Publishes metric data to Amazon CloudWatch. CloudWatch associates the data with the specified metric. If the specified metric does not exist, CloudWatch creates the metric. When CloudWatch creates a metric, it can take up to fifteen minutes for the metric to appear in calls toListMetrics.
You can publish metrics with associated entity data (so that related telemetry can be found and viewed together), or publish metric data by itself. To send entity data with your metrics, use theEntityMetricData
parameter. To send metrics without entity data, use theMetricData
parameter. TheEntityMetricData
structure includesMetricData
structures for the metric data.
You can publish either individual values in theValue
field, or arrays of values and the number of times each value occurred during the period by using theValues
andCounts
fields in theMetricData
structure. Using theValues
andCounts
method enables you to publish up to 150 values per metric with onePutMetricData
request, and supports retrieving percentile statistics on this data.
EachPutMetricData
request is limited to 1 MB in size for HTTP POST requests. You can send a payload compressed by gzip. Each request is also limited to no more than 1000 different metrics (across both theMetricData
andEntityMetricData
properties).
Although theValue
parameter accepts numbers of typeDouble
, CloudWatch rejects values that are either too small or too large. Values must be in the range of -2^360 to 2^360. In addition, special values (for example, NaN, +Infinity, -Infinity) are not supported.
You can use up to 30 dimensions per metric to further clarify what data the metric collects. Each dimension consists of a Name and Value pair. For more information about specifying dimensions, seePublishing Metrics in theAmazon CloudWatch User Guide.
You specify the time stamp to be associated with each data point. You can specify time stamps that are as much as two weeks before the current date, and as much as 2 hours after the current day and time.
Data points with time stamps from 24 hours ago or longer can take at least 48 hours to become available forGetMetricData orGetMetricStatistics from the time they are submitted. Data points with time stamps between 3 and 24 hours ago can take as much as 2 hours to become available forGetMetricData orGetMetricStatistics.
CloudWatch needs raw data points to calculate percentile statistics. If you publish data using a statistic set instead, you can only retrieve percentile statistics for this data if one of the following conditions is true:
TheSampleCount
value of the statistic set is 1 andMin
,Max
, andSum
are all equal.
TheMin
andMax
are equal, andSum
is equal toMin
multiplied bySampleCount
.
Data for metrics that contain associated entity information. You can include up to twoEntityMetricData
objects, each of which can contain a singleEntity
and associated metrics.
The limit of metrics allowed, 1000, is the sum of bothEntityMetricData
andMetricData
metrics.
Type: Array ofEntityMetricData objects
Required: No
The data for the metrics. Use this parameter if your metrics do not contain associated entities. The array can include no more than 1000 metrics per call.
The limit of metrics allowed, 1000, is the sum of bothEntityMetricData
andMetricData
metrics.
Type: Array ofMetricDatum objects
Required: No
The namespace for the metric data. You can use ASCII characters for the namespace, except for control characters which are not supported.
To avoid conflicts with AWS service namespaces, you should not specify a namespace that begins withAWS/
Type: String
Length Constraints: Minimum length of 1. Maximum length of 255.
Pattern:[^:].*
Required: Yes
Whether to accept valid metric data when an invalid entity is sent.
When set totrue
: Any validation error (for entity or metric data) will fail the entire request, and no data will be ingested. The failed operation will return a 400 result with the error.
When set tofalse
: Validation errors in the entity will not associate the metric with the entity, but the metric data will still be accepted and ingested. Validation errors in the metric data will fail the entire request, and no data will be ingested.
In the case of an invalid entity, the operation will return a200
status, but an additional response header will contain information about the validation errors. The new header,X-Amzn-Failure-Message
is an enumeration of the following values:
InvalidEntity
- The provided entity is invalid.
InvalidKeyAttributes
- The providedKeyAttributes
of an entity is invalid.
InvalidAttributes
- The providedAttributes
of an entity is invalid.
InvalidTypeValue
- The providedType
in theKeyAttributes
of an entity is invalid.
EntitySizeTooLarge
- The number ofEntityMetricData
objects allowed is 2.
MissingRequiredFields
- There are missing required fields in theKeyAttributes
for the providedType
.
For details of the requirements for specifying an entity, seeHow to add related information to telemetry in theCloudWatch User Guide.
