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

Business use case - Paris accidentology

You might wonder why I took Paris accidentology to illustrate the logging analytics use case. Well, I want to break into pieces the unfair reputation that sometimes sticks in people's minds when it comes to visualization with Kibana. Kibana is a visualization application; it's not only meant to be used by IT operations teams to monitor their application's health.

The name of the use case you are dealing with is just an abstraction that defines the use profile over your data. You can do logging analytics and actually deal with healthcare data, and do application monitoring with the same logs. It just depends on the nature and content of your data, also on the use profile of your visualization. If I put on my security hat, then I'll do security analytics on top of the ingested logs.

The Paris accidentology use case will help us to go through most of the visualizations and features that Kibana offers to implement logging analytics.

Data modeling - entity...