使用 AWS CLI 的 CloudWatch 示例

删除警报

以下示例使用 delete-alarms 命令删除名为“myalarm”的 Amazon CloudWatch 警报：

aws cloudwatch delete-alarms --alarm-names myalarm

输出：

This command returns to the prompt if successful.

删除指定的异常检测模型

以下 delete-anomaly-detector 示例删除了指定账户中的异常检测器模型。

aws cloudwatch delete-anomaly-detector \
    --namespace AWS/Logs \
    --metric-name IncomingBytes \
    --stat SampleCount

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的删除异常检测模型。

删除指定的控制面板

以下 delete-dashboards 示例删除了指定账户中名为 Dashboard-A 和 Dashboard-B 的两个控制面板。

aws cloudwatch delete-dashboards \
    --dashboard-names Dashboard-A Dashboard-B

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Amazon CloudWatch 控制面板。

删除指定的 Contributor Insights 规则

以下 delete-insight-rules 示例删除指定账户中两个分别名为 Rule-A 和 Rule-B 的 Contributor Insights 规则。

aws cloudwatch delete-insight-rules \
    --rule-names Rule-A Rule-B

输出：

{
    "Failures": []
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Contributor Insights 分析高基数数据。

删除指定的指标流

以下 delete-metric-stream 示例删除指定账户中名为 QuickPartial-gSCKvO 的指标流。

aws cloudwatch delete-metric-stream \
    --name QuickPartial-gSCKvO

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用指标流。

检索警报的历史记录

以下示例使用 describe-alarm-history 命令检索名为“myalarm”的 Amazon CloudWatch 警报的历史记录：

aws cloudwatch describe-alarm-history --alarm-name "myalarm" --history-item-type StateUpdate

输出：

{
    "AlarmHistoryItems": [
        {
            "Timestamp": "2014-04-09T18:59:06.442Z",
            "HistoryItemType": "StateUpdate",
            "AlarmName": "myalarm",
            "HistoryData": "{\"version\":\"1.0\",\"oldState\":{\"stateValue\":\"ALARM\",\"stateReason\":\"testing purposes\"},\"newState\":{\"stateValue\":\"OK\",\"stateReason\":\"Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.958, 40.292].\",\"stateReasonData\":{\"version\":\"1.0\",\"queryDate\":\"2014-04-09T18:59:06.419+0000\",\"startDate\":\"2014-04-09T18:44:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.958,40.292],\"threshold\":70.0}}}",
            "HistorySummary": "Alarm updated from ALARM to OK"
        },
        {
            "Timestamp": "2014-04-09T18:59:05.805Z",
            "HistoryItemType": "StateUpdate",
            "AlarmName": "myalarm",
            "HistoryData": "{\"version\":\"1.0\",\"oldState\":{\"stateValue\":\"OK\",\"stateReason\":\"Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.839999999999996, 39.714].\",\"stateReasonData\":{\"version\":\"1.0\",\"queryDate\":\"2014-03-11T22:45:41.569+0000\",\"startDate\":\"2014-03-11T22:30:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.839999999999996,39.714],\"threshold\":70.0}},\"newState\":{\"stateValue\":\"ALARM\",\"stateReason\":\"testing purposes\"}}",
            "HistorySummary": "Alarm updated from OK to ALARM"
        }
    ]
}

显示与指标关联的警报的相关信息

以下示例使用 describe-alarms-for-metric 命令显示与 Amazon EC2 CPUUtilization 指标和 ID 为 i-0c986c72 的实例关联的任何警报的相关信息：

aws cloudwatch describe-alarms-for-metric --metric-name CPUUtilization --namespace AWS/EC2 --dimensions Name=InstanceId,Value=i-0c986c72

