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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (13 chapters)
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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:

Exploring Dev Tools

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 
     ...
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