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

Summary


In the first two chapters, we primarily focused on how to set up the local mode and the distributed mode of Storm cluster. You also learned how we can develop and deploy the topology on a Storm cluster.

In this chapter, we mainly concentrated on different ways of monitoring the Storm cluster. We began by starting the Storm UI and covered how we can monitor the topology using the Storm UI. We also walked through the Nimbus thrift client and covered sample examples that demonstrate how we can collect the Storm cluster's details using the Nimbus thrift client.