Policy types for @turbot/azure-databricks

• Azure > Databricks > Approved Regions [Default]
• Azure > Databricks > Enabled
• Azure > Databricks > Permissions
• Azure > Databricks > Permissions > Levels
• Azure > Databricks > Permissions > Levels > Modifiers
• Azure > Databricks > Regions
• Azure > Databricks > Tags Template [Default]
• Azure > Databricks > Workspace > Active
• Azure > Databricks > Workspace > Active > Age
• Azure > Databricks > Workspace > Active > Last Modified
• Azure > Databricks > Workspace > Approved
• Azure > Databricks > Workspace > Approved > Custom
• Azure > Databricks > Workspace > Approved > Regions
• Azure > Databricks > Workspace > Approved > Usage
• Azure > Databricks > Workspace > CMDB
• Azure > Databricks > Workspace > Regions
• Azure > Databricks > Workspace > Tags
• Azure > Databricks > Workspace > Tags > Template
• Azure > Turbot > Permissions > Compiled > Levels > @turbot/azure-databricks
• Azure > Turbot > Permissions > Compiled > Service Permissions > @turbot/azure-databricks

Azure > Databricks > Approved Regions [Default]

A list of Azure regions in which Azure Databricks 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 Azure Databricks resources' Approved > Regions policies.

"{\n  regions: policyValue(uri:\"tmod:@turbot/azure#/policy/types/approvedRegionsDefault\") {\n    value\n  }\n}\n"

"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"

Azure > Databricks > Enabled

Enable Azure Databricks service.

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

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

Azure > Databricks > Permissions

Configure whether permissions policies are in effect for Azure Databricks
This setting does not affect Subscription level permissions (Azure/Admin, Azure/Owner, etc)

[
  "Enabled",
  "Disabled",
  "Enabled if Azure > Databricks > Enabled"
]

{
  "type": "string",
  "enum": [
    "Enabled",
    "Disabled",
    "Enabled if Azure > Databricks > Enabled"
  ],
  "example": [
    "Enabled"
  ],
  "default": "Enabled if Azure > Databricks > Enabled"
}

Azure > Databricks > Permissions > Levels

Define the permissions levels that can be used to grant access to Storage an
Azure Subscription. Permissions levels defined will appear in the UI to assign
access to Guardrails users.

[
  "{\n  item: subscription {\n    turbot{\n      id\n    }\n  }\n}\n",
  "{\n  availableLevels: policyValues(filter:\"policyTypeLevel:self resourceId:{{ $.item.turbot.id }} policyTypeId:'tmod:@turbot/azure-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": [
      "User",
      "Metadata",
      "ReadOnly",
      "Operator",
      "Admin",
      "Owner"
    ]
  }
}

Azure > Databricks > Permissions > Levels > Modifiers

A map of Azure API to Guardrails Permission Level used to customize Guardrails'
standard permissions. You can add, remove or redefine the mapping of
Azure API operations to Guardrails permissions levels here.

<br />example:<br /> - &quot;Microsoft.Databricks/Databricks/delete&quot;: operator<br /> - &quot;Microsoft.Databricks/Databricks/write&quot;: admin<br /> - &quot;Microsoft.Databricks/Databricks/read&quot;: readonly<br />

Azure > Databricks > Regions

A list of Azure regions in which Azure Databricks 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 Azure Databricks resources' Regions policies.

{
  "allOf": [
    {
      "$ref": "azure#/definitions/regionNameMatcherList"
    },
    {
      "default": [
        "canadacentral",
        "canadaeast",
        "centralus",
        "eastus",
        "eastus2",
        "northcentralus",
        "southcentralus",
        "westus",
        "westus2"
      ]
    }
  ]
}

Azure > Databricks > Tags Template [Default]

A template used to generate the keys and values for Azure Databricks resources.

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

"{\n  defaultTags: policyValue(uri:\"tmod:@turbot/azure#/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 %}"

Azure > Databricks > Workspace > Active

Determine the action to take when an Azure Databricks workspace, based on the Azure > Databricks > Workspace > 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 (Azure > Databricks > Workspace > 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: In 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"
}

Azure > Databricks > Workspace > Active > Age

The age after which the Azure Databricks workspace
is no longer considered active. If a create time is unavailable, the time Guardrails 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 (Azure > Databricks > Workspace > 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 In 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"
}

Azure > Databricks > Workspace > Active > Last Modified

The number of days since the Azure Databricks workspace 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 (Azure > Databricks > Workspace > 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 In contrast with Approved, where if the
resource appears to be Unapproved for any reason it will be considered
Unapproved.

