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

Console


Kibana Dev Tools is a development tool that can be used to interact with the Elasticsearch index. In Dev Tools, we have a screen with a console plugin. Console plugin has UI through which we can interact with Elasticsearch using REST API. Console UI has the following two blocks:

  • Editor: We can request the Elasticsearch cluster through statements or queries using the REST API
  • Response pane: This shows the response of the Elasticsearch request:

 

In the previous screen, we can see the left and right block. The left block is a request editor where we can write the Elasticsearch queries, and the right block is a response pane on which we can get the response from Elasticsearch.

The request editor provides the feature of syntax completion, as seen in the following screen:

 

As shown in the preceding screenshot, when we started typing _sea, the suggestion box opened with different options. From these options, we can pick the value we want to use for the Elasticsearch query. Auto-suggest is a...