输出：

{
    "MetricAlarms": [
        {
            "EvaluationPeriods": 10,
            "AlarmArn": "arn:aws:cloudwatch:us-east-1:111122223333:alarm:myHighCpuAlarm2",
            "StateUpdatedTimestamp": "2013-10-30T03:03:51.479Z",
            "AlarmConfigurationUpdatedTimestamp": "2013-10-30T03:03:50.865Z",
            "ComparisonOperator": "GreaterThanOrEqualToThreshold",
            "AlarmActions": [
                "arn:aws:sns:us-east-1:111122223333:NotifyMe"
            ],
            "Namespace": "AWS/EC2",
            "AlarmDescription": "CPU usage exceeds 70 percent",
            "StateReasonData": "{\"version\":\"1.0\",\"queryDate\":\"2013-10-30T03:03:51.479+0000\",\"startDate\":\"2013-10-30T02:08:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[40.698,39.612,42.432,39.796,38.816,42.28,42.854,40.088,40.760000000000005,41.316],\"threshold\":70.0}",
            "Period": 300,
            "StateValue": "OK",
            "Threshold": 70.0,
            "AlarmName": "myHighCpuAlarm2",
            "Dimensions": [
                {
                    "Name": "InstanceId",
                    "Value": "i-0c986c72"
                }
            ],
            "Statistic": "Average",
            "StateReason": "Threshold Crossed: 10 datapoints were not greater than or equal to the threshold (70.0). The most recent datapoints: [40.760000000000005, 41.316].",
            "InsufficientDataActions": [],
            "OKActions": [],
            "ActionsEnabled": true,
            "MetricName": "CPUUtilization"
        },
        {
            "EvaluationPeriods": 2,
            "AlarmArn": "arn:aws:cloudwatch:us-east-1:111122223333:alarm:myHighCpuAlarm",
            "StateUpdatedTimestamp": "2014-04-09T18:59:06.442Z",
            "AlarmConfigurationUpdatedTimestamp": "2014-04-09T22:26:05.958Z",
            "ComparisonOperator": "GreaterThanThreshold",
            "AlarmActions": [
                "arn:aws:sns:us-east-1:111122223333:HighCPUAlarm"
            ],
            "Namespace": "AWS/EC2",
            "AlarmDescription": "CPU usage exceeds 70 percent",
            "StateReasonData": "{\"version\":\"1.0\",\"queryDate\":\"2014-04-09T18:59:06.419+0000\",\"startDate\":\"2014-04-09T18:44:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.958,40.292],\"threshold\":70.0}",
            "Period": 300,
            "StateValue": "OK",
            "Threshold": 70.0,
            "AlarmName": "myHighCpuAlarm",
            "Dimensions": [
                {
                    "Name": "InstanceId",
                    "Value": "i-0c986c72"
                }
            ],
            "Statistic": "Average",
            "StateReason": "Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.958, 40.292].",
            "InsufficientDataActions": [],
            "OKActions": [],
            "ActionsEnabled": false,
            "MetricName": "CPUUtilization"
        }
    ]
}

列出有关警报的信息

以下示例使用 describe-alarms 命令提供名为“myalarm”的警报的相关信息：

aws cloudwatch describe-alarms --alarm-names "myalarm"

输出：

{
    "MetricAlarms": [
        {
            "EvaluationPeriods": 2,
            "AlarmArn": "arn:aws:cloudwatch:us-east-1:123456789012:alarm:myalarm",
            "StateUpdatedTimestamp": "2014-04-09T18:59:06.442Z",
            "AlarmConfigurationUpdatedTimestamp": "2012-12-27T00:49:54.032Z",
            "ComparisonOperator": "GreaterThanThreshold",
            "AlarmActions": [
                "arn:aws:sns:us-east-1:123456789012:myHighCpuAlarm"
            ],
            "Namespace": "AWS/EC2",
            "AlarmDescription": "CPU usage exceeds 70 percent",
            "StateReasonData": "{\"version\":\"1.0\",\"queryDate\":\"2014-04-09T18:59:06.419+0000\",\"startDate\":\"2014-04-09T18:44:00.000+0000\",\"statistic\":\"Average\",\"period\":300,\"recentDatapoints\":[38.958,40.292],\"threshold\":70.0}",
            "Period": 300,
            "StateValue": "OK",
            "Threshold": 70.0,
            "AlarmName": "myalarm",
            "Dimensions": [
                {
                    "Name": "InstanceId",
                    "Value": "i-0c986c72"
                }
            ],
            "Statistic": "Average",
            "StateReason": "Threshold Crossed: 2 datapoints were not greater than the threshold (70.0). The most recent datapoints: [38.958, 40.292].",
            "InsufficientDataActions": [],
            "OKActions": [],
            "ActionsEnabled": true,
            "MetricName": "CPUUtilization"
        }
    ]
}

