add auto scale module (#41533)

* add autoscale modules

* add test alias
pull/44947/head
Yuwei Zhou 6 years ago committed by Matt Davis
parent f6fa5a11bb
commit b7d614df78

@ -135,6 +135,7 @@ try:
from msrestazure.tools import parse_resource_id, resource_id, is_valid_resource_id
from msrestazure import azure_cloud
from azure.common.credentials import ServicePrincipalCredentials, UserPassCredentials
from azure.mgmt.monitor.version import VERSION as monitor_client_version
from azure.mgmt.network.version import VERSION as network_client_version
from azure.mgmt.storage.version import VERSION as storage_client_version
from azure.mgmt.compute.version import VERSION as compute_client_version
@ -147,6 +148,7 @@ try:
from azure.mgmt.storage import StorageManagementClient
from azure.mgmt.compute import ComputeManagementClient
from azure.mgmt.dns import DnsManagementClient
from azure.mgmt.monitor import MonitorManagementClient
from azure.mgmt.web import WebSiteManagementClient
from azure.mgmt.containerservice import ContainerServiceClient
from azure.mgmt.marketplaceordering import MarketplaceOrderingAgreements
@ -290,7 +292,7 @@ class AzureRMModuleBase(object):
self._containerregistry_client = None
self._containerinstance_client = None
self._traffic_manager_management_client = None
self._monitor_client = None
self._adfs_authority_url = None
self._resource = None
@ -1134,3 +1136,11 @@ class AzureRMModuleBase(object):
self._traffic_manager_management_client = self.get_mgmt_svc_client(TrafficManagerManagementClient,
base_url=self._cloud_environment.endpoints.resource_manager)
return self._traffic_manager_management_client
@property
def monitor_client(self):
self.log('Getting monitor client')
if not self._monitor_client:
self._monitor_client = self.get_mgmt_svc_client(MonitorManagementClient,
base_url=self._cloud_environment.endpoints.resource_manager)
return self._monitor_client

@ -0,0 +1,621 @@
#!/usr/bin/python
#
# Copyright (c) 2017 Yuwei Zhou, <yuwzho@microsoft.com>
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: azure_rm_autoscale
version_added: "2.7"
short_description: Manage Azure autoscale setting.
description:
- Create, delete an autoscale setting.
options:
target:
description:
- The identifier of the resource to apply autoscale setting.
- It could be the resource id string.
- It also could be a dict contains the C(name), C(subscription_id), C(namespace), C(types), C(resource_group) of the resource.
resource_group:
required: true
description: resource group of the resource.
enabled:
type: bool
description: Specifies whether automatic scaling is enabled for the resource.
default: true
profiles:
description:
- The collection of automatic scaling profiles that specify different scaling parameters for different time periods.
- A maximum of 20 profiles can be specified.
suboptions:
name:
required: true
description: the name of the profile.
count:
required: true
description:
- The number of instances that will be set if metrics are not available for evaluation.
- The default is only used if the current instance count is lower than the default.
min_count:
description: the minimum number of instances for the resource.
max_count:
description: the maximum number of instances for the resource.
recurrence_frequency:
default: None
description:
- How often the schedule profile should take effect.
- If this value is Week, meaning each week will have the same set of profiles.
- This element is not used if the FixedDate element is used.
choices:
- None
- Second
- Minute
- Hour
- Day
- Week
- Month
- Year
recurrence_timezone:
description:
- The timezone of repeating times at which this profile begins.
- This element is not used if the FixedDate element is used.
recurrence_days:
description:
- The days of repeating times at which this profile begins.
- This element is not used if the FixedDate element is used.
recurrence_hours:
description:
- The hours of repeating times at which this profile begins.
- This element is not used if the FixedDate element is used.
recurrence_mins:
description:
- The mins of repeating times at which this profile begins.
- This element is not used if the FixedDate element is used.
fixed_date_timezone:
description:
- The specific date-time timezone for the profile.
- This element is not used if the Recurrence element is used.
fixed_date_start:
description:
- The specific date-time start for the profile.
- This element is not used if the Recurrence element is used.
fixed_date_end:
description:
- The specific date-time end for the profile.
- This element is not used if the Recurrence element is used.
rules:
description:
- The collection of rules that provide the triggers and parameters for the scaling action.
