Policy types for @turbot/aws-sagemaker
- AWS > SageMaker > API Enabled
- AWS > SageMaker > Approved Regions [Default]
- AWS > SageMaker > Code Repository > Active
- AWS > SageMaker > Code Repository > Active > Age
- AWS > SageMaker > Code Repository > Active > Last Modified
- AWS > SageMaker > Code Repository > Approved
- AWS > SageMaker > Code Repository > Approved > Regions
- AWS > SageMaker > Code Repository > Approved > Usage
- AWS > SageMaker > Code Repository > CMDB
- AWS > SageMaker > Code Repository > Regions
- AWS > SageMaker > Domain > Active
- AWS > SageMaker > Domain > Active > Age
- AWS > SageMaker > Domain > Active > Last Modified
- AWS > SageMaker > Domain > Approved
- AWS > SageMaker > Domain > Approved > Custom
- AWS > SageMaker > Domain > Approved > Encryption at Rest
- AWS > SageMaker > Domain > Approved > Encryption at Rest > Customer Managed Key
- AWS > SageMaker > Domain > Approved > Regions
- AWS > SageMaker > Domain > Approved > Usage
- AWS > SageMaker > Domain > CMDB
- AWS > SageMaker > Domain > Regions
- AWS > SageMaker > Domain > Tags
- AWS > SageMaker > Domain > Tags > Template
- AWS > SageMaker > Enabled
- AWS > SageMaker > Endpoint > Active
- AWS > SageMaker > Endpoint > Active > Age
- AWS > SageMaker > Endpoint > Active > Last Modified
- AWS > SageMaker > Endpoint > Approved
- AWS > SageMaker > Endpoint > Approved > Regions
- AWS > SageMaker > Endpoint > Approved > Usage
- AWS > SageMaker > Endpoint > CMDB
- AWS > SageMaker > Endpoint > Regions
- AWS > SageMaker > Endpoint > Tags
- AWS > SageMaker > Endpoint > Tags > Template
- AWS > SageMaker > Endpoint Configuration > Active
- AWS > SageMaker > Endpoint Configuration > Active > Age
- AWS > SageMaker > Endpoint Configuration > Active > Last Modified
- AWS > SageMaker > Endpoint Configuration > Approved
- AWS > SageMaker > Endpoint Configuration > Approved > Regions
- AWS > SageMaker > Endpoint Configuration > Approved > Usage
- AWS > SageMaker > Endpoint Configuration > CMDB
- AWS > SageMaker > Endpoint Configuration > Regions
- AWS > SageMaker > Endpoint Configuration > Tags
- AWS > SageMaker > Endpoint Configuration > Tags > Template
- AWS > SageMaker > Lifecycle Configuration > Active
- AWS > SageMaker > Lifecycle Configuration > Active > Age
- AWS > SageMaker > Lifecycle Configuration > Active > Last Modified
- AWS > SageMaker > Lifecycle Configuration > Approved
- AWS > SageMaker > Lifecycle Configuration > Approved > Regions
- AWS > SageMaker > Lifecycle Configuration > Approved > Usage
- AWS > SageMaker > Lifecycle Configuration > CMDB
- AWS > SageMaker > Lifecycle Configuration > Regions
- AWS > SageMaker > Model > Active
- AWS > SageMaker > Model > Active > Age
- AWS > SageMaker > Model > Active > Last Modified
- AWS > SageMaker > Model > Approved
- AWS > SageMaker > Model > Approved > Regions
- AWS > SageMaker > Model > Approved > Usage
- AWS > SageMaker > Model > CMDB
- AWS > SageMaker > Model > Regions
- AWS > SageMaker > Model > Tags
- AWS > SageMaker > Model > Tags > Template
- AWS > SageMaker > Notebook Instance > Active
- AWS > SageMaker > Notebook Instance > Active > Age
- AWS > SageMaker > Notebook Instance > Active > Budget
- AWS > SageMaker > Notebook Instance > Active > Last Modified
- AWS > SageMaker > Notebook Instance > Approved
- AWS > SageMaker > Notebook Instance > Approved > Budget
- AWS > SageMaker > Notebook Instance > Approved > Regions
- AWS > SageMaker > Notebook Instance > Approved > Usage
- AWS > SageMaker > Notebook Instance > CMDB
- AWS > SageMaker > Notebook Instance > Regions
- AWS > SageMaker > Notebook Instance > Tags
- AWS > SageMaker > Notebook Instance > Tags > Template
- AWS > SageMaker > Notebook Instance > Usage
- AWS > SageMaker > Notebook Instance > Usage > Limit
- AWS > SageMaker > Permissions
- AWS > SageMaker > Permissions > Levels
- AWS > SageMaker > Permissions > Levels > Modifiers
- AWS > SageMaker > Permissions > Lockdown
- AWS > SageMaker > Permissions > Lockdown > API Boundary
- AWS > SageMaker > Regions
- AWS > SageMaker > Tags Template [Default]
- AWS > SageMaker > Training Job > Active
- AWS > SageMaker > Training Job > Active > Age
- AWS > SageMaker > Training Job > Active > Last Modified
- AWS > SageMaker > Training Job > Approved
- AWS > SageMaker > Training Job > Approved > Regions
- AWS > SageMaker > Training Job > Approved > Usage
- AWS > SageMaker > Training Job > CMDB
- AWS > SageMaker > Training Job > Regions
- AWS > SageMaker > Training Job > Tags
- AWS > SageMaker > Training Job > Tags > Template
- AWS > Turbot > Event Handlers > Events > Rules > Event Sources > @turbot/aws-sagemaker
- AWS > Turbot > Permissions > Compiled > API Boundary > @turbot/aws-sagemaker
- AWS > Turbot > Permissions > Compiled > Levels > @turbot/aws-sagemaker
- AWS > Turbot > Permissions > Compiled > Service Permissions > @turbot/aws-sagemaker
AWS > SageMaker > API Enabled
Configure whether the AWS SageMaker API is enabled.
