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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

Exploring Filter Plugins


A filter plugin is used to perform transformations on the data. If your input fetches data based on what you want to process the data, then a filter plugin will help you to do so before sending the output. It acts as the intermediate section between input and output, which is required in the Logstash configuration file.

Let's have a look at few of the filter plugins.

grok

The grok plugin is the most commonly used filter in Logstash and has powerful capabilities to transform your data from unstructured to structured data. Even if your data is structured, you can streamline the data using this pattern. Due to the powerful nature of the grok pattern, Logstash is referred to as a Swiss Army Knife. Grok is used to parse the data and structure the data in the way you want. It is used to parse any type of log that is in human-readable format. It combines the text patterns into a structure that helps you to match the logs and group them into fields. Logstash ships with more...

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