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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (15) Chapters Close

Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit

Writing a scripted input to gather data

Scripted inputs allow you to run a piece of code on a scheduled basis and capture the output as if it were simply being written to a file. It does not matter what language the script is written in, or where it lives, as long as it is executable.

We touched on this topic in the Using scripts to gather data section in Chapter 12, Advanced Deployments. Let's write a few more examples.

Capturing script output with no date

One common problem with script output is the lack of a predictable date or date format. In this situation, the easiest thing to do is to tell Splunk not to try to parse a date at all and instead use the current date. Let's make a script that lists open network...

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