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Splunk Essentials

You're reading from   Splunk Essentials Operational Intelligence at your fingertips

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Product type Paperback
Published in Sep 2016
Publisher
ISBN-13 9781785889462
Length 236 pages
Edition 2nd Edition
Tools
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Authors (3):
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Somesh Soni Somesh Soni
Author Profile Icon Somesh Soni
Somesh Soni
Betsy Page Sigman Betsy Page Sigman
Author Profile Icon Betsy Page Sigman
Betsy Page Sigman
Erickson Delgado Erickson Delgado
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Erickson Delgado
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Table of Contents (10) Chapters Close

Preface 1. Splunk in Action FREE CHAPTER 2. Bringing in Data 3. Search Processing Language 4. Data Models and Pivot 5. Data Optimization, Reports, Alerts, and Accelerating Searches 6. Panes of Glass 7. Splunk SDK for JavaScript and D3.js 8. HTTP Event Collector 9. Best Practices and Advanced Queries

Data normalization with tags


Tags in Splunk are useful for grouping events with related field values. Unlike event types, which are based on specified search commands, tags are created and mapped to specific fields. You can also have multiple tags assigned to the same field, and each tag can be assigned to that field for a specific reason.

The simplest use-case scenario when using tags is for classifying IP addresses. In our Eventgen logs, three IP addresses are automatically generated. We will create tags against these IP addresses that would allow us to classify them based on different conditions:

IP address

Tags

10.2.1.33

main, patched, east

10.2.1.34

main, patched, west

10.2.1.35

backup, east

In our server farm of three servers, we are going to group them by purpose, patch status, and geolocation. We will achieve this using tags, as shown in the following steps:

  1. Begin by using the following search command:

          SPL> index=main server_ip=10.2.1.33
    
  2. Expand the first event by clicking...

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