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.

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.

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.

Config options

| 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 | yes | | tls_verify | Control HTTPS server certificate verification. | False | no | | tls_ca_file | Optional CA (bundle) file to use | | no | | tls_cert_file | Optional client certificate file | | no | | tls_key_file | Optional client key file | | no | | update_every | Sets the default data collection frequency. | 30 | no | | priority | Controls the order of charts at the netdata dashboard. | 60000 | no | | autodetection_retry | Sets the job re-check interval in seconds. | 0 | no | | penalty | Indicates whether to apply penalty to update_every in case of failures. | yes | no | | 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. | | no |

Examples

Basic

A basic example configuration

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

TLS Certificate

An example using a TLS certificate

Config

```yaml 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.