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

Understanding Splunk data inputs

Splunk Enterprise accepts any text data from a variety of sources such as computers, network devices, Internet-of-Things (IoT) devices, sensors, virtual machines, containers, databases, and so the list goes on. The source just needs to find the right data input type to ingest its text data into Splunk.

Data input types are a mechanism for forwarding data from the source to Splunk for indexing. Splunk offers the following five types of data inputs that work for most sources. In Chapter 9, Splunk Data Inputs, we’ll go through input types in more detail:

  • File and directory monitoring: Sources containing data in files and lists of files inside directories can be monitored for indexing. Here, files are monitored continuously as data is appended to the end of a file. Usually, a Universal Forwarder (UF) agent runs on the source system and monitors the files and directories. A UF offers another option to index files, called Batch, which is...