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Learning ELK Stack

You're reading from   Learning ELK Stack Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785887154
Length 206 pages
Edition 1st Edition
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Author (1):
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Saurabh Chhajed Saurabh Chhajed
Author Profile Icon Saurabh Chhajed
Saurabh Chhajed
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Toc

Configuring Logstash input


In this section, we'll configure Logstash to read data from access logs located on Tomcat, and index it in Elasticsearch, making filters and tokenization of terms in logs as per the grok pattern.

Grok pattern for access logs

As we already saw, some of the commonly used grok patterns are already included with the Logstash installation. Check out the list of Logstash grok patterns on GitHub at https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns.

There is already a grok pattern for the Common Apache log format in the Logstash installation as follows:

COMMONAPACHELOG %{IPORHOST:clientip} %{USER:ident} %{USER:auth} \[%{HTTPDATE:timestamp}\] "(?:%{WORD:verb} %{NOTSPACE:request}(?: HTTP/%{NUMBER:httpversion})?|%{DATA:rawrequest})" %{NUMBER:response} (?:%{NUMBER:bytes}|-)

We can directly use COMMONAPACHELOG as a matching pattern for our incoming messages to Logstash as follows:

input{
file{
path =>"/var/lib/tomcat7/logs/localhost_access_logs.txt...
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