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Learning Kibana 7 - Second Edition

By Anurag Srivastava , Bahaaldine Azarmi
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  1. Free Chapter
    Section 1: Understanding Kibana 7
About this book

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.

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.

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.

Publication date:
July 2019
Publisher
Packt
Pages
280
ISBN
9781838550363

 

Section 1: Understanding Kibana 7

In this section, we will start with a basic introduction to the Elastic Stack and then discuss what's new in Elastic Stack 7. We will then cover the installation process of the Elastic Stack. By the end of this section, we will know how we can create an index pattern in Kibana.

The following chapters will be covered in this section:

  • Chapter 1, Understanding Your Data for Kibana
  • Chapter 2, Installing and Setting Up Kibana
About the Authors
  • Anurag Srivastava

    Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.

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  • Bahaaldine Azarmi

    Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.

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