Book Image

Implementing Splunk 7, Third Edition - Third Edition

Book Image

Implementing Splunk 7, Third Edition - Third Edition

Overview of this book

Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects
Table of Contents (19 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

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 selecteddate_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 for Sort, Max Rows (to display), and Totals.

  1. Configure the Split Columns.

Moving to the upper-right side of the Pivot page, we have Split Columns. For Split Columns...