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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 command-line options


There are various command-line options to use with Logstash. The various command-line options can be viewed using the following command:

bin/logstash --help

This displays various options, which are described here.

To specify the name of Logstash instance:

bin/logstash --node.name NODENAME

To run Logstash using a configuration file or directory containing configuration files, use the following commands:

    bin/logstash -f CONFIGPATH

Or use the following command:

    bin/logstash --path.config CONFIGPATH

To run Logstash by specifying the configuration directly in the command line, use the following command:

    bin/logstash -e "input { stdin { type => stdin } }"

To specify the number of workers to run to process in parallel, use the following command:

     bin/logstash –w 12 or bin/logstash –-pipeline.workers 12

The default value is 8.

To specify the maximum number of events a worker will connect before executing filters and output plugins, use the following...

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