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

Exploring Distributed Search

Splunk distributed search is all about the separation of search and indexing duties. In a standalone Splunk instance, there is no concept of distributed search because the duties of searching and indexing are handled by only one instance. If these duties are separated, there will be an opportunity to scale individual search heads and indexers to be more efficient and robust. In this chapter, you will learn about distributed search configuration and how knowledge bundles are replicated from search head to indexer. While distributed search is in action, there can always be scenarios where one or more instances might not perform as expected. In that case, we will examine the troubleshooting steps we can apply to overcome the issues or at least partially restore the search.

It is very important for system administrators to understand the various roles of Splunk instances in a distributed deployment and how search gets distributed to indexers. It is also...