检索异常检测模型的列表

以下 describe-anomaly-detectors 示例显示了有关与指定账户中 AWS/Logs 命名空间关联的异常检测器模型的信息。

aws cloudwatch describe-anomaly-detectors \
    --namespace AWS/Logs

输出：

{
    "AnomalyDetectors": [
        {
            "Namespace": "AWS/Logs",
            "MetricName": "IncomingBytes",
            "Dimensions": [],
            "Stat": "SampleCount",
            "Configuration": {
                "ExcludedTimeRanges": []
            },
            "StateValue": "TRAINED",
            "SingleMetricAnomalyDetector": {
                "AccountId": "123456789012",
                "Namespace": "AWS/Logs",
                "MetricName": "IncomingBytes",
                "Dimensions": [],
                "Stat": "SampleCount"
            }
        },
        {
            "Namespace": "AWS/Logs",
            "MetricName": "IncomingBytes",
            "Dimensions": [
                {
                    "Name": "LogGroupName",
                    "Value": "demo"
                }
            ],
            "Stat": "Average",
            "Configuration": {
                "ExcludedTimeRanges": []
            },
            "StateValue": "PENDING_TRAINING",
            "SingleMetricAnomalyDetector": {
                "AccountId": "123456789012",
                "Namespace": "AWS/Logs",
                "MetricName": "IncomingBytes",
                "Dimensions": [
                    {
                        "Name": "LogGroupName",
                        "Value": "demo"
                    }
                ],
                "Stat": "Average"
            }
        }
    ]
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南中》的使用 CloudWatch 异常检测。

检索 Contributor Insights 规则列表

以下 describe-insight-rules 示例显示指定账户中的所有 Contributor Insights 规则。

aws cloudwatch describe-insight-rules

输出：

{
    "InsightRules": [
        {
            "Name": "Rule-A",
            "State": "ENABLED",
            "Schema": "CloudWatchLogRule/1",
            "Definition": "{\n\t\"AggregateOn\": \"Count\",\n\t\"Contribution\": {\n\t\t\"Filters\": [],\n\t\t\"Keys\": [\n\t\t\t\"$.requestId\"\n\t\t]\n\t},\n\t\"LogFormat\": \"JSON\",\n\t\"Schema\": {\n\t\t\"Name\": \"CloudWatchLogRule\",\n\t\t\"Version\": 1\n\t},\n\t\"LogGroupARNs\": [\n\t\t\"arn:aws:logs:us-east-1:123456789012:log-group:demo\"\n\t]\n}",
            "ManagedRule": false
        },
        {
            "Name": "Rule-B",
            "State": "ENABLED",
            "Schema": "CloudWatchLogRule/1",
            "Definition": "{\n\t\"AggregateOn\": \"Count\",\n\t\"Contribution\": {\n\t\t\"Filters\": [],\n\t\t\"Keys\": [\n\t\t\t\"$.requestId\"\n\t\t]\n\t},\n\t\"LogFormat\": \"JSON\",\n\t\"Schema\": {\n\t\t\"Name\": \"CloudWatchLogRule\",\n\t\t\"Version\": 1\n\t},\n\t\"LogGroupARNs\": [\n\t\t\"arn:aws:logs:us-east-1:123456789012:log-group:demo-1\"\n\t]\n}",
            "ManagedRule": false
        }
    ]
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Contributor Insights 分析高基数数据。

禁用警报的操作

以下示例使用 disable-alarm-actions 命令禁用名为 myalarm 的警报的所有操作：

aws cloudwatch disable-alarm-actions --alarm-names myalarm

如果成功，该命令将返回到提示符。

禁用指定的 Contributor Insights 规则

以下 disable-insight-rules 示例禁用指定账户中两个分别名为 Rule-A 和 Rule-B 的 Contributor Insights 规则。

aws cloudwatch disable-insight-rules \
    --rule-names Rule-A Rule-B

输出：

{
    "Failures": []
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Contributor Insights 分析高基数数据。

启用警报的所有操作

以下示例使用 enable-alarm-actions 命令启用名为 myalarm 的警报的所有操作：

aws cloudwatch enable-alarm-actions --alarm-names myalarm

如果成功，该命令将返回到提示符。

启用指定的 Contributor Insights 规则

以下 enable-insight-rules 示例启用指定账户中两个分别名为 Rule-A 和 Rule-B 的 Contributor Insights 规则。

aws cloudwatch enable-insight-rules \
    --rule-names Rule-A Rule-B

输出：

{
    "Failures": []
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Contributor Insights 分析高基数数据。

检索有关控制面板的信息

以下 get-dashboard 示例显示了有关指定账户中名为 Dashboard-A 的控制面板的信息。

aws cloudwatch get-dashboard \
    --dashboard-name Dashboard-A

输出：

{
    "DashboardArn": "arn:aws:cloudwatch::123456789012:dashboard/Dashboard-A",
    "DashboardBody": "{\"widgets\":[{\"type\":\"metric\",\"x\":0,\"y\":0,\"width\":6,\"height\":6,\"properties\":{\"view\":\"timeSeries\",\"stacked\":false,\"metrics\":[[\"AWS/EC2\",\"NetworkIn\",\"InstanceId\",\"i-0131f062232ade043\"],[\".\",\"NetworkOut\",\".\",\".\"]],\"region\":\"us-east-1\"}}]}",
    "DashboardName": "Dashboard-A"
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Amazon CloudWatch 控制面板。

检索 Contributor Insights 规则收集的时间序列数据

以下 get-insight-rule-report 示例返回 Contributor Insights 规则收集的时间序列数据。

aws cloudwatch get-insight-rule-report \
    --rule-name Rule-A \
    --start-time 2024-10-13T20:15:00Z \
    --end-time 2024-10-13T20:30:00Z \
    --period 300

输出：

{
    "KeyLabels": [
        "PartitionKey"
    ],
    "AggregationStatistic": "Sum",
    "AggregateValue": 0.5,
    "ApproximateUniqueCount": 1,
    "Contributors": [
        {
            "Keys": [
                "RequestID"
            ],
            "ApproximateAggregateValue": 0.5,
            "Datapoints": [
                {
                    "Timestamp": "2024-10-13T21:00:00+00:00",
                    "ApproximateValue": 0.5
                }
            ]
        }
    ],
    "RuleAttributes": []
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Contributor Insights 分析高基数数据。

示例 1：使用数学表达式获取指定 EC2 的平均总 IOPS

以下 get-metric-data 示例使用组合 EBSReadOps 和 EBSWriteOps 指标的指标数学表达式检索 InstanceID 为 i-abcdef 的 EC2 实例 CloudWatch 指标值。

aws cloudwatch get-metric-data \
    --metric-data-queries file://file.json \
    --start-time 2024-09-29T22:10:00Z \
    --end-time 2024-09-29T22:15:00Z

file.json 的内容：

[
    {
        "Id": "m3",
        "Expression": "(m1+m2)/300",
        "Label": "Avg Total IOPS"
    },
    {
        "Id": "m1",
        "MetricStat": {
            "Metric": {
                "Namespace": "AWS/EC2",
                "MetricName": "EBSReadOps",
                "Dimensions": [
                    {
                        "Name": "InstanceId",
                        "Value": "i-abcdef"
                    }
                ]
            },
            "Period": 300,
            "Stat": "Sum",
            "Unit": "Count"
        },
        "ReturnData": false
    },
    {
        "Id": "m2",
        "MetricStat": {
            "Metric": {
                "Namespace": "AWS/EC2",
                "MetricName": "EBSWriteOps",
                "Dimensions": [
                    {
                        "Name": "InstanceId",
                        "Value": "i-abcdef"
                    }
                ]
            },
            "Period": 300,
            "Stat": "Sum",
            "Unit": "Count"
        },
        "ReturnData": false
    }
]

输出：

{
    "MetricDataResults": [
        {
            "Id": "m3",
            "Label": "Avg Total IOPS",
            "Timestamps": [
                "2024-09-29T22:10:00+00:00"
            ],
            "Values": [
                96.85
            ],
            "StatusCode": "Complete"
        }
    ],
    "Messages": []
}

示例 2：使用 CloudWatch 账单指标监控预估 AWS 费用

以下 get-metric-data 示例从 AWS/Billing 命名空间检索 EstimatedCharges CloudWatch 指标。

aws cloudwatch get-metric-data \
    --metric-data-queries '[{"Id":"m1","MetricStat":{"Metric":{"Namespace":"AWS/Billing","MetricName":"EstimatedCharges","Dimensions":[{"Name":"Currency","Value":"USD"}]},"Period":21600,"Stat":"Maximum"}}]' \
    --start-time 2024-09-26T12:00:00Z \
    --end-time 2024-09-26T18:00:00Z \
    --region us-east-1

输出：

{
    "MetricDataResults": [
        {
            "Id": "m1",
            "Label": "EstimatedCharges",
            "Timestamps": [
                "2024-09-26T12:00:00+00:00"
            ],
            "Values": [
                542.38
            ],
            "StatusCode": "Complete"
        }
    ],
    "Messages": []
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的将数学表达式与 CloudWatch 指标结合使用。

获取每个 EC2 实例的 CPU 利用率

以下示例使用 get-metric-statistics 命令获取 ID 为 i-abcdef 的 EC2 实例的 CPU 利用率。

aws cloudwatch get-metric-statistics --metric-name CPUUtilization --start-time 2014-04-08T23:18:00Z --end-time 2014-04-09T23:18:00Z --period 3600 --namespace AWS/EC2 --statistics Maximum --dimensions Name=InstanceId,Value=i-abcdef

输出：

{
    "Datapoints": [
        {
            "Timestamp": "2014-04-09T11:18:00Z",
            "Maximum": 44.79,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T20:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T19:18:00Z",
            "Maximum": 50.85,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T09:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T03:18:00Z",
            "Maximum": 76.84,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T21:18:00Z",
            "Maximum": 48.96,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T14:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T08:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T16:18:00Z",
            "Maximum": 45.55,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T06:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T13:18:00Z",
            "Maximum": 45.08,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T05:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T18:18:00Z",
            "Maximum": 46.88,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T17:18:00Z",
            "Maximum": 52.08,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T07:18:00Z",
            "Maximum": 47.92,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T02:18:00Z",
            "Maximum": 51.23,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T12:18:00Z",
            "Maximum": 47.67,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-08T23:18:00Z",
            "Maximum": 46.88,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T10:18:00Z",
            "Maximum": 51.91,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T04:18:00Z",
            "Maximum": 47.13,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T15:18:00Z",
            "Maximum": 48.96,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T00:18:00Z",
            "Maximum": 48.16,
            "Unit": "Percent"
        },
        {
            "Timestamp": "2014-04-09T01:18:00Z",
            "Maximum": 49.18,
            "Unit": "Percent"
        }
    ],
    "Label": "CPUUtilization"
}

指定多个维度

以下示例说明如何指定多个维度。每个维度都指定为一个“名称/值”对，名称和值之间用逗号隔开。多个维度之间用空格隔开。如果单个指标包含多个维度，则必须为每个已定义的维度指定一个值。

有关使用 get-metric-statistics 命令的更多示例，请参阅《Amazon CloudWatch 开发人员指南》中的“获取指标的统计数据”。

aws cloudwatch get-metric-statistics --metric-name Buffers --namespace MyNameSpace --dimensions Name=InstanceID,Value=i-abcdef Name=InstanceType,Value=m1.small --start-time 2016-10-15T04:00:00Z --end-time 2016-10-19T07:00:00Z --statistics Average --period 60

检索有关指标流的信息

以下 get-metric-stream 示例显示有关指定账户中名为 QuickFull-GuaFbs 的指标流的信息。

aws cloudwatch get-metric-stream \
    --name QuickFull-GuaFbs

输出：

{
    "Arn": "arn:aws:cloudwatch:us-east-1:123456789012:metric-stream/QuickFull-GuaFbs",
    "Name": "QuickFull-GuaFbs",
    "FirehoseArn": "arn:aws:firehose:us-east-1:123456789012:deliverystream/MetricStreams-QuickFull-GuaFbs-WnySbECG",
    "RoleArn": "arn:aws:iam::123456789012:role/service-role/MetricStreams-FirehosePutRecords-JN10W9B3",
    "State": "running",
    "CreationDate": "2024-10-11T18:48:59.187000+00:00",
    "LastUpdateDate": "2024-10-11T18:48:59.187000+00:00",
    "OutputFormat": "json",
    "IncludeLinkedAccountsMetrics": false
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用指标流。

检索 CPUUtilization 的快照图

以下 get-metric-widget-image 示例检索 ID 为 i-abcde 的 EC2 实例的指标 CPUUtilization 快照图，并将检索到的图像保存为本地计算机上名为“image.png”的文件。

aws cloudwatch get-metric-widget-image \
    --metric-widget '{"metrics":[["AWS/EC2","CPUUtilization","InstanceId","i-abcde"]]}' \
    --output-format png \
    --output text | base64 --decode > image.png

此命令不生成任何输出。

检索控制面板的列表

以下 list-dashboards 示例列出了指定账户中的所有控制面板。

aws cloudwatch list-dashboards

输出：

{
    "DashboardEntries": [
        {
            "DashboardName": "Dashboard-A",
            "DashboardArn": "arn:aws:cloudwatch::123456789012:dashboard/Dashboard-A",
            "LastModified": "2024-10-11T18:40:11+00:00",
            "Size": 271
        },
        {
            "DashboardName": "Dashboard-B",
            "DashboardArn": "arn:aws:cloudwatch::123456789012:dashboard/Dashboard-B",
            "LastModified": "2024-10-11T18:44:41+00:00",
            "Size": 522
        }
    ]
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用 Amazon CloudWatch 控制面板。

检索指标流列表

以下 list-metric-streams 示例列出指定账户中的所有指标流。

aws cloudwatch list-metric-streams

输出：

{
    "Entries": [
        {
            "Arn": "arn:aws:cloudwatch:us-east-1:123456789012:metric-stream/QuickFull-GuaFbs",
            "CreationDate": "2024-10-11T18:48:59.187000+00:00",
            "LastUpdateDate": "2024-10-11T18:48:59.187000+00:00",
            "Name": "QuickFull-GuaFbs",
            "FirehoseArn": "arn:aws:firehose:us-east-1:123456789012:deliverystream/MetricStreams-QuickFull-GuaFbs-WnySbECG",
            "State": "running",
            "OutputFormat": "json"
        }
    ]
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用指标流。

列出 Amazon SNS 的指标

以下 list-metrics 示例显示 Amazon SNS 的指标。

aws cloudwatch list-metrics \
    --namespace "AWS/SNS"

