CfnDataLake
- class aws_cdk.aws_securitylake.CfnDataLake(scope, id, *, encryption_configuration=None, lifecycle_configuration=None, meta_store_manager_role_arn=None, replication_configuration=None, tags=None)
Bases:
CfnResource
Initializes an Amazon Security Lake instance with the provided (or default) configuration.
You can enable Security Lake in AWS Regions with customized settings before enabling log collection in Regions. To specify particular Regions, configure these Regions using the
configurations
parameter. If you have already enabled Security Lake in a Region when you call this command, the command will update the Region if you provide new configuration parameters. If you have not already enabled Security Lake in the Region when you call this API, it will set up the data lake in the Region with the specified configurations.When you enable Security Lake , it starts ingesting security data after the
CreateAwsLogSource
call. This includes ingesting security data from sources, storing data, and making data accessible to subscribers. Security Lake also enables all the existing settings and resources that it stores or maintains for your AWS account in the current Region, including security log and event data. For more information, see the Amazon Security Lake User Guide .- See:
- CloudformationResource:
AWS::SecurityLake::DataLake
- 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_securitylake as securitylake cfn_data_lake = securitylake.CfnDataLake(self, "MyCfnDataLake", encryption_configuration=securitylake.CfnDataLake.EncryptionConfigurationProperty( kms_key_id="kmsKeyId" ), lifecycle_configuration=securitylake.CfnDataLake.LifecycleConfigurationProperty( expiration=securitylake.CfnDataLake.ExpirationProperty( days=123 ), transitions=[securitylake.CfnDataLake.TransitionsProperty( days=123, storage_class="storageClass" )] ), meta_store_manager_role_arn="metaStoreManagerRoleArn", replication_configuration=securitylake.CfnDataLake.ReplicationConfigurationProperty( regions=["regions"], role_arn="roleArn" ), tags=[CfnTag( key="key", value="value" )] )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).encryption_configuration (
Union
[IResolvable
,EncryptionConfigurationProperty
,Dict
[str
,Any
],None
]) – Provides encryption details of the Amazon Security Lake object.lifecycle_configuration (
Union
[IResolvable
,LifecycleConfigurationProperty
,Dict
[str
,Any
],None
]) – You can customize Security Lake to store data in your preferred AWS Regions for your preferred amount of time. Lifecycle management can help you comply with different compliance requirements. For more details, see Lifecycle management in the Amazon Security Lake User Guide.meta_store_manager_role_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) used to create and update the AWS Glue table. This table contains partitions generated by the ingestion and normalization of AWS log sources and custom sources.replication_configuration (
Union
[IResolvable
,ReplicationConfigurationProperty
,Dict
[str
,Any
],None
]) – Provides replication details of Amazon Security Lake object.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – An array of objects, one for each tag to associate with the data lake configuration. For each tag, you must specify both a tag key and a tag value. A tag value cannot be null, but it can be an empty string.
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
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 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::SecurityLake::DataLake'
- attr_arn
The Amazon Resource Name (ARN) of the data lake.
- CloudformationAttribute:
Arn
- attr_s3_bucket_arn
The Amazon Resource Name (ARN) of the Amazon S3 bucket.
- CloudformationAttribute:
S3BucketArn
- 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.
- 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.
- encryption_configuration
Provides encryption details of the Amazon Security Lake object.
- lifecycle_configuration
You can customize Security Lake to store data in your preferred AWS Regions for your preferred amount of time.
- 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.
- meta_store_manager_role_arn
The Amazon Resource Name (ARN) used to create and update the AWS Glue table.
- 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 })
.
- replication_configuration
Provides replication details of Amazon Security Lake object.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
An array of objects, one for each tag to associate with the data lake configuration.
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(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will 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
x
is an object created from a class which extendsConstruct
.
EncryptionConfigurationProperty
- class CfnDataLake.EncryptionConfigurationProperty(*, kms_key_id=None)
Bases:
object
Provides encryption details of the Amazon Security Lake object.
The AWS shared responsibility model applies to data protection in Amazon Security Lake . As described in this model, AWS is responsible for protecting the global infrastructure that runs all of the AWS Cloud. You are responsible for maintaining control over your content that is hosted on this infrastructure. For more details, see Data protection in the Amazon Security Lake User Guide.
- Parameters:
kms_key_id (
Optional
[str
]) – The ID of KMS encryption key used by Amazon Security Lake to encrypt the Security Lake object.- 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_securitylake as securitylake encryption_configuration_property = securitylake.CfnDataLake.EncryptionConfigurationProperty( kms_key_id="kmsKeyId" )
Attributes
- kms_key_id
The ID of KMS encryption key used by Amazon Security Lake to encrypt the Security Lake object.
ExpirationProperty
- class CfnDataLake.ExpirationProperty(*, days=None)
Bases:
object
Provides data expiration details of the Amazon Security Lake object.
You can specify your preferred Amazon S3 storage class and the time period for S3 objects to stay in that storage class before they expire. For more information about Amazon S3 Lifecycle configurations, see Managing your storage lifecycle in the Amazon Simple Storage Service User Guide .
