Boto / Cloudwatch 恢复实例报警

Question

我一直在用头撞墙，试图完成这项工作。 我正在尝试使用 python/boto 创建一个恢复失败的 ec2 实例的 cloutwatch 警报。 我很难让 ec2:RecoverInstance 操作起作用。我怀疑我的主题设置不正确。

topics = sns_conn.get_all_topics()

topic = topics[u'ListTopicsResponse']['ListTopicsResult']['Topics'][0]['TopicArn']

# arn:aws:sns:us-east-1:*********:CloudWatch

status_check_failed_alarm = boto.ec2.cloudwatch.alarm.MetricAlarm(
         connection=cw_conn,
         name=_INSTANCE_NAME + "RECOVERY-High-Status-Check-Failed-Any",
         metric='StatusCheckFailed',
         namespace='AWS/EC2',
         statistic='Average',
         comparison='>=',
         description='status check for %s %s' % (_INSTANCE, _INSTANCE_NAME),
         threshold=1.0,
         period=60,
         evaluation_periods=5,
         dimensions={'InstanceId': _INSTANCE},
         # alarm_actions = [topic],
         ok_actions=[topic],
         insufficient_data_actions=[topic])

# status_check_failed_alarm.add_alarm_action('arn:aws:sns:us-east-1:<acct#>:ec2:recover')
# status_check_failed_alarm.add_alarm_action('arn:aws:sns:us-east-1:<acct#>:ec2:RecoverInstances')
status_check_failed_alarm.add_alarm_action('ec2:RecoverInstances')

cw_conn.put_metric_alarm(status_check_failed_alarm)

任何建议将不胜感激。

谢谢。

--麦克

Answer 1

我认为问题在于这些警报操作在arn 中没有<acct>。 cli reference 记录了有效的 arns：

有效值：arn:aws:automate:region:ec2:stop | arn:aws:automate:区域:ec2:terminate | arn:aws:automate:区域:ec2:recover

我认为从 AWS 中提取指标并从中创建警报比尝试从头开始构建它更容易，例如（未经测试的代码）：

topics = sns_conn.get_all_topics()
topic = topics[u'ListTopicsResponse']['ListTopicsResult']['Topics'][0]['TopicArn']

metric = cloudwatch_conn.list_metrics(dimensions={'InstanceId': _INSTANCE},
                                      metric_name="StatusCheckFailed")[0]
alarm = metric.create_alarm(name=_INSTANCE_NAME + "RECOVERY-High-Status-Check-Failed-Any",
                            description='status check for {} {}'.format(_INSTANCE, _INSTANCE_NAME),
                            alarm_actions=[topic, 'arn:aws:automate:us-east-1:ec2:recover'],
                            ok_actions=[topic],
                            insufficient_data_actions=[topic],
                            statistic='Average',
                            comparison='>=',
                            threshold=1.0,
                            period=60,
                            evaluation_periods=5)