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Kibana 7 Quick Start Guide

Kibana 7 Quick Start Guide

By : Srivastava
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Kibana 7 Quick Start Guide

Kibana 7 Quick Start Guide

By: 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)
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Configuring Beats to get data

Here, we'll cover how to configure different Beats to get data, such as using Filebeat to capture file data, Metricbeat to capture system metrics data, and Metricbeat to capture network packet data. Using Beats in this way means we can start getting data, as these Beats are installed on a machine from where we want to capture the data, and once they're configured, they allow you to capture the data from the machine and send it to an Elasticsearch cluster directly or via Logstash. Beats are basically lightweight data shippers built for a specific purpose. There are different types of Beats, such as Packetbeat, Filebeat, Metricbeat, Auditbeat, Heartbeat, and Winlogbeat. The following diagram shows how these Beats are sending data to a central Elasticsearch Cluster:

In the preceding diagram, we have Filebeat, which is reading log data from...

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