CfnTelemetryPipelines
- class aws_cdk.aws_observabilityadmin.CfnTelemetryPipelines(scope, id, *, configuration, name=None, tags=None)
Bases:
CfnResourceCreates a telemetry pipeline for processing and transforming telemetry data.
The pipeline defines how data flows from sources through processors to destinations, enabling data transformation and delivering capabilities.
Using CloudWatch as a pipeline source The following is an example of a
Bodyproperty value for theConfigurationobject. { “Type”: “AWS::ObservabilityAdmin::TelemetryPipelines”, “Properties”: { “Configuration”: { “Body”: “pipeline:n source:n cloudwatch_logs:n log_event_metadata:n data_source_name: “my_data_source”n data_source_type: “default”n aws:n sts_role_arn: “arn:aws:iam::123456789012:role/MyPipelineAccessRole”n processor:n - parse_json: {}n sink:n - cloudwatch_logs:n log_group: “@original”” } } } Type: AWS::ObservabilityAdmin::TelemetryPipelines Properties: Configuration: Body: | pipeline: source: cloudwatch_logs: log_event_metadata: data_source_name: “my_data_source” data_source_type: “default” aws: sts_role_arn: “arn:aws:iam::123456789012:role/MyPipelineAccessRole” processor: - parse_json: {} sink: - cloudwatch_logs: log_group: “@original” Using Amazon S3 as a pipeline source The following is an example of aBodyproperty value for theConfigurationobject. { “Type”: “AWS::ObservabilityAdmin::TelemetryPipelines”, “Properties”: { “Configuration”: { “Body”: “pipeline:n source:n s3:n sqs:n visibility_timeout: “PT60S”n visibility_duplication_protection: truen maximum_messages: 10n queue_url: “https://sqs.us-east-1.amazonaws.com/123456789012/my-sqs-queue”n notification_type: “sqs”n codec:n ndjson: {}n aws:n region: “us-east-1”n sts_role_arn: “arn:aws:iam::123456789012:role/MyAccessRole”n data_source_name: “crowdstrike_falcon”n processor:n - ocsf:n version: “1.5”n mapping_version: “1.5.0”n schema:n crowdstrike_falcon:n sink:n - cloudwatch_logs:n log_group: “my-log-group”” } } } Type: AWS::ObservabilityAdmin::TelemetryPipelines Properties: Configuration: Body: | pipeline: source: s3: sqs: visibility_timeout: “PT60S” visibility_duplication_protection: true maximum_messages: 10 queue_url: “https://sqs.us-east-1.amazonaws.com/123456789012/my-sqs-queue” notification_type: “sqs” codec: ndjson: {} aws: region: “us-east-1” sts_role_arn: “arn:aws:iam::123456789012:role/MyAccessRole” data_source_name: “crowdstrike_falcon” processor: - ocsf: version: “1.5” mapping_version: “1.5.0” schema: crowdstrike_falcon: sink: - cloudwatch_logs: log_group: “my-log-group”- See:
- CloudformationResource:
AWS::ObservabilityAdmin::TelemetryPipelines
- ExampleMetadata:
fixture=_generated
Example:
from aws_cdk import CfnTag # The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_observabilityadmin as observabilityadmin cfn_telemetry_pipelines = observabilityadmin.CfnTelemetryPipelines(self, "MyCfnTelemetryPipelines", configuration=observabilityadmin.CfnTelemetryPipelines.TelemetryPipelineConfigurationProperty( body="body" ), # the properties below are optional name="name", tags=[CfnTag( key="key", value="value" )] )
Create a new
AWS::ObservabilityAdmin::TelemetryPipelines.- Parameters:
scope (
Construct) – Scope in which this resource is defined.id (
str) – Construct identifier for this resource (unique in its scope).configuration (
Union[IResolvable,TelemetryPipelineConfigurationProperty,Dict[str,Any]]) – The configuration that defines how the telemetry pipeline processes data, including sources, processors, and destinations. For more information, see the Amazon CloudWatch User Guide .name (
Optional[str]) – The name of the telemetry pipeline to create. The name must be unique within your account.tags (
Optional[Sequence[Union[CfnTag,Dict[str,Any]]]]) – The key-value pairs to associate with the telemetry pipeline resource for categorization and management purposes.
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_dependency(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_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource)- Deprecated:
use addDependency
- Stability:
deprecated
- 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
addPropertyOverrideor prefixpathwith “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
valueargument toaddOverridewill 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 intermediate 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). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT). A list of resources that support this policy can be found in the following link:- 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 resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
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.type_hint (
Optional[ResolutionTypeHint])
- 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
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List[Union[Stack,CfnResource]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List[CfnResource]
- 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
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource)- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource) – The dependency to replace.new_target (
CfnResource) – The new dependency to add.
- 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::ObservabilityAdmin::TelemetryPipelines'
- attr_arn
The Amazon Resource Name (ARN) of the created telemetry pipeline.
- CloudformationAttribute:
Arn
- attr_pipeline
Pipeline
- Type:
cloudformationAttribute
- attr_pipeline_identifier
The Amazon Resource Name (ARN) of the telemetry pipeline.
- CloudformationAttribute:
PipelineIdentifier
- attr_status
The current status of the telemetry pipeline.
- CloudformationAttribute:
Status
- attr_status_reason
StatusReason
- Type:
cloudformationAttribute
- cdk_tag_manager
Tag Manager which manages the tags for this resource.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- configuration
The configuration that defines how the telemetry pipeline processes data, including sources, processors, and destinations.
- 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.
- env
- 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.
- name
The name of the telemetry pipeline to create.
- node
The tree node.
- 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).
- tags
The key-value pairs to associate with the telemetry pipeline resource for categorization and management purposes.
