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Monitoring Elasticsearch

You're reading from   Monitoring Elasticsearch

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781784397807
Length 180 pages
Edition 1st Edition
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Authors (3):
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Dan Noble Dan Noble
Author Profile Icon Dan Noble
Dan Noble
Pulkit Agrawal Pulkit Agrawal
Author Profile Icon Pulkit Agrawal
Pulkit Agrawal
Mahmoud Lababidi Mahmoud Lababidi
Author Profile Icon Mahmoud Lababidi
Mahmoud Lababidi
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Toc

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...
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