Note: Disabling the service disables the API for ALL users and roles, and Turbot will have no access to the API.
[ "Enabled", "Disabled", "Enabled if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Enabled", "Disabled", "Enabled if AWS > SageMaker > Enabled" ], "default": "Enabled"}
AWS > SageMaker > Approved Regions [Default]
A list of AWS regions in which AWS SageMaker resources are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy is the default value for all AWS SageMaker resources' Approved > Regions policies.
"{\n regions: policyValue(uri:\"tmod:@turbot/aws#/policy/types/approvedRegionsDefault\") {\n value\n }\n}\n"
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Code Repository > Active
Determine the action to take when an AWS SageMaker code repository, based on the AWS > SageMaker > Code Repository > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Code Repository > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning"]
{ "type": "string", "enum": [ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Code Repository > Active > Age
The age after which the AWS SageMaker code repository is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Code Repository > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Code Repository > Active > Last Modified
The number of days since the AWS SageMaker code repository was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Code Repository > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Code Repository > Approved
Determine the action to take when an AWS SageMaker code repository is not approved based on AWS > SageMaker > Code Repository > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved", "Enforce: Delete unapproved if new"]
{ "type": "string", "enum": [ "Skip", "Check: Approved", "Enforce: Delete unapproved if new" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Code Repository > Approved > Regions
A list of AWS regions in which AWS SageMaker code repositorys are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker code repository is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Code Repository > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Code Repository > Approved > Usage
Determine whether the AWS SageMaker code repository is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker code repository is not approved, it will be subject to the action specified in the AWS > SageMaker > Code Repository > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Code Repository > CMDB
Configure whether to record and synchronize details for the AWS SageMaker code repository into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Code Repository > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Code Repository > Regions
A list of AWS regions in which AWS SageMaker code repositories are supported for use.
Any code repositories in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
{ "allOf": [ { "$ref": "aws#/definitions/regionNameMatcherList" }, { "default": [ "af-south-1", "ap-east-1", "ap-northeast-1", "ap-northeast-2", "ap-south-1", "ap-southeast-1", "ap-southeast-2", "ca-central-1", "cn-north-1", "cn-northwest-1", "eu-central-1", "eu-north-1", "eu-south-1", "eu-west-1", "eu-west-2", "eu-west-3", "me-south-1", "sa-east-1", "us-east-1", "us-east-2", "us-west-1", "us-west-2" ] } ]}
AWS > SageMaker > Domain > Active
Determine the action to take when an AWS SageMaker domain, based on the AWS > SageMaker > Domain > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Domain > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning"]
{ "type": "string", "enum": [ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Domain > Active > Age
The age after which the AWS SageMaker domain is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Domain > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Domain > Active > Last Modified
The number of days since the AWS SageMaker domain was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Domain > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Domain > Approved
Determine the action to take when an AWS SageMaker domain is not approved based on AWS > SageMaker > Domain > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved", "Enforce: Delete unapproved if new"]
{ "type": "string", "enum": [ "Skip", "Check: Approved", "Enforce: Delete unapproved if new" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Domain > Approved > Custom
Determine whether the AWS SageMaker domain is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker domain is not approved, it will be subject to the action specified in the AWS > SageMaker > Domain > Approved
policy.
See Approved for more information.
Note: The policy value must be a string with a value of Approved
, Not approved
or Skip
, or in the form of YAML objects. The object(s) must contain the key result
with its value as Approved
or Not approved
. A custom title and message can also be added using the keys title
and message
respectively.
{ "example": [ "Approved", "Not approved", "Skip", { "result": "Approved" }, { "title": "string", "result": "Not approved" }, { "title": "string", "result": "Approved", "message": "string" }, [ { "title": "string", "result": "Approved", "message": "string" }, { "title": "string", "result": "Not approved", "message": "string" } ] ], "anyOf": [ { "type": "array", "items": { "type": "object", "properties": { "title": { "type": "string", "pattern": "^[\\W\\w]{1,32}$" }, "message": { "type": "string", "pattern": "^[\\W\\w]{1,128}$" }, "result": { "type": "string", "pattern": "^(Approved|Not approved|Skip)$" } }, "required": [ "result" ], "additionalProperties": false } }, { "type": "object", "properties": { "title": { "type": "string", "pattern": "^[\\W\\w]{1,32}$" }, "message": { "type": "string", "pattern": "^[\\W\\w]{1,128}$" }, "result": { "type": "string", "pattern": "^(Approved|Not approved|Skip)$" } }, "required": [ "result" ], "additionalProperties": false }, { "type": "string", "pattern": "^(Approved|Not approved|Skip)$" } ], "default": "Skip"}
AWS > SageMaker > Domain > Approved > Encryption at Rest
Define the Encryption at Rest settings required for AWS > SageMaker > Domain
.
