give you a strong grounding for using it in your publisher-subscriber based architectures.</p> <p>Apache Kafka takes you through a number of clear, practical implementations that will help you to take advantage of the power of Apache Kafka, quickly and painlessly. You will learn everything you need to know for setting up Kafka clusters. This book explains how Kafka basic blocks like producers, brokers, and consumers actually work and fit together. You will then explore additional settings and configuration changes to achieve ever more complex goals. Finally you will learn how Kafka works with other tools like Hadoop, Storm, and so on.</p> <p>You will learn everything you need to know to work with Apache Kafka in the right format, as well as how to leverage its power of handling hundreds of megabytes of messages per second from multiple clients.</p>
Table of Contents (15 chapters)

About the Reviewers

Magnus Edenhill is a freelance systems developer living in Stockholm, Sweden, with his family. He specializes in high-performance distributed systems but is also a veteran in embedded systems.

For ten years, Magnus played an instrumental role in the design and implementation of PacketFront's broadband architecture, serving millions of FTTH end customers worldwide. Since 2010, he has been running his own consultancy business with customers ranging from Headweb—northern Europe's largest movie streaming service—to Wikipedia.

Iuliia Proskurnia is a doctoral student at EDIC school of EPFL, specializing in Distributed Computing. Iuliia was awarded the EPFL fellowship to conduct her doctoral research. She is a winner of the Google Anita Borg scholarship and was the Google Ambassador at KTH (2012-2013). She obtained a Masters Diploma in Distributed Computing (2013) from KTH, Stockholm, Sweden, and UPC, Barcelona, Spain. For her Master's thesis, she designed and implemented a unique real-time, low-latency, reliable, and strongly consistent distributed data store for the stock exchange environment at NASDAQ OMX. Previously, she has obtained Master's and Bachelor's Diplomas with honors in Computer Science from the National Technical University of Ukraine KPI. This Master's thesis was about fuzzy portfolio management in previously uncertain conditions. This period was productive for her in terms of publications and conference presentations. During her studies in Ukraine, she obtained several scholarships. During her stay in Kiev, Ukraine, she worked as Financial Analyst at Alfa Bank Ukraine.