Identity-based IAM policies for HealthOmics

Mode fokus

Identity-based IAM policies for HealthOmics - AWS HealthOmics

Halaman ini belum diterjemahkan ke dalam bahasa Anda. Minta terjemahan

To grant users in your account access to HealthOmics, you use identity-based policies in AWS Identity and Access Management (IAM). Identity-based policies can apply directly to IAM users, or to IAM groups and roles that are associated with a user. You can also grant users in another account permission to assume a role in your account and access your HealthOmics resources.

The following IAM policy allows a user to access all HealthOmics API actions, and to pass service roles to HealthOmics.

Example User policy


{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "omics:*"
      ],
      "Resource": "*"
    },
    {
      "Effect": "Allow",
      "Action": [
        "iam:PassRole"
      ],
      "Resource": "*",
      "Condition": {
        "StringEquals": {
          "iam:PassedToService": "omics.amazonaws.com"
        }
      }
    }
  ]
}

When you use HealthOmics, you also interact with other AWS services. To access these services, use the managed policies provided by each service. To restrict access to a subset of resources, you can use the managed policies as a starting point to create your own more restrictive policies.

AmazonS3FullAccess – Access to Amazon S3 buckets and objects used by jobs.
AmazonEC2ContainerRegistryFullAccess – Access to Amazon ECR registries and repositories for workflow container images.
AWSLakeFormationDataAdmin – Access to Lake Formation databases and tables created by analytics stores.
ResourceGroupsandTagEditorFullAccess – Tag HealthOmics resources with HealthOmics tagging API operations.

The preceding policies don't allow a user to create IAM roles. For a user with these permissions to run a job, an administrator must create the service role that grants HealthOmics permission to access data sources. For more information, see Service roles for AWS HealthOmics.

Define custom IAM permissions for runs

You can include any workflow, run, or run group referenced by the StartRun request in an authorization request. To do so, list the desired combination of workflows, runs, or run groups in the IAM policy. For example, you can limit the use of a workflow to a specific run or run group. You can also specify that a workflow only be used with a run group.

The following is an example IAM policy that allows a single workflow with a single run group.


{
  "Version": "2012-10-17",
  "Statement": [
      {
          "Effect": "Allow",
          "Action": [
              "omics:StartRun"
          ],
          "Resource": [
              "arn:aws:omics:us-west-2:123456789012:workflow/1234567",
              "arn:aws:omics:us-west-2:123456789012:runGroup/2345678"
          ]
      },
      {
          # Optionally, allow user to rerun a failed run.
          "Effect": "Allow",
          "Action": [
              "omics:StartRun"
          ],
          "Resource": [
              "arn:aws:omics:us-west-2:123456789012:run/*",
              "arn:aws:omics:us-west-2:123456789012:runGroup/2345678"
          ]
      },
      {
          "Effect": "Allow",
          "Action": [
              "omics:GetRun",
              "omics:ListRunTasks",
              "omics:GetRunTask",
              "omics:CancelRun",
              "omics:DeleteRun"
          ],
          "Resource": [
              "arn:aws:omics:us-west-2:123456789012:run/*"
          ]
      },
      
  ]
}