Book Image

Mastering Kibana 6.x

Book Image

Mastering Kibana 6.x

Overview of this book

Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana’s Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities.
Table of Contents (21 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, we covered different best practices that we should follow for Elastic Stack. This is quite a general approach, and it may be possible that this practice is not related to the type of architecture you have, so it is quite important to understand the architecture of your Elastic Stack. Apart from that, apply the best practices as per your data size and the environment you are using.

For example, your Kibana setup is working on a production environment and everything is working fine, and now you suddenly make some changes to your Kibana configuration settings from the Management tab, and it breaks everything. So, to avoid these situations, you need to test any configuration changes on the test environment first.

We also covered the issue of sparsity and how it can consume memory even when your document field has no data. Then, we discussed different ways to reduce sparsity such as avoiding unrelated data in the same index, normalizing the document, and avoiding different...