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Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.logging/v2.Metric

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Creates a logs-based metric.

    Create Metric Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Metric(name: string, args: MetricArgs, opts?: CustomResourceOptions);
    @overload
def Metric(resource_name: str,
           args: MetricArgs,
           opts: Optional[ResourceOptions] = None)

@overload
def Metric(resource_name: str,
           opts: Optional[ResourceOptions] = None,
           filter: Optional[str] = None,
           bucket_name: Optional[str] = None,
           bucket_options: Optional[BucketOptionsArgs] = None,
           description: Optional[str] = None,
           disabled: Optional[bool] = None,
           label_extractors: Optional[Mapping[str, str]] = None,
           metric_descriptor: Optional[MetricDescriptorArgs] = None,
           name: Optional[str] = None,
           project: Optional[str] = None,
           value_extractor: Optional[str] = None,
           version: Optional[MetricVersion] = None)
    func NewMetric(ctx *Context, name string, args MetricArgs, opts ...ResourceOption) (*Metric, error)
    public Metric(string name, MetricArgs args, CustomResourceOptions? opts = null)
    public Metric(String name, MetricArgs args)
public Metric(String name, MetricArgs args, CustomResourceOptions options)

    type: google-native:logging/v2:Metric
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args MetricArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args MetricArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args MetricArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args MetricArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args MetricArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var metricResource = new GoogleNative.Logging.V2.Metric("metricResource", new()
{
    Filter = "string",
    BucketName = "string",
    BucketOptions = new GoogleNative.Logging.V2.Inputs.BucketOptionsArgs
    {
        ExplicitBuckets = new GoogleNative.Logging.V2.Inputs.ExplicitArgs
        {
            Bounds = new[]
            {
                0,
            },
        },
        ExponentialBuckets = new GoogleNative.Logging.V2.Inputs.ExponentialArgs
        {
            GrowthFactor = 0,
            NumFiniteBuckets = 0,
            Scale = 0,
        },
        LinearBuckets = new GoogleNative.Logging.V2.Inputs.LinearArgs
        {
            NumFiniteBuckets = 0,
            Offset = 0,
            Width = 0,
        },
    },
    Description = "string",
    Disabled = false,
    LabelExtractors = 
    {
        { "string", "string" },
    },
    MetricDescriptor = new GoogleNative.Logging.V2.Inputs.MetricDescriptorArgs
    {
        Description = "string",
        DisplayName = "string",
        Labels = new[]
        {
            new GoogleNative.Logging.V2.Inputs.LabelDescriptorArgs
            {
                Description = "string",
                Key = "string",
                ValueType = GoogleNative.Logging.V2.LabelDescriptorValueType.String,
            },
        },
        LaunchStage = GoogleNative.Logging.V2.MetricDescriptorLaunchStage.LaunchStageUnspecified,
        Metadata = new GoogleNative.Logging.V2.Inputs.MetricDescriptorMetadataArgs
        {
            IngestDelay = "string",
            SamplePeriod = "string",
        },
        MetricKind = GoogleNative.Logging.V2.MetricDescriptorMetricKind.MetricKindUnspecified,
        MonitoredResourceTypes = new[]
        {
            "string",
        },
        Name = "string",
        Type = "string",
        Unit = "string",
        ValueType = GoogleNative.Logging.V2.MetricDescriptorValueType.ValueTypeUnspecified,
    },
    Name = "string",
    Project = "string",
    ValueExtractor = "string",
});

    example, err := logging.NewMetric(ctx, "metricResource", &logging.MetricArgs{
	Filter:     pulumi.String("string"),
	BucketName: pulumi.String("string"),
	BucketOptions: &logging.BucketOptionsArgs{
		ExplicitBuckets: &logging.ExplicitArgs{
			Bounds: pulumi.Float64Array{
				pulumi.Float64(0),
			},
		},
		ExponentialBuckets: &logging.ExponentialArgs{
			GrowthFactor:     pulumi.Float64(0),
			NumFiniteBuckets: pulumi.Int(0),
			Scale:            pulumi.Float64(0),
		},
		LinearBuckets: &logging.LinearArgs{
			NumFiniteBuckets: pulumi.Int(0),
			Offset:           pulumi.Float64(0),
			Width:            pulumi.Float64(0),
		},
	},
	Description: pulumi.String("string"),
	Disabled:    pulumi.Bool(false),
	LabelExtractors: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	MetricDescriptor: &logging.MetricDescriptorArgs{
		Description: pulumi.String("string"),
		DisplayName: pulumi.String("string"),
		Labels: logging.LabelDescriptorArray{
			&logging.LabelDescriptorArgs{
				Description: pulumi.String("string"),
				Key:         pulumi.String("string"),
				ValueType:   logging.LabelDescriptorValueTypeString,
			},
		},
		LaunchStage: logging.MetricDescriptorLaunchStageLaunchStageUnspecified,
		Metadata: &logging.MetricDescriptorMetadataArgs{
			IngestDelay:  pulumi.String("string"),
			SamplePeriod: pulumi.String("string"),
		},
		MetricKind: logging.MetricDescriptorMetricKindMetricKindUnspecified,
		MonitoredResourceTypes: pulumi.StringArray{
			pulumi.String("string"),
		},
		Name:      pulumi.String("string"),
		Type:      pulumi.String("string"),
		Unit:      pulumi.String("string"),
		ValueType: logging.MetricDescriptorValueTypeValueTypeUnspecified,
	},
	Name:           pulumi.String("string"),
	Project:        pulumi.String("string"),
	ValueExtractor: pulumi.String("string"),
})

    var metricResource = new Metric("metricResource", MetricArgs.builder()
    .filter("string")
    .bucketName("string")
    .bucketOptions(BucketOptionsArgs.builder()
        .explicitBuckets(ExplicitArgs.builder()
            .bounds(0)
            .build())
        .exponentialBuckets(ExponentialArgs.builder()
            .growthFactor(0)
            .numFiniteBuckets(0)
            .scale(0)
            .build())
        .linearBuckets(LinearArgs.builder()
            .numFiniteBuckets(0)
            .offset(0)
            .width(0)
            .build())
        .build())
    .description("string")
    .disabled(false)
    .labelExtractors(Map.of("string", "string"))
    .metricDescriptor(MetricDescriptorArgs.builder()
        .description("string")
        .displayName("string")
        .labels(LabelDescriptorArgs.builder()
            .description("string")
            .key("string")
            .valueType("STRING")
            .build())
        .launchStage("LAUNCH_STAGE_UNSPECIFIED")
        .metadata(MetricDescriptorMetadataArgs.builder()
            .ingestDelay("string")
            .samplePeriod("string")
            .build())
        .metricKind("METRIC_KIND_UNSPECIFIED")
        .monitoredResourceTypes("string")
        .name("string")
        .type("string")
        .unit("string")
        .valueType("VALUE_TYPE_UNSPECIFIED")
        .build())
    .name("string")
    .project("string")
    .valueExtractor("string")
    .build());

