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Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

You're reading from  Implementing Splunk: Big Data Reporting and Development for Operational Intelligence

Product type Book
Published in Jan 2013
Publisher Packt
ISBN-13 9781849693288
Pages 448 pages
Edition 1st Edition
Languages
Concepts
Author (1):
VINCENT BUMGARNER VINCENT BUMGARNER
Profile icon VINCENT BUMGARNER

Table of Contents (19) Chapters

Implementing Splunk: Big Data Reporting and Development for Operational Intelligence
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
The Splunk Interface Understanding Search Tables, Charts, and Fields Simple XML Dashboards Advanced Search Examples Extending Search Working with Apps Building Advanced Dashboards Summary Indexes and CSV Files Configuring Splunk Advanced Deployments Extending Splunk Index

Common data sources


Your data may come from a number of sources; these can be files, network ports, or scripts. Let's walk through a few common scenarios.

Monitoring logs on servers

In this scenario, servers write their logs to a local drive, and a forwarder process monitors these logs. This is the typical Splunk installation.

The advantages of this approach include:

  • This process is highly optimized. If the indexers are not overworked, events are usually searchable within a few seconds.

  • Slowdowns caused by network problems or indexer overload are handled gracefully. The forwarder process will pick up where it left off when the slowdown is resolved.

  • The agent is light, typically using less than 100 megabytes of RAM and a few percent of one CPU. These values go up with the amount of new data written and the number of files being tracked. See inputs.conf in Chapter 10, Configuring Splunk, for details.

  • Logs without a time zone specified will inherit the time zone of the machine running the forwarder...

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