本文整理匯總了Python中boto.ec2.autoscale.AutoScaleConnection.attach_instances方法的典型用法代碼示例。如果您正苦於以下問題：Python AutoScaleConnection.attach_instances方法的具體用法？Python AutoScaleConnection.attach_instances怎麽用？Python AutoScaleConnection.attach_instances使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類boto.ec2.autoscale.AutoScaleConnection的用法示例。
在下文中一共展示了AutoScaleConnection.attach_instances方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: from boto.ec2.autoscale import AutoScaleConnection [as 別名]
# 或者: from boto.ec2.autoscale.AutoScaleConnection import attach_instances [as 別名]
#.........這裏部分代碼省略.........
lc = lcs[0] if lcs else None
if not lc:
lc = LaunchConfiguration(
name=name,
image_id=image,
key_name=key_name,
security_groups=[security_groups],
instance_type=instance_type,
)
self.auto_scale_conn.create_launch_configuration(lc)
return lc
def remove_launch_configuration(self, name):
self.auto_scale_conn.delete_launch_configuration(name)
def create_autoscaling_group(self, name, lb_name, zone, tags, instance_ids=None):
lc = self.create_launch_configuration()
as_groups = [a for a in self.auto_scale_conn.get_all_groups() if a.name == name]
as_group = as_groups[0] if as_groups else None
if not as_group:
as_group = AutoScalingGroup(
group_name=name,
load_balancers=[lb_name],
availability_zones=[zone],
launch_config=lc,
min_size=4,
max_size=4,
health_check_type="ELB",
health_check_period=120,
connection=self.auto_scale_conn,
default_cooldown=self.default_cooldown,
desired_capacity=4,
tags=tags,
)
self.auto_scale_conn.create_auto_scaling_group(as_group)
if instance_ids:
self.auto_scale_conn.attach_instances(name, instance_ids)
scale_up_policy = ScalingPolicy(
name="scale_up",
adjustment_type="ChangeInCapacity",
as_name=name,
scaling_adjustment=1,
cooldown=self.default_cooldown,
)
scale_down_policy = ScalingPolicy(
name="scale_down",
adjustment_type="ChangeInCapacity",
as_name=name,
scaling_adjustment=-1,
cooldown=self.default_cooldown,
)
self.auto_scale_conn.create_scaling_policy(scale_up_policy)
self.auto_scale_conn.create_scaling_policy(scale_down_policy)
scale_up_policy = self.auto_scale_conn.get_all_policies(as_group=name, policy_names=["scale_up"])[0]
scale_down_policy = self.auto_scale_conn.get_all_policies(as_group=name, policy_names=["scale_down"])[0]
alarm_dimensions = {"AutoScalingGroupName": name}
scale_up_alarm = MetricAlarm(
name="scale_up_on_cpu",
namespace="AWS/EC2",
metric="CPUUtilization",
statistic="Average",
comparison=">",
threshold=85,
period=60,
evaluation_periods=1,
alarm_actions=[scale_up_policy.policy_arn],
dimensions=alarm_dimensions,
)
self.cloud_watch_conn.create_alarm(scale_up_alarm)
scale_down_alarm = MetricAlarm(
name="scale_down_on_cpu",
namespace="AWS/EC2",
metric="CPUUtilization",
statistic="Average",
comparison="<",
threshold=60,
period=60,
evaluation_periods=1,
alarm_actions=[scale_down_policy.policy_arn],
dimensions=alarm_dimensions,
)
self.cloud_watch_conn.create_alarm(scale_down_alarm)
return as_group
def update_autoscaling_group_max_size(self, as_group, max_size):
setattr(as_group, "max_size", max_size)
as_group.update()
def update_autoscaling_group_min_size(self, as_group, min_size):
setattr(as_group, "min_size", min_size)
as_group.update()
def remove_autoscaling_group(self, name):
self.auto_scale_conn.delete_auto_scaling_group(name)