Book Image

Mastering Kibana 6.x

Book Image

Mastering Kibana 6.x

Overview of this book

Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Creating the dashboard


Now that we have created the visualizations, we can create the dashboard using these visualizations. To create the dashboard, we need to click on the Dashboard link from the left menu, which will open the following screen:

This will show an empty screen with a Create a dashboard button, since we haven't created any dashboards yet. When we create dashboards, this screen will list the name and links of those dashboard along with a create dashboard link. Now we need to click on the Create a dashboard button, which will open the following screen:

This screen shows an empty page with a message that states, This dashboard is empty. Let's fill it up! To fill the visualizations, we need to click on the Add link from the top-right corner of the page. This will open the following screen:

 

This screen shows the list of visualizations that we have already created. Now we can pick the visualizations by clicking on them. For example, when I click on the log count visualization link...