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

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

Having the right single values displayed on a dashboard can be beneficial to understanding key metrics, but can also be limiting in providing true operational intelligence on how the different metrics of our website affect one another. By plotting values such as the number of method requests, the number of total views, and the average response times over a given time range, you can begin to understand if there is any correlation between these numbers. This can be very beneficial in understanding things such as if the average response time of pages is growing due to the number of active POST requests to the website or if one type of request is making up for the majority of the total number of requests at that given time.

In this recipe, you will create a Splunk search using the timechart command to plot values over a given time period. You will then graphically represent these values using a line chart.

Getting ready

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