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
About the Authors
About the Reviewer

Chapter 3. Dashboards and Visualizations – Making Data Shine

In this chapter, we will learn how to build dashboards and create visualizations of your data. We will cover the following recipes:

  • Creating an Operational Intelligence dashboard

  • Using a pie chart to show the most accessed web pages

  • Displaying the unique number of visitors

  • Using a gauge to display the number of errors

  • Charting the number of method requests by type and host

  • Creating a timechart of method requests, views, and response times

  • Using a scatter chart to identify discrete requests by size and response time

  • Creating an area chart of the application's functional statistics

  • Using a bar chart to show the average amount spent by category

  • Creating a line chart of item views and purchases over time