Book Image

Mastering Kibana 6.x

By : Anurag Srivastava
Book Image

Mastering Kibana 6.x

By: Anurag Srivastava

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

Chapter 1. Revising the ELK Stack

Although this book is about Kibana, it doesn't make any sense if we are not aware of the complete Elastic Stack (ELK Stack), including Elasticsearch, Kibana, Logstash, and Beats. In this chapter, you are going to learn the basic concepts of the different software, installation, and their use cases. We cannot use Kibana to its full strength unless we know how to get proper data, filter it, and store it in a format that we can easily use in Kibana.

Elasticsearch is a search engine that is built on top of Apache Lucene, which is mainly used for storing schemaless data and searching it quickly. Logstash is a data pipeline that can practically take data from any source and send data to any source. We can also filter that data as per our requirements. Beats is a single-purpose software that is used to run on individual servers and send data to the Logstash server or directly to the Elasticsearch server. Finally, Kibana uses the data that's stored in Elasticsearch and creates beautiful dashboards using different types of visualization options, such as graphs, charts, histograms, word tags, and data tables

In this chapter, we will be covering the following topics:

  • What is ELK Stack?
  • The installation of Elasticsearch, Logstash, Kibana, and Beats
  • ELK use cases