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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
1. The Splunk Interface 2. Understanding Search 3. Tables, Charts, and Fields 4. Simple XML Dashboards 5. Advanced Search Examples 6. Extending Search 7. Working with Apps 8. Building Advanced Dashboards 9. Summary Indexes and CSV Files 10. Configuring Splunk 11. Advanced Deployments 12. Extending Splunk Index

Using apps to organize configuration


When working with a distributed configuration, there are a number of ways to organize these configurations. The most obvious approach might be to organize configurations by machine type. For instance, put all configurations needed by web servers into one app and all configurations needed by database servers in another app. The problem with this approach is that any changes that affect both types of machines must be made in both apps, and mistakes will most likely be made.

The less fragile but more complicated approach is to normalize your configurations, ensuring that there is only one copy of each configuration spread into multiple apps.

Separate configurations by purpose

Stepping through a typical installation, you would have configuration apps named like the following:

  • inputs-sometype

    For some logical set of inputs, you would create an app. You could use machine purpose, source type, location, operating system, or whatever makes sense in your situation...

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