Book Image

Mastering Kibana 6.x

Book Image

Mastering Kibana 6.x

Overview of this book

Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Setting up the stage


In the previous chapter, we discussed the basics of Elastic Stack and its installation, but after the installation, we need to understand the process of creating different visualizations in Kibana. So, I am going to create our first demonstration for working with Kibana in which I will cover the complete flow through which you will be able to understand how Kibana can read log data and create beautiful dashboards from bulky, unorganized log files. For this demonstration, I am going to use Apache log data, and to get that data, we will follow these steps:

  1. Configure Logstash to fetch data from the Apache log file
  2. Output the log data into Elasticsearch
  3. Configure Kibana to read the Elasticsearch index
  4. Create demo visualizations with Apache log data

Configuring Logstash to fetch data from the Apache log file

The Apache web server is widely used for serving different websites worldwide, and by monitoring this data, we can solve different issues in our web applications. However,...