Encryption at Rest refers specifically to the encryption of data when written to an underlying storage system. This control determines whether the resource is encrypted at rest, and sets encryption to your desired level.
The Encryption at Rest
control compares the encryption settings against the encryption policies for the resource
(AWS > SageMaker > Domain > Encryption at Rest > *
),
raises an alarm, and takes the defined enforcement action
[ "None", "None or higher", "AWS managed key", "AWS managed key or higher", "Customer managed key", "Encryption at Rest > Customer Managed Key"]
{ "type": "string", "enum": [ "None", "None or higher", "AWS managed key", "AWS managed key or higher", "Customer managed key", "Encryption at Rest > Customer Managed Key" ], "example": [ "None or higher" ], "default": "None or higher"}
AWS > SageMaker > Domain > Approved > Encryption at Rest > Customer Managed Key
Define the KMS key ID for encryption at rest.
Encryption at Rest refers specifically to the encryption of data when written to an underlying storage system. This control determines whether the resource is encrypted at rest, and sets encryption to your desired level.
The Encryption at Rest
control compares the encryption settings against the encryption policies for the resource
(AWS > SageMaker > Domain > Encryption at Rest > *
),
raises an alarm, and takes the defined enforcement action
Please make sure the key defined in the template has required permissions.
example: alias/aws/ebs ddc06e04-ce5f-4995-c758-c2b6c510e8fd arn:aws:kms:us-east-1:123456789012:key/ddc06e04-ce5f-4995-c758-c2b6c510e8fd arn:aws:kms:us-east-1:123456789012:alias/aws/ebs
"{\n defaultKey: policy(uri: \"aws-kms#/policy/types/keyDefaultCustomerManagedKey\")\n}\n"
"{{ $.defaultKey }}"
{ "anyOf": [ { "type": "string", "pattern": "^alias/[a-zA-Z0-9:/_-]{1,249}$" }, { "type": "string", "pattern": "^[-a-z0-9-]{1,255}$" }, { "type": "string", "pattern": "^arn:aws(-us-gov|-cn)?:kms:[a-z]{2}(-gov)?-[a-z]+-[0-9]:[0-9]{12}:key/[-a-z0-9-]{1,255}$" }, { "type": "string", "pattern": "^arn:aws(-us-gov|-cn)?:kms:[a-z]{2}(-gov)?-[a-z]+-[0-9]:[0-9]{12}:alias/[a-zA-Z0-9:/_-]{1,249}$" } ], "tests": [ { "description": "valid - if keyArn", "input": "arn:aws:kms:us-east-1:039305405804:key/ddc06e04-ce5f-4995-b758-c2b6c510e8fd" }, { "description": "valid - if aliasName", "input": "alias/aws/ebs" }, { "description": "valid - if keyId", "input": "ddc06e04-ce5f-4995-b758-c2b6c510e8fd" }, { "description": "valid - if aliasArn", "input": "arn:aws:kms:us-east-1:039305405804:alias/aws/ebs" } ]}
AWS > SageMaker > Domain > Approved > Regions
A list of AWS regions in which AWS SageMaker domains are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker domain is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Domain > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Domain > Approved > Usage
Determine whether the AWS SageMaker domain is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker domain is not approved, it will be subject to the action specified in the AWS > SageMaker > Domain > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Domain > CMDB
Configure whether to record and synchronize details for the AWS SageMaker domain into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Domain > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Domain > Regions
A list of AWS regions in which AWS SageMaker domains are supported for use.
Any domains in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
{ "allOf": [ { "$ref": "aws#/definitions/regionNameMatcherList" }, { "default": [ "ap-east-1", "ap-northeast-1", "ap-northeast-2", "ap-south-1", "ap-southeast-1", "ap-southeast-2", "ca-central-1", "cn-north-1", "cn-northwest-1", "eu-central-1", "eu-north-1", "eu-west-1", "eu-west-2", "eu-west-3", "me-south-1", "sa-east-1", "us-east-1", "us-east-2", "us-west-1", "us-west-2" ] } ]}
AWS > SageMaker > Domain > Tags
Determine the action to take when an AWS SageMaker domain tags are not updated based on the AWS > SageMaker > Domain > Tags > *
policies.
The control ensure AWS SageMaker domain tags include tags defined in AWS > SageMaker > Domain > Tags > Template
.
Tags not defined in Domain Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "Skip", "Check: Tags are correct", "Enforce: Set tags"]
{ "type": "string", "enum": [ "Skip", "Check: Tags are correct", "Enforce: Set tags" ], "example": [ "Check: Tags are correct" ], "default": "Skip"}
AWS > SageMaker > Domain > Tags > Template
The template is used to generate the keys and values for AWS SageMaker domain.
Tags not defined in Domain Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "{\n account {\n turbot {\n id\n }\n }\n}\n", "{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"]
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"
AWS > SageMaker > Enabled
Configure whether the AWS SageMaker service is enabled. This will only affect Turbot managed User Roles and will allow the Turbot managed user to access AWS SageMaker service.