    metric_resource = google_native.logging.v2.Metric("metricResource",
    filter="string",
    bucket_name="string",
    bucket_options={
        "explicit_buckets": {
            "bounds": [0],
        },
        "exponential_buckets": {
            "growth_factor": 0,
            "num_finite_buckets": 0,
            "scale": 0,
        },
        "linear_buckets": {
            "num_finite_buckets": 0,
            "offset": 0,
            "width": 0,
        },
    },
    description="string",
    disabled=False,
    label_extractors={
        "string": "string",
    },
    metric_descriptor={
        "description": "string",
        "display_name": "string",
        "labels": [{
            "description": "string",
            "key": "string",
            "value_type": google_native.logging.v2.LabelDescriptorValueType.STRING,
        }],
        "launch_stage": google_native.logging.v2.MetricDescriptorLaunchStage.LAUNCH_STAGE_UNSPECIFIED,
        "metadata": {
            "ingest_delay": "string",
            "sample_period": "string",
        },
        "metric_kind": google_native.logging.v2.MetricDescriptorMetricKind.METRIC_KIND_UNSPECIFIED,
        "monitored_resource_types": ["string"],
        "name": "string",
        "type": "string",
        "unit": "string",
        "value_type": google_native.logging.v2.MetricDescriptorValueType.VALUE_TYPE_UNSPECIFIED,
    },
    name="string",
    project="string",
    value_extractor="string")

    const metricResource = new google_native.logging.v2.Metric("metricResource", {
    filter: "string",
    bucketName: "string",
    bucketOptions: {
        explicitBuckets: {
            bounds: [0],
        },
        exponentialBuckets: {
            growthFactor: 0,
            numFiniteBuckets: 0,
            scale: 0,
        },
        linearBuckets: {
            numFiniteBuckets: 0,
            offset: 0,
            width: 0,
        },
    },
    description: "string",
    disabled: false,
    labelExtractors: {
        string: "string",
    },
    metricDescriptor: {
        description: "string",
        displayName: "string",
        labels: [{
            description: "string",
            key: "string",
            valueType: google_native.logging.v2.LabelDescriptorValueType.String,
        }],
        launchStage: google_native.logging.v2.MetricDescriptorLaunchStage.LaunchStageUnspecified,
        metadata: {
            ingestDelay: "string",
            samplePeriod: "string",
        },
        metricKind: google_native.logging.v2.MetricDescriptorMetricKind.MetricKindUnspecified,
        monitoredResourceTypes: ["string"],
        name: "string",
        type: "string",
        unit: "string",
        valueType: google_native.logging.v2.MetricDescriptorValueType.ValueTypeUnspecified,
    },
    name: "string",
    project: "string",
    valueExtractor: "string",
});

    type: google-native:logging/v2:Metric
properties:
    bucketName: string
    bucketOptions:
        explicitBuckets:
            bounds:
                - 0
        exponentialBuckets:
            growthFactor: 0
            numFiniteBuckets: 0
            scale: 0
        linearBuckets:
            numFiniteBuckets: 0
            offset: 0
            width: 0
    description: string
    disabled: false
    filter: string
    labelExtractors:
        string: string
    metricDescriptor:
        description: string
        displayName: string
        labels:
            - description: string
              key: string
              valueType: STRING
        launchStage: LAUNCH_STAGE_UNSPECIFIED
        metadata:
            ingestDelay: string
            samplePeriod: string
        metricKind: METRIC_KIND_UNSPECIFIED
        monitoredResourceTypes:
            - string
        name: string
        type: string
        unit: string
        valueType: VALUE_TYPE_UNSPECIFIED
    name: string
    project: string
    valueExtractor: string

    Metric Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The Metric resource accepts the following input properties:

