【教程】使用AWS Lambda 监控 AWS Lightsail 流量限额，超额自动关机

突然发现日志流这里是空的，什么情况？之前创建的有问题，全部东西删除重新创建发现没有日志了。

解决了！因为连日志写入权限一块儿删除了导致的，重新添加即可！

好用，bd！

教程】使用AWS Lambda 监控 AWS Lightsail 流量限额，超额自动关机

可以用脚本限流关机了

感谢楼主，已部署。

我开的是2C2G 60G配置的机型,月流量3T的流量，奇怪，为什么函数返回我每月只有2T的额度？

找到原因了，代码里面的流量应该是按总流量和可用日期做了平均。
实际aws的流量是按月计算的。
让GPT把代码调整了一下：

import json
import boto3
import calendar
from datetime import datetime, date, time

def get_current_month_first_day_zero_time():
    today = date.today()
    first_day = today.replace(day=1)
    return datetime.combine(first_day, time.min)
    
def get_current_time_utc():
    return datetime.utcnow()

def stop_instance(instance_name):
    client = boto3.client('lightsail')
    response = client.stop_instance(
        instanceName=instance_name,
        force=True
    )
    print(f"Stopped instance: {instance_name}")
    
def list_instances():
    client = boto3.client('lightsail')
    instances_list = []
    paginator = client.get_paginator('get_instances')
    page_iterator = paginator.paginate()
    for page in page_iterator:
        for instance in page['instances']:
            print(f"Found instance: {instance['name']}")
            instances_list.append(instance['name'])
    return instances_list
        
def get_monthly_quota(instance_name):
    client = boto3.client('lightsail')
    response = client.get_instance(instanceName=instance_name)
    quota_gb = response['instance']['networking']['monthlyTransfer']['gbPerMonthAllocated']
    print(f"Instance {instance_name} monthly quota: {quota_gb} GB")
    return quota_gb
    
def get_instance_data_usage(instance_name, data_type):
    client = boto3.client('lightsail')
    start_time = get_current_month_first_day_zero_time()
    end_time = get_current_time_utc()
    
    response = client.get_instance_metric_data(
        instanceName=instance_name,
        metricName=data_type,
        period=86400,  # 1 day
        unit='Bytes',
        statistics=['Sum'],
        startTime=start_time,
        endTime=end_time
    )
    
    data_points = response.get('metricData', [])
    total_usage_bytes = sum([dp['sum'] for dp in data_points])
    print(f"Total {data_type} usage for {instance_name}: {total_usage_bytes} Bytes")
    return total_usage_bytes
    
def lambda_handler(event, context):
    instances = list_instances()
    for instance_name in instances:
        quota_gb = get_monthly_quota(instance_name)
        quota_bytes = quota_gb * 1024 ** 3  # GB to Bytes
        
        network_out_bytes = get_instance_data_usage(instance_name, "NetworkOut")
        network_in_bytes = get_instance_data_usage(instance_name, "NetworkIn")
        total_usage_bytes = network_out_bytes + network_in_bytes
        
        usage_percent = (total_usage_bytes / quota_bytes) * 100 if quota_bytes > 0 else 0
        
        msg = (f"Instance: {instance_name}\n"
               f"Usage: {total_usage_bytes} Bytes\n"
               f"Quota: {quota_bytes} Bytes\n"
               f"Usage Percent: {usage_percent:.2f}%")
        print(msg)
        
        # 如果使用超过90%，停止实例
        if total_usage_bytes >= 0.9 * quota_bytes:
            print(f"Usage exceeds 90% quota, stopping instance: {instance_name}")
            stop_instance(instance_name)
            
    return {
        'statusCode': 200,
        'body': json.dumps('Lightsail network usage checked successfully.')
    }

感谢分享，已部署

感谢分享，已部署