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
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface

Technical use case - system monitoring with Metricbeat


Metricbeat is way more than just a system metric shipper. It has an extensible module architecture that comes with out-of-the-box-modules, as illustrated in the following diagram:

Metricbeat architecture

As shown in the preceding diagram, Metricbeat is capable of shipping metrics from web servers (Apache, Nginx), databases (MongoDB, MySQL, postgresql), and even Redis or Zookeeper. Furthermore, Elastic provides online documentation for developers who want to create their own Metricbeat, so one can easily extend the out-of-the-box features.

In this book, we'll use the system module, which comes as the default configuration of Metricbeat. You will be able to monitor your computer or laptop and visualize the data in Kibana 5.0. This is just an example of what you will be able to do with Metricbeat. If you think on a larger scale, you can imagine distributing Metricbeat shippers all over a datacenter, using a centralized Kibana instance to...