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)
Part 1: Splunk System Administration
Part 2:Splunk Data Administration
Chapter 12: Self-Assessment Mock Exam

Creating index-time field extractions

Indexed extractions, also referred to as index-time field extractions, involve the systematic extraction of specific fields from raw data during the parsing phase of the data ingestion journey. These extractions are defined and implemented by data administrators, who specify the fields to be extracted. As part of this process, the extracted fields are not only captured but also persistently stored within the designated index, ensuring their long-term availability for subsequent analysis and retrieval.

If you recall from Chapter 8, in the Data indexing phases section, we learned about input, parsing, and indexing.

There is a special case for structured data: at input time, setting INDEXED_EXTRACTIONS in props.conf and deploying to a Universal Forwarder (UF) stores the fields in an index. In this case, data doesn’t go through the parsing phase; it skips it and goes directly to the indexing phase. Let’s look at the important facts...