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

Lookup attributes


Let's discuss lookup attributes now. Splunk can use the existing lookup definitions to match the values of an attribute that you select to values of a field in the specified lookup table. It then returns the corresponding field/value combinations and applies them to your object as (lookup) attributes.

Once again, if you click on Add Field and select Lookup, Splunk opens the Add Fields with a Lookup page (shown in the following screenshot) where you can select from your currently defined lookup definitions. For this example, we select dnslookup:

The dnslookup converts clienthost to clientip. We can configure a lookup attribute using this lookup to add that result to the processing errors objects.

Under Input, select clienthost for Field in Lookup and Field in Dataset. Field in Lookup is the field to be used in the lookup table. Field in Dataset is the name of the field used in the event data. In our simple example, Splunk will match the field clienthost with the field host...