This parameter isrequired whenEntityMetricData
is included.
Type: Boolean
Required: No
For information about the errors that are common to all actions, seeCommon Errors.
Request processing has failed due to some unknown error, exception, or failure.
HTTP Status Code: 500
Parameters were used together that cannot be used together.
HTTP Status Code: 400
The value of an input parameter is bad or out-of-range.
HTTP Status Code: 400
An input parameter that is required is missing.
HTTP Status Code: 400
The following example puts data for a single metric containing one dimension:
https://monitoring.us-west-1.amazonaws.com?Action=PutMetricData&Version=2010-08-01&Namespace=TestNamespace&MetricData.member.1.MetricName=buffers&MetricData.member.1.Unit=Bytes&MetricData.member.1.Value=231434333&MetricData.member.1.Dimensions.member.1.Name=InstanceType&MetricData.member.1.Dimensions.member.1.Value=m1.small&AUTHPARAMS
The following example puts data for a single metric containing two dimensions:
https://monitoring.us-west-1.amazonaws.com?Action=PutMetricData&Version=2010-08-01&Namespace=TestNamespace&MetricData.member.1.MetricName=buffers&MetricData.member.1.Unit=Bytes&MetricData.member.1.Value=231434333&MetricData.member.1.Dimensions.member.1.Name=InstanceID&MetricData.member.1.Dimensions.member.1.Value=i-aaba32d4&MetricData.member.1.Dimensions.member.2.Name=InstanceType&MetricData.member.1.Dimensions.member.2.Value=m1.small&AUTHPARAMS
The following example puts data for two metrics, each with two dimensions:
https://monitoring.us-west-1.amazonaws.com?Action=PutMetricData&Version=2010-08-01&Namespace=TestNamespace&MetricData.member.1.MetricName=buffers&MetricData.member.1.Unit=Bytes&MetricData.member.1.Value=231434333&MetricData.member.1.Dimensions.member.1.Name=InstanceID&MetricData.member.1.Dimensions.member.1.Value=i-aaba32d4&MetricData.member.1.Dimensions.member.2.Name=InstanceType&MetricData.member.1.Dimensions.member.2.Value=m1.small&MetricData.member.2.MetricName=latency&MetricData.member.2.Unit=Milliseconds&MetricData.member.2.Value=23&MetricData.member.2.Dimensions.member.1.Name=InstanceID&MetricData.member.2.Dimensions.member.1.Value=i-aaba32d4&MetricData.member.2.Dimensions.member.2.Name=InstanceType&MetricData.member.2.Dimensions.member.2.Value=m1.small&AUTHPARAMS
The following example puts data for a high-resolution metric:
https://monitoring.us-west-1.amazonaws.com?Action=PutMetricData&Version=2010-08-01&Namespace=HighResolutionMetric&MetricData.member.1.MetricName=HighResdata&MetricData.member.1.Unit=Bytes&MetricData.member.1.Value=542868&MetricData.member.1.StorageResolution=1&AUTHPARAMS
The following example puts multiple values for each of two metrics, usingValues
andCounts
arrays:
https://monitoring.us-west-1.amazonaws.com?Action=PutMetricData&Version=2010-08-01&Namespace=TestNamespace&MetricData.member.1.MetricName=Reads&MetricData.member.1.Unit=Count&MetricData.member.1.Values.member.1=5&MetricData.member.1.Values.member.2=8&MetricData.member.1.Values.member.3=10&MetricData.member.1.Values.member.4=9&MetricData.member.1.Counts.member.1=1&MetricData.member.1.Counts.member.2=5&MetricData.member.1.Counts.member.3=6&MetricData.member.1.Counts.member.4=5&MetricData.member.1.Dimensions.member.1.Name=InstanceID&MetricData.member.1.Dimensions.member.1.Value=i-aaba32d4&MetricData.member.2.MetricName=Writes&MetricData.member.2.Unit=Count&MetricData.member.2.Values.member.1=2&MetricData.member.2.Values.member.2=3&MetricData.member.2.Values.member.3=0&MetricData.member.2.Counts.member.1=2&MetricData.member.2.Counts.member.2=2&MetricData.member.2.Counts.member.3=1&MetricData.member.2.Dimensions.member.1.Name=InstanceID&MetricData.member.2.Dimensions.member.1.Value=i-aaba32d4&AUTHPARAMS
