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

Field Extractions and Lookups

Great! You have reached the last chapter in Part 2, Data Administration. So far in Part 2, we have learned about getting the data into Splunk, adding input, and the parsing phase settings, and we have understood the phases of data traversal before it is written to disk. What we haven’t seen so far is the search phase, which is fundamental for all the work we have done so far in system admin (setting up Splunk) and right after, in the data admin part (tidying up the data and storing it in indexers).

After all, if you have everything set up right and data is indexed correctly, the users who are going to search the data are going to be the real business outcome. For example, if we have indexed sales, API logs, and system logs into Splunk, the respective users could use data to generate a monthly sales report and send it via email, and alert when an API isn’t available for service and/or security teams have found a vulnerability of a certain...