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Building Python Real time Applications with Storm

You're reading from Building Python Real time Applications with Storm Learn to process massive real-time data streams using Storm and Python—no Java required!

Product type Paperback

Published in Dec 2015

Publisher

ISBN-13 9781784392857

Length 122 pages

Edition 1st Edition

Languages

Python

Tools

Storm

Concepts

Application Development

Table of Contents (9) Chapters

Preface

1. Getting Acquainted with Storm FREE CHAPTER

2. The Storm Anatomy

3. Introducing Petrel

4. Example Topology – Twitter

5. Persistence Using Redis and MongoDB

6. Petrel in Practice

A. Managing Storm Using Supervisord

Index

Summary

In this chapter, we saw how distributed Storm processes running over multiple machines can be managed using the supervisord process. There are many options available in supervisord, such as autostart=true. If we set this option for any Storm process, it also increases the reliability of the overall system and manages failure of Nimbus.

The rest of the chapter is locked

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