Book Image

Apache Kafka 1.0 Cookbook

By : Alexey Zinoviev, Raúl Estrada
Book Image

Apache Kafka 1.0 Cookbook

By: Alexey Zinoviev, Raúl Estrada

Overview of this book

Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface

Configuring a multiple-node multiple-broker cluster – MNMB


Finally, the third cluster configuration is multiple-node multiple-broker (MNMB). This cluster is used when there are several nodes and one or many brokers per node.

Getting ready

Go to the Kafka installation directory (/usr/local/kafka/ for macOS users and /opt/kafka/ for Linux users):

> cd /usr/local/kafka

How to do it...

The following diagram shows an example MNMB cluster:

Here we are presented with the real power of the cluster. In this cluster, Kafka should be installed on every machine in the cluster. Here, every physical server could have one or many brokers; all the nodes on the same cluster should connect to the same ZooKeeper.

How it works...

The good news is that all the commands in the previous recipes remain the same. The commands for ZooKeeper, the broker, producer, and consumer, don't change.

See also