- A maximum of 10 rules can be specified.
suboptions:
time_aggregation:
default: Average
description: How the data that is collected should be combined over time.
choices:
- Average
- Minimum
- Maximum
- Total
- Count
time_window:
required: true
description:
- The range of time(minutes) in which instance data is collected.
- This value must be greater than the delay in metric collection, which can vary from resource-to-resource.
- Must be between 5 ~ 720.
direction:
description: Whether the scaling action increases or decreases the number of instances.
choices:
- Increase
- Decrease
metric_name:
required: true
description: The name of the metric that defines what the rule monitors.
metric_resource_uri:
description: The resource identifier of the resource the rule monitors.
value:
description:
- The number of instances that are involved in the scaling action.
- This value must be 1 or greater.
operator:
default: GreaterThan
description: The operator that is used to compare the metric data and the threshold.
choices:
- Equals
- NotEquals
- GreaterThan
- GreaterThanOrEqual
- LessThan
- LessThanOrEqual
cooldown:
description:
- The amount of time (minutes) to wait since the last scaling action before this action occurs.
- It must be between 1 ~ 10080.
time_grain:
required: true
description:
- The granularity(minutes) of metrics the rule monitors.
- Must be one of the predefined values returned from metric definitions for the metric.
- Must be between 1 ~ 720.
statistic:
default: Average
description: How the metrics from multiple instances are combined.
choices:
- Average
- Min
- Max
- Sum
threshold:
default: 70
description: The threshold of the metric that triggers the scale action.
type:
description: The type of action that should occur when the scale rule fires.
choices:
- PercentChangeCount
- ExactCount
- ChangeCount
notifications:
description: the collection of notifications.
suboptions:
custom_emails:
description: the custom e-mails list. This value can be null or empty, in which case this attribute will be ignored.
send_to_subscription_administrator:
type: bool
description: A value indicating whether to send email to subscription administrator.
webhooks:
description: The list of webhook notifications service uri.
send_to_subscription_co_administrators:
type: bool
description: A value indicating whether to send email to subscription co-administrators.
state:
default: present
description: Assert the state of the virtual network. Use 'present' to create or update and 'absent' to delete.
choices:
- present
- absent
location:
description: location of the resource.
name:
required: true
description: name of the resource.
extends_documentation_fragment:
- azure
- azure_tags
author:
- "Yuwei Zhou (@yuwzho)"
'''
EXAMPLES = '''
- name: Create an auto scale
azure_rm_autoscale:
target: "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss"
enabled: true
profiles:
- count: '1'
recurrence_days:
- Monday
name: Auto created scale condition
recurrence_timezone: China Standard Time
recurrence_mins:
- '0'
min_count: '1'
max_count: '1'
recurrence_frequency: Week
recurrence_hours:
- '18'
name: scale
resource_group: foo
- name: Create an auto scale with compicated profile
azure_rm_autoscale:
target: "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss"
enabled: true
profiles:
- count: '1'
recurrence_days:
- Monday
name: Auto created scale condition 0
rules:
- Time_aggregation: Average
time_window: 10
direction: Increase
metric_name: Percentage CPU
metric_resource_uri: "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss"
value: '1'
threshold: 70
cooldown: 5
time_grain: 1
statistic: Average
operator: GreaterThan
type: ChangeCount
max_count: '1'
recurrence_mins:
- '0'
min_count: '1'
recurrence_timezone: China Standard Time
recurrence_frequency: Week
recurrence_hours:
- '6'
notifications:
- email_admin: True
email_co_admin: False
custom_emails:
- yuwzho@microsoft.com
name: scale
resource_group: foo
- name: Delete an Azure Auto Scale Setting
azure_rm_autoscale:
state: absent
resource_group: foo
name: scale
'''
RETURN = '''
state:
description: Current state of the resource.
