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

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

As shown by the recipes up until this point, there is vast intelligence that can be attained by building visualizations that summarize the current application state, analyze performance data over time, or compare values to one another. However, what about those discrete events that appear off in the distance at odd or random times? These events might not be correctly reflected when looking at a column chart, single value gauge, or pie chart, as to most calculations, they are just a blip in the radar somewhere off in the distance. However, there could be times where these discrete events are indicative of an issue or simply the start of one.

In this recipe, you will write a very simple Splunk search to plot a few elements of web request data in a tabular format. The real power comes next, when you will graphically represent these values using a scatter chart.

Getting ready

To step through this recipe, you will need...