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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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Visualizing with Kibana

Now when you verify that your data is indexed successfully in Elasticsearch, we can go ahead and look at the Kibana interface to get some useful analytics from the data.

Running Kibana

As described in the previous chapter, we will start the Kibana service from the Kibana installation directory.

$ bin/kibana

Now, let's see Kibana up and running similar to the following screenshot on the browser, by going to the following URL:

http://localhost:5601

Running Kibana

Kibana Discover page

As we already set up Kibana to take logstash-* indexes by default, it displays the indexed data as a histogram of counts, and the associated data as fields in the JSON format.

First of all, we need to set the date filter to filter based on our date range so that we can build our analysis on the same. Since we took data from July 1, 2014 to December 31, 2014, we will configure our date filter for the same.

Clicking on the Time Filter icon at the extreme top-right corner, we can set an Absolute Time Filter...

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