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

Boolean and grouping operators


There are a few operators that you can use to refine your searches (note that these operators must be in uppercase so as not to be considered search terms):

  • AND is implied between terms. For instance, error mary (two words separated by a space) is the same as error AND mary.
  • OR allows you to specify multiple values. For instance, error OR mary means find any event that contains either word.
  • NOT applies to the next term or group. For example, error NOT mary would find events that contain error but do not contain mary.
  • The quote marks ("") identify a phrase. For example, "Out of this world" will find this exact sequence of words. Out of this world will find any event that contains all of these words, but not necessarily in that order.
  • Parentheses ( ( ) ) are used for grouping terms. Parentheses can help avoid confusion in logic. For instance, these two statements are equivalent:
    • bob error OR warn NOT debug
    • (bob AND (error OR warn)) AND NOT debug
  • The equal sign (=) is...