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Mastering Kibana 6.x

You're reading from   Mastering Kibana 6.x Visualize your Elastic Stack data with histograms, maps, charts, and graphs

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788831031
Length 376 pages
Edition 1st Edition
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Author (1):
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Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
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Table of Contents (16) Chapters Close

Preface 1. Revising the ELK Stack FREE CHAPTER 2. Setting Up and Customizing the Kibana Dashboard 3. Exploring Your Data 4. Visualizing the Data 5. Dashboarding to Showcase Key Performance Indicators 6. Handling Time Series Data with Timelion 7. Interact with Your Data Using Dev Tools 8. Tweaking Your Configuration with Kibana Management 9. Understanding X-Pack Features 10. Machine Learning with Kibana 11. Create Super Cool Dashboard from a Web Application 12. Different Use Cases of Kibana 13. Creating Monitoring Dashboards Using Beats 14. Best Practices 15. Other Books You May Enjoy

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...
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