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

Parsing phase settings

Going through the parsing phase is crucial before data is indexed. Parsing happens right after the input phase – the process is input -> parsing -> indexing, in this order. You can refer to the Data indexing phases section of Chapter 8, which introduced these phases, for a refresher. The data stream must be preprocessed before indexing. The parsing phase in Splunk is necessary for formatting and extracting relevant data from unstructured or semi-structured input, making the data searchable and actionable. The following are some of the important sub-phases that data goes through:

  • Breaking the whole data stream into individual events
  • Identifying the timestamp of an event if needed and applying it
  • Applying metadata fields such as the host, sourcetype, source, and index
  • Optionally transforming the data by re-routing, overriding metadata, masking portions of events, filtering and dropping unnecessary events, and so on