returned: always
type: dict
sample: {
"changed": false,
"enabled": true,
"id": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/microsoft.insights/autoscalesettings/scale",
"location": "eastus",
"name": "scale",
"notifications": [
{
"custom_emails": [
"yuwzho@microsoft.com"
],
"send_to_subscription_administrator": true,
"send_to_subscription_co_administrators": false,
"webhooks": []
}
],
"profiles": [
{
"count": "1",
"max_count": "1",
"min_count": "1",
"name": "Auto created scale condition 0",
"recurrence_days": [
"Monday"
],
"recurrence_frequency": "Week",
"recurrence_hours": [
"6"
],
"recurrence_mins": [
"0"
],
"recurrence_timezone": "China Standard Time",
"rules": [
{
"cooldown": 5.0,
"direction": "Increase",
"metric_name": "Percentage CPU",
"metric_resource_uri": "/subscriptions/X/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss",
"operator": "GreaterThan",
"statistic": "Average",
"threshold": 70.0,
"time_aggregation": "Average",
"time_grain": 1.0,
"time_window": 10.0,
"type": "ChangeCount",
"value": "1"
}
]
}
],
"target": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss"
}
''' # NOQA
from ansible.module_utils.azure_rm_common import AzureRMModuleBase, format_resource_id
from datetime import timedelta
try:
from msrestazure.tools import parse_resource_id
from msrestazure.azure_exceptions import CloudError
from azure.mgmt.monitor.models import WebhookNotification, EmailNotification, AutoscaleNotification, RecurrentSchedule, MetricTrigger, \
ScaleAction, AutoscaleSettingResource, AutoscaleProfile, ScaleCapacity, TimeWindow, Recurrence, ScaleRule
from ansible.module_utils._text import to_native
except ImportError:
# This is handled in azure_rm_common
pass
def timedelta_to_minutes(time):
if not time:
return 0
return time.days * 1440 + time.seconds / 60.0 + time.microseconds / 60000000.0
def get_enum_value(item):
if 'value' in dir(item):
return to_native(item.value)
return to_native(item)
def auto_scale_to_dict(instance):
if not instance:
return dict()
return dict(
id=to_native(instance.id or ''),
name=to_native(instance.name),
location=to_native(instance.location),
profiles=[profile_to_dict(p) for p in instance.profiles or []],
notifications=[notification_to_dict(n) for n in instance.notifications or []],
enabled=instance.enabled,
target=to_native(instance.target_resource_uri),
tags=instance.tags
)
def rule_to_dict(rule):
if not rule:
return dict()
result = dict(metric_name=to_native(rule.metric_trigger.metric_name),
metric_resource_uri=to_native(rule.metric_trigger.metric_resource_uri),
time_grain=timedelta_to_minutes(rule.metric_trigger.time_grain),
statistic=get_enum_value(rule.metric_trigger.statistic),
time_window=timedelta_to_minutes(rule.metric_trigger.time_window),
time_aggregation=get_enum_value(rule.metric_trigger.time_aggregation),
operator=get_enum_value(rule.metric_trigger.operator),
threshold=float(rule.metric_trigger.threshold))
if rule.scale_action and to_native(rule.scale_action.direction) != 'None':
result['direction'] = get_enum_value(rule.scale_action.direction)
result['type'] = get_enum_value(rule.scale_action.type)
result['value'] = to_native(rule.scale_action.value)
result['cooldown'] = timedelta_to_minutes(rule.scale_action.cooldown)
return result
def profile_to_dict(profile):
if not profile:
return dict()
result = dict(name=to_native(profile.name),
count=to_native(profile.capacity.default),
max_count=to_native(profile.capacity.maximum),
min_count=to_native(profile.capacity.minimum))
if profile.rules:
result['rules'] = [rule_to_dict(r) for r in profile.rules]
if profile.fixed_date:
result['fixed_date_timezone'] = profile.fixed_date.time_zone
result['fixed_date_start'] = profile.fixed_date.start
result['fixed_date_end'] = profile.fixed_date.end
if profile.recurrence:
if get_enum_value(profile.recurrence.frequency) != 'None':
result['recurrence_frequency'] = get_enum_value(profile.recurrence.frequency)
if profile.recurrence.schedule:
result['recurrence_timezone'] = to_native(str(profile.recurrence.schedule.time_zone))
result['recurrence_days'] = [to_native(r) for r in profile.recurrence.schedule.days]
result['recurrence_hours'] = [to_native(r) for r in profile.recurrence.schedule.hours]
result['recurrence_mins'] = [to_native(r) for r in profile.recurrence.schedule.minutes]
return result
def notification_to_dict(notification):
if not notification:
return dict()
return dict(send_to_subscription_administrator=notification.email.send_to_subscription_administrator if notification.email else False,
send_to_subscription_co_administrators=notification.email.send_to_subscription_co_administrators if notification.email else False,
custom_emails=[to_native(e) for e in notification.email.custom_emails or []],
webhooks=[to_native(w.service_url) for w in notification.webhooks or []])
rule_spec = dict(
metric_name=dict(type='str', required=True),
metric_resource_uri=dict(type='str'),
time_grain=dict(type='float', required=True),
statistic=dict(type='str', choices=['Average', 'Min', 'Max', 'Sum'], default='Average'),
time_window=dict(type='float', required=True),
time_aggregation=dict(type='str', choices=['Average', 'Minimum', 'Maximum', 'Total', 'Count'], default='Average'),
operator=dict(type='str',
choices=['Equals', 'NotEquals', 'GreaterThan', 'GreaterThanOrEqual', 'LessThan', 'LessThanOrEqual'],
default='GreaterThan'),
threshold=dict(type='float', default=70),
direction=dict(type='str', choices=['Increase', 'Decrease']),
type=dict(type='str', choices=['PercentChangeCount', 'ExactCount', 'ChangeCount']),
value=dict(type='str'),
cooldown=dict(type='float')
)
profile_spec = dict(
name=dict(type='str', required=True),
count=dict(type='str', required=True),
max_count=dict(type='str'),
min_count=dict(type='str'),
rules=dict(type='list', elements='dict', options=rule_spec),
fixed_date_timezone=dict(type='str'),
fixed_date_start=dict(type='str'),
fixed_date_end=dict(type='str'),
recurrence_frequency=dict(type='str', choices=['None', 'Second', 'Minute', 'Hour', 'Day', 'Week', 'Month', 'Year'], default='None'),
recurrence_timezone=dict(type='str'),
recurrence_days=dict(type='list', elements='str'),
recurrence_hours=dict(type='list', elements='str'),
recurrence_mins=dict(type='list', elements='str')
)
notification_spec = dict(
send_to_subscription_administrator=dict(type='bool', aliases=['email_admin'], default=False),
send_to_subscription_co_administrators=dict(type='bool', aliases=['email_co_admin'], default=False),
custom_emails=dict(type='list', elements='str'),
webhooks=dict(type='list', elements='str')
)
class AzureRMAutoScale(AzureRMModuleBase):
def __init__(self):
self.module_arg_spec = dict(
resource_group=dict(type='str', required=True),
name=dict(type='str', required=True),
state=dict(type='str', default='present', choices=['present', 'absent']),
location=dict(type='str'),
target=dict(type='raw'),
profiles=dict(type='list', elements='dict', options=profile_spec),
enabled=dict(type='bool', default=True),
notifications=dict(type='list', elements='dict', options=notification_spec)
)
self.results = dict(
changed=False
)
required_if = [
('state', 'present', ['target', 'profiles'])
]
self.resource_group = None
self.name = None
self.state = None
self.location = None
self.tags = None
self.target = None
self.profiles = None
self.notifications = None
self.enabled = None
super(AzureRMAutoScale, self).__init__(self.module_arg_spec, supports_check_mode=True, required_if=required_if)
def exec_module(self, **kwargs):
for key in list(self.module_arg_spec.keys()) + ['tags']:
setattr(self, key, kwargs[key])
results = None
changed = False
self.log('Fetching auto scale settings {0}'.format(self.name))
results = self.get_auto_scale()
if results and self.state == 'absent':
# delete
changed = True
if not self.check_mode:
self.delete_auto_scale()
elif self.state == 'present':
if not self.location:
# Set default location
resource_group = self.get_resource_group(self.resource_group)
self.location = resource_group.location
resource_id = self.target
if isinstance(self.target, dict):
resource_id = format_resource_id(val=self.target.name,
subscription_id=self.target.subscription_id or self.subscription_id,
namespace=self.target.namespace,
types=self.target.types,
resource_group=self.target.resource_group or self.resource_group)
self.target = resource_id
resource_name = self.name
def create_rule_instance(params):
rule = params.copy()
rule['metric_resource_uri'] = rule.get('metric_resource_uri', self.target)
rule['time_grain'] = timedelta(minutes=rule.get('time_grain', 0))
rule['time_window'] = timedelta(minutes=rule.get('time_window', 0))
rule['cooldown'] = timedelta(minutes=rule.get('cooldown', 0))
return ScaleRule(metric_trigger=MetricTrigger(**rule), scale_action=ScaleAction(**rule))
profiles = [AutoscaleProfile(name=p.get('name'),
capacity=ScaleCapacity(minimum=p.get('min_count'),
maximum=p.get('max_count'),
default=p.get('count')),
rules=[create_rule_instance(r) for r in p.get('rules') or []],
fixed_date=TimeWindow(time_zone=p.get('fixed_date_timezone'),
start=p.get('fixed_date_start'),
end=p.get('fixed_date_end')) if p.get('fixed_date_timezone') else None,
recurrence=Recurrence(frequency=p.get('recurrence_frequency'),
schedule=(RecurrentSchedule(time_zone=p.get('recurrence_timezone'),
days=p.get('recurrence_days'),
hours=p.get('recurrence_hours'),
minutes=p.get('recurrence_mins')))
if p.get('recurrence_frequency') else None)) for p in self.profiles or []]
notifications = [AutoscaleNotification(email=EmailNotification(**n),
webhooks=[WebhookNotification(service_uri=w) for w in n.get('webhooks') or []])
for n in self.notifications or []]
if not results:
# create new
changed = True
else:
# check changed
resource_name = results.autoscale_setting_resource_name or self.name
update_tags, tags = self.update_tags(results.tags)
if update_tags:
changed = True
self.tags = tags
if self.target != results.target_resource_uri:
changed = True
if self.enabled != results.enabled:
changed = True
profile_result_set = set([str(profile_to_dict(p)) for p in results.profiles or []])
if profile_result_set != set([str(profile_to_dict(p)) for p in profiles]):
changed = True
notification_result_set = set([str(notification_to_dict(n)) for n in results.notifications or []])
if notification_result_set != set([str(notification_to_dict(n)) for n in notifications]):
changed = True
if changed:
# construct the instance will be send to create_or_update api
results = AutoscaleSettingResource(location=self.location,
tags=self.tags,
profiles=profiles,
notifications=notifications,
enabled=self.enabled,
autoscale_setting_resource_name=resource_name,
target_resource_uri=self.target)
if not self.check_mode:
results = self.create_or_update_auto_scale(results)
# results should be the dict of the instance
self.results = auto_scale_to_dict(results)
self.results['changed'] = changed
return self.results
def get_auto_scale(self):
try:
return self.monitor_client.autoscale_settings.get(self.resource_group, self.name)
except Exception as exc:
self.log('Error: failed to get auto scale settings {0} - {1}'.format(self.name, str(exc)))
return None
def create_or_update_auto_scale(self, param):
try:
return self.monitor_client.autoscale_settings.create_or_update(self.resource_group, self.name, param)
except Exception as exc:
self.fail("Error creating auto scale settings {0} - {1}".format(self.name, str(exc)))
def delete_auto_scale(self):
self.log('Deleting auto scale settings {0}'.format(self.name))
try:
return self.monitor_client.autoscale_settings.delete(self.resource_group, self.name)
except Exception as exc:
self.fail("Error deleting auto scale settings {0} - {1}".format(self.name, str(exc)))
def main():
AzureRMAutoScale()
if __name__ == '__main__':
main()

@ -0,0 +1,177 @@
#!/usr/bin/python
#
# Copyright (c) 2017 Yuwei Zhou, <yuwzho@microsoft.com>
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
---
module: azure_rm_autoscale_facts
version_added: "2.7"
short_description: Get Azure Auto Scale Setting facts.
description:
- Get facts of Auto Scale Setting.
options:
resource_group:
description:
- The name of the resource group.
required: True
name:
description:
- The name of the Auto Scale Setting.
extends_documentation_fragment:
- azure
- azure_tags
author:
- "Yuwei Zhou (@yuwzho)"
'''
EXAMPLES = '''
- name: Get instance of Auto Scale Setting
azure_rm_autoscale_facts:
resource_group: resource_group_name
name: auto_scale_name
- name: List instances of Auto Scale Setting
azure_rm_autoscale_facts:
resource_group: resource_group_name
'''
RETURN = '''
azure_autoscale:
description: List of Azure Scale Settings dicts.
