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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

Walkthrough of 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 the previous sections of this chapter. Now, go to the Storm home directory (cd $STORM_HOME) at the leader Nimbus machine and run the following command to start the Storm UI daemon:

$> cd $STORM_HOME
$> 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 the Nimbus machine.

The following is a screenshot of the Storm home page:

Cluster Summary section

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