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

Chainable methods


There are various methods in Kibana Timelion that can be used as chainable method, which means we can add them to any method by placing a dot and then the method name. Many of them are used for different calculations, which we can perform on Elasticsearch index data. We can perform different calculations such as sum, average, min, and max using Timelion and it is very useful for applying them to create the visualization. Using the data of the Elasticsearch index, we can do the calculations and transform the data to create different visualizations. Next, we will discuss the available chainable methods.

.sum()

We can use the .sum() method in a scenario where we want to combine certain metrics such as to calculate the total amount of memory usage for the server using the metric argument:

.es(metric='sum:system.memory.used.bytes')

Here, we are combining the system memory used in bytes metric:

The sum function can be useful for all these types of scenarios where we are trying to...