returned: always
type: list
sample: [{
"enabled": true,
"id": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/microsoft.insights/autoscalesettings/scale",
"location": "eastus",
"name": "scale",
"notifications": [
{
"custom_emails": [
"yuwzho@microsoft.com"
],
"send_to_subscription_administrator": true,
"send_to_subscription_co_administrators": false,
"webhooks": []
}
],
"profiles": [
{
"count": "1",
"max_count": "1",
"min_count": "1",
"name": "Auto created scale condition 0",
"recurrence_days": [
"Monday"
],
"recurrence_frequency": "Week",
"recurrence_hours": [
"6"
],
"recurrence_mins": [
"0"
],
"recurrence_timezone": "China Standard Time",
"rules": [
{
"cooldown": 5.0,
"direction": "Increase",
"metric_name": "Percentage CPU",
"metric_resource_uri": "/subscriptions/XX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss",
"operator": "GreaterThan",
"statistic": "Average",
"threshold": 70.0,
"time_aggregation": "Average",
"time_grain": 1.0,
"time_window": 10.0,
"type": "ChangeCount",
"value": "1"
}
]
}
],
"target": "/subscriptions/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX/resourceGroups/foo/providers/Microsoft.Compute/virtualMachineScaleSets/vmss"
}]
'''
from ansible.module_utils.azure_rm_common import AzureRMModuleBase
try:
from msrestazure.azure_exceptions import CloudError
from msrest.serialization import Model
from ansible.modules.cloud.azure.azure_rm_autoscale import auto_scale_to_dict
except ImportError:
# This is handled in azure_rm_common
pass
class AzureRMAutoScaleFacts(AzureRMModuleBase):
def __init__(self):
# define user inputs into argument
self.module_arg_spec = dict(
resource_group=dict(
type='str',
required=True
),
name=dict(
type='str'
)
)
# store the results of the module operation
self.results = dict()
self.resource_group = None
self.name = None
self.tags = None
super(AzureRMAutoScaleFacts, self).__init__(self.module_arg_spec)
def exec_module(self, **kwargs):
for key in list(self.module_arg_spec) + ['tags']:
setattr(self, key, kwargs[key])
if self.resource_group and self.name:
self.results['autoscales'] = self.get()
elif self.resource_group:
self.results['autoscales'] = self.list_by_resource_group()
return self.results
def get(self):
result = []
try:
instance = self.monitor_client.autoscale_settings.get(self.resource_group, self.name)
result = [auto_scale_to_dict(instance)]
except Exception as ex:
self.log('Could not get facts for autoscale {0} - {1}.'.format(self.name, str(ex)))
return result
def list_by_resource_group(self):
results = []
try:
response = self.monitor_client.autoscale_settings.list_by_resource_group(self.resource_group)
results = [auto_scale_to_dict(item) for item in response if self.has_tags(item.tags, self.tags)]
except Exception as ex:
self.log('Could not get facts for autoscale {0} - {1}.'.format(self.name, str(ex)))
return results
def main():
AzureRMAutoScaleFacts()
if __name__ == '__main__':
main()

@ -11,6 +11,7 @@ azure-mgmt-containerservice==3.0.1
azure-mgmt-dns==1.2.0
azure-mgmt-keyvault==0.40.0
azure-mgmt-marketplaceordering==0.1.0
azure-mgmt-monitor==0.5.2
azure-mgmt-network==1.7.1
azure-mgmt-nspkg==2.0.0
azure-mgmt-rdbms==1.2.0

@ -0,0 +1,4 @@
cloud/azure
shippable/azure/group4
destructive
azure_rm_autoscale

@ -0,0 +1,216 @@
- name: Prepare random number
set_fact:
rpfx: "{{ resource_group | hash('md5') | truncate(7, True, '') }}{{ 1000 | random }}"
name: "scale{{ resource_group | hash('md5') | truncate(7, True, '') }}{{ 1000 | random }}"
run_once: yes
- name: Create virtual network
azure_rm_virtualnetwork:
resource_group: "{{ resource_group }}"
name: testVnet
address_prefixes: "10.0.0.0/16"
- name: Add subnet
azure_rm_subnet:
resource_group: "{{ resource_group }}"
name: testSubnet
address_prefix: "10.0.1.0/24"
virtual_network: testVnet
- name: Create VMSS
azure_rm_virtualmachine_scaleset:
resource_group: "{{ resource_group }}"
name: testVMSS{{ rpfx }}
vm_size: Standard_DS1_v2
admin_username: testuser
ssh_password_enabled: true
admin_password: "Password1234!"