- Parameters:
days (
Union
[int
,float
,None
]) – The number of days before data expires in the Amazon Security Lake object.- 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_securitylake as securitylake expiration_property = securitylake.CfnDataLake.ExpirationProperty( days=123 )
Attributes
- days
The number of days before data expires in the Amazon Security Lake object.
LifecycleConfigurationProperty
- class CfnDataLake.LifecycleConfigurationProperty(*, expiration=None, transitions=None)
Bases:
object
Provides lifecycle details of Amazon Security Lake object.
To manage your data so that it is stored cost effectively, you can configure retention settings for the data. You can specify your preferred Amazon S3 storage class and the time period for Amazon S3 objects to stay in that storage class before they transition to a different storage class or expire. For more information about Amazon S3 Lifecycle configurations, see Managing your storage lifecycle in the Amazon Simple Storage Service User Guide .
In Security Lake , you specify retention settings at the Region level. For example, you might choose to transition all S3 objects in a specific AWS Region to the
S3 Standard-IA
storage class 30 days after they’re written to the data lake. The default Amazon S3 storage class is S3 Standard. .. epigraph:Security Lake doesn't support Amazon S3 Object Lock. When the data lake buckets are created, S3 Object Lock is disabled by default. Enabling S3 Object Lock with default retention mode interrupts the delivery of normalized log data to the data lake.
- Parameters:
expiration (
Union
[IResolvable
,ExpirationProperty
,Dict
[str
,Any
],None
]) – Provides data expiration details of the Amazon Security Lake object.transitions (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,TransitionsProperty
,Dict
[str
,Any
]]],None
]) – Provides data storage transition details of Amazon Security Lake object. By configuring these settings, you can specify your preferred Amazon S3 storage class and the time period for S3 objects to stay in that storage class before they transition to a different storage class.
- 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_securitylake as securitylake lifecycle_configuration_property = securitylake.CfnDataLake.LifecycleConfigurationProperty( expiration=securitylake.CfnDataLake.ExpirationProperty( days=123 ), transitions=[securitylake.CfnDataLake.TransitionsProperty( days=123, storage_class="storageClass" )] )
Attributes
- expiration
Provides data expiration details of the Amazon Security Lake object.
- transitions
Provides data storage transition details of Amazon Security Lake object.
By configuring these settings, you can specify your preferred Amazon S3 storage class and the time period for S3 objects to stay in that storage class before they transition to a different storage class.
ReplicationConfigurationProperty
- class CfnDataLake.ReplicationConfigurationProperty(*, regions=None, role_arn=None)
Bases:
object
Provides replication configuration details for objects stored in the Amazon Security Lake data lake.
- Parameters:
regions (
Optional
[Sequence
[str
]]) – Specifies one or more centralized rollup Regions. The AWS Region specified in the region parameter of theCreateDataLake
orUpdateDataLake
operations contributes data to the rollup Region or Regions specified in this parameter. Replication enables automatic, asynchronous copying of objects across Amazon S3 buckets. S3 buckets that are configured for object replication can be owned by the same AWS account or by different accounts. You can replicate objects to a single destination bucket or to multiple destination buckets. The destination buckets can be in different Regions or within the same Region as the source bucket.role_arn (
Optional
[str
]) – Replication settings for the Amazon S3 buckets. This parameter uses the AWS Identity and Access Management (IAM) role you created that is managed by Security Lake , to ensure the replication setting is correct.
- 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_securitylake as securitylake replication_configuration_property = securitylake.CfnDataLake.ReplicationConfigurationProperty( regions=["regions"], role_arn="roleArn" )
Attributes
- regions
Specifies one or more centralized rollup Regions.
The AWS Region specified in the region parameter of the
CreateDataLake
orUpdateDataLake
operations contributes data to the rollup Region or Regions specified in this parameter.Replication enables automatic, asynchronous copying of objects across Amazon S3 buckets. S3 buckets that are configured for object replication can be owned by the same AWS account or by different accounts. You can replicate objects to a single destination bucket or to multiple destination buckets. The destination buckets can be in different Regions or within the same Region as the source bucket.
- role_arn
Replication settings for the Amazon S3 buckets.
This parameter uses the AWS Identity and Access Management (IAM) role you created that is managed by Security Lake , to ensure the replication setting is correct.
TransitionsProperty
- class CfnDataLake.TransitionsProperty(*, days=None, storage_class=None)
Bases:
object
Provides transition lifecycle details of the Amazon Security Lake object.
For more information about Amazon S3 Lifecycle configurations, see Managing your storage lifecycle in the Amazon Simple Storage Service User Guide .
- Parameters:
days (
Union
[int
,float
,None
]) – The number of days before data transitions to a different S3 Storage Class in the Amazon Security Lake object.storage_class (
Optional
[str
]) – The list of storage classes that you can choose from based on the data access, resiliency, and cost requirements of your workloads. The default storage class is S3 Standard.
- 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_securitylake as securitylake transitions_property = securitylake.CfnDataLake.TransitionsProperty( days=123, storage_class="storageClass" )
Attributes
- days
The number of days before data transitions to a different S3 Storage Class in the Amazon Security Lake object.
- storage_class
The list of storage classes that you can choose from based on the data access, resiliency, and cost requirements of your workloads.
The default storage class is S3 Standard.