How EMR Serverless works with IAM - Amazon EMR
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How EMR Serverless works with IAM

Before you use IAM to manage access to Amazon EMR Serverless, learn what IAM features are available to use with Amazon EMR Serverless.

IAM features you can use with EMR Serverless
IAM feature Amazon EMR Serverless support

Identity-based policies

Yes

Resource-based policies

No

Policy actions

Yes

Policy resources

Yes

Policy condition keys

No

ACLs

No

ABAC (tags in policies)

Yes

Temporary credentials

Yes

Principal permissions

Yes

Service roles

No

Service-linked roles

Yes

To get a high-level view of how EMR Serverless and other Amazon services work with most IAM features, see Amazon services that work with IAM in the IAM User Guide.

Identity-based policies for EMR Serverless

Supports identity-based policies

Yes

Identity-based policies are JSON permissions policy documents that you can attach to an identity, such as an IAM user, group of users, or role. These policies control what actions users and roles can perform, on which resources, and under what conditions. To learn how to create an identity-based policy, see Creating IAM policies in the IAM User Guide.

With IAM identity-based policies, you can specify allowed or denied actions and resources as well as the conditions under which actions are allowed or denied. You can't specify the principal in an identity-based policy because it applies to the user or role to which it is attached. To learn about all of the elements that you can use in a JSON policy, see IAM JSON policy elements reference in the IAM User Guide.

Sample identity-based policies for EMR Serverless

To view examples of Amazon EMR Serverless identity-based policies, see Identity-based policy examples for EMR Serverless.

Resource-based policies within EMR Serverless

Supports resource-based policies

No

Resource-based policies are JSON policy documents that you attach to a resource. Examples of resource-based policies are IAM role trust policies and Amazon S3 bucket policies. In services that support resource-based policies, service administrators can use them to control access to a specific resource. For the resource where the policy is attached, the policy defines what actions a specified principal can perform on that resource and under what conditions. You must specify a principal in a resource-based policy. Principals can include accounts, users, roles, federated users, or Amazon Web Services.

To enable cross-account access, you can specify an entire account or IAM entities in another account as the principal in a resource-based policy. Adding a cross-account principal to a resource-based policy is only half of establishing the trust relationship. When the principal and the resource are in different Amazon Web Services accounts, an IAM administrator in the trusted account must also grant the principal entity (user or role) permission to access the resource. They grant permission by attaching an identity-based policy to the entity. However, if a resource-based policy grants access to a principal in the same account, no additional identity-based policy is required. For more information, see How IAM roles differ from resource-based policies in the IAM User Guide.

Policy actions for EMR Serverless

Supports policy actions

Yes

Administrators can use Amazon JSON policies to specify who has access to what. That is, which principal can perform actions on what resources, and under what conditions.

The Action element of a JSON policy describes the actions that you can use to allow or deny access in a policy. Policy actions usually have the same name as the associated Amazon API operation. There are some exceptions, such as permission-only actions that don't have a matching API operation. There are also some operations that require multiple actions in a policy. These additional actions are called dependent actions.

Include actions in a policy to grant permissions to perform the associated operation.

To see a list of EMR Serverless actions, see Actions, resources, and condition keys for Amazon EMR Serverless in the Service Authorization Reference.

Policy actions in EMR Serverless use the following prefix before the action.

emr-serverless

To specify multiple actions in a single statement, separate them with commas.

"Action": [ "emr-serverless:action1", "emr-serverless:action2" ]

To view examples of Amazon EMR Serverless identity-based policies, see Identity-based policy examples for EMR Serverless.

Policy resources for EMR Serverless

Supports policy resources

Yes

Administrators can use Amazon JSON policies to specify who has access to what. That is, which principal can perform actions on what resources, and under what conditions.

The Resource JSON policy element specifies the object or objects to which the action applies. Statements must include either a Resource or a NotResource element. As a best practice, specify a resource using its Amazon Resource Name (ARN). You can do this for actions that support a specific resource type, known as resource-level permissions.

For actions that don't support resource-level permissions, such as listing operations, use a wildcard (*) to indicate that the statement applies to all resources.

"Resource": "*"

To see a list of Amazon EMR Serverless resource types and their ARNs, see Resources defined by Amazon EMR Serverless in the Service Authorization Reference. To learn which actions you can specify the ARN of each resource, see Actions, resources, and condition keys for Amazon EMR Serverless.

