amazon-web-services - 只读 AWS CLI 访问严格的 CloudWatch 计费指标

Question

我只需要为某人提供对我们 CloudWatch 计费指标的只读 AWS CLI 访问权限。我不确定如何执行此操作，因为 CloudWatch 没有任何可以控制访问的特定资源。这意味着在 IAM 策略中没有要指定的 ARN，因此，策略中的任何资源指定都是“*”。有关 CloudWatch ARN 限制的更多信息，请访问 here .我考虑使用 namespaces但我相信“aws-portal”命名空间是用于控制台的。任何方向或想法都非常感谢。

使用当前的 CloudWatch ARN 限制，IAM 策略看起来像这样。

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Action": [
        "cloudwatch:DescribeMetricData",
        "cloudwatch:GetMetricData"
      ],
      "Effect": "Allow",
      "Resource": "*"
    }
  ]
}

Answer 1

正如您所说，您将无法在 CloudWatch 中实现这一目标。根据docs :

CloudWatch doesn't have any specific resources for you to control access to... For example, you can't give a user access to CloudWatch data for only a specific set of EC2 instances or a specific load balancer. Permissions granted using IAM cover all the cloud resources you use or monitor with CloudWatch.

另一种选择可能是:

使用 Scheduled events在 lambda 函数上定期将相关计费指标从 Cloudwatch 导出到 S3 存储桶。例如，使用 Python SDK，lambda 可能如下所示:

import boto3
from datetime import datetime, timedelta
def lambda_handler(event, context):
    try:
        bucket_name = "so-billing-metrics"
        filename = '-'.join(['billing', datetime.now().strftime("%Y-%m-%d-%H")])
        region_name = "us-east-1"
        dimensions = {'Name': 'Currency', 'Value':'USD'}
        metric_name = 'EstimatedCharges'
        namespace = 'AWS/Billing'
        start_time = datetime.now() - timedelta(hours = 1)
        end_time = datetime.now()

        # Create CloudWatch client
        cloudwatch = boto3.client('cloudwatch', region_name=region_name)  

        # Get billing metrics for the last hour
        metrics = cloudwatch.get_metric_statistics(
            Dimensions=[dimensions], 
            MetricName=metric_name, 
            Namespace=namespace,
            StartTime=start_time,
            EndTime=end_time,
            Period=60,
            Statistics=['Sum'])

        # Save data to temp file
        with open('/tmp/billingmetrics', 'wb') as f:
            # Write header and data
            f.write("Timestamp, Cost")
            for entry in metrics['Datapoints']:
                f.write(",".join([entry['Timestamp'].strftime('%Y-%m-%d %H:%M:%S'), str(entry['Sum']), entry['Unit']]))

        # Upload temp file to S3
        s3 = boto3.client('s3')
        with open('/tmp/billingmetrics', 'rb') as data:
            s3.upload_fileobj(data, bucket_name, filename)

    except Exception as e:
        print str(e)
        return 0
    return 1

备注 :您需要确保 Lambda 函数具有写入 S3 和从 cloudwatch 读取的相关权限。

将 IAM 用户/角色限制为对 S3 存储桶的只读访问权限。