Book Image

Splunk Operational Intelligence Cookbook - Second Edition

By : Jose E. Hernandez, Josh Diakun, Derek Mock, Paul R. Johnson
Book Image

Splunk Operational Intelligence Cookbook - Second Edition

By: Jose E. Hernandez, Josh Diakun, Derek Mock, Paul R. Johnson

Overview of this book

Splunk makes it easy for you to take control of your data, and with Splunk Operational Cookbook, you can be confident that you are taking advantage of the Big Data revolution and driving your business with the cutting edge of operational intelligence and business analytics. With more than 70 recipes that demonstrate all of Splunk’s features, not only will you find quick solutions to common problems, but you’ll also learn a wide range of strategies and uncover new ideas that will make you rethink what operational intelligence means to you and your organization. You’ll discover recipes on data processing, searching and reporting, dashboards, and visualizations to make data shareable, communicable, and most importantly meaningful. You’ll also find step-by-step demonstrations that walk you through building an operational intelligence application containing vital features essential to understanding data and to help you successfully integrate a data-driven way of thinking in your organization. Throughout the book, you’ll dive deeper into Splunk, explore data models and pivots to extend your intelligence capabilities, and perform advanced searching to explore your data in even more sophisticated ways. Splunk is changing the business landscape, so make sure you’re taking advantage of it.
Table of Contents (17 chapters)
Splunk Operational Intelligence Cookbook Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Introduction


In the previous chapter, you continued to improve your Splunk search and analytical skills by creating highly advanced searches that leveraged more of the deep analytical commands to gain more operational intelligence from the data contained within the logs. In this chapter, you will leverage Splunk's lookup functionality to enrich these results with the data found outside of the logs. You will also use Splunk's workflow functionality to perform some simple actions on the data that you discovered.

Lookups

Lookups are used to enrich log data with additional data not found in the log events themselves. They allow you to key off one or more fields in the event data and add additional fields to this data. These additional fields are commonly added by looking up the specified fields in a static CSV-based lookup table and then bringing back additional fields associated with that specific entry in the table. However, lookups can also be a lot more dynamic, leveraging Python scripts...