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

Using Prelert for operational analytics

In this section, we'll use what we learned in Chapter 5, Metric Analytics with Metricbeat and Kibana 5.0 and apply it to Prelert. The idea is to use Metricbeat to generate system data and analyze the CPU utilization, as well as to detect anomalies. We'll run Metricbeat on our machines; you can do the same on a different machine, if you have some on Amazon, for instance. Wherever you do it, we'll also run a stress tool to generate CPU utilization, just to facilitate the demo so that we are sure that we have the anomalies.

The first thing to do is download Metricbeat, install it, and import Kibana dashboards, as shown in Chapter 5, Metric Analytics with Metricbeat and Kibana 5.0; refer to this chapter for more details. Once installed, run Metricbeat and start generating data.

Setting up Prelert

At the time of writing, only four weeks have passed since Prelert was acquired by Elastic, which means that the integration of Prelert in Elastic Stack is still...