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Mastering Splunk

You're reading from   Mastering Splunk Optimize your machine-generated data effectively by developing advanced analytics with Splunk

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781782173830
Length 344 pages
Edition 1st 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 (13) Chapters Close

Preface 1. The Application of Splunk FREE CHAPTER 2. Advanced Searching 3. Mastering Tables, Charts, and Fields 4. Lookups 5. Progressive Dashboards 6. Indexes and Indexing 7. Evolving your Apps 8. Monitoring and Alerting 9. Transactional Splunk 10. Splunk – Meet the Enterprise A. Quick Start Index

What does Splunk do with the data it monitors?


By now, you know that you input raw data into Splunk, but do you know what Splunk Enterprise does with your data and how to make it do this in a better way?

What Splunk does is it indexes your data, making it searchable knowledge (in the form of events). Moving from data inputs to searchable knowledge is known as the Splunk data pipeline process.

The Splunk data pipeline

So, let's take a quick look at the Splunk data pipeline.

Once new data inputs are configured, Splunk picks up the new data that is generated and drops it into its parsing queue, where it waits for parsing to be done. This parsing includes the following:

  • Source and event typing

  • Character set normalization

  • Line termination identification

  • Timestamp identification and normalization

  • Event boundary identification

  • Regex transformation and parse-time field creation

After being sent through the Splunk parser, the data goes to an indexing queue where it waits for the Splunk indexer. The indexer...

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