    Filter string
    An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
    BucketName string
    Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.
    BucketOptions Pulumi.GoogleNative.Logging.V2.Inputs.BucketOptions
    Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
    Description string
    Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
    Disabled bool
    Optional. If set to True, then this metric is disabled and it does not generate any points.
    LabelExtractors Dictionary<string, string>
    Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
    MetricDescriptor Pulumi.GoogleNative.Logging.V2.Inputs.MetricDescriptor
    Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
    Name string
    The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".
    Project string
    ValueExtractor string
    Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
    Version Pulumi.GoogleNative.Logging.V2.MetricVersion
    Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Filter string
    An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
    BucketName string
    Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.
    BucketOptions BucketOptionsArgs
    Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
    Description string
    Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
    Disabled bool
    Optional. If set to True, then this metric is disabled and it does not generate any points.
    LabelExtractors map[string]string
    Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
    MetricDescriptor MetricDescriptorArgs
    Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
    Name string
    The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".
    Project string
    ValueExtractor string
    Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
    Version MetricVersion
    Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    filter String
    An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
    bucketName String
    Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.
    bucketOptions BucketOptions
    Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
    description String
    Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
    disabled Boolean
    Optional. If set to True, then this metric is disabled and it does not generate any points.
    labelExtractors Map<String,String>
    Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
    metricDescriptor MetricDescriptor
    Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
    name String
    The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".
    project String
    valueExtractor String
    Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
    version MetricVersion
    Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    filter string
    An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
    bucketName string
    Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.
    bucketOptions BucketOptions
    Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
    description string
    Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
    disabled boolean
    Optional. If set to True, then this metric is disabled and it does not generate any points.
    labelExtractors {[key: string]: string}
    Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
    metricDescriptor MetricDescriptor
    Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
    name string
    The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".
    project string
    valueExtractor string
    Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
    version MetricVersion
    Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    filter str
    An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
    bucket_name str
    Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.
    bucket_options BucketOptionsArgs
    Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
    description str
    Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
    disabled bool
    Optional. If set to True, then this metric is disabled and it does not generate any points.
    label_extractors Mapping[str, str]
    Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
    metric_descriptor MetricDescriptorArgs
    Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
    name str
    The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".
    project str
    value_extractor str
    Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
    version MetricVersion
    Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    filter String
    An advanced logs filter (https://cloud.google.com/logging/docs/view/advanced_filters) which is used to match log entries. Example: "resource.type=gae_app AND severity>=ERROR" The maximum length of the filter is 20000 characters.
    bucketName String
    Optional. The resource name of the Log Bucket that owns the Log Metric. Only Log Buckets in projects are supported. The bucket has to be in the same project as the metric.For example:projects/my-project/locations/global/buckets/my-bucketIf empty, then the Log Metric is considered a non-Bucket Log Metric.
    bucketOptions Property Map
    Optional. The bucket_options are required when the logs-based metric is using a DISTRIBUTION value type and it describes the bucket boundaries used to create a histogram of the extracted values.
    description String
    Optional. A description of this metric, which is used in documentation. The maximum length of the description is 8000 characters.
    disabled Boolean
    Optional. If set to True, then this metric is disabled and it does not generate any points.
    labelExtractors Map<String>
    Optional. A map from a label key string to an extractor expression which is used to extract data from a log entry field and assign as the label value. Each label key specified in the LabelDescriptor must have an associated extractor expression in this map. The syntax of the extractor expression is the same as for the value_extractor field.The extracted value is converted to the type defined in the label descriptor. If either the extraction or the type conversion fails, the label will have a default value. The default value for a string label is an empty string, for an integer label its 0, and for a boolean label its false.Note that there are upper bounds on the maximum number of labels and the number of active time series that are allowed in a project.
    metricDescriptor Property Map
    Optional. The metric descriptor associated with the logs-based metric. If unspecified, it uses a default metric descriptor with a DELTA metric kind, INT64 value type, with no labels and a unit of "1". Such a metric counts the number of log entries matching the filter expression.The name, type, and description fields in the metric_descriptor are output only, and is constructed using the name and description field in the LogMetric.To create a logs-based metric that records a distribution of log values, a DELTA metric kind with a DISTRIBUTION value type must be used along with a value_extractor expression in the LogMetric.Each label in the metric descriptor must have a matching label name as the key and an extractor expression as the value in the label_extractors map.The metric_kind and value_type fields in the metric_descriptor cannot be updated once initially configured. New labels can be added in the metric_descriptor, but existing labels cannot be modified except for their description.
    name String
    The client-assigned metric identifier. Examples: "error_count", "nginx/requests".Metric identifiers are limited to 100 characters and can include only the following characters: A-Z, a-z, 0-9, and the special characters _-.,+!*',()%/. The forward-slash character (/) denotes a hierarchy of name pieces, and it cannot be the first character of the name.This field is the [METRIC_ID] part of a metric resource name in the format "projects/PROJECT_ID/metrics/METRIC_ID". Example: If the resource name of a metric is "projects/my-project/metrics/nginx%2Frequests", this field's value is "nginx/requests".
    project String
    valueExtractor String
    Optional. A value_extractor is required when using a distribution logs-based metric to extract the values to record from a log entry. Two functions are supported for value extraction: EXTRACT(field) or REGEXP_EXTRACT(field, regex). The arguments are: field: The name of the log entry field from which the value is to be extracted. regex: A regular expression using the Google RE2 syntax (https://github.com/google/re2/wiki/Syntax) with a single capture group to extract data from the specified log entry field. The value of the field is converted to a string before applying the regex. It is an error to specify a regex that does not include exactly one capture group.The result of the extraction must be convertible to a double type, as the distribution always records double values. If either the extraction or the conversion to double fails, then those values are not recorded in the distribution.Example: REGEXP_EXTRACT(jsonPayload.request, ".quantity=(\d+).")
    version "V2" | "V1"
    Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Deprecated: Deprecated. The API version that created or updated this metric. The v2 format is used by default and cannot be changed.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Metric resource produces the following output properties:

    CreateTime string
    The creation timestamp of the metric.This field may not be present for older metrics.
    Id string
    The provider-assigned unique ID for this managed resource.
    UpdateTime string
    The last update timestamp of the metric.This field may not be present for older metrics.
    CreateTime string
    The creation timestamp of the metric.This field may not be present for older metrics.
    Id string
    The provider-assigned unique ID for this managed resource.
    UpdateTime string
    The last update timestamp of the metric.This field may not be present for older metrics.
    createTime String
    The creation timestamp of the metric.This field may not be present for older metrics.
    id String
    The provider-assigned unique ID for this managed resource.
    updateTime String
    The last update timestamp of the metric.This field may not be present for older metrics.
    createTime string
    The creation timestamp of the metric.This field may not be present for older metrics.
    id string
    The provider-assigned unique ID for this managed resource.
    updateTime string
    The last update timestamp of the metric.This field may not be present for older metrics.
    create_time str
    The creation timestamp of the metric.This field may not be present for older metrics.
    id str
    The provider-assigned unique ID for this managed resource.
    update_time str
    The last update timestamp of the metric.This field may not be present for older metrics.
    createTime String
    The creation timestamp of the metric.This field may not be present for older metrics.
    id String
    The provider-assigned unique ID for this managed resource.
    updateTime String
    The last update timestamp of the metric.This field may not be present for older metrics.

    Supporting Types

    BucketOptions, BucketOptionsArgs

    ExplicitBuckets Explicit
    The explicit buckets.
    ExponentialBuckets Exponential
    The exponential buckets.
    LinearBuckets Linear
    The linear bucket.
    explicitBuckets Explicit
    The explicit buckets.
    exponentialBuckets Exponential
    The exponential buckets.
    linearBuckets Linear
    The linear bucket.
    explicitBuckets Explicit
    The explicit buckets.
    exponentialBuckets Exponential
    The exponential buckets.
    linearBuckets Linear
    The linear bucket.
    explicit_buckets Explicit
    The explicit buckets.
    exponential_buckets Exponential
    The exponential buckets.
    linear_buckets Linear
    The linear bucket.
    explicitBuckets Property Map
    The explicit buckets.
    exponentialBuckets Property Map
    The exponential buckets.
    linearBuckets Property Map
    The linear bucket.

