Book Image

Implementing Splunk 7, Third Edition - Third Edition

Book Image

Implementing Splunk 7, Third Edition - Third Edition

Overview of this book

Splunk is the leading platform that fosters an efficient methodology and delivers ways to search, monitor, and analyze growing amounts of big data. This book will allow you to implement new services and utilize them to quickly and efficiently process machine-generated big data. We introduce you to all the new features, improvements, and offerings of Splunk 7. We cover the new modules of Splunk: Splunk Cloud and the Machine Learning Toolkit to ease data usage. Furthermore, you will learn to use search terms effectively with Boolean and grouping operators. You will learn not only how to modify your search to make your searches fast but also how to use wildcards efficiently. Later you will learn how to use stats to aggregate values, a chart to turn data, and a time chart to show values over time; you'll also work with fields and chart enhancements and learn how to create a data model with faster data model acceleration. Once this is done, you will learn about XML Dashboards, working with apps, building advanced dashboards, configuring and extending Splunk, advanced deployments, and more. Finally, we teach you how to use the Machine Learning Toolkit and best practices and tips to help you implement Splunk services effectively and efficiently. By the end of this book, you will have learned about the Splunk software as a whole and implemented Splunk services in your tasks at projects
Table of Contents (19 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Determining concurrency


Determining the number of users currently using a system is difficult, particularly if the log does not contain events for both the beginning and the end of a transaction. With web server logs in particular, it is not quite possible to know when a user has left a site. Let's investigate a couple of strategies for answering this question.

Using transaction with concurrency

If the question you are trying to answer is how many transactions were happening at a time, you can use transaction to combine related events and calculate the duration of each transaction. We will then use the concurrency command to increase a counter when the events start and decrease when the time for each transaction has expired. Let's start with our searches from the previous section:

sourcetype="impl_splunk_web" 
| transaction maxpause=5m uid 

This will return a transaction for every uid, assuming that if no requests were made for 5 minutes, the session is complete. This provides results as shown...