To view examples of Amazon EMR Serverless identity-based policies, see Identity-based policy examples for EMR Serverless.

Policy condition keys for EMR Serverless

Supports service-specific policy condition keys No

Administrators can use Amazon JSON policies to specify who has access to what. That is, which principal can perform actions on what resources, and under what conditions.

The Condition element (or Condition block) lets you specify conditions in which a statement is in effect. The Condition element is optional. You can create conditional expressions that use condition operators, such as equals or less than, to match the condition in the policy with values in the request.

If you specify multiple Condition elements in a statement, or multiple keys in a single Condition element, Amazon evaluates them using a logical AND operation. If you specify multiple values for a single condition key, Amazon evaluates the condition using a logical OR operation. All of the conditions must be met before the statement's permissions are granted.

You can also use placeholder variables when you specify conditions. For example, you can grant an IAM user permission to access a resource only if it is tagged with their IAM user name. For more information, see IAM policy elements: variables and tags in the IAM User Guide.

Amazon supports global condition keys and service-specific condition keys. To see all Amazon global condition keys, see Amazon global condition context keys in the IAM User Guide.

To see a list of Amazon EMR Serverless condition keys and to learn which actions and resources you can use a condition key, see Actions, resources, and condition keys for Amazon EMR Serverless in the Service Authorization Reference.

All Amazon EC2 actions support the aws:RequestedRegion and ec2:Region condition keys. For more information, see Example: Restricting access to a specific region.

Access control lists (ACLs) in EMR Serverless

Supports ACLs

No

Access control lists (ACLs) control which principals (account members, users, or roles) have permissions to access a resource. ACLs are similar to resource-based policies, although they do not use the JSON policy document format.

Attribute-based access control (ABAC) with EMR Serverless

Supports ABAC (tags in policies) Yes

Attribute-based access control (ABAC) is an authorization strategy that defines permissions based on attributes. In Amazon, these attributes are called tags. You can attach tags to IAM entities (users or roles) and to many Amazon resources. Tagging entities and resources is the first step of ABAC. Then you design ABAC policies to allow operations when the principal's tag matches the tag on the resource that they are trying to access.

ABAC is helpful in environments that are growing rapidly and helps with situations where policy management becomes cumbersome.

To control access based on tags, you provide tag information in the condition element of a policy using the aws:ResourceTag/key-name, aws:RequestTag/key-name, or aws:TagKeys condition keys.

If a service supports all three condition keys for every resource type, then the value is Yes for the service. If a service supports all three condition keys for only some resource types, then the value is Partial.

For more information about ABAC, see What is ABAC? in the IAM User Guide. To view a tutorial with steps for setting up ABAC, see Use attribute-based access control (ABAC) in the IAM User Guide.

Using Temporary credentials with EMR Serverless

Supports temporary credentials

Yes

Some Amazon Web Services don't work when you sign in using temporary credentials. For additional information, including which Amazon Web Services work with temporary credentials, see Amazon Web Services that work with IAM in the IAM User Guide.

You are using temporary credentials if you sign in to the Amazon Web Services Management Console using any method except a user name and password. For example, when you access Amazon using your company's single sign-on (SSO) link, that process automatically creates temporary credentials. You also automatically create temporary credentials when you sign in to the console as a user and then switch roles. For more information about switching roles, see Switching to a role (console) in the IAM User Guide.

You can manually create temporary credentials using the Amazon CLI or Amazon API. You can then use those temporary credentials to access Amazon. Amazon recommends that you dynamically generate temporary credentials instead of using long-term access keys. For more information, see Temporary security credentials in IAM.

Cross-service principal permissions for EMR Serverless

Supports principal permissions

Yes

When you use an IAM user or role to perform actions in Amazon, you are considered a principal. Policies grant permissions to a principal. When you use some services, you might perform an action that then triggers another action in a different service. In this case, you must have permissions to perform both actions. To see whether an action requires additional dependent actions in a policy, see Actions, resources, and condition keys for Amazon EMR Serverless in the Service Authorization Reference.

Service roles for EMR Serverless

Supports service roles No

Service-linked roles for EMR Serverless

Supports service-linked roles Yes

For details about creating or managing service-linked roles, see Amazon services that work with IAM. Find a service in the table that includes a Yes in the Service-linked role column. Choose the Yes link to view the service-linked role documentation for that service.