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You're reading from  Learning ELK Stack

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Published inNov 2015
Publisher
ISBN-139781785887154
Edition1st Edition
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Author (1)
Saurabh Chhajed
Saurabh Chhajed
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Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
Read more about 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

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 based...

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Learning ELK Stack
Published in: Nov 2015Publisher: ISBN-13: 9781785887154

Author (1)

author image
Saurabh Chhajed

Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in. Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
Read more about Saurabh Chhajed