Book Image

Learning Kibana 5.0

By : Bahaaldine Azarmi
Book Image

Learning Kibana 5.0

By: Bahaaldine Azarmi

Overview of this book

Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. In this book, you’ll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it’s logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project. You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin. By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization.
Table of Contents (17 chapters)
Learning Kibana 5.0
About the Author
About the Reviewers
Customer Feedback

Chapter 3.  Business Analytics with Kibana 5.0

At this point, you should have the Elastic Stack installed and be able to start creating dashboards and visualizations. We will focus on the logging analytics use case in this chapter and dig into two examples: the Paris accidentology, which gives insights into traffic accidents in Paris; and server logging analytics, which gives insights into traffic over an Apache server.

The main topics we are going to see in this chapter are:

  • How to import data in Elasticsearch with Logstash

  • Building a Kibana dashboard from end to end

  • Analyzing business data in Kibana

As a quick introduction to this chapter, I would like to devote few lines to the following question: What is a log?

A log is an event that contains a timestamp and a description of the event itself. It is appended to a journal or log file sequentially, and in which all lines of logs are ordered based on the timestamp. As an example, here is an Apache server log: - - [28/May/2014:16...