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Puppet

Plugin: python.d.plugin Module: puppet

Overview

This collector monitors Puppet metrics about JVM Heap, Non-Heap, CPU usage and file descriptors.'

It uses Puppet’s metrics API endpoint to gather the metrics.

This collector is supported on all platforms.

This collector supports collecting metrics from multiple instances of this integration, including remote instances.

Default Behavior

Auto-Detection

By default, this collector will use https://fqdn.example.com:8140 as the URL to look for metrics.

Limits

The default configuration for this integration does not impose any limits on data collection.

Performance Impact

The default configuration for this integration is not expected to impose a significant performance impact on the system.

Setup

Prerequisites

No action required.

Configuration

File

The configuration file name for this integration is python.d/puppet.conf.

You can edit the configuration file using the edit-config script from the Netdata config directory.

cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata
sudo ./edit-config python.d/puppet.conf

Options

This particular collector does not need further configuration to work if permissions are satisfied, but you can always customize it’s data collection behavior.

There are 2 sections:

  • Global variables
  • One or more JOBS that can define multiple different instances to monitor.

The following options can be defined globally: priority, penalty, autodetection_retry, update_every, but can also be defined per JOB to override the global values.

Additionally, the following collapsed table contains all the options that can be configured inside a JOB definition.

Every configuration JOB starts with a job_name value which will appear in the dashboard, unless a name parameter is specified.

Notes:

  • Exact Fully Qualified Domain Name of the node should be used.
  • Usually Puppet Server/DB startup time is VERY long. So, there should be quite reasonable retry count.
  • A secured PuppetDB config may require a client certificate. This does not apply to the default PuppetDB configuration though.
Name Description Default Required
url HTTP or HTTPS URL, exact Fully Qualified Domain Name of the node should be used. https://fqdn.example.com:8081 True
tls_verify Control HTTPS server certificate verification. False False
tls_ca_file Optional CA (bundle) file to use False
tls_cert_file Optional client certificate file False
tls_key_file Optional client key file False
update_every Sets the default data collection frequency. 30 False
priority Controls the order of charts at the netdata dashboard. 60000 False
autodetection_retry Sets the job re-check interval in seconds. 0 False
penalty Indicates whether to apply penalty to update_every in case of failures. yes False
name Job name. This value will overwrite the job_name value. JOBS with the same name are mutually exclusive. Only one of them will be allowed running at any time. This allows autodetection to try several alternatives and pick the one that works. False

Examples

Basic

A basic example configuration

puppetserver:
  url: 'https://fqdn.example.com:8140'
  autodetection_retry: 1

TLS Certificate

An example using a TLS certificate

puppetdb:
  url: 'https://fqdn.example.com:8081'
  tls_cert_file: /path/to/client.crt
  tls_key_file: /path/to/client.key
  autodetection_retry: 1

Multi-instance

Note: When you define multiple jobs, their names must be unique.

Collecting metrics from local and remote instances.

puppetserver1:
  url: 'https://fqdn.example.com:8140'
  autodetection_retry: 1

puppetserver2:
  url: 'https://fqdn.example2.com:8140'
  autodetection_retry: 1

Metrics

Metrics grouped by scope.

The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.

Per Puppet instance

These metrics refer to the entire monitored application.

This scope has no labels.

Metrics:

Metric Dimensions Unit
puppet.jvm committed, used MiB
puppet.jvm committed, used MiB
puppet.cpu execution, GC percentage
puppet.fdopen used descriptors

Alerts

There are no alerts configured by default for this integration.

Troubleshooting

Debug Mode

To troubleshoot issues with the puppet collector, run the python.d.plugin with the debug option enabled. The output should give you clues as to why the collector isn’t working.

  • Navigate to the plugins.d directory, usually at /usr/libexec/netdata/plugins.d/. If that’s not the case on your system, open netdata.conf and look for the plugins setting under [directories].

    cd /usr/libexec/netdata/plugins.d/
    
  • Switch to the netdata user.

    sudo -u netdata -s
    
  • Run the python.d.plugin to debug the collector:

    ./python.d.plugin puppet debug trace
    

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