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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

Creating a timechart of method requests, views, and response times


Having the right single values displayed on a dashboard can be beneficial to understanding key metrics, but can also be limiting in providing true operational intelligence on how the different metrics of our website affect one another. By plotting values such as the number of method requests, the number of total views, and the average response times over a given time range, you can begin to understand if there is any correlation between these numbers. This can be very beneficial in understanding things such as if the average response time of pages is growing due to the number of active POST requests to the website or if one type of request is making up for the majority of the total number of requests at that given time.

In this recipe, you will create a Splunk search using the timechart command to plot values over a given time period. You will then graphically represent these values using a line chart.

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