Book Image

Learning Storm

By : Ankit Jain, Anand Nalya
Book Image

Learning Storm

By: Ankit Jain, Anand Nalya

Overview of this book

<p>Starting with the very basics of Storm, you will learn how to set up Storm on a single machine and move on to deploying Storm on your cluster. You will understand how Kafka can be integrated with Storm using the Kafka spout.</p> <p>You will then proceed to explore the Trident abstraction tool with Storm to perform stateful stream processing, guaranteeing single message processing in every topology. You will move ahead to learn how to integrate Hadoop with Storm. Next, you will learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, and Kafka to realize the full potential of Storm.</p> <p>Finally, you will perform in-depth case studies on Apache log processing and machine learning with a focus on Storm, and through these case studies, you will discover Storm's realm of possibilities.</p>
Table of Contents (16 chapters)
Learning Storm
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Starting to use the Storm UI


This section will show you how we can start the Storm UI daemon. However, before starting the Storm UI daemon, we assume that you have a running Storm cluster. The Storm cluster deployment steps are mentioned in Chapter 2, Setting Up a Storm Cluster. Now, go to the Storm home directory (cd $STORM_HOME) at the Nimbus machine and run the following command to start the Storm UI daemon:

bin/storm ui

By default, the Storm UI starts on the 8080 port of the machine where it is started. Now, we will browse to the http://nimbus-node:8080 page to view the Storm UI, where nimbus-node is the IP address or hostname of the Nimbus machine.

The following is a screenshot of the Storm home page:

The home page of the Storm UI