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Splunk Operational Intelligence Cookbook

You're reading from  Splunk Operational Intelligence Cookbook

Product type Book
Published in Oct 2014
Publisher
ISBN-13 9781849697842
Pages 414 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

Splunk Operational Intelligence Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Play Time – Getting Data In Diving into Data – Search and Report Dashboards and Visualizations – Make Data Shine Building an Operational Intelligence Application Extending Intelligence – Data Models and Pivoting Diving Deeper – Advanced Searching Enriching Data – Lookups and Workflows Being Proactive – Creating Alerts Speed Up Intelligence – Data Summarization Above and Beyond – Customization, Web Framework, REST API, and SDKs Index

Finding abnormally sized web requests


The identification of abnormalities within events can prove to be valuable for many reasons; it can lead to the identification of a resource issue, highlight malicious activities hidden within high volumes of events, or simply detect users attempting to interact with the application in a way they were not designed to. When building an Operational Intelligence application for your website, the ability to detect abnormal activities should be at the top of your list. Frequently, after issues are identified, remediated, and due diligence has been done, it is common to see that some abnormality in the system or application was an early identifier of the cause. Capitalize on these opportunities to capture the abnormalities and triage them accordingly.

In this recipe, you will create a Splunk search to highlight abnormal web requests based on the size of the request over a given time period. You will then present all findings in a tabular format.

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