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

GeoIP for Elastic Stack


GeoIP is a great feature, using which we can take beat data, normal log files, or any Logstash data and transform them with geo-locations. After transformation, we can use that data to plot a map in Kibana. We can easily get information like from where users are accessing our website.

If we are getting the IP address or hostname in the request, this information can be transformed into a latitude and longitude point, using which we can get more insight about the data.

Ingest node

We can use the ingest node for preprocessing the document before document indexing. It first applies the transformations and then pushesthe document for indexing. All nodes are enabled by default for the ingest process, so they all can handle the ingest task.

If we want to preprocess any documents before indexing them, we need to first define a pipeline with a series of processors that can transform the document. We have the following ingest APIs:

  • Put Pipeline API: Using this API, we can add or...