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 Kibana Discover and how we can explore data using Discover. We discussed how to discover your data using the different options provided in Kibana Discover, such as how to limit the number of fields to display in order to focus on the dataset, which is more relevant than the other fields. Then, we saw how to expand a document display to check all available fields, along with the option to view the surrounding documents and a single document. From this screen, we can apply a filter on any field. Then, we covered different ways to dissect the data, such as filtering the data by applying the time-based filter, filtering the data based on different document fields, and applying a query on your dataset. We explored how to save the search data so that the search data and filter options are available for reuse. After saving the search data, we can export...