Policy types for @turbot/aws-machinelearning

• AWS > Machine Learning > API Enabled
• AWS > Machine Learning > Approved Regions [Default]
• AWS > Machine Learning > Enabled
• AWS > Machine Learning > Permissions
• AWS > Machine Learning > Permissions > Levels
• AWS > Machine Learning > Permissions > Levels > Modifiers
• AWS > Machine Learning > Permissions > Lockdown
• AWS > Machine Learning > Permissions > Lockdown > API Boundary
• AWS > Machine Learning > Regions
• AWS > Machine Learning > Tags Template [Default]
• AWS > Turbot > Permissions > Compiled > API Boundary > @turbot/aws-machinelearning
• AWS > Turbot > Permissions > Compiled > Levels > @turbot/aws-machinelearning
• AWS > Turbot > Permissions > Compiled > Service Permissions > @turbot/aws-machinelearning

AWS > Machine Learning > API Enabled

Configure whether the AWS Machine Learning 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 > Machine Learning > Enabled"
]

{
  "type": "string",
  "enum": [
    "Enabled",
    "Disabled",
    "Enabled if AWS > Machine Learning > Enabled"
  ],
  "default": "Enabled"
}

AWS > Machine Learning > Approved Regions [Default]

A list of AWS regions in which AWS Machine Learning 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 Machine Learning resources' Approved > Regions policies.

AWS > Machine Learning > Enabled

Enabled Machine Learning.

[
  "Enabled",
  "Enabled: Metadata Only",
  "Disabled"
]

{
  "type": "string",
  "enum": [
    "Enabled",
    "Enabled: Metadata Only",
    "Disabled"
  ],
  "example": [
    "Enabled"
  ],
  "default": "Disabled"
}

AWS > Machine Learning > Permissions

Configure whether permissions policies are in effect for AWS Machine Learning.

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 > Machine Learning > Enabled & AWS > Machine Learning > API Enabled"
]

{
  "type": "string",
  "enum": [
    "Enabled",
    "Disabled",
    "Enabled if AWS > Machine Learning > Enabled & AWS > Machine Learning > API Enabled"
  ],
  "example": [
    "Enabled"
  ],
  "default": "Enabled if AWS > Machine Learning > Enabled & AWS > Machine Learning > API Enabled"
}

AWS > Machine Learning > 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

{
  "type": "array",
  "items": {
    "type": "string",
    "enum": [
      "Metadata",
      "ReadOnly",
      "Operator",
      "Admin",
      "Owner"
    ]
  }
}

AWS > Machine Learning > 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 > Machine Learning > Permissions > Lockdown

AWS > Machine Learning > Permissions > Lockdown > API Boundary

Configure whether the AWS machineLearning 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 > Machine Learning > API Enabled"
]

{
  "type": "string",
  "enum": [
    "Enabled if AWS > Machine Learning > API Enabled"
  ],
  "example": [
    "Enabled if AWS > Machine Learning > API Enabled"
  ],
  "default": "Enabled if AWS > Machine Learning > API Enabled"
}

AWS > Machine Learning > Regions

A list of AWS regions in which AWS Machine Learning 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 Machine Learning resources' Regions policies.

{
  "allOf": [
    {
      "$ref": "aws#/definitions/regionNameMatcherList"
    },
    {
      "default": [
        "eu-west-1",
        "us-east-1"
      ]
    }
  ]
}

AWS > Machine Learning > Tags Template [Default]

A template used to generate the keys and values for AWS Machine Learning resources.

By default, all Machine Learning resource Tags > Template policies will use this value.

AWS > Turbot > Permissions > Compiled > API Boundary > @turbot/aws-machinelearning

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 > Machine Learning > Permissions > Lockdown > API Boundary policy

{
  "type": "array"
}

AWS > Turbot > Permissions > Compiled > Levels > @turbot/aws-machinelearning

A calculated policy that Turbot uses to create a compiled list of ALL permissions for AWS Machine Learning that is used as input to the stack that manages the Turbot IAM permissions objects.

AWS > Turbot > Permissions > Compiled > Service Permissions > @turbot/aws-machinelearning

A calculated policy that Turbot uses to create a compiled list of ALL permissions for AWS Machine Learning that is used as input to the control that manages the IAM stack.