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

Summary

The chapter combines two interesting topics: fields and lookups. We began with fields (or knowledge objects) and understood that they are the building blocks for search (SPL) and that they can be extracted out of raw data while presenting results to search requests issued by users during search time. The SH, on the fly, extracts fields/values based on the extraction’s settings pre-created by data admins on the SH. Splunk, by default, extracts fields from data formats such as KV pairs and JSON contents during search time. Then, we introduced lookup types and their purpose for data enrichment use cases.

Similarly, another approach is to define the fields through indexed extraction settings during data indexing time; they are called index-time fields/indexed fields. Fields created during indexing time are stored in a designated index permanently, so they consume additional storage space, and using them is a less preferred approach over using search-time fields. The reason...