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)

Configuring Logstash to get data

In the previous section, we covered how to get data in Elasticsearch using different Beats. They're easy to install, configure, and then you can start receiving data from the server. Sometimes we need to do more than just configure a specific, single-purpose Beats that sits on the server and sends data to an Elasticsearch cluster and for the Logstash that's there. Logstash is a data pipeline we can use to configure input to take data from multiple types of data sources, such as files, databases, CSV, or Kafka, and after taking the input, we can configure the output to send data on different sources, such as files, databases, Kafka, or Elasticsearch. Another important feature of Logstash is filter, using which we can transform the input data before sending it to the output. Let's check out a Logstash configuration format: