CloudWatch 自攜容器的指標 - Amazon SageMaker

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

CloudWatch 自攜容器的指標

如果 publish_cloudwatch_metrics值Enabled位於 /opt/ml/processing/processingjobconfig.json 檔案的Environment映射中，容器程式碼會在此位置發出 Amazon CloudWatch 指標：/opt/ml/output/metrics/cloudwatch。

此檔案的結構描述以 PutMetrics 為基礎 CloudWatchAPI。此處未指定命名空間。它預設為下列項目：

  • For real-time endpoints: /aws/sagemaker/Endpoint/data-metrics

  • For batch transform jobs: /aws/sagemaker/ModelMonitoring/data-metrics

但是，您可以指定維度。建議您至少增加以下維度：

  • 適用於即時端點的 Endpoint 和 MonitoringSchedule

  • 適用於批次轉換工作的 MonitoringSchedule

下列JSON程式碼片段說明如何設定維度。

如需即時端點，請參閱下列程式碼片段，其中包含 JSON Endpoint和 MonitoringSchedule維度：

{ 
    "MetricName": "", # Required
    "Timestamp": "2019-11-26T03:00:00Z", # Required
    "Dimensions" : [{"Name":"Endpoint","Value":"endpoint_0"},{"Name":"MonitoringSchedule","Value":"schedule_0"}]
    "Value": Float,
    # Either the Value or the StatisticValues field can be populated and not both.
    "StatisticValues": {
        "SampleCount": Float,
        "Sum": Float,
        "Minimum": Float,
        "Maximum": Float
    },
    "Unit": "Count", # Optional
}

如需批次轉換任務，請參閱下列程式碼JSON片段，其中包含 MonitoringSchedule 維度：

{ 
    "MetricName": "", # Required
    "Timestamp": "2019-11-26T03:00:00Z", # Required
    "Dimensions" : [{"Name":"MonitoringSchedule","Value":"schedule_0"}]
    "Value": Float,
    # Either the Value or the StatisticValues field can be populated and not both.
    "StatisticValues": {
        "SampleCount": Float,
        "Sum": Float,
        "Minimum": Float,
        "Maximum": Float
    },
    "Unit": "Count", # Optional
}