[
  "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"
}

Azure > Databricks > Workspace > Approved

Determine the action to take when an Azure Databricks workspace is not approved based on Azure > Databricks > Workspace > 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"
}

Azure > Databricks > Workspace > Approved > Custom

Determine whether the Azure Databricks workspace is allowed to exist.
This policy will be evaluated by the Approved control. If an Azure Databricks workspace is not approved, it will be subject to the action specified in the Azure > Databricks > Workspace > 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"
}

Azure > Databricks > Workspace > Approved > Regions

A list of Azure regions in which Azure Databricks workspaces 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 Azure Databricks workspace is created in a region that is not in the approved list, it will be subject to the action specified in the Azure > Databricks > Workspace > Approved policy.

See Approved for more information.

"{\n  regions: policyValue(uri:\"tmod:@turbot/azure-databricks#/policy/types/databricksApprovedRegionsDefault\") {\n    value\n  }\n}\n"

"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"

Azure > Databricks > Workspace > Approved > Usage

Determine whether the Azure Databricks workspace is allowed to exist.

This policy will be evaluated by the Approved control. If an Azure Databricks workspace is not approved, it will be subject to the action specified in the Azure > Databricks > Workspace > Approved policy.

See Approved for more information.

[
  "Not approved",
  "Approved",
  "Approved if Azure > Databricks > Enabled"
]

{
  "type": "string",
  "enum": [
    "Not approved",
    "Approved",
    "Approved if Azure > Databricks > Enabled"
  ],
  "example": [
    "Not approved"
  ],
  "default": "Approved if Azure > Databricks > Enabled"
}

Azure > Databricks > Workspace > CMDB

Configure whether to record and synchronize details for the Azure Databricks workspace into the CMDB.

The CMDB control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.
All policies and controls in Guardrails 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 Azure > Databricks > Workspace > 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: Enabled if Databricks provider is Registered",
  "Enforce: Disabled"
]

{
  "type": "string",
  "enum": [
    "Skip",
    "Enforce: Enabled",
    "Enforce: Enabled if Databricks provider is Registered",
    "Enforce: Disabled"
  ],
  "example": [
    "Skip"
  ],
  "default": "Enforce: Enabled if Databricks provider is Registered"
}

Azure > Databricks > Workspace > Regions

A list of Azure regions in which Azure Databricks workspaces are supported for use.

Any workspaces 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/azure-databricks#/policy/types/databricksRegionsDefault\") {\n    value\n  }\n}\n"

"{% if $.regions.value | length == 0 %} [] {% endif %}{% for item in $.regions.value %}- '{{ item }}'\n{% endfor %}"

Azure > Databricks > Workspace > Tags

Determine the action to take when an Azure Databricks workspace tags are not updated based on the Azure > Databricks > Workspace > Tags > * policies.

The control ensure Azure Databricks workspace tags include tags defined in Azure > Databricks > Workspace > Tags > Template.

Tags not defined in Workspace 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"
}

Azure > Databricks > Workspace > Tags > Template

The template is used to generate the keys and values for Azure Databricks workspace.

Tags not defined in Workspace 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  subscription {\n    turbot {\n      id\n    }\n  }\n}\n",
  "{\n  defaultTags: policyValue(uri:\"tmod:@turbot/azure-databricks#/policy/types/databricksTagsTemplate\" resourceId: \"{{ $.subscription.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 %}"

Azure > Turbot > Permissions > Compiled > Levels > @turbot/azure-databricks

A calculated policy that Guardrails uses to create a compiled list of ALL
permission levels for Azure Databricks that is used as input to the
stack that manages the Guardrails IAM permissions objects.

Azure > Turbot > Permissions > Compiled > Service Permissions > @turbot/azure-databricks

A calculated policy that Guardrails uses to create a compiled list of ALL
permissions for Azure Databricks that is used as input to the control that manages
the IAM stack.