capacity: 2
virtual_network_name: testVnet
subnet_name: testSubnet
upgrade_policy: Manual
tier: Standard
managed_disk_type: Standard_LRS
os_disk_caching: ReadWrite
image:
offer: CoreOS
publisher: CoreOS
sku: Stable
version: latest
data_disks:
- lun: 0
disk_size_gb: 64
caching: ReadWrite
managed_disk_type: Standard_LRS
register: vmss
- name: create auto scaling (check mode)
azure_rm_autoscale:
resource_group: "{{ resource_group }}"
name: "{{ name }}"
target: "{{ vmss.ansible_facts.azure_vmss.id }}"
enabled: true
profiles:
- count: '1'
recurrence_days:
- Monday
name: Auto created scale condition
recurrence_timezone: China Standard Time
recurrence_mins:
- '0'
min_count: '1'
max_count: '1'
recurrence_frequency: Week
recurrence_hours:
- '18'
check_mode: yes
register: output
- assert:
that:
- output.changed
- name: create auto scaling
azure_rm_autoscale:
resource_group: "{{ resource_group }}"
name: "{{ name }}"
target: "{{ vmss.ansible_facts.azure_vmss.id }}"
enabled: true
profiles:
- count: '1'
recurrence_days:
- Monday
name: Auto created scale condition
recurrence_timezone: China Standard Time
recurrence_mins:
- '0'
min_count: '1'
max_count: '1'
recurrence_frequency: Week
recurrence_hours:
- '18'
register: output
- assert:
that:
- output.changed
- output.id
- name: create auto scaling (idemponent)
azure_rm_autoscale:
resource_group: "{{ resource_group }}"
name: "{{ name }}"
target: "{{ vmss.ansible_facts.azure_vmss.id }}"
enabled: true
profiles:
- count: '1'
recurrence_days:
- Monday
name: Auto created scale condition
recurrence_timezone: China Standard Time
recurrence_mins:
- '0'
min_count: '1'
max_count: '1'
recurrence_frequency: Week
recurrence_hours:
- '18'
register: output
- assert:
that:
- not output.changed
- output.id
- name: update auto scaling
azure_rm_autoscale:
resource_group: "{{ resource_group }}"
name: "{{ name }}"
target: "{{ vmss.ansible_facts.azure_vmss.id }}"
enabled: true
profiles:
- count: '1'
recurrence_days:
- Monday
name: Auto created scale condition 0
rules:
- time_aggregation: Average
time_window: 10
direction: Increase
metric_name: Percentage CPU
metric_resource_uri: "{{ vmss.ansible_facts.azure_vmss.id }}"
value: '1'
threshold: 70
cooldown: 5
time_grain: 1
statistic: Average
operator: GreaterThan
type: ChangeCount
max_count: '1'
recurrence_mins:
- '0'
min_count: '1'
recurrence_timezone: China Standard Time
recurrence_frequency: Week
recurrence_hours:
- '6'
register: output
- assert:
that:
- output.changed
- output.profiles[0].rules[0].metric_resource_uri == vmss.ansible_facts.azure_vmss.id
- name: delete auto scaling (check mode)
azure_rm_autoscale:
resource_group: "{{ resource_group }}"
name: "{{ name }}"
state: absent
check_mode: yes
register: output
- assert:
that:
- output.changed
- name: delete auto scaling
azure_rm_autoscale:
resource_group: "{{ resource_group }}"
name: "{{ name }}"
state: absent
register: output
- assert:
that:
- output.changed
- name: delete auto scaling (idemponetent)
azure_rm_autoscale:
resource_group: "{{ resource_group }}"
name: "{{ name }}"
state: absent
register: output
- assert:
that:
- not output.changed
- name: Clean VMSS
azure_rm_virtualmachine_scaleset:
resource_group: "{{ resource_group }}"
vm_size: Standard_DS1_v2
name: testVMSS{{ rpfx }}
state: absent
- name: Clean subnet
azure_rm_subnet:
resource_group: "{{ resource_group }}"
name: testSubnet
virtual_network: testVnet
state: absent
- name: Clean virtual network
azure_rm_virtualnetwork:
resource_group: "{{ resource_group }}"
name: testVnet
state: absent

@ -11,6 +11,7 @@ azure-mgmt-containerservice==3.0.1
azure-mgmt-dns==1.2.0
azure-mgmt-keyvault==0.40.0
azure-mgmt-marketplaceordering==0.1.0
azure-mgmt-monitor==0.5.2
azure-mgmt-network==1.7.1
azure-mgmt-nspkg==2.0.0
azure-mgmt-rdbms==1.2.0

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