Book Image

Splunk Operational Intelligence Cookbook - Third Edition

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

Splunk Operational Intelligence Cookbook - Third Edition

By: Josh Diakun, Paul R. Johnson, Derek Mock

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 80 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 with machine learning 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 (12 chapters)

Calculating an hourly count of sessions versus completed transactions

From an operational intelligence standpoint, it is interesting to understand how many visitors we have to our online store and how many of these people actually purchase something. For example, if we have 1,000 people visiting a day, and only 10 people actually purchase something, this might indicate something is not quite right. Perhaps the prices of our products are too high, or the site might be difficult to use and thus needs a redesign. This information can also be used to indicate peak purchasing times.

In this first recipe, we will leverage summary indexing to understand how many sessions we have per hour versus how many actual completed purchase transactions there have been. We will plot these on a line graph going back the last 24 hours.

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