    BucketOptionsResponse, BucketOptionsResponseArgs

    ExplicitBuckets ExplicitResponse
    The explicit buckets.
    ExponentialBuckets ExponentialResponse
    The exponential buckets.
    LinearBuckets LinearResponse
    The linear bucket.
    explicitBuckets ExplicitResponse
    The explicit buckets.
    exponentialBuckets ExponentialResponse
    The exponential buckets.
    linearBuckets LinearResponse
    The linear bucket.
    explicitBuckets ExplicitResponse
    The explicit buckets.
    exponentialBuckets ExponentialResponse
    The exponential buckets.
    linearBuckets LinearResponse
    The linear bucket.
    explicit_buckets ExplicitResponse
    The explicit buckets.
    exponential_buckets ExponentialResponse
    The exponential buckets.
    linear_buckets LinearResponse
    The linear bucket.
    explicitBuckets Property Map
    The explicit buckets.
    exponentialBuckets Property Map
    The exponential buckets.
    linearBuckets Property Map
    The linear bucket.

    Explicit, ExplicitArgs

    Bounds List<double>
    The values must be monotonically increasing.
    Bounds []float64
    The values must be monotonically increasing.
    bounds List<Double>
    The values must be monotonically increasing.
    bounds number[]
    The values must be monotonically increasing.
    bounds Sequence[float]
    The values must be monotonically increasing.
    bounds List<Number>
    The values must be monotonically increasing.

    ExplicitResponse, ExplicitResponseArgs

    Bounds List<double>
    The values must be monotonically increasing.
    Bounds []float64
    The values must be monotonically increasing.
    bounds List<Double>
    The values must be monotonically increasing.
    bounds number[]
    The values must be monotonically increasing.
    bounds Sequence[float]
    The values must be monotonically increasing.
    bounds List<Number>
    The values must be monotonically increasing.

    Exponential, ExponentialArgs

    GrowthFactor double
    Must be greater than 1.
    NumFiniteBuckets int
    Must be greater than 0.
    Scale double
    Must be greater than 0.
    GrowthFactor float64
    Must be greater than 1.
    NumFiniteBuckets int
    Must be greater than 0.
    Scale float64
    Must be greater than 0.
    growthFactor Double
    Must be greater than 1.
    numFiniteBuckets Integer
    Must be greater than 0.
    scale Double
    Must be greater than 0.
    growthFactor number
    Must be greater than 1.
    numFiniteBuckets number
    Must be greater than 0.
    scale number
    Must be greater than 0.
    growth_factor float
    Must be greater than 1.
    num_finite_buckets int
    Must be greater than 0.
    scale float
    Must be greater than 0.
    growthFactor Number
    Must be greater than 1.
    numFiniteBuckets Number
    Must be greater than 0.
    scale Number
    Must be greater than 0.

    ExponentialResponse, ExponentialResponseArgs

    GrowthFactor double
    Must be greater than 1.
    NumFiniteBuckets int
    Must be greater than 0.
    Scale double
    Must be greater than 0.
    GrowthFactor float64
    Must be greater than 1.
    NumFiniteBuckets int
    Must be greater than 0.
    Scale float64
    Must be greater than 0.
    growthFactor Double
    Must be greater than 1.
    numFiniteBuckets Integer
    Must be greater than 0.
    scale Double
    Must be greater than 0.
    growthFactor number
    Must be greater than 1.
    numFiniteBuckets number
    Must be greater than 0.
    scale number
    Must be greater than 0.
    growth_factor float
    Must be greater than 1.
    num_finite_buckets int
    Must be greater than 0.
    scale float
    Must be greater than 0.
    growthFactor Number
    Must be greater than 1.
    numFiniteBuckets Number
    Must be greater than 0.
    scale Number
    Must be greater than 0.

    LabelDescriptor, LabelDescriptorArgs

    Description string
    A human-readable description for the label.
    Key string
    The label key.
    ValueType Pulumi.GoogleNative.Logging.V2.LabelDescriptorValueType
    The type of data that can be assigned to the label.
    Description string
    A human-readable description for the label.
    Key string
    The label key.
    ValueType LabelDescriptorValueType
    The type of data that can be assigned to the label.
    description String
    A human-readable description for the label.
    key String
    The label key.
    valueType LabelDescriptorValueType
    The type of data that can be assigned to the label.
    description string
    A human-readable description for the label.
    key string
    The label key.
    valueType LabelDescriptorValueType
    The type of data that can be assigned to the label.
    description str
    A human-readable description for the label.
    key str
    The label key.
    value_type LabelDescriptorValueType
    The type of data that can be assigned to the label.
    description String
    A human-readable description for the label.
    key String
    The label key.
    valueType "STRING" | "BOOL" | "INT64"
    The type of data that can be assigned to the label.

    LabelDescriptorResponse, LabelDescriptorResponseArgs

    Description string
    A human-readable description for the label.
    Key string
    The label key.
    ValueType string
    The type of data that can be assigned to the label.
    Description string
    A human-readable description for the label.
    Key string
    The label key.
    ValueType string
    The type of data that can be assigned to the label.
    description String
    A human-readable description for the label.
    key String
    The label key.
    valueType String
    The type of data that can be assigned to the label.
    description string
    A human-readable description for the label.
    key string
    The label key.
    valueType string
    The type of data that can be assigned to the label.
    description str
    A human-readable description for the label.
    key str
    The label key.
    value_type str
    The type of data that can be assigned to the label.
    description String
    A human-readable description for the label.
    key String
    The label key.
    valueType String
    The type of data that can be assigned to the label.

    LabelDescriptorValueType, LabelDescriptorValueTypeArgs

    String
    STRINGA variable-length string. This is the default.
    Bool
    BOOLBoolean; true or false.
    Int64
    INT64A 64-bit signed integer.
    LabelDescriptorValueTypeString
    STRINGA variable-length string. This is the default.
    LabelDescriptorValueTypeBool
    BOOLBoolean; true or false.
    LabelDescriptorValueTypeInt64
    INT64A 64-bit signed integer.
    String
    STRINGA variable-length string. This is the default.
    Bool
    BOOLBoolean; true or false.
    Int64
    INT64A 64-bit signed integer.
    String
    STRINGA variable-length string. This is the default.
    Bool
    BOOLBoolean; true or false.
    Int64
    INT64A 64-bit signed integer.
    STRING
    STRINGA variable-length string. This is the default.
    BOOL
    BOOLBoolean; true or false.
    INT64
    INT64A 64-bit signed integer.
    "STRING"
    STRINGA variable-length string. This is the default.
    "BOOL"
    BOOLBoolean; true or false.
    "INT64"
    INT64A 64-bit signed integer.

