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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

Exploring Dev Tools


Dev Tools refers to the development tools that aid the developer. In Kibana, it is used for the Console UI, which provides a simple yet clean interface to access API queries using the REST API exposed by the Elasticsearch client. Console allows us to make any API call from a web browser. Its interface gives us a clean way to make a call and generates JSON in a pretty print format, which allows you to view results in a neat way. It works on top of an HTTP layer of an Elasticsearch cluster.

Upon clicking Dev Tools, you will be greeted with the Console UI, as shown in the following screenshot:

For a better understanding all of the available options are marked in the screenshot from number 1 to 7, which are described this section:

  1. Editor Pane: This is the area where we write our request. It uses commands in cURL similar syntax and presents it in a simpler way. For example, by default, a query displayed in Console is:

            GET _search 
            { 
              "query...
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