输出：

{
    "Metrics": [
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "PublishSize"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "PublishSize"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "NumberOfNotificationsFailed"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "NumberOfNotificationsDelivered"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "NotifyMe"
                }
            ],
            "MetricName": "NumberOfMessagesPublished"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "NumberOfMessagesPublished"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "NumberOfNotificationsDelivered"
        },
        {
            "Namespace": "AWS/SNS",
            "Dimensions": [
                {
                    "Name": "TopicName",
                    "Value": "CFO"
                }
            ],
            "MetricName": "NumberOfNotificationsFailed"
        }
    ]
}

列出与现有警报关联的标签*

以下 list-tags-for-resource 示例列出与指定账户中名为 demo 的警报关联的所有标签。

aws cloudwatch list-tags-for-resource \
    --resource-arn arn:aws:cloudwatch:us-east-1:123456789012:alarm:demo

输出：

{
    "Tags": [
        {
            "Key": "stack",
            "Value": "Production"
        },
        {
            "Key": "team",
            "Value": "Devops"
        }
    ]
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的警报和标记。

创建异常检测模型

以下 put-anomaly-detector 示例为 CloudWatch 指标创建了异常检测模型。

aws cloudwatch put-anomaly-detector \
    --namespace AWS/Logs \
    --metric-name IncomingBytes \
    --stat SampleCount

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南中》的使用 CloudWatch 异常检测。

创建复合 CloudWatch 警报

以下 put-composite-alarm 示例在指定账户中创建名为 ProdAlarm 的复合警报。

aws cloudwatch put-composite-alarm \
    --alarm-name ProdAlarm \
    --alarm-rule "ALARM(CPUUtilizationTooHigh) AND ALARM(MemUsageTooHigh)" \
    --alarm-actions arn:aws:sns:us-east-1:123456789012:demo \
    --actions-enabled

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的创建复合警报。

创建仪表板

以下 put-dashboard 示例在指定账户中创建了名为 Dashboard-A 的控制面板。

aws cloudwatch put-dashboard \
    --dashboard-name Dashboard-A \
    --dashboard-body '{"widgets":[{"height":6,"width":6,"y":0,"x":0,"type":"metric","properties":{"view":"timeSeries","stacked":false,"metrics":[["Namespace","CPUUtilization","Environment","Prod","Type","App"]],"region":"us-east-1"}}]}'

输出：

{
    "DashboardValidationMessages": []
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的创建 Amazon CloudWatch 控制面板。

创建 Contributor Insights 规则

以下 put-insight-rule 示例在指定账户中创建名为 VPCFlowLogsContributorInsights 的 Contributor Insights 规则。

aws cloudwatch put-insight-rule \
    --rule-name VPCFlowLogsContributorInsights \
    --rule-definition file://insight-rule.json \
    --rule-state ENABLED

insight-rule.json 的内容：

{
    "Schema": {
        "Name": "CloudWatchLogRule",
        "Version": 1
    },
    "AggregateOn": "Count",
    "Contribution": {
        "Filters": [],
        "Keys": [
            "tcp-flag"
        ]
    },
    "LogFormat": "CLF",
    "LogGroupNames": [
        "/vpc/flowlogs/*"
    ],
    "Fields": {
        "23": "tcp-flag"
    }
}

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的在 CloudWatch 中创建 Contributor Insights 规则。

在 CPU 利用率超过 70% 时发送 Amazon Simple Notification Service 电子邮件消息

以下示例使用 put-metric-alarm 命令在 CPU 利用率超过 70% 时发送 Amazon Simple Notification Service 电子邮件消息：

aws cloudwatch put-metric-alarm --alarm-name cpu-mon --alarm-description "Alarm when CPU exceeds 70 percent" --metric-name CPUUtilization --namespace AWS/EC2 --statistic Average --period 300 --threshold 70 --comparison-operator GreaterThanThreshold  --dimensions "Name=InstanceId,Value=i-12345678" --evaluation-periods 2 --alarm-actions arn:aws:sns:us-east-1:111122223333:MyTopic --unit Percent

