Book Image

Splunk Operational Intelligence Cookbook - Second Edition

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

Splunk Operational Intelligence Cookbook - Second Edition

By: Josh Diakun, Jose E. Hernandez, 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 (12 chapters)
11
Index

Finding the most accessed web pages


One of the data samples we loaded in Chapter 1, Play Time – Getting Data In, contained access logs from our web server. These have a Splunk sourcetype of access_combined and detail all pages accessed by the users of our web application. We are particularly interested in knowing which pages are being accessed the most, as this information provides great insight into how our e-commerce web application is being used. It could also help influence changes to our web application such that rarely visited pages are removed, or our application is redesigned to be more efficient.

In this recipe, we will write a Splunk search to find the most accessed web pages over a given period of time.

Getting ready

To step through this recipe, you will need a running Splunk Enterprise server, with the sample data loaded from Chapter 1, Play Time – Getting Data In. You should be familiar with the Splunk search bar and the time range picker to the right of it.

How to do it…

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