    Linear, LinearArgs

    NumFiniteBuckets int
    Must be greater than 0.
    Offset double
    Lower bound of the first bucket.
    Width double
    Must be greater than 0.
    NumFiniteBuckets int
    Must be greater than 0.
    Offset float64
    Lower bound of the first bucket.
    Width float64
    Must be greater than 0.
    numFiniteBuckets Integer
    Must be greater than 0.
    offset Double
    Lower bound of the first bucket.
    width Double
    Must be greater than 0.
    numFiniteBuckets number
    Must be greater than 0.
    offset number
    Lower bound of the first bucket.
    width number
    Must be greater than 0.
    num_finite_buckets int
    Must be greater than 0.
    offset float
    Lower bound of the first bucket.
    width float
    Must be greater than 0.
    numFiniteBuckets Number
    Must be greater than 0.
    offset Number
    Lower bound of the first bucket.
    width Number
    Must be greater than 0.

    LinearResponse, LinearResponseArgs

    NumFiniteBuckets int
    Must be greater than 0.
    Offset double
    Lower bound of the first bucket.
    Width double
    Must be greater than 0.
    NumFiniteBuckets int
    Must be greater than 0.
    Offset float64
    Lower bound of the first bucket.
    Width float64
    Must be greater than 0.
    numFiniteBuckets Integer
    Must be greater than 0.
    offset Double
    Lower bound of the first bucket.
    width Double
    Must be greater than 0.
    numFiniteBuckets number
    Must be greater than 0.
    offset number
    Lower bound of the first bucket.
    width number
    Must be greater than 0.
    num_finite_buckets int
    Must be greater than 0.
    offset float
    Lower bound of the first bucket.
    width float
    Must be greater than 0.
    numFiniteBuckets Number
    Must be greater than 0.
    offset Number
    Lower bound of the first bucket.
    width Number
    Must be greater than 0.

    MetricDescriptor, MetricDescriptorArgs

    Description string
    A detailed description of the metric, which can be used in documentation.
    DisplayName string
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    Labels List<Pulumi.GoogleNative.Logging.V2.Inputs.LabelDescriptor>
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    LaunchStage Pulumi.GoogleNative.Logging.V2.MetricDescriptorLaunchStage
    Optional. The launch stage of the metric definition.
    Metadata Pulumi.GoogleNative.Logging.V2.Inputs.MetricDescriptorMetadata
    Optional. Metadata which can be used to guide usage of the metric.
    MetricKind Pulumi.GoogleNative.Logging.V2.MetricDescriptorMetricKind
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    MonitoredResourceTypes List<string>
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    Name string
    The resource name of the metric descriptor.
    Type string
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    Unit string
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    ValueType Pulumi.GoogleNative.Logging.V2.MetricDescriptorValueType
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    Description string
    A detailed description of the metric, which can be used in documentation.
    DisplayName string
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    Labels []LabelDescriptor
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    LaunchStage MetricDescriptorLaunchStage
    Optional. The launch stage of the metric definition.
    Metadata MetricDescriptorMetadata
    Optional. Metadata which can be used to guide usage of the metric.
    MetricKind MetricDescriptorMetricKind
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    MonitoredResourceTypes []string
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    Name string
    The resource name of the metric descriptor.
    Type string
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    Unit string
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    ValueType MetricDescriptorValueType
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description String
    A detailed description of the metric, which can be used in documentation.
    displayName String
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels List<LabelDescriptor>
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launchStage MetricDescriptorLaunchStage
    Optional. The launch stage of the metric definition.
    metadata MetricDescriptorMetadata
    Optional. Metadata which can be used to guide usage of the metric.
    metricKind MetricDescriptorMetricKind
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitoredResourceTypes List<String>
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name String
    The resource name of the metric descriptor.
    type String
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit String
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    valueType MetricDescriptorValueType
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description string
    A detailed description of the metric, which can be used in documentation.
    displayName string
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels LabelDescriptor[]
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launchStage MetricDescriptorLaunchStage
    Optional. The launch stage of the metric definition.
    metadata MetricDescriptorMetadata
    Optional. Metadata which can be used to guide usage of the metric.
    metricKind MetricDescriptorMetricKind
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitoredResourceTypes string[]
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name string
    The resource name of the metric descriptor.
    type string
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit string
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    valueType MetricDescriptorValueType
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description str
    A detailed description of the metric, which can be used in documentation.
    display_name str
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels Sequence[LabelDescriptor]
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launch_stage MetricDescriptorLaunchStage
    Optional. The launch stage of the metric definition.
    metadata MetricDescriptorMetadata
    Optional. Metadata which can be used to guide usage of the metric.
    metric_kind MetricDescriptorMetricKind
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitored_resource_types Sequence[str]
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name str
    The resource name of the metric descriptor.
    type str
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit str
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    value_type MetricDescriptorValueType
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description String
    A detailed description of the metric, which can be used in documentation.
    displayName String
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels List<Property Map>
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launchStage "LAUNCH_STAGE_UNSPECIFIED" | "UNIMPLEMENTED" | "PRELAUNCH" | "EARLY_ACCESS" | "ALPHA" | "BETA" | "GA" | "DEPRECATED"
    Optional. The launch stage of the metric definition.
    metadata Property Map
    Optional. Metadata which can be used to guide usage of the metric.
    metricKind "METRIC_KIND_UNSPECIFIED" | "GAUGE" | "DELTA" | "CUMULATIVE"
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitoredResourceTypes List<String>
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name String
    The resource name of the metric descriptor.
    type String
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit String
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    valueType "VALUE_TYPE_UNSPECIFIED" | "BOOL" | "INT64" | "DOUBLE" | "STRING" | "DISTRIBUTION" | "MONEY"
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

    MetricDescriptorLaunchStage, MetricDescriptorLaunchStageArgs

    LaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    Unimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    Prelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    Alpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    Beta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    Ga
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    Deprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    MetricDescriptorLaunchStageLaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    MetricDescriptorLaunchStageUnimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    MetricDescriptorLaunchStagePrelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    MetricDescriptorLaunchStageEarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    MetricDescriptorLaunchStageAlpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    MetricDescriptorLaunchStageBeta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    MetricDescriptorLaunchStageGa
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    MetricDescriptorLaunchStageDeprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    LaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    Unimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    Prelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    Alpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    Beta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    Ga
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    Deprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    LaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    Unimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    Prelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    Alpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    Beta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    Ga
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    Deprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    LAUNCH_STAGE_UNSPECIFIED
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    UNIMPLEMENTED
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    PRELAUNCH
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EARLY_ACCESS
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    ALPHA
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    BETA
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    GA
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    DEPRECATED
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    "LAUNCH_STAGE_UNSPECIFIED"
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    "UNIMPLEMENTED"
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    "PRELAUNCH"
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    "EARLY_ACCESS"
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    "ALPHA"
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    "BETA"
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    "GA"
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    "DEPRECATED"
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.

