Book Image

Learning Kibana 7 - Second Edition

By : Anurag Srivastava, Bahaaldine Azarmi
Book Image

Learning Kibana 7 - Second Edition

By: Anurag Srivastava, Bahaaldine Azarmi

Overview of this book

<p>Kibana is a window into the Elastic Stack that enables the visual exploration and real-time analysis of your data in Elasticsearch. This book will help you understand how you can use Kibana 7 for rich analytics and data visualization. </p><p>If you’re new to the tool or want to get to grips with the latest features introduced in Kibana 7, this book is the perfect beginner's guide. You’ll learn how to set up and configure the Elastic Stack and understand where Kibana sits within the architecture. As you advance, you’ll learn how to ingest data from different sources using Beats or Logstash into Elasticsearch, followed by exploring and visualizing data in Kibana. Whether working with time-series data to create complex graphs using Timelion or embedding visualizations created in Kibana into your web applications, this book covers it all. It also covers topics that every Elastic developer needs to be aware of, such as installing and configuring application performance monitoring (APM) servers and agents. Finally, you’ll also learn how to create effective machine learning jobs in Kibana to find anomalies in your data. </p><p>By the end of this book, you’ll have a solid understanding of Kibana, and be able to create your own visual analytics solutions from scratch.</p>
Table of Contents (16 chapters)
Free Chapter
1
Section 1: Understanding Kibana 7
4
Section 2: Exploring the Data
7
Section 3: Tools for Playing with Your Data
10
Section 4: Advanced Kibana Options

To get the most out of this book

In this book, you will need to download and install the Elastic Stack, specifically, Elasticsearch, Kibana, Beats, Logstash, and APM. All the software is available from http://www.elastic.co/downloads. The Elastic Stack can be run on various environments on different machines and setups. The support matrix is available at https://www.elastic.co/support/matrix.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packt.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Learning-Kibana-7-Second-Edition. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "For CentOS and older Red Hat-based distributions, we can use the yum command".

A block of code is set as follows:

input {
file {
path => "/home/user/Downloads/Popular_Baby_Names.csv"
start_position => beginning
}
}

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

elasticsearch {
action => "index"
hosts => ["127.0.0.1:9200"]
index => "Popular_Baby_Names"
}

Any command-line input or output is written as follows:

unzip elasticsearch-7.1.0-windows-x86_64.zip
cd elasticsearch-7.1.0/

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Now, we need to click on the Next step button."

Warnings or important notes appear like this.
Tips and tricks appear like this.