CfnMetricFilter
- class aws_cdk.aws_logs.CfnMetricFilter(scope, id, *, filter_pattern, log_group_name, metric_transformations, filter_name=None)
Bases:
CfnResource
A CloudFormation
AWS::Logs::MetricFilter
.The
AWS::Logs::MetricFilter
resource specifies a metric filter that describes how CloudWatch Logs extracts information from logs and transforms it into Amazon CloudWatch metrics. If you have multiple metric filters that are associated with a log group, all the filters are applied to the log streams in that group.The maximum number of metric filters that can be associated with a log group is 100.
- CloudformationResource:
AWS::Logs::MetricFilter
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-logs-metricfilter.html
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_logs as logs cfn_metric_filter = logs.CfnMetricFilter(self, "MyCfnMetricFilter", filter_pattern="filterPattern", log_group_name="logGroupName", metric_transformations=[logs.CfnMetricFilter.MetricTransformationProperty( metric_name="metricName", metric_namespace="metricNamespace", metric_value="metricValue", # the properties below are optional default_value=123, dimensions=[logs.CfnMetricFilter.DimensionProperty( key="key", value="value" )], unit="unit" )], # the properties below are optional filter_name="filterName" )
Create a new
AWS::Logs::MetricFilter
.- Parameters:
scope (
Construct
) –scope in which this resource is defined.
id (
str
) –scoped id of the resource.
filter_pattern (
str
) – A filter pattern for extracting metric data out of ingested log events. For more information, see Filter and Pattern Syntax .log_group_name (
str
) – The name of an existing log group that you want to associate with this metric filter.metric_transformations (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,MetricTransformationProperty
,Dict
[str
,Any
]]]]) – The metric transformations.filter_name (
Optional
[str
]) – The name of the metric filter.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_depends_on(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
)- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
)value (
Any
)
- See:
- Return type:
None
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermdediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
).- Parameters:
policy (
Optional
[RemovalPolicy
])apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resoure, please consult that specific resource’s documentation.
- Return type:
None
- get_att(attribute_name)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
)- See:
- Return type:
Any
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) –tree inspector to collect and process attributes.
- Return type:
None
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::Logs::MetricFilter'
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- filter_name
The name of the metric filter.
- filter_pattern
A filter pattern for extracting metric data out of ingested log events.
For more information, see Filter and Pattern Syntax .
- log_group_name
The name of an existing log group that you want to associate with this metric filter.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- metric_transformations
The metric transformations.
- node
The construct tree node associated with this construct.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
)- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(construct)
Check whether the given construct is a CfnResource.
- Parameters:
construct (
IConstruct
)- Return type:
bool
- classmethod is_construct(x)
Return whether the given object is a Construct.
- Parameters:
x (
Any
)- Return type:
bool
DimensionProperty
- class CfnMetricFilter.DimensionProperty(*, key, value)
Bases:
object
Specifies the CloudWatch metric dimensions to publish with this metric.
Because dimensions are part of the unique identifier for a metric, whenever a unique dimension name/value pair is extracted from your logs, you are creating a new variation of that metric.
For more information about publishing dimensions with metrics created by metric filters, see Publishing dimensions with metrics from values in JSON or space-delimited log events . .. epigraph:
Metrics extracted from log events are charged as custom metrics. To prevent unexpected high charges, do not specify high-cardinality fields such as ``IPAddress`` or ``requestID`` as dimensions. Each different value found for a dimension is treated as a separate metric and accrues charges as a separate custom metric. To help prevent accidental high charges, Amazon disables a metric filter if it generates 1000 different name/value pairs for the dimensions that you have specified within a certain amount of time. You can also set up a billing alarm to alert you if your charges are higher than expected. For more information, see `Creating a Billing Alarm to Monitor Your Estimated AWS Charges <https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/monitor_estimated_charges_with_cloudwatch.html>`_ .
