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

About the Author

Bahaaldine Azarmi, Baha for short, is a Solutions Architect at Elastic. Prior to this position, Baha co-founded reachfive, a marketing data-platform focused on user behavior and social analytics. Baha also worked for different software vendors such as, Talend or Oracle, where he held the positions of Solutions Architect and Architect. Before Learning Kibana 5.0, Baha authored books such as Scalable Big Data Architecture, by Apress and Talend for Big Data, by Packt Publishing. Baha is based in Paris and has a Master's Degree in computer science from Polytech'Paris.

There are a few people I would like to acknowledge, as this book is not just me writing chapters but the work of many folks from Elastic regrouped into one book:

  • Alan Hardy, EMEA Director of Solutions Architecture, for his mentoring, support, and for his excellent review

  • Steve Mayzak, VP of Solutions Architecture, for supporting innovation in the SA team and me writing this book :-)

  • Christian Dahlqvist, Solution Architect, for providing the Apache web logs demo used in Chapter 4Logging Analytics with Kibana 5.0

  • Rich Collier, Steve Dodson, and Sophie Chang, respectively Solutions Architect, Machine Learning Tech, and Team Lead, for helping me to understand the concept of anomaly detection and providing the demo used in Chapter 8, Anomaly Detection in Kibana 5.0

  • Court Ewing and Spencer Alger, respectively Tech Lead and Javascript Developer, and actually, the whole Kibana team, for answering all my questions!