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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (13 chapters)
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Exploring Output Plugins


The output plugin is used to send data to a destination. It acts as the final section required in the Logstash configuration file. Some of the most used output plugins are as follows.

stdout

This is a fairly simple plugin, which outputs the data to the standard output of the shell. It is useful for debugging the configurations used for the plugins. This is mostly used to validate whether Logstash is parsing the input and applying filters (if any) properly to provide output as required.

The basic configuration for stdout is as follows:

stdout { 
} 

In this plugin, no settings are mandatory. The additional configuration settings are as follows:

  • codec: This is used to encode the data before sending it as an output. You can use codec as JSON to display the output data in JSON format, or use codec as rubydebug to display the output data using the Ruby Awesome Print library.

  • workers: This is used to define the number of threads that will process the packets for output...

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