Book Image

Kibana 7 Quick Start Guide

By : Anurag Srivastava
Book Image

Kibana 7 Quick Start Guide

By: Anurag Srivastava

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)

Summary

In this chapter, we covered how to visualize the data once it is available in Kibana, after creating the index pattern. We started with basic charts, where we covered creating chart such as the area chart, heat map, and pie charts, and so on. We also covered how we can transform one type of chart into another by giving examples of an area chart, line chart, and bar chart; in the same way, we can change a pie chart into a donut, or vice versa. After that, we have covered data tables, using which we can generate a tabular visualization of data, to which we can add additional metrics columns, along with actual data columns. Then, we covered the metric type of visualization, where we can display some metric value, and tag cloud, which can be used to display a word cloud with a link to filter the data.

We covered dashboard creation by integrating visualizations and arranging...