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Puppet Reporting and Monitoring

You're reading from   Puppet Reporting and Monitoring Create insightful reports for your server infrastructure using Puppet

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783981427
Length 186 pages
Edition Edition
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Author (1):
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Michael Duffy Michael Duffy
Author Profile Icon Michael Duffy
Michael Duffy
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Table of Contents (16) Chapters Close

Puppet Reporting and Monitoring
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Setting Up Puppet for Reporting 2. Viewing Data in Dashboards FREE CHAPTER 3. Introducing Report Processors 4. Creating Your Own Report Processor 5. Exploring PuppetDB 6. Retrieving Data with the PuppetDB API 7. Writing Custom Reports with PuppetDB 8. Creating Your Own Custom Dashboard 9. Looking Back and Looking Forward Index

Feeding data into Dashing


As we've already covered, Dashing uses a series of scheduled jobs written in Ruby that will collect any data that we are interested in. A library called rufus-scheduler controls the scheduling; the rufus-scheduler library allows for great flexibility as to when and how jobs are run, meaning that you could have a lightweight job that scrapes data from a public API and runs every five seconds, and another job that will run every 30 minutes and perform a heavy query on a database.

We're going to create a single job called puppet.rb, and this Ruby code is going to perform the following actions:

  • Gather metrics using PuppetDB's metrics endpoint

  • Gather a list of nodes using PuppetDB's nodes endpoint

  • Use the nodes gathered to gather counts for events that have occurred in the past 30 minutes using PuppetDB's event-counts endpoint

  • Parse the events data to display the state of our hosts

As you can see, we're taking the knowledge that we've gained with PuppetDB over the past two...

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