Enabled
policy allows Turbot managed users to perform all the actions for the serviceEnabled: Metadata Only
policy allows Turbot managed users to perform only the metadata level actions for the service (likedescribe*
,list*
)
Note:
Disabled
policy disables the service but does NOT disable the API for Turbot or SuperUsers- All the resource data stored in the Turbot CMDB is considered to be metadata
- For more information related to permissions and grant levels, please check the documentation
[ "Enabled", "Enabled: Metadata Only", "Disabled"]
{ "type": "string", "enum": [ "Enabled", "Enabled: Metadata Only", "Disabled" ], "example": [ "Enabled" ], "default": "Disabled"}
AWS > SageMaker > Endpoint > Active
Determine the action to take when an AWS SageMaker endpoint, based on the AWS > SageMaker > Endpoint > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning"]
{ "type": "string", "enum": [ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Endpoint > Active > Age
The age after which the AWS SageMaker endpoint is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Endpoint > Active > Last Modified
The number of days since the AWS SageMaker endpoint was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Endpoint > Approved
Determine the action to take when an AWS SageMaker endpoint is not approved based on AWS > SageMaker > Endpoint > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved", "Enforce: Delete unapproved if new"]
{ "type": "string", "enum": [ "Skip", "Check: Approved", "Enforce: Delete unapproved if new" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Endpoint > Approved > Regions
A list of AWS regions in which AWS SageMaker endpoints are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Endpoint > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Endpoint > Approved > Usage
Determine whether the AWS SageMaker endpoint is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint is not approved, it will be subject to the action specified in the AWS > SageMaker > Endpoint > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Endpoint > CMDB
Configure whether to record and synchronize details for the AWS SageMaker endpoint into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Endpoint > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Endpoint > Regions
A list of AWS regions in which AWS SageMaker endpoints are supported for use.
Any endpoints in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Endpoint > Tags
Determine the action to take when an AWS SageMaker endpoint tags are not updated based on the AWS > SageMaker > Endpoint > Tags > *
policies.
The control ensure AWS SageMaker endpoint tags include tags defined in AWS > SageMaker > Endpoint > Tags > Template
.
Tags not defined in Endpoint Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "Skip", "Check: Tags are correct", "Enforce: Set tags"]
{ "type": "string", "enum": [ "Skip", "Check: Tags are correct", "Enforce: Set tags" ], "example": [ "Check: Tags are correct" ], "default": "Skip"}
AWS > SageMaker > Endpoint > Tags > Template
The template is used to generate the keys and values for AWS SageMaker endpoint.
Tags not defined in Endpoint Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "{\n account {\n turbot {\n id\n }\n }\n}\n", "{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"]
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"
AWS > SageMaker > Endpoint Configuration > Active
Determine the action to take when an AWS SageMaker endpoint configuration, based on the AWS > SageMaker > Endpoint Configuration > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint Configuration > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning"]
{ "type": "string", "enum": [ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Endpoint Configuration > Active > Age
The age after which the AWS SageMaker endpoint configuration is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint Configuration > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Endpoint Configuration > Active > Last Modified
The number of days since the AWS SageMaker endpoint configuration was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Endpoint Configuration > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Endpoint Configuration > Approved
Determine the action to take when an AWS SageMaker endpoint configuration is not approved based on AWS > SageMaker > Endpoint Configuration > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved", "Enforce: Delete unapproved if new"]
{ "type": "string", "enum": [ "Skip", "Check: Approved", "Enforce: Delete unapproved if new" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Endpoint Configuration > Approved > Regions
A list of AWS regions in which AWS SageMaker endpoint configurations are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint configuration is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Endpoint Configuration > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Endpoint Configuration > Approved > Usage
Determine whether the AWS SageMaker endpoint configuration is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker endpoint configuration is not approved, it will be subject to the action specified in the AWS > SageMaker > Endpoint Configuration > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Endpoint Configuration > CMDB
Configure whether to record and synchronize details for the AWS SageMaker endpoint configuration into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Endpoint Configuration > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Endpoint Configuration > Regions
A list of AWS regions in which AWS SageMaker endpoint configurations are supported for use.
Any endpoint configurations in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Endpoint Configuration > Tags
Determine the action to take when an AWS SageMaker endpoint configuration tags are not updated based on the AWS > SageMaker > Endpoint Configuration > Tags > *
policies.
The control ensure AWS SageMaker endpoint configuration tags include tags defined in AWS > SageMaker > Endpoint Configuration > Tags > Template
.
Tags not defined in Endpoint Configuration Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "Skip", "Check: Tags are correct", "Enforce: Set tags"]
{ "type": "string", "enum": [ "Skip", "Check: Tags are correct", "Enforce: Set tags" ], "example": [ "Check: Tags are correct" ], "default": "Skip"}
AWS > SageMaker > Endpoint Configuration > Tags > Template
The template is used to generate the keys and values for AWS SageMaker endpoint configuration.