- Parameters:
key (
str
) – The name for the CloudWatch metric dimension that the metric filter creates. Dimension names must contain only ASCII characters, must include at least one non-whitespace character, and cannot start with a colon (:).value (
str
) – The log event field that will contain the value for this dimension. This dimension will only be published for a metric if the value is found in the log event. For example,$.eventType
for JSON log events, or$server
for space-delimited log events.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_logs as logs dimension_property = logs.CfnMetricFilter.DimensionProperty( key="key", value="value" )
Attributes
- key
The name for the CloudWatch metric dimension that the metric filter creates.
Dimension names must contain only ASCII characters, must include at least one non-whitespace character, and cannot start with a colon (:).
- value
The log event field that will contain the value for this dimension.
This dimension will only be published for a metric if the value is found in the log event. For example,
$.eventType
for JSON log events, or$server
for space-delimited log events.
MetricTransformationProperty
- class CfnMetricFilter.MetricTransformationProperty(*, metric_name, metric_namespace, metric_value, default_value=None, dimensions=None, unit=None)
Bases:
object
MetricTransformation
is a property of theAWS::Logs::MetricFilter
resource that describes how to transform log streams into a CloudWatch metric.- Parameters:
metric_name (
str
) – The name of the CloudWatch metric.metric_namespace (
str
) – A custom namespace to contain your metric in CloudWatch. Use namespaces to group together metrics that are similar. For more information, see Namespaces .metric_value (
str
) – The value that is published to the CloudWatch metric. For example, if you’re counting the occurrences of a particular term likeError
, specify 1 for the metric value. If you’re counting the number of bytes transferred, reference the value that is in the log event by using $. followed by the name of the field that you specified in the filter pattern, such as$.size
.default_value (
Union
[int
,float
,None
]) – (Optional) The value to emit when a filter pattern does not match a log event. This value can be null.dimensions (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,DimensionProperty
,Dict
[str
,Any
]]],None
]) – The fields to use as dimensions for the metric. One metric filter can include as many as three dimensions. .. epigraph:: Metrics extracted from log events are charged as custom metrics. To prevent unexpected high charges, do not specify high-cardinality fields such asIPAddress
orrequestID
as dimensions. Each different value found for a dimension is treated as a separate metric and accrues charges as a separate custom metric. CloudWatch Logs disables a metric filter if it generates 1000 different name/value pairs for your specified dimensions within a certain amount of time. This helps to prevent accidental high charges. You can also set up a billing alarm to alert you if your charges are higher than expected. For more information, see Creating a Billing Alarm to Monitor Your Estimated AWS Charges .unit (
Optional
[str
]) – The unit to assign to the metric. If you omit this, the unit is set asNone
.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_logs as logs metric_transformation_property = logs.CfnMetricFilter.MetricTransformationProperty( metric_name="metricName", metric_namespace="metricNamespace", metric_value="metricValue", # the properties below are optional default_value=123, dimensions=[logs.CfnMetricFilter.DimensionProperty( key="key", value="value" )], unit="unit" )
Attributes
- default_value
(Optional) The value to emit when a filter pattern does not match a log event.
This value can be null.
- dimensions
The fields to use as dimensions for the metric. One metric filter can include as many as three dimensions.
Metrics extracted from log events are charged as custom metrics. To prevent unexpected high charges, do not specify high-cardinality fields such as
IPAddress
orrequestID
as dimensions. Each different value found for a dimension is treated as a separate metric and accrues charges as a separate custom metric.CloudWatch Logs disables a metric filter if it generates 1000 different name/value pairs for your specified dimensions within a certain amount of time. This helps to prevent accidental high charges.
You can also set up a billing alarm to alert you if your charges are higher than expected. For more information, see Creating a Billing Alarm to Monitor Your Estimated AWS Charges .
- metric_name
The name of the CloudWatch metric.
- metric_namespace
A custom namespace to contain your metric in CloudWatch.
Use namespaces to group together metrics that are similar. For more information, see Namespaces .
- metric_value
The value that is published to the CloudWatch metric.
For example, if you’re counting the occurrences of a particular term like
Error
, specify 1 for the metric value. If you’re counting the number of bytes transferred, reference the value that is in the log event by using $. followed by the name of the field that you specified in the filter pattern, such as$.size
.
- unit
The unit to assign to the metric.
If you omit this, the unit is set as
None
.