Book Image

Splunk 9.x Enterprise Certified Admin Guide

By : Srikanth Yarlagadda
Book Image

Splunk 9.x Enterprise Certified Admin Guide

By: Srikanth Yarlagadda

Overview of this book

The IT sector's appetite for Splunk and skilled Splunk developers continues to surge, offering more opportunities for developers with each passing decade. If you want to enhance your career as a Splunk Enterprise administrator, then Splunk 9.x Enterprise Certified Admin Guide will not only aid you in excelling on your exam but also pave the way for a successful career. You’ll begin with an overview of Splunk Enterprise, including installation, license management, user management, and forwarder management. Additionally, you’ll delve into indexes management, including the creation and management of indexes used to store data in Splunk. You’ll also uncover config files, which are used to configure various settings and components in Splunk. As you advance, you’ll explore data administration, including data inputs, which are used to collect data from various sources, such as log files, network protocols (TCP/UDP), APIs, and agentless inputs (HEC). You’ll also discover search-time and index-time field extraction, used to create reports and visualizations, and help make the data in Splunk more searchable and accessible. The self-assessment questions and answers at the end of each chapter will help you gauge your understanding. By the end of this book, you’ll be well versed in all the topics required to pass the Splunk Enterprise Admin exam and use Splunk features effectively.
Table of Contents (17 chapters)
1
Part 1: Splunk System Administration
9
Part 2:Splunk Data Administration
14
Chapter 12: Self-Assessment Mock Exam

Creating search-time field extractions

The SH plays a crucial role in performing search-time extractions. When a user issues a search request, the SH executes the search and carries out search-time field extractions as part of the process.

The SH applies the defined extraction rules or patterns to the raw data during the search execution. It dynamically extracts the relevant fields and associated values from the events based on these rules. The extracted fields are then used for further analysis, filtering, visualization, or other operations.

By performing search-time extractions, the SH allows users to retrieve structured and meaningful information from the raw data without modifying the underlying data source. In addition, the following are other ways in which Splunk automatically extracts fields/values during search time without user involvement:

  • Name=value, also called key-value, pairs in raw data are auto-extracted
  • JSON structured data is auto-extracted
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