Tags not defined in Endpoint Configuration Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "{\n account {\n turbot {\n id\n }\n }\n}\n", "{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"]
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"
AWS > SageMaker > Lifecycle Configuration > Active
Determine the action to take when an AWS SageMaker lifecycle configuration, based on the AWS > SageMaker > Lifecycle Configuration > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Lifecycle Configuration > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning"]
{ "type": "string", "enum": [ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Lifecycle Configuration > Active > Age
The age after which the AWS SageMaker lifecycle configuration is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Lifecycle Configuration > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Lifecycle Configuration > Active > Last Modified
The number of days since the AWS SageMaker lifecycle configuration was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Lifecycle Configuration > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Lifecycle Configuration > Approved
Determine the action to take when an AWS SageMaker lifecycle configuration is not approved based on AWS > SageMaker > Lifecycle Configuration > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved", "Enforce: Delete unapproved if new"]
{ "type": "string", "enum": [ "Skip", "Check: Approved", "Enforce: Delete unapproved if new" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Lifecycle Configuration > Approved > Regions
A list of AWS regions in which AWS SageMaker lifecycle configurations are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker lifecycle configuration is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Lifecycle Configuration > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Lifecycle Configuration > Approved > Usage
Determine whether the AWS SageMaker lifecycle configuration is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker lifecycle configuration is not approved, it will be subject to the action specified in the AWS > SageMaker > Lifecycle Configuration > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Lifecycle Configuration > CMDB
Configure whether to record and synchronize details for the AWS SageMaker lifecycle configuration into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Lifecycle Configuration > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Lifecycle Configuration > Regions
A list of AWS regions in which AWS SageMaker lifecycle configurations are supported for use.
Any lifecycle configurations in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Model > Active
Determine the action to take when an AWS SageMaker model, based on the AWS > SageMaker > Model > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Model > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning"]
{ "type": "string", "enum": [ "Skip", "Check: Active", "Enforce: Delete inactive with 1 day warning", "Enforce: Delete inactive with 3 days warning", "Enforce: Delete inactive with 7 days warning", "Enforce: Delete inactive with 14 days warning", "Enforce: Delete inactive with 30 days warning", "Enforce: Delete inactive with 60 days warning", "Enforce: Delete inactive with 90 days warning", "Enforce: Delete inactive with 180 days warning", "Enforce: Delete inactive with 365 days warning" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Model > Active > Age
The age after which the AWS SageMaker model is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Model > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Model > Active > Last Modified
The number of days since the AWS SageMaker model was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Model > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Model > Approved
Determine the action to take when an AWS SageMaker model is not approved based on AWS > SageMaker > Model > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved", "Enforce: Delete unapproved if new"]
{ "type": "string", "enum": [ "Skip", "Check: Approved", "Enforce: Delete unapproved if new" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Model > Approved > Regions
A list of AWS regions in which AWS SageMaker models are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker model is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Model > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Model > Approved > Usage
Determine whether the AWS SageMaker model is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker model is not approved, it will be subject to the action specified in the AWS > SageMaker > Model > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Model > CMDB
Configure whether to record and synchronize details for the AWS SageMaker model into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Model > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Model > Regions
A list of AWS regions in which AWS SageMaker models are supported for use.
Any models in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Model > Tags
Determine the action to take when an AWS SageMaker model tags are not updated based on the AWS > SageMaker > Model > Tags > *
policies.
The control ensure AWS SageMaker model tags include tags defined in AWS > SageMaker > Model > Tags > Template
.
Tags not defined in Model Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "Skip", "Check: Tags are correct", "Enforce: Set tags"]
{ "type": "string", "enum": [ "Skip", "Check: Tags are correct", "Enforce: Set tags" ], "example": [ "Check: Tags are correct" ], "default": "Skip"}
AWS > SageMaker > Model > Tags > Template
The template is used to generate the keys and values for AWS SageMaker model.
Tags not defined in Model Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "{\n account {\n turbot {\n id\n }\n }\n}\n", "{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"]
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"
AWS > SageMaker > Notebook Instance > Active
Determine the action to take when an AWS SageMaker notebook instance, based on the AWS > SageMaker > Notebook Instance > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active", "Enforce: Stop and delete inactive with 1 day warning", "Enforce: Stop and delete inactive with 3 days warning", "Enforce: Stop and delete inactive with 7 days warning", "Enforce: Stop and delete inactive with 14 days warning", "Enforce: Stop and delete inactive with 30 days warning", "Enforce: Stop and delete inactive with 60 days warning", "Enforce: Stop and delete inactive with 90 days warning", "Enforce: Stop and delete inactive with 180 days warning", "Enforce: Stop and delete inactive with 365 days warning"]
{ "type": "string", "enum": [ "Skip", "Check: Active", "Enforce: Stop and delete inactive with 1 day warning", "Enforce: Stop and delete inactive with 3 days warning", "Enforce: Stop and delete inactive with 7 days warning", "Enforce: Stop and delete inactive with 14 days warning", "Enforce: Stop and delete inactive with 30 days warning", "Enforce: Stop and delete inactive with 60 days warning", "Enforce: Stop and delete inactive with 90 days warning", "Enforce: Stop and delete inactive with 180 days warning", "Enforce: Stop and delete inactive with 365 days warning" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Active > Age
The age after which the AWS SageMaker notebook instance is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Active > Budget
The impact of the budget state on the active control. This policy allows you to force
notebookInstances to inactive based on the current budget state, as reflected in
AWS > Account > Budget > State
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if Budget > State is Over or higher", "Force inactive if Budget > State is Critical or higher", "Force inactive if Budget > State is Shutdown"]
{ "type": "string", "enum": [ "Skip", "Force inactive if Budget > State is Over or higher", "Force inactive if Budget > State is Critical or higher", "Force inactive if Budget > State is Shutdown" ], "example": [ "Skip" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Active > Last Modified
The number of days since the AWS SageMaker notebook instance was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Notebook Instance > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Approved
Determine the action to take when an AWS SageMaker notebook instance is not approved based on AWS > SageMaker > Notebook Instance > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved", "Enforce: Stop unapproved", "Enforce: Stop unapproved if new", "Enforce: Stop and delete unapproved if new"]
{ "type": "string", "enum": [ "Skip", "Check: Approved", "Enforce: Stop unapproved", "Enforce: Stop unapproved if new", "Enforce: Stop and delete unapproved if new" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Approved > Budget
The policy allows you to set notebook instances to unapproved based on the current budget state, as reflected in AWS > Account > Budget > State
This policy will be evaluated by the Approved control. If an AWS SageMaker notebook instance is not matched by the approved list, it will be subject to the action specified in the AWS > SageMaker > Notebook Instance > Approved
policy.
