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Monitoring Elasticsearch

You're reading from Monitoring Elasticsearch

Product type Paperback

Published in Jul 2016

Publisher Packt

ISBN-13 9781784397807

Length 180 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (3):

Dan Noble

Pulkit Agrawal

Mahmoud Lababidi

View More author details

Table of Contents (10) Chapters

Preface

1. Introduction to Monitoring Elasticsearch FREE CHAPTER

2. Installation and the Requirements for Elasticsearch

3. Elasticsearch-head and Bigdesk

4. Marvel Dashboard

5. System Monitoring

6. Troubleshooting Performance and Reliability Issues

7. Node Failure and Post-Mortem Analysis

8. Looking Forward

Index

Summary

This chapter gave you an overview of Elasticsearch and why it's important to proactively monitor a cluster. To summarize the points from the chapter:

Elasticsearch is an open source scalable, fast, and fault-tolerant search engine
Elasticsearch is built on top of Apache Lucene, the same library that powers Apache Solr
Monitoring tools will help us get a better understanding of our cluster and will let us know when problems arise
As helpful as monitoring tools are, it's up to us to actually diagnose and fix cluster issues

In the next chapter, we'll cover how to get a simple Elasticsearch cluster running and loaded with data, and how to install several monitoring tools.

You have been reading a chapter from

Monitoring Elasticsearch

Published in: Jul 2016

Publisher: Packt

ISBN-13: 9781784397807

© 2016 Packt Publishing Limited All Rights Reserved

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Authors (3)

Dan Noble

Dan Noble

About the Author Dan is a software engineer with a passion for writing secure, clean, and articulate code. He enjoys working with a variety of programming languages and software frameworks, particularly Python, Elasticsearch, and frontend technologies. Dan currently works on geospatial web applications and data processing systems. Dan has been a user and advocate of Elasticsearch since 2011. He has given talks about Elasticsearch at various meetup groups, and is the author of the Python Elasticsearch client “rawes.” Dan was also a technical editor for the Elasticsearch Cookbook, Second Edition, by Alberto Paro (ISBN: 1783554835). Acknowledgements I would like to thank my beautiful wife, Julie, for putting up with me while I wrote this book. Thanks for supporting me every step of the way. I would also like to thank my friends and colleagues James Cubeta, Joe McMahon, and Mahmoud Lababidi, who shared their insight, time, and support. I would like to give a special thanks to Abe Usher – you have been an incredible mentor over the years. Finally, thanks to everyone at Packt Publishing for helping to make this book happen. A special thanks to Merint Mathew, Sonali Vernekar, Husain Kanchwala, and Amey Varangaonkar for your valuable and careful feedback.

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Lababidi

Lababidi

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Agrawal

Agrawal

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