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You're reading from Monitoring Elasticsearch

Product typeBook

Published inJul 2016

PublisherPackt

ISBN-139781784397807

Edition1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (3):

Dan Noble

Pulkit Agrawal

Mahmoud Lababidi

View More author details

Working with Logstash and Kibana

Logstash is a utility for aggregating and normalizing log files from disparate sources and storing them in an Elasticsearch cluster. Once logs are stored in Elasticsearch, we will use Kibana, the same tool Marvel's user interface is built on, to view and explore our aggregated logs.

ELK

The Elasticsearch community refers to the Elasticsearch, Logstash, and Kibana tool combination as the ELK stack. This section shows how to load NGINX server logs into ELK, but there are many other potential use cases for these technologies.

ELK can help us explore NGINX server logs by:

Visualizing server traffic over time
Plotting server visits by location on a map
Searching logs by resource extension (HTML, JS, CSS, and so on), IP address, byte count, or user-agent strings
Discovering web requests that result in internal server errors
Finding attackers in a distributed denial of service attack

Other uses for ELK include:

Logging all Elasticsearch queries in a web application for future...

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Monitoring Elasticsearch

Published in: Jul 2016Publisher: PacktISBN-13: 9781784397807

Authors (3)

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.
Read more about Dan Noble

Pulkit Agrawal

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You're reading from Monitoring Elasticsearch

Working with Logstash and Kibana

ELK

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