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

Data indexing phases

As data moves from the source machine to the Splunk indexer, it primarily goes through three phases. Note that this is a simplified version of the system for learning purposes; there are in reality more queues involved as data moves through the processing pipelines.

Splunk indexing is the process of ingesting and storing data in the Splunk platform for later analysis and searching.

As a data administrator, it’s crucial to understand the different phases involved in Splunk indexing. The core competency of Splunk lies in its ability to search and analyze large volumes of data in real time, providing valuable insights. The indexing phase involves ingesting and storing data in the Splunk platform while the parsing phase involves the extraction of relevant information using pre-built or custom-defined rules. During the indexing process in Splunk, there are several significant activities that take place. These include data manipulation, the creation of indexed...