blob: eae84d9e16a36dfdf5821389b2c7afedc90dc406 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
|
plugin_name: python.d.plugin
modules:
- meta:
plugin_name: python.d.plugin
module_name: example
monitored_instance:
name: Example collector
link: https://github.com/netdata/netdata/blob/master/collectors/python.d.plugin/example/README.md
categories:
- data-collection.other
icon_filename: ""
related_resources:
integrations:
list: []
info_provided_to_referring_integrations:
description: ""
keywords:
- example
- netdata
- python
most_popular: false
overview:
data_collection:
metrics_description: |
Example collector that generates some random numbers as metrics.
If you want to write your own collector, read our [writing a new Python module](https://github.com/netdata/netdata/blob/master/collectors/python.d.plugin/README.md#how-to-write-a-new-module) tutorial.
method_description: |
The `get_data()` function uses `random.randint()` to generate a random number which will be collected as a metric.
supported_platforms:
include: []
exclude: []
multi_instance: true
additional_permissions:
description: ""
default_behavior:
auto_detection:
description: ""
limits:
description: ""
performance_impact:
description: ""
setup:
prerequisites:
list: []
configuration:
file:
name: python.d/example.conf
description: ""
options:
description: |
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.
folding:
title: Config options
enabled: true
list:
- name: num_lines
description: The number of lines to create.
default_value: 4
required: false
- name: lower
description: The lower bound of numbers to randomly sample from.
default_value: 0
required: false
- name: upper
description: The upper bound of numbers to randomly sample from.
default_value: 100
required: false
- name: update_every
description: Sets the default data collection frequency.
default_value: 1
required: false
- name: priority
description: Controls the order of charts at the netdata dashboard.
default_value: 60000
required: false
- name: autodetection_retry
description: Sets the job re-check interval in seconds.
default_value: 0
required: false
- name: penalty
description: Indicates whether to apply penalty to update_every in case of failures.
default_value: yes
required: false
- name: name
description: 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.
default_value: ""
required: false
examples:
folding:
enabled: true
title: Config
list:
- name: Basic
folding:
enabled: false
description: A basic example configuration.
config: |
four_lines:
name: "Four Lines"
update_every: 1
priority: 60000
penalty: yes
autodetection_retry: 0
num_lines: 4
lower: 0
upper: 100
troubleshooting:
problems:
list: []
alerts: []
metrics:
folding:
title: Metrics
enabled: false
description: ""
availability: []
scopes:
- name: global
description: |
These metrics refer to the entire monitored application.
labels: []
metrics:
- name: example.random
description: A random number
unit: number
chart_type: line
dimensions:
- name: random
|