The following example usesEntityMetricData
to put a metric with entity data for a service running in Amazon EC2:
https://monitoring.us-west-1.amazonaws.com?Action=PutMetricData&Version=2010-08-01&StrictEntityValidation=true&Namespace=TestNamespace&EntityMetricData.member.1.Entity.KeyAttributes.entry.1.key=Type&EntityMetricData.member.1.Entity.KeyAttributes.entry.1.value=Service&EntityMetricData.member.1.Entity.KeyAttributes.entry.2.key=Name&EntityMetricData.member.1.Entity.KeyAttributes.entry.2.value=MyTestService&EntityMetricData.member.1.Entity.KeyAttributes.entry.3.key=Environment&EntityMetricData.member.1.Entity.KeyAttributes.entry.3.value=MyTestEnvironment&EntityMetricData.member.1.Entity.Attributes.entry.1.key=PlatformType&EntityMetricData.member.1.Entity.Attributes.entry.1.value=AWS::EC2&EntityMetricData.member.1.Entity.Attributes.entry.2.key=EC2.InstanceId&EntityMetricData.member.1.Entity.Attributes.entry.2.value=i-1234567890abcdef0&EntityMetricData.member.1.MetricData.member.1.MetricName=buffers&EntityMetricData.member.1.MetricData.member.1.Timestamp=2024-11-06T02:16:28Z&EntityMetricData.member.1.MetricData.member.1.Unit=Count&EntityMetricData.member.1.MetricData.member.1.Values.member.1=2&EntityMetricData.member.1.MetricData.member.1.Values.member.2=3&EntityMetricData.member.1.MetricData.member.1.Values.member.3=0&EntityMetricData.member.1.MetricData.member.1.Counts.member.1=2&EntityMetricData.member.1.MetricData.member.1.Counts.member.2=2&EntityMetricData.member.1.MetricData.member.1.Counts.member.3=1&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.1.Name=InstanceID&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.1.Value=i-aaba32d4&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.2.Name=InstanceType&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.2.Value=m1.small&AUTHPARAMS
The following example usesEntityMetricData
to put a metric with entity data for a service running in Lambda:
https://monitoring.us-west-1.amazonaws.com?Action=PutMetricData&Version=2010-08-01&StrictEntityValidation=true&Namespace=TestNamespace&EntityMetricData.member.1.Entity.KeyAttributes.entry.1.key=Type&EntityMetricData.member.1.Entity.KeyAttributes.entry.1.value=Service&EntityMetricData.member.1.Entity.KeyAttributes.entry.2.key=Name&EntityMetricData.member.1.Entity.KeyAttributes.entry.2.value=MyTestService&EntityMetricData.member.1.Entity.KeyAttributes.entry.3.key=Environment&EntityMetricData.member.1.Entity.KeyAttributes.entry.3.value=MyTestEnvironment&EntityMetricData.member.1.Entity.Attributes.entry.1.key=PlatformType&EntityMetricData.member.1.Entity.Attributes.entry.1.value=AWS::Lambda&EntityMetricData.member.1.Entity.Attributes.entry.2.key=Lambda.Function&EntityMetricData.member.1.Entity.Attributes.entry.2.value=MyTestFunction&EntityMetricData.member.1.MetricData.member.1.MetricName=faults&EntityMetricData.member.1.MetricData.member.1.Timestamp=2024-11-06T02:16:28Z&EntityMetricData.member.1.MetricData.member.1.Unit=Count&EntityMetricData.member.1.MetricData.member.1.Values.member.1=2&EntityMetricData.member.1.MetricData.member.1.Values.member.2=3&EntityMetricData.member.1.MetricData.member.1.Values.member.3=0&EntityMetricData.member.1.MetricData.member.1.Counts.member.1=2&EntityMetricData.member.1.MetricData.member.1.Counts.member.2=2&EntityMetricData.member.1.MetricData.member.1.Counts.member.3=1&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.1.Name=InstanceID&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.1.Value=i-aaba32d4&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.2.Name=InstanceType&EntityMetricData.member.1.MetricData.member.1.Dimensions.member.2.Value=m1.small&AUTHPARAMS
For more information about using this API in one of the language-specific AWS SDKs, see the following: