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

Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics

In this chapter, we will cover some of the more advanced search commands available in Splunk. We will cover the following recipes:

  • Calculating the average session time on a website
  •  Calculating the average execution time for multi-tier web requests
  •  Displaying the maximum concurrent checkouts
  • Analyzing the relationship of web requests
  •  Predicting website traffic volumes
  •  Finding abnormally sized web requests
  •  Identifying potential session spoofing
  •  Detecting outliers in server response times
  •  Forecasting weekly sales