    MetricDescriptorMetadata, MetricDescriptorMetadataArgs

    IngestDelay string
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    LaunchStage Pulumi.GoogleNative.Logging.V2.MetricDescriptorMetadataLaunchStage
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    SamplePeriod string
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    IngestDelay string
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    LaunchStage MetricDescriptorMetadataLaunchStage
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    SamplePeriod string
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingestDelay String
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launchStage MetricDescriptorMetadataLaunchStage
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    samplePeriod String
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingestDelay string
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launchStage MetricDescriptorMetadataLaunchStage
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    samplePeriod string
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingest_delay str
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launch_stage MetricDescriptorMetadataLaunchStage
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    sample_period str
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingestDelay String
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launchStage "LAUNCH_STAGE_UNSPECIFIED" | "UNIMPLEMENTED" | "PRELAUNCH" | "EARLY_ACCESS" | "ALPHA" | "BETA" | "GA" | "DEPRECATED"
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    samplePeriod String
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.

    MetricDescriptorMetadataLaunchStage, MetricDescriptorMetadataLaunchStageArgs

    LaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    Unimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    Prelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    Alpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    Beta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    Ga
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    Deprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    MetricDescriptorMetadataLaunchStageLaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    MetricDescriptorMetadataLaunchStageUnimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    MetricDescriptorMetadataLaunchStagePrelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    MetricDescriptorMetadataLaunchStageEarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    MetricDescriptorMetadataLaunchStageAlpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    MetricDescriptorMetadataLaunchStageBeta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    MetricDescriptorMetadataLaunchStageGa
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    MetricDescriptorMetadataLaunchStageDeprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    LaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    Unimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    Prelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    Alpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    Beta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    Ga
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    Deprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    LaunchStageUnspecified
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    Unimplemented
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    Prelaunch
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EarlyAccess
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    Alpha
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    Beta
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    Ga
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    Deprecated
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    LAUNCH_STAGE_UNSPECIFIED
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    UNIMPLEMENTED
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    PRELAUNCH
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    EARLY_ACCESS
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    ALPHA
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    BETA
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    GA
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    DEPRECATED
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.
    "LAUNCH_STAGE_UNSPECIFIED"
    LAUNCH_STAGE_UNSPECIFIEDDo not use this default value.
    "UNIMPLEMENTED"
    UNIMPLEMENTEDThe feature is not yet implemented. Users can not use it.
    "PRELAUNCH"
    PRELAUNCHPrelaunch features are hidden from users and are only visible internally.
    "EARLY_ACCESS"
    EARLY_ACCESSEarly Access features are limited to a closed group of testers. To use these features, you must sign up in advance and sign a Trusted Tester agreement (which includes confidentiality provisions). These features may be unstable, changed in backward-incompatible ways, and are not guaranteed to be released.
    "ALPHA"
    ALPHAAlpha is a limited availability test for releases before they are cleared for widespread use. By Alpha, all significant design issues are resolved and we are in the process of verifying functionality. Alpha customers need to apply for access, agree to applicable terms, and have their projects allowlisted. Alpha releases don't have to be feature complete, no SLAs are provided, and there are no technical support obligations, but they will be far enough along that customers can actually use them in test environments or for limited-use tests -- just like they would in normal production cases.
    "BETA"
    BETABeta is the point at which we are ready to open a release for any customer to use. There are no SLA or technical support obligations in a Beta release. Products will be complete from a feature perspective, but may have some open outstanding issues. Beta releases are suitable for limited production use cases.
    "GA"
    GAGA features are open to all developers and are considered stable and fully qualified for production use.
    "DEPRECATED"
    DEPRECATEDDeprecated features are scheduled to be shut down and removed. For more information, see the "Deprecation Policy" section of our Terms of Service (https://cloud.google.com/terms/) and the Google Cloud Platform Subject to the Deprecation Policy (https://cloud.google.com/terms/deprecation) documentation.

    MetricDescriptorMetadataResponse, MetricDescriptorMetadataResponseArgs

    IngestDelay string
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    LaunchStage string
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    SamplePeriod string
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    IngestDelay string
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    LaunchStage string
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    SamplePeriod string
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingestDelay String
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launchStage String
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    samplePeriod String
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingestDelay string
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launchStage string
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    samplePeriod string
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingest_delay str
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launch_stage str
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    sample_period str
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.
    ingestDelay String
    The delay of data points caused by ingestion. Data points older than this age are guaranteed to be ingested and available to be read, excluding data loss due to errors.
    launchStage String
    Deprecated. Must use the MetricDescriptor.launch_stage instead.

    Deprecated: Deprecated. Must use the MetricDescriptor.launch_stage instead.

    samplePeriod String
    The sampling period of metric data points. For metrics which are written periodically, consecutive data points are stored at this time interval, excluding data loss due to errors. Metrics with a higher granularity have a smaller sampling period.

