可以通过设置合适的报警阈值和验证过程来解决此问题。以下是一些解决方法和示例代码:
示例代码:
aws cloudwatch put-metric-alarm --alarm-name cpu_alarm --alarm-description "CPU Utilization Trigger" --metric-name CPUUtilization --namespace AWS/EC2 --statistic Average --period 60 --threshold 80 --comparison-operator GreaterThanThreshold --dimensions "Name=InstanceId,Value=i-01234567890" --evaluation-periods 1 --alarm-actions
示例代码:
aws sns create-topic --name my_topic
aws lambda create-function --function-name my_lambda_function --runtime python3.8 --handler lambda_function.handler --role
aws cloudwatch put-metric-alarm --alarm-name cpu_alarm --alarm-description "CPU Utilization Trigger" --metric-name CPUUtilization --namespace AWS/EC2 --statistic Average --period 60 --threshold 80 --comparison-operator GreaterThanThreshold --dimensions "Name=InstanceId,Value=i-01234567890" --evaluation-periods 1 --alarm-actions
import json def handler(event, context): message = json.loads(event['Records'][0]['Sns']['Message']) alarm_name = message['AlarmName'] new_state = message['NewStateValue'] if new_state == 'ALARM': # 进行验证逻辑 # 发送通知给开发人员或记录虚假触发的日志