See Approved for more information.
[ "Skip", "Unapproved if Budget > State is Over or higher", "Unapproved if Budget > State is Critical or higher", "Unapproved if Budget > State is Shutdown"]
{ "type": "string", "enum": [ "Skip", "Unapproved if Budget > State is Over or higher", "Unapproved if Budget > State is Critical or higher", "Unapproved if Budget > State is Shutdown" ], "example": [ "Unapproved if Budget > State is Shutdown" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Approved > Regions
A list of AWS regions in which AWS SageMaker notebook instances are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker notebook instance is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Notebook Instance > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Notebook Instance > Approved > Usage
Determine whether the AWS SageMaker notebook instance is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker notebook instance is not approved, it will be subject to the action specified in the AWS > SageMaker > Notebook Instance > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Notebook Instance > CMDB
Configure whether to record and synchronize details for the AWS SageMaker notebook instance into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Notebook Instance > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Notebook Instance > Regions
A list of AWS regions in which AWS SageMaker notebook instances are supported for use.
Any notebook instances in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Notebook Instance > Tags
Determine the action to take when an AWS SageMaker notebook instance tags are not updated based on the AWS > SageMaker > Notebook Instance > Tags > *
policies.
The control ensure AWS SageMaker notebook instance tags include tags defined in AWS > SageMaker > Notebook Instance > Tags > Template
.
Tags not defined in Notebook Instance Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "Skip", "Check: Tags are correct", "Enforce: Set tags"]
{ "type": "string", "enum": [ "Skip", "Check: Tags are correct", "Enforce: Set tags" ], "example": [ "Check: Tags are correct" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Tags > Template
The template is used to generate the keys and values for AWS SageMaker notebook instance.
Tags not defined in Notebook Instance Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "{\n account {\n turbot {\n id\n }\n }\n}\n", "{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"]
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"
AWS > SageMaker > Notebook Instance > Usage
Configure the number of AWS SageMaker notebook instances that can be used for this account and the current consumption against the limit.
You can configure the behavior of the control with this AWS > SageMaker > Notebook Instance > Usage
policy.
[ "Skip", "Check: Usage <= 85% of Limit", "Check: Usage <= 100% of Limit"]
{ "type": "string", "enum": [ "Skip", "Check: Usage <= 85% of Limit", "Check: Usage <= 100% of Limit" ], "example": [ "Check: Usage <= 85% of Limit" ], "default": "Skip"}
AWS > SageMaker > Notebook Instance > Usage > Limit
Maximum number of items that can be created for this account.
{ "type": "integer", "minimum": 0, "default": 20}
AWS > SageMaker > Permissions
Configure whether permissions policies are in effect for AWS SageMaker.
This setting does not affect account level permissions (AWS/Admin, AWS/Owner, etc)
Note: The behavior of this policy depends on the value of AWS > Permissions.
[ "Enabled", "Disabled", "Enabled if AWS > SageMaker > Enabled & AWS > SageMaker > API Enabled"]
{ "type": "string", "enum": [ "Enabled", "Disabled", "Enabled if AWS > SageMaker > Enabled & AWS > SageMaker > API Enabled" ], "example": [ "Enabled" ], "default": "Enabled if AWS > SageMaker > Enabled & AWS > SageMaker > API Enabled"}
AWS > SageMaker > Permissions > Levels
Define the permissions levels that can be used to grant access to an AWS account. Permissions levels defined will appear in the UI to assign access to Turbot users. This policy provides a default for Permissions > Levels in each service, however you can explicitly override the setting for each service if desired
[ "{\n item: account {\n turbot{\n id\n }\n }\n}\n", "{\n availableLevels: policyValues(filter:\"policyTypeLevel:self resourceId:{{ $.item.turbot.id }} policyTypeId:'tmod:@turbot/aws-iam#/policy/types/permissionsLevelsDefault'\") {\n items {\n value\n }\n }\n}\n"]
"{% if $.availableLevels.items[0].value | length == 0 %} [] {% endif %}{% for item in $.availableLevels.items[0].value %}- {{ item }}\n{% endfor %}"
{ "type": "array", "items": { "type": "string", "enum": [ "Metadata", "ReadOnly", "Operator", "Admin", "Owner" ] }}
AWS > SageMaker > Permissions > Levels > Modifiers
A map of AWS API to Turbot Permission Level used to customize Turbot's standard permissions. You can add, remove or redefine the mapping of AWS API operations to Turbot permissions levels here.
