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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

Summary


This chapter concludes the Elasticsearch APIs. Being a very vast topic, not all of the APIs can be covered, but we have got the gist of how these APIs work and help us to manage the Elasticsearch cluster, nodes, and indices or even make a search for documents. When you are working with Kibana, the same things can be done using the Console. There are many REST-based clients developed for Elasticsearch for numerous languages and platforms that use http protocol and we have been learning that since Chapter 2, Stepping into Elasticsearch. This chapter also covered the other side of the story - using Transport Client with the help of the Java API.

The next chapter is going to focus on the customization of Elastic Stack using plugins. Plugins give us a good amount of control on the functionalities and we get a liberty to implement what is not present or mend what is present to make it work for us. We will be learning the way we can create new plugins and customize the stack.

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