如果成功，该命令将返回到提示符。如果已存在同名警报，则该警报将被新警报覆盖。

指定多个维度

以下示例说明了如何指定多个维度。每个维度都指定为一个“名称/值”对，名称和值之间用逗号隔开。多个维度之间用空格隔开：

aws cloudwatch put-metric-alarm --alarm-name "Default_Test_Alarm3" --alarm-description "The default example alarm" --namespace "CW EXAMPLE METRICS" --metric-name Default_Test --statistic Average --period 60 --evaluation-periods 3 --threshold 50 --comparison-operator GreaterThanOrEqualToThreshold --dimensions Name=key1,Value=value1 Name=key2,Value=value2

向 Amazon CloudWatch 发布自定义指标

以下示例使用 put-metric-data 命令向 Amazon CloudWatch 发布自定义指标：

aws cloudwatch put-metric-data --namespace "Usage Metrics" --metric-data file://metric.json

指标本身的值存储在 JSON 文件 metric.json 中。

以下是该文件的内容：

[
  {
    "MetricName": "New Posts",
    "Timestamp": "Wednesday, June 12, 2013 8:28:20 PM",
    "Value": 0.50,
    "Unit": "Count"
  }
]

有关更多信息，请参阅《Amazon CloudWatch 开发人员指南》中的“发布自定义指标”。

指定多个维度

以下示例说明了如何指定多个维度。每个维度都指定为一个 Name=Value 对。多个维度之间用逗号隔开：

aws cloudwatch put-metric-data --metric-name Buffers --namespace MyNameSpace --unit Bytes --value 231434333 --dimensions InstanceID=1-23456789,InstanceType=m1.small

创建指标流

以下 put-metric-stream 示例在指定账户中创建名为 QuickFull-GuaFb 的指标流。

aws cloudwatch put-metric-stream \
    --name QuickFull-GuaFbs \
    --firehose-arn arn:aws:firehose:us-east-1:123456789012:deliverystream/MetricStreams-QuickFull-GuaFbs-WnySbECG \
    --role-arn arn:aws:iam::123456789012:role/service-role/MetricStreams-FirehosePutRecords-JN10W9B3 \
    --output-format json \
    --no-include-linked-accounts-metrics

输出：

{
    "Arn": "arn:aws:cloudwatch:us-east-1:123456789012:metric-stream/QuickFull-GuaFbs"
}

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的设置指标流。

暂时更改警报的状态

以下示例使用 set-alarm-state 命令暂时更改名为“myalarm”的 Amazon CloudWatch 警报的状态，并将其设置为 ALARM 状态以进行测试：

aws cloudwatch set-alarm-state --alarm-name "myalarm" --state-value ALARM --state-reason "testing purposes"

如果成功，该命令将返回到提示符。

启动指定的指标流

以下 start-metric-streams 示例启动指定账户中名为 QuickFull-GuaFbs 的指标流。

aws cloudwatch start-metric-streams \
    --names QuickFull-GuaFbs

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用指标流。

停止指定的指标流

以下 stop-metric-streams 示例停止指定账户中名为 QuickFull-GuaFbs 的指标流。

aws cloudwatch stop-metric-streams \
    --names QuickFull-GuaFbs

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的使用指标流。

为指定资源添加一个或多个标签

以下 tag-resource 示例为指定账户中名为 demo 的 CloudWatch 警报添加 2 个标签。

aws cloudwatch tag-resource \
    --resource-arn arn:aws:cloudwatch:us-east-1:123456789012:alarm:demo \
    --tags Key=stack,Value=Production Key=team,Value=Devops

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的标记 Amazon CloudWatch 资源。

从指定资源中移除一个或多个标签

以下 untag-resource 示例从指定账户中名为 demo 的 CloudWatch 警报中移除 2 个标签。

aws cloudwatch untag-resource \
    --resource-arn arn:aws:cloudwatch:us-east-1:123456789012:alarm:demo \
    --tag-keys stack team

此命令不生成任何输出。

有关更多信息，请参阅《Amazon CloudWatch 用户指南》中的标记 Amazon CloudWatch 资源。