Book Image

Improving Your Splunk Skills

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

Improving Your Splunk Skills

By: James D. Miller, Paul R. Johnson, Josh Diakun, Derek Mock

Overview of this book

Splunk makes it easy for you to take control of your data and drive your business with the cutting edge of operational intelligence and business analytics. Through this Learning Path, you'll implement new services and utilize them to quickly and efficiently process machine-generated big data. You'll begin with an introduction to the new features, improvements, and offerings of Splunk 7. You'll learn to efficiently use wildcards and modify your search to make it faster. You'll learn how to enhance your applications by using XML dashboards and configuring and extending Splunk. You'll also find step-by-step demonstrations that'll walk you through building an operational intelligence application. As you progress, you'll explore data models and pivots to extend your intelligence capabilities. By the end of this Learning Path, you'll have the skills and confidence to implement various Splunk services in your projects. This Learning Path includes content from the following Packt products: Implementing Splunk 7 - Third Edition by James Miller Splunk Operational Intelligence Cookbook - Third Edition by Paul R Johnson, Josh Diakun, et al
Table of Contents (21 chapters)
Title Page

Calculating the average execution time for multi-tier web requests

With components existing at many different layers to provide varying functionalities, web applications are no longer as straightforward as they once were. Understanding the execution time for a web request across the entire application stack, rather than at a single layer, can be extremely beneficial in correctly articulating the average time that requests take to execute in their entirety. This can lead to the identification of issues in relation to increasing website response times.

In this recipe, you will write a Splunk search to calculate the average execution time of a web request that traverses not only the website access logs, but also application logs. You will then graphically display this value on a dashboard using a single-value visualization.