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Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar
4.5 (10)
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Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

4.5 (10)
By: Pranav Shukla, Sharath Kumar

Overview of this book

The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.
Table of Contents (12 chapters)
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Kibana UI


Open up Kibana from the browser using the http://localhost:5601 URL. The landing page will look as follows:

User interaction

Let's understand the user interaction before diving into the core components of Kibana. A typical user interaction flow is as depicted in the following diagram:

The following points will give you a clear idea of user interaction flow in Kibana:

  • Prior to using Kibana for data analysis, the user would have already loaded the data in Elasticsearch.
  • In order to analyze the data using Kibana, the user has to first make Kibana aware of the data stored in ES indexes. So the user would need to configure the indexes on which he wants to perform analysis.
  • Once configured, the user has to find out the data structure, such as the fields present in the document and the type of fields present in the document, and explore the data. This is done so that he can decide how he can visualize this, and what type of questions he wants to pose and find answers for in terms of the data...

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