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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

Extending Kibana

When you set up Elastic Stack for your environment, you sense the needed changes in the stack to fulfill your requirements. For most of the cases, changes done at Elasticsearch are minimum as compared to rest of the components. Kibana being the face of the stack undergoes maximum changes. If nothing complex, your client (in case you are a service provider) would like to customize the UI to match their company's website look.

There are ways in which Kibana can be customized and extended-we can write Kibana plugins, create new visualizations, modify the source, and so on. To do any of these, you must be familiar with HTML, CSS, Javascript, Node.js, AngularJS, and probably relevant library to be used for charts and visualizations. Kibana is basically a Node.js app, thus knowing Node.js will help greatly to understand and customize Kibana.

In this section, we will develop a plugin that changes the appearance of the Kibana UI. For our use case, we will keep it simple and...

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