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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 for Parsing Logs

In this section, we will explore how to use Logstash to parse a file that contains different types of logs. It will utilize the knowledge gained in this chapter, which will be put into action. We will use custom created grok patterns to parse the data, as per our requirements.

Let's have a look at the data.

The log file contains millions of records with a combination of Tomcat logs and Catalina logs. The log file also contains application exceptions, errors, and stack trace messages. The log file contains log events of various log levels, such as INFO, WARN, ERROR, DEBUG, and FATAL.

Sample Catalina logs

Have a look at the following logs:

    Mar 10, 2016 10:04:37 PM org.apache.catalina.startup.Catalina load INFO: Initialization processed in 433 ms
    Mar 10, 2016 10:04:37 PM org.apache.catalina.core.StandardService startInternal INFO: Starting service Catalina

Sample Tomcat logs

Have a look at the following logs:

    2016-03-10 22:04:40,892  INFO localhost...
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