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

Summary

In this chapter, we learned about Kibana spaces and graphs; these are two very important features in Kibana. We started with Kibana spaces and learned how they can be used to separate saved objects and dashboards from different users. Then, we discovered how to create a space, edit it, and then delete it. Following this, we looked at how to switch between different spaces.

After that, we explored how to move saved objects between spaces and how to restrict space access by creating roles. Then, we looked at graphs; we were introduced to Kibana graphs and learned how to create a graph. After graph creation, we used the example of the popular-baby-names index and explained how to analyze relationships using a Kibana graph.

In the next chapter, we will cover Elastic features in more detail. We will cover security, monitoring, reporting, alerting, and other features that provide...