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

Configuring distributed search

The distributed search feature requires configuration to establish connectivity from the search head to indexers or search peers. From a standalone search head and indexer architecture to a large-scale multisite clustering setup, all implementations make use of the distributed search feature. Refer to the deployment type in Figure 7.2, which has three search heads in a cluster, enabling distributed search to interact with three independent indexers. Indexers receive data from various sources, such as universal forwarders, syslog inputs, and technology add-ons for indexing. Here are a few essential points to understand about distributed search:

  • Search heads are preconfigured to send queries to search peers upon user request.
  • Search heads consolidate the results received from peers that participate in the search.
  • Search heads present the results to the user.
  • A continuous background process called knowledge bundle replication runs (you...