    MetricDescriptorMetricKind, MetricDescriptorMetricKindArgs

    MetricKindUnspecified
    METRIC_KIND_UNSPECIFIEDDo not use this default value.
    Gauge
    GAUGEAn instantaneous measurement of a value.
    Delta
    DELTAThe change in a value during a time interval.
    Cumulative
    CUMULATIVEA value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.
    MetricDescriptorMetricKindMetricKindUnspecified
    METRIC_KIND_UNSPECIFIEDDo not use this default value.
    MetricDescriptorMetricKindGauge
    GAUGEAn instantaneous measurement of a value.
    MetricDescriptorMetricKindDelta
    DELTAThe change in a value during a time interval.
    MetricDescriptorMetricKindCumulative
    CUMULATIVEA value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.
    MetricKindUnspecified
    METRIC_KIND_UNSPECIFIEDDo not use this default value.
    Gauge
    GAUGEAn instantaneous measurement of a value.
    Delta
    DELTAThe change in a value during a time interval.
    Cumulative
    CUMULATIVEA value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.
    MetricKindUnspecified
    METRIC_KIND_UNSPECIFIEDDo not use this default value.
    Gauge
    GAUGEAn instantaneous measurement of a value.
    Delta
    DELTAThe change in a value during a time interval.
    Cumulative
    CUMULATIVEA value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.
    METRIC_KIND_UNSPECIFIED
    METRIC_KIND_UNSPECIFIEDDo not use this default value.
    GAUGE
    GAUGEAn instantaneous measurement of a value.
    DELTA
    DELTAThe change in a value during a time interval.
    CUMULATIVE
    CUMULATIVEA value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.
    "METRIC_KIND_UNSPECIFIED"
    METRIC_KIND_UNSPECIFIEDDo not use this default value.
    "GAUGE"
    GAUGEAn instantaneous measurement of a value.
    "DELTA"
    DELTAThe change in a value during a time interval.
    "CUMULATIVE"
    CUMULATIVEA value accumulated over a time interval. Cumulative measurements in a time series should have the same start time and increasing end times, until an event resets the cumulative value to zero and sets a new start time for the following points.

    MetricDescriptorResponse, MetricDescriptorResponseArgs

    Description string
    A detailed description of the metric, which can be used in documentation.
    DisplayName string
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    Labels List<Pulumi.GoogleNative.Logging.V2.Inputs.LabelDescriptorResponse>
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    LaunchStage string
    Optional. The launch stage of the metric definition.
    Metadata Pulumi.GoogleNative.Logging.V2.Inputs.MetricDescriptorMetadataResponse
    Optional. Metadata which can be used to guide usage of the metric.
    MetricKind string
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    MonitoredResourceTypes List<string>
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    Name string
    The resource name of the metric descriptor.
    Type string
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    Unit string
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    ValueType string
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    Description string
    A detailed description of the metric, which can be used in documentation.
    DisplayName string
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    Labels []LabelDescriptorResponse
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    LaunchStage string
    Optional. The launch stage of the metric definition.
    Metadata MetricDescriptorMetadataResponse
    Optional. Metadata which can be used to guide usage of the metric.
    MetricKind string
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    MonitoredResourceTypes []string
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    Name string
    The resource name of the metric descriptor.
    Type string
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    Unit string
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    ValueType string
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description String
    A detailed description of the metric, which can be used in documentation.
    displayName String
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels List<LabelDescriptorResponse>
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launchStage String
    Optional. The launch stage of the metric definition.
    metadata MetricDescriptorMetadataResponse
    Optional. Metadata which can be used to guide usage of the metric.
    metricKind String
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitoredResourceTypes List<String>
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name String
    The resource name of the metric descriptor.
    type String
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit String
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    valueType String
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description string
    A detailed description of the metric, which can be used in documentation.
    displayName string
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels LabelDescriptorResponse[]
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launchStage string
    Optional. The launch stage of the metric definition.
    metadata MetricDescriptorMetadataResponse
    Optional. Metadata which can be used to guide usage of the metric.
    metricKind string
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitoredResourceTypes string[]
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name string
    The resource name of the metric descriptor.
    type string
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit string
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    valueType string
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description str
    A detailed description of the metric, which can be used in documentation.
    display_name str
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels Sequence[LabelDescriptorResponse]
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launch_stage str
    Optional. The launch stage of the metric definition.
    metadata MetricDescriptorMetadataResponse
    Optional. Metadata which can be used to guide usage of the metric.
    metric_kind str
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitored_resource_types Sequence[str]
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name str
    The resource name of the metric descriptor.
    type str
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit str
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    value_type str
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.
    description String
    A detailed description of the metric, which can be used in documentation.
    displayName String
    A concise name for the metric, which can be displayed in user interfaces. Use sentence case without an ending period, for example "Request count". This field is optional but it is recommended to be set for any metrics associated with user-visible concepts, such as Quota.
    labels List<Property Map>
    The set of labels that can be used to describe a specific instance of this metric type. For example, the appengine.googleapis.com/http/server/response_latencies metric type has a label for the HTTP response code, response_code, so you can look at latencies for successful responses or just for responses that failed.
    launchStage String
    Optional. The launch stage of the metric definition.
    metadata Property Map
    Optional. Metadata which can be used to guide usage of the metric.
    metricKind String
    Whether the metric records instantaneous values, changes to a value, etc. Some combinations of metric_kind and value_type might not be supported.
    monitoredResourceTypes List<String>
    Read-only. If present, then a time series, which is identified partially by a metric type and a MonitoredResourceDescriptor, that is associated with this metric type can only be associated with one of the monitored resource types listed here.
    name String
    The resource name of the metric descriptor.
    type String
    The metric type, including its DNS name prefix. The type is not URL-encoded. All user-defined metric types have the DNS name custom.googleapis.com or external.googleapis.com. Metric types should use a natural hierarchical grouping. For example: "custom.googleapis.com/invoice/paid/amount" "external.googleapis.com/prometheus/up" "appengine.googleapis.com/http/server/response_latencies"
    unit String
    The units in which the metric value is reported. It is only applicable if the value_type is INT64, DOUBLE, or DISTRIBUTION. The unit defines the representation of the stored metric values.Different systems might scale the values to be more easily displayed (so a value of 0.02kBy might be displayed as 20By, and a value of 3523kBy might be displayed as 3.5MBy). However, if the unit is kBy, then the value of the metric is always in thousands of bytes, no matter how it might be displayed.If you want a custom metric to record the exact number of CPU-seconds used by a job, you can create an INT64 CUMULATIVE metric whose unit is s{CPU} (or equivalently 1s{CPU} or just s). If the job uses 12,005 CPU-seconds, then the value is written as 12005.Alternatively, if you want a custom metric to record data in a more granular way, you can create a DOUBLE CUMULATIVE metric whose unit is ks{CPU}, and then write the value 12.005 (which is 12005/1000), or use Kis{CPU} and write 11.723 (which is 12005/1024).The supported units are a subset of The Unified Code for Units of Measure (https://unitsofmeasure.org/ucum.html) standard:Basic units (UNIT) bit bit By byte s second min minute h hour d day 1 dimensionlessPrefixes (PREFIX) k kilo (10^3) M mega (10^6) G giga (10^9) T tera (10^12) P peta (10^15) E exa (10^18) Z zetta (10^21) Y yotta (10^24) m milli (10^-3) u micro (10^-6) n nano (10^-9) p pico (10^-12) f femto (10^-15) a atto (10^-18) z zepto (10^-21) y yocto (10^-24) Ki kibi (2^10) Mi mebi (2^20) Gi gibi (2^30) Ti tebi (2^40) Pi pebi (2^50)GrammarThe grammar also includes these connectors: / division or ratio (as an infix operator). For examples, kBy/{email} or MiBy/10ms (although you should almost never have /s in a metric unit; rates should always be computed at query time from the underlying cumulative or delta value). . multiplication or composition (as an infix operator). For examples, GBy.d or k{watt}.h.The grammar for a unit is as follows: Expression = Component { "." Component } { "/" Component } ; Component = ( [ PREFIX ] UNIT | "%" ) [ Annotation ] | Annotation | "1" ; Annotation = "{" NAME "}" ; Notes: Annotation is just a comment if it follows a UNIT. If the annotation is used alone, then the unit is equivalent to 1. For examples, {request}/s == 1/s, By{transmitted}/s == By/s. NAME is a sequence of non-blank printable ASCII characters not containing { or }. 1 represents a unitary dimensionless unit (https://en.wikipedia.org/wiki/Dimensionless_quantity) of 1, such as in 1/s. It is typically used when none of the basic units are appropriate. For example, "new users per day" can be represented as 1/d or {new-users}/d (and a metric value 5 would mean "5 new users). Alternatively, "thousands of page views per day" would be represented as 1000/d or k1/d or k{page_views}/d (and a metric value of 5.3 would mean "5300 page views per day"). % represents dimensionless value of 1/100, and annotates values giving a percentage (so the metric values are typically in the range of 0..100, and a metric value 3 means "3 percent"). 10^2.% indicates a metric contains a ratio, typically in the range 0..1, that will be multiplied by 100 and displayed as a percentage (so a metric value 0.03 means "3 percent").
    valueType String
    Whether the measurement is an integer, a floating-point number, etc. Some combinations of metric_kind and value_type might not be supported.

