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

Plugin release management

Release management is a crucial feature of Kibana extensions, as a plugin might not work from Kibana release to release: the Kibana plugin API is not stable yet so the API could be subject to changes and therefore does not guarantee backward compatibility. So, you need to keep track of new Kibana releases and update your plugin accordingly. This means that your users should be able to easily find the proper extension version on your repository. To do that, we'll first start by tagging our code base.

Tagging our code base and creating a release

To identify a specific version of our code, we'll use the concept of tags in Git. To do so we need to tag our code base as follows:

    git tag <tagname>

Remember that we want our extension version to be aligned with the Kibana version as well. That is why, at the time of writing this book, if you check my repository tag, you will see that I've tagged the code as v5.0.0-beta1:

Timelion-google-analytics repository available...