Book Image

Improving Your Splunk Skills

By : James D. Miller, Paul R. Johnson, Josh Diakun, Derek Mock
Book Image

Improving Your Splunk Skills

By: James D. Miller, Paul R. Johnson, Josh Diakun, Derek Mock

Overview of this book

Splunk makes it easy for you to take control of your data and drive your business with the cutting edge of operational intelligence and business analytics. Through this Learning Path, you'll implement new services and utilize them to quickly and efficiently process machine-generated big data. You'll begin with an introduction to the new features, improvements, and offerings of Splunk 7. You'll learn to efficiently use wildcards and modify your search to make it faster. You'll learn how to enhance your applications by using XML dashboards and configuring and extending Splunk. You'll also find step-by-step demonstrations that'll walk you through building an operational intelligence application. As you progress, you'll explore data models and pivots to extend your intelligence capabilities. By the end of this Learning Path, you'll have the skills and confidence to implement various Splunk services in your projects. This Learning Path includes content from the following Packt products: Implementing Splunk 7 - Third Edition by James Miller Splunk Operational Intelligence Cookbook - Third Edition by Paul R Johnson, Josh Diakun, et al
Table of Contents (21 chapters)
Title Page

A quick example

Let's try a quick example. Once we have selected a data model (in our case, Aviation Games), from the Select a Dataset page, we can choose Processing Errors, which will land us on the New Pivot (Pivot Editor):

To build a simple pivot, we can do the following quick steps:

  1. Add/Verify the filters:

Remember, All time is the default; this will include all results found over all time. You can click on the pencil and amend this filter to be based upon any of Splunk's Presets or a specific Date Range:

For this example, we'll just leave the default selection.

  1. Configure the Split Rows.

Directly under Filters is Split Rows. For Split Rows, I've selected date_month:

  1. After making the selection, you are able to provide additional settings for the selected row:

I've provided a new name (Label) for the row (my_Month) and left the defaults...