    MetricDescriptorValueType, MetricDescriptorValueTypeArgs

    ValueTypeUnspecified
    VALUE_TYPE_UNSPECIFIEDDo not use this default value.
    Bool
    BOOLThe value is a boolean. This value type can be used only if the metric kind is GAUGE.
    Int64
    INT64The value is a signed 64-bit integer.
    Double
    DOUBLEThe value is a double precision floating point number.
    String
    STRINGThe value is a text string. This value type can be used only if the metric kind is GAUGE.
    Distribution
    DISTRIBUTIONThe value is a Distribution.
    Money
    MONEYThe value is money.
    MetricDescriptorValueTypeValueTypeUnspecified
    VALUE_TYPE_UNSPECIFIEDDo not use this default value.
    MetricDescriptorValueTypeBool
    BOOLThe value is a boolean. This value type can be used only if the metric kind is GAUGE.
    MetricDescriptorValueTypeInt64
    INT64The value is a signed 64-bit integer.
    MetricDescriptorValueTypeDouble
    DOUBLEThe value is a double precision floating point number.
    MetricDescriptorValueTypeString
    STRINGThe value is a text string. This value type can be used only if the metric kind is GAUGE.
    MetricDescriptorValueTypeDistribution
    DISTRIBUTIONThe value is a Distribution.
    MetricDescriptorValueTypeMoney
    MONEYThe value is money.
    ValueTypeUnspecified
    VALUE_TYPE_UNSPECIFIEDDo not use this default value.
    Bool
    BOOLThe value is a boolean. This value type can be used only if the metric kind is GAUGE.
    Int64
    INT64The value is a signed 64-bit integer.
    Double
    DOUBLEThe value is a double precision floating point number.
    String
    STRINGThe value is a text string. This value type can be used only if the metric kind is GAUGE.
    Distribution
    DISTRIBUTIONThe value is a Distribution.
    Money
    MONEYThe value is money.
    ValueTypeUnspecified
    VALUE_TYPE_UNSPECIFIEDDo not use this default value.
    Bool
    BOOLThe value is a boolean. This value type can be used only if the metric kind is GAUGE.
    Int64
    INT64The value is a signed 64-bit integer.
    Double
    DOUBLEThe value is a double precision floating point number.
    String
    STRINGThe value is a text string. This value type can be used only if the metric kind is GAUGE.
    Distribution
    DISTRIBUTIONThe value is a Distribution.
    Money
    MONEYThe value is money.
    VALUE_TYPE_UNSPECIFIED
    VALUE_TYPE_UNSPECIFIEDDo not use this default value.
    BOOL
    BOOLThe value is a boolean. This value type can be used only if the metric kind is GAUGE.
    INT64
    INT64The value is a signed 64-bit integer.
    DOUBLE
    DOUBLEThe value is a double precision floating point number.
    STRING
    STRINGThe value is a text string. This value type can be used only if the metric kind is GAUGE.
    DISTRIBUTION
    DISTRIBUTIONThe value is a Distribution.
    MONEY
    MONEYThe value is money.
    "VALUE_TYPE_UNSPECIFIED"
    VALUE_TYPE_UNSPECIFIEDDo not use this default value.
    "BOOL"
    BOOLThe value is a boolean. This value type can be used only if the metric kind is GAUGE.
    "INT64"
    INT64The value is a signed 64-bit integer.
    "DOUBLE"
    DOUBLEThe value is a double precision floating point number.
    "STRING"
    STRINGThe value is a text string. This value type can be used only if the metric kind is GAUGE.
    "DISTRIBUTION"
    DISTRIBUTIONThe value is a Distribution.
    "MONEY"
    MONEYThe value is money.

    MetricVersion, MetricVersionArgs

    V2
    V2Logging API v2.
    V1
    V1Logging API v1.
    MetricVersionV2
    V2Logging API v2.
    MetricVersionV1
    V1Logging API v1.
    V2
    V2Logging API v2.
    V1
    V1Logging API v1.
    V2
    V2Logging API v2.
    V1
    V1Logging API v1.
    V2
    V2Logging API v2.
    V1
    V1Logging API v1.
    "V2"
    V2Logging API v2.
    "V1"
    V1Logging API v1.

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native