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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 Logstash

There are two ways to extend Logstash: either by modifying the core or adding one more plugin to its repository. As we have already learned, there are four types of plugins - Input, Output, Filter, and Codec. Generating plugin in Logstash is very easy and needs only one command to be run; the generated plugin needs only our custom logic for it to be implemented.

Logstash plugins are written in Ruby programming language (http://www.ruby-lang.org/en/). These plugins are actually ruby gems. To be able to write effective gems, you should be familiar with Ruby.

In this section, we will develop our own input plugin, which will fetch data from a web service. The complete code of the plugin is available at GitHub at https://github.com/kravigupta/mastering-elastic-stack-code-files/tree/5.1.1/Chapter07/logstash-input-weather. The purpose of this exercise is to learn how a plugin can be generated and customized to serve the purpose, along with understanding of structure of the plugin...

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