Note: Modifiers are cumulative - if you add a permission to the Metadata level, it is also added to ReadOnly, Operator and Admin. Modifier policies set here apply ONLY to the AWS level
example: - "glacier:createvault": admin - "glacier:ListVaults": metadata - "s3:DeleteBucket": none
AWS > SageMaker > Permissions > Lockdown
AWS > SageMaker > Permissions > Lockdown > API Boundary
Configure whether the AWS sageMaker API is enabled for all users and roles in turbot-managed boundary policies.
Note: Disabling the service disables the API for ALL users and roles, and Turbot will have no access to the API.
[ "Enabled if AWS > SageMaker > API Enabled"]
{ "type": "string", "enum": [ "Enabled if AWS > SageMaker > API Enabled" ], "example": [ "Enabled if AWS > SageMaker > API Enabled" ], "default": "Enabled if AWS > SageMaker > API Enabled"}
AWS > SageMaker > Regions
A list of AWS regions in which AWS SageMaker resources are supported for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy is the default value for all AWS SageMaker resources' Regions policies.
{ "allOf": [ { "$ref": "aws#/definitions/regionNameMatcherList" }, { "default": [ "ap-east-1", "ap-northeast-1", "ap-northeast-2", "ap-south-1", "ap-southeast-1", "ap-southeast-2", "ca-central-1", "cn-north-1", "cn-northwest-1", "eu-central-1", "eu-north-1", "eu-west-1", "eu-west-2", "eu-west-3", "me-south-1", "sa-east-1", "us-east-1", "us-east-2", "us-gov-west-1", "us-west-1", "us-west-2" ] } ]}
AWS > SageMaker > Tags Template [Default]
A template used to generate the keys and values for AWS SageMaker resources.
By default, all SageMaker resource Tags > Template policies will use this value.
"{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws#/policy/types/defaultTagsTemplate\") {\n value\n }\n}\n"
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"
AWS > SageMaker > Training Job > Active
Determine the action to take when an AWS SageMaker training job, based on the AWS > SageMaker > Training Job > Active > *
policies.
The control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Training Job > Active > *
), raises an alarm, and takes the defined enforcement
action. Each Active sub-policy can calculate a status of active, inactive
or skipped. Generally, if the resource appears to be Active for any reason
it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved for any reason it will be considered
Unapproved.
See Active for more information.
[ "Skip", "Check: Active"]
{ "type": "string", "enum": [ "Skip", "Check: Active" ], "example": [ "Check: Active" ], "default": "Skip"}
AWS > SageMaker > Training Job > Active > Age
The age after which the AWS SageMaker training job is no longer considered active. If a create time is unavailable, the time Turbot discovered the resource is used.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Training Job > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days"]
{ "type": "string", "enum": [ "Skip", "Force inactive if age > 1 day", "Force inactive if age > 3 days", "Force inactive if age > 7 days", "Force inactive if age > 14 days", "Force inactive if age > 30 days", "Force inactive if age > 60 days", "Force inactive if age > 90 days", "Force inactive if age > 180 days", "Force inactive if age > 365 days" ], "example": [ "Force inactive if age > 90 days" ], "default": "Skip"}
AWS > SageMaker > Training Job > Active > Last Modified
The number of days since the AWS SageMaker training job was last modified before it is considered inactive.
The Active control determines whether the resource is in active use, and if not, has the ability to delete / cleanup the resource. When running an automated compliance environment, it's common to end up with a wide range of alarms that are difficult and time consuming to clear. The Active control brings automated, well-defined control to this process.
The Active control checks the status of all defined Active policies for the
resource (AWS > SageMaker > Training Job > Active > *
),
raises an alarm, and takes the defined enforcement action. Each Active
sub-policy can calculate a status of active, inactive or skipped. Generally,
if the resource appears to be Active for any reason it will be considered Active.
Note the contrast with Approved, where if the resource appears to be Unapproved
for any reason it will be considered Unapproved.
See Active for more information.
[ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days"]
{ "type": "string", "enum": [ "Skip", "Active if last modified <= 1 day", "Active if last modified <= 3 days", "Active if last modified <= 7 days", "Active if last modified <= 14 days", "Active if last modified <= 30 days", "Active if last modified <= 60 days", "Active if last modified <= 90 days", "Active if last modified <= 180 days", "Active if last modified <= 365 days", "Force active if last modified <= 1 day", "Force active if last modified <= 3 days", "Force active if last modified <= 7 days", "Force active if last modified <= 14 days", "Force active if last modified <= 30 days", "Force active if last modified <= 60 days", "Force active if last modified <= 90 days", "Force active if last modified <= 180 days", "Force active if last modified <= 365 days" ], "example": [ "Active if last modified <= 90 days" ], "default": "Skip"}
AWS > SageMaker > Training Job > Approved
Determine the action to take when an AWS SageMaker training job is not approved based on AWS > SageMaker > Training Job > Approved > *
policies.
The Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.
