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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

Logstash configuration file

Configuration file is the key to run Logstash. As Logstash requires the configuration file to be created/updated it is important to have an efficient and flexible configuration that can be easily changed as and when required. Let's have a look at some of the best practices that we should follow.

Categorizing multiple sources of data

When you have multiple different sources of data that you want to gather and uncover insights from them, it is best to categorize each source of data by adding a type to each of the different sources.

We can take a look at the following example:

input { 
   file { 
      path => "/path/to/directory/" 
      type => "datanode" 
   } 
    file { 
      path => "/path/to/directory/" 
      type => "hbase" 
} 
    file { 
      path => "/path/to/directory/" 
      type => "yarn" 
   } 
} 

When you add a type, you can use different filters and output based on...

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