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Splunk Operational Intelligence Cookbook - Second Edition

You're reading from  Splunk Operational Intelligence Cookbook - Second Edition

Product type Book
Published in Jun 2016
Publisher
ISBN-13 9781785284991
Pages 436 pages
Edition 2nd Edition
Languages
Authors (4):
Jose E. Hernandez Jose E. Hernandez
Profile icon Jose E. Hernandez
Josh Diakun Josh Diakun
Profile icon Josh Diakun
Derek Mock Derek Mock
Profile icon Derek Mock
Paul R. Johnson Paul R. Johnson
Profile icon Paul R. Johnson
View More author details

Table of Contents (17) Chapters

Splunk Operational Intelligence Cookbook Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Play Time – Getting Data In 2. Diving into Data – Search and Report 3. Dashboards and Visualizations – Making Data Shine 4. Building an Operational Intelligence Application 5. Extending Intelligence – Data Models and Pivoting 6. Diving Deeper – Advanced Searching 7. Enriching Data – Lookups and Workflows 8. Being Proactive – Creating Alerts 9. Speeding Up Intelligence – Data Summarization 10. Above and Beyond – Customization, Web Framework, REST API, HTTP Event Collector, and SDKs Index

Predicting website traffic volumes


In any environment, the capability to predict events provides immense value. In many cases, predictive analytics involves looking back over past events to predict what might occur in the future with a certain degree of confidence. When applied to the Operational Intelligence space and used correctly, predictive analytics can become a key asset that is more heavily relied on by teams rather than any other part of an Operational Intelligence program. For example, imagine having the ability to know the appropriate thresholds to set to alert key staff of impending issues, the capability to understand that a problem is beginning to occur even before it does, or simply being able to predict what consumers will purchase and ensuring the items are in stock. These examples just scratch the surface of the use cases for predictive analytics.

In this recipe, you will write a Splunk search to predict website traffic volumes over a given time period. You will then graphically...

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