- telemetry_pipelines_ref
A reference to a TelemetryPipelines resource.
Static Methods
- classmethod arn_for_telemetry_pipelines(resource)
- Parameters:
resource (
ITelemetryPipelinesRef)- Return type:
str
- classmethod is_cfn_element(x)
Returns
trueif a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceofto 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(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any)- Return type:
bool
- classmethod is_cfn_telemetry_pipelines(x)
Checks whether the given object is a CfnTelemetryPipelines.
- Parameters:
x (
Any)- Return type:
bool
- classmethod is_construct(x)
Checks if
xis a construct.Use this method instead of
instanceofto properly detectConstructinstances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructslibrary on disk are seen as independent, completely different libraries. As a consequence, the classConstructin each copy of theconstructslibrary is seen as a different class, and an instance of one class will not test asinstanceofthe other class.npm installwill not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructslibrary can be accidentally installed, andinstanceofwill behave unpredictably. It is safest to avoid usinginstanceof, and using this type-testing method instead.- Parameters:
x (
Any) – Any object.- Return type:
bool- Returns:
true if
xis an object created from a class which extendsConstruct.
TelemetryPipelineConfigurationProperty
- class CfnTelemetryPipelines.TelemetryPipelineConfigurationProperty(*, body)
Bases:
objectDefines the configuration for a pipeline, including how data flows from sources through processors to destinations.
The configuration is specified in YAML format and must include a valid pipeline definition with required source and sink components. This pipeline enables end-to-end telemetry data collection, transformation, and delivery while supporting optional processing steps and extensions for enhanced functionality.
The primary pipeline configuration section are:
Source: Defines where log data originates from (S3 buckets, CloudWatch Logs, third-party APIs). Each pipeline must have exactly one source.
Processors (optional): Transform, parse, and enrich log data as it flows through the pipeline. Processors are applied sequentially in the order they are defined.
Sink: Defines the destination where processed log data is sent. Each pipeline must have exactly one sink.
Extensions (optional): Provide additional functionality such as AWS Secrets Manager integration for credential management.
For more details on each configuration section see CloudWatch pipelines User Guide . Additional comprehensive configuration examples can be found in the CreateTelemetryPipeline API docs .
- Parameters:
body (
str) – The pipeline configuration body that defines the data processing rules and transformations.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_observabilityadmin as observabilityadmin telemetry_pipeline_configuration_property = observabilityadmin.CfnTelemetryPipelines.TelemetryPipelineConfigurationProperty( body="body" )
Attributes
- body
The pipeline configuration body that defines the data processing rules and transformations.
TelemetryPipelineProperty
- class CfnTelemetryPipelines.TelemetryPipelineProperty(*, arn=None, configuration=None, created_time_stamp=None, last_update_time_stamp=None, name=None, status=None, status_reason=None, tags=None)
Bases:
objectRepresents a complete telemetry pipeline resource with configuration, status, and metadata for data processing and transformation.
- Parameters:
arn (
Optional[str]) – The Amazon Resource Name (ARN) of the telemetry pipeline.configuration (
Union[IResolvable,TelemetryPipelineConfigurationProperty,Dict[str,Any],None]) –The configuration that defines how the telemetry pipeline processes data. For more information, see the Amazon CloudWatch User Guide .
created_time_stamp (
Union[int,float,None]) – The timestamp when the telemetry pipeline was created.last_update_time_stamp (
Union[int,float,None]) – The timestamp when the telemetry pipeline was last updated.name (
Optional[str]) – The name of the telemetry pipeline.status (
Optional[str]) – The current status of the telemetry pipeline.status_reason (
Union[IResolvable,TelemetryPipelineStatusReasonProperty,Dict[str,Any],None]) – Additional information about the pipeline status, including reasons for failure states.tags (
Optional[Sequence[Union[CfnTag,Dict[str,Any]]]]) – The key-value pairs associated with the telemetry pipeline resource.
- See:
- ExampleMetadata:
fixture=_generated
Example:
from aws_cdk import CfnTag # The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_observabilityadmin as observabilityadmin telemetry_pipeline_property = observabilityadmin.CfnTelemetryPipelines.TelemetryPipelineProperty( arn="arn", configuration=observabilityadmin.CfnTelemetryPipelines.TelemetryPipelineConfigurationProperty( body="body" ), created_time_stamp=123, last_update_time_stamp=123, name="name", status="status", status_reason=observabilityadmin.CfnTelemetryPipelines.TelemetryPipelineStatusReasonProperty( description="description" ), tags=[CfnTag( key="key", value="value" )] )
Attributes
- arn
The Amazon Resource Name (ARN) of the telemetry pipeline.
- configuration
The configuration that defines how the telemetry pipeline processes data.
For more information, see the Amazon CloudWatch User Guide .
- created_time_stamp
The timestamp when the telemetry pipeline was created.
- last_update_time_stamp
The timestamp when the telemetry pipeline was last updated.
- name
The name of the telemetry pipeline.
- status
The current status of the telemetry pipeline.
- status_reason
Additional information about the pipeline status, including reasons for failure states.
- tags
The key-value pairs associated with the telemetry pipeline resource.
TelemetryPipelineStatusReasonProperty
- class CfnTelemetryPipelines.TelemetryPipelineStatusReasonProperty(*, description=None)
Bases:
objectProvides detailed information about the status of a telemetry pipeline, including reasons for specific states.
- Parameters:
description (
Optional[str]) – A description of the pipeline status reason, providing additional context about the current state.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_observabilityadmin as observabilityadmin telemetry_pipeline_status_reason_property = observabilityadmin.CfnTelemetryPipelines.TelemetryPipelineStatusReasonProperty( description="description" )
Attributes
- description
A description of the pipeline status reason, providing additional context about the current state.