In this chapter, we will cover other important features of Kibana, including Timelion and Dev Tools. We will cover how to use Timelion for time-series data and create different graphs by chaining different functions. Timelion provides us with flexibility, by means of which we can club data from different indices together to plot them on a graph. Using Timelion, we can get some interesting answers to questions that are difficult to answer—such as the difference between the data this Sunday and last Sunday—using default visualizations of Kibana. We can also compare the current data with older data, such as four-hour old data or one-week old data. We can plot on the basis of the moving average over a certain duration; it provides us with a smooth graph if the data plot is not easy to understand. Using Timelion trends, we can plot the trend of data...

Kibana 7 Quick Start Guide
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Kibana 7 Quick Start Guide
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Overview of this book
The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential.
This book covers the core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding.
Table of Contents (9 chapters)
Preface
Introducing Kibana
Getting Data into Kibana
Visualizing Data
X-Pack with Machine Learning
Monitoring Applications with APM
Kibana Advanced Tools
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