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

Working with fields


All the fields that we have used so far were either indexed fields (such as host, sourcetype, and _time) or fields that were automatically extracted from key=value pairs. Unfortunately, most logs don't follow this format, especially for the first few values in each event. New fields can be created either using inline commands or through configuration.

A regular expression primer

Most of the ways to create new fields in Splunk involve regular expressions (sometimes referred to as regex). As mentioned in the Splunk documentation:

"Regex is a powerful part of the Splunk search interface, and understanding it is an essential component of Splunk search best practices"

There are many books and sites dedicated to regular expressions, so we will only touch upon the subject here. The following examples are really provided for completeness; the Splunk web interface may suffice for most users.

Given the log snippet ip=1.2.3.4, let's pull out the subnet (1.2.3) into a new field called...