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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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Toc

Table of Contents (21) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
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 1. Other Books You May Enjoy Index

Chapter 13. Creating Monitoring Dashboards Using Beats

In the last chapter, we covered the dashboard creation using Logstash, where we were pulling the data from RDBMS and pushing it to the Elasticsearch cluster. After that, we were showing the dashboard in Kibana by reading the Elasticsearch data. In this chapter, we will cover dashboard creation using Elastic Beats, which also provides us with the option to import built-in dashboards.

There are different Beats that provide us with metrics from different servers, such as the following:

  • Packetbeat: This gives us the details about the network packets. It is a lightweight network packet analyzer that sends packet data to Logstash or Elasticsearch.
  • Filebeat: Filebeat is used to send file data , such as logs. It runs on the server and periodically checks for any change in the log file; when there is any change, it sends the log to Logstash or Elasticsearch.
  • Metricbeat: This is used to collect metrics for memory usage, CPU usage and disk space, and...
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