For any enforcement actions that specify if new
, e.g., Enforce: Delete unapproved if new
, this control will only take the enforcement actions for resources created within the last 60 minutes.
See Approved for more information.
[ "Skip", "Check: Approved"]
{ "type": "string", "enum": [ "Skip", "Check: Approved" ], "example": [ "Check: Approved" ], "default": "Skip"}
AWS > SageMaker > Training Job > Approved > Regions
A list of AWS regions in which AWS SageMaker training jobs are approved for use.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
This policy will be evaluated by the Approved control. If an AWS SageMaker training job is created in a region that is not in the approved list, it will be subject to the action specified in the AWS > SageMaker > Training Job > Approved
policy.
See Approved for more information.
"{\n regions: policy(uri: \"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerApprovedRegionsDefault\")\n}\n"
"{% if $.regions | length == 0 %} [] {% endif %}{% for item in $.regions %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Training Job > Approved > Usage
Determine whether the AWS SageMaker training job is allowed to exist.
This policy will be evaluated by the Approved control. If an AWS SageMaker training job is not approved, it will be subject to the action specified in the AWS > SageMaker > Training Job > Approved
policy.
See Approved for more information.
[ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled"]
{ "type": "string", "enum": [ "Not approved", "Approved", "Approved if AWS > SageMaker > Enabled" ], "example": [ "Not approved" ], "default": "Approved if AWS > SageMaker > Enabled"}
AWS > SageMaker > Training Job > CMDB
Configure whether to record and synchronize details for the AWS SageMaker training job into the CMDB.
The CMDB control is responsible for populating and updating all the attributes for that resource type in the Turbot CMDB. All policies and controls in Turbot are based around the resource, so usually the CMDB policy is set to "Enforce: Enabled".
If set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.
To cleanup resources and stop tracking changes, set this policy to "Enforce: Disabled".
CMDB controls also use the Regions policy associated with the resource. If region is not in AWS > SageMaker > Training Job > Regions
policy, the CMDB control will delete the resource from the CMDB.
(Note: Setting CMDB to "Skip" will also pause these changes.)
[ "Skip", "Enforce: Enabled", "Enforce: Disabled"]
{ "type": "string", "enum": [ "Skip", "Enforce: Enabled", "Enforce: Disabled" ], "example": [ "Skip" ], "default": "Enforce: Enabled"}
AWS > SageMaker > Training Job > Regions
A list of AWS regions in which AWS SageMaker training jobs are supported for use.
Any training jobs in a region not listed here will not be recorded in CMDB.
The expected format is an array of regions names. You may use the '*' and '?' wildcard characters.
"{\n regions: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerRegionsDefault\") {\n value\n }\n}\n"
"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"
AWS > SageMaker > Training Job > Tags
Determine the action to take when an AWS SageMaker training job tags are not updated based on the AWS > SageMaker > Training Job > Tags > *
policies.
The control ensure AWS SageMaker training job tags include tags defined in AWS > SageMaker > Training Job > Tags > Template
.
Tags not defined in Training Job Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "Skip", "Check: Tags are correct", "Enforce: Set tags"]
{ "type": "string", "enum": [ "Skip", "Check: Tags are correct", "Enforce: Set tags" ], "example": [ "Check: Tags are correct" ], "default": "Skip"}
AWS > SageMaker > Training Job > Tags > Template
The template is used to generate the keys and values for AWS SageMaker training job.
Tags not defined in Training Job Tags Template will not be modified or deleted. Setting a tag value to undefined
will result in the tag being deleted.
See Tags for more information.
[ "{\n account {\n turbot {\n id\n }\n }\n}\n", "{\n defaultTags: policyValue(uri:\"tmod:@turbot/aws-sagemaker#/policy/types/sageMakerTagsTemplate\" resourceId: \"{{ $.account.turbot.id }}\") {\n value\n }\n}\n"]
"{%- if $.defaultTags.value | length == 0 %} [] {%- elif $.defaultTags.value != undefined %}{{ $.defaultTags.value | dump | safe }}{%- else %}{% for item in $.defaultTags.value %}- {{ item }}{% endfor %}{% endif %}"
AWS > Turbot > Event Handlers > Events > Rules > Event Sources > @turbot/aws-sagemaker
AWS SageMaker CloudWatch Events event sources for the Turbot Event Handlers.
{ "type": "array", "items": { "type": "string" }, "default": [ "aws.sagemaker" ]}
AWS > Turbot > Permissions > Compiled > API Boundary > @turbot/aws-sagemaker
A read-only policy generated by Turbot that lists the APIs that
should be added to the turbot-managed (hard) boundary policy,
thereby enabling them to be assigned to users and roles.
This value will change depending on the value of the value of the
AWS > SageMaker > Permissions > Lockdown > API Boundary
policy
{ "type": "array"}
AWS > Turbot > Permissions > Compiled > Levels > @turbot/aws-sagemaker
A calculated policy that Turbot uses to create a compiled list of ALL permissions for AWS SageMaker that is used as input to the stack that manages the Turbot IAM permissions objects.
AWS > Turbot > Permissions > Compiled > Service Permissions > @turbot/aws-sagemaker
A calculated policy that Turbot uses to create a compiled list of ALL permissions for AWS SageMaker that is used as input to the control that manages the IAM stack.