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

Creating Splunk indexes

Creating a custom index is a Splunk administrator’s responsibility. As you have seen, data is retained in indexes until it reaches a certain age or the index reaches a certain size, so an estimation of an index’s size before it is created is a crucial step. Having an accurate estimation retains the data for the necessary amount of time, and it also helps to determine the required storage capacity upfront.

In order to estimate the size of the index, we must have the answers to the following questions:

  • Question: How long does the data need to be retained in days?

Answer: For example, 100 days

  • Question: How much data volume per day is expected in GB?

Answer: For example, 1 GB

The formula for index size estimation is as follows:

Retain days X volume per day X 1/2 (raw data compression + index files)

If we substitute in the example values, the index size becomes 100 X 1 X (½) = 50 GB.

Now that you know...