Amazon Web Services S3 Connector

The Globus AWS S3 storage connector can be used for access and sharing of data on AWS S3. The connector is available as an add-on subscription to organizations with a Globus Standard subscription - please contact us for pricing.

This document describes how to use the AWS S3 Connector connector to configure AWS S3 Storage Gateways and Collections. After these steps are complete, any Globus user you have authorized can register a credential to access AWS S3 buckets that they have access to and, if enabled, can create guest collections for sharing access using those credentials by following the instructions in How To Share Data Using Globus.

This document assumes that you or another administrator has already installed Globus Connect Server v5 on one or more data transfer nodes, and that you have an administrator role on that endpoint.

The installation must be done by a system administrator, and has the following distinct set of steps:

  • Create a storage gateway on the endpoint configured to use the AWS S3 Connector.

  • Create a mapped collection using the AWS S3 Storage Gateway to provide access to AWS S3 Storage Gateway data.

Please contact us at support@globus.org if you have questions or need help with installation and use of the AWS S3 Connector.

S3 Connector Virtual Filesystem

The S3 connector provides a distributed object store, where each data object is accessed based on a bucket name and an object name.

The S3 connector attempts to make this look like a regular filesystem, by treating the bucket name as the name of a directory in the root of the storage gateway’s file system. For example, if a user has access to buckets bucket1 and bucket2, then those buckets would show up as directories when listing /.

By default, the buckets listed in the root directory are generated by listing the buckets owned by the registered credentials. However, when the storage gateway --bucket policy option is used, only those buckets are shown. If bucket listing is not possible, and the storage gateway --bucket policy is not set, users may attempt to access any bucket path directly.

The S3 connector treats the / character as a delimiter in the S3 API so that it can present something that looks like subdirectories. For example, the object object1 in bucket1 would appear as /bucket1/object1 to the S3 connector, and the object object2/object3 in bucket2 would appear as a file called object3 in the directory /bucket2/object2.

Authenticated and Anonymous Access

Each S3 Storage Gateway can be configured to perform either authenticated or unauthenticated access to S3 data. When creating an S3 Storage Gateway, you must choose which type of access to require.

authenticated

Globus users must register an S3 Credential with Globus Connect Server in order to access data on its collections. The credential must be associated with a policy that allows the IAM permissions used by the AWS S3 Connector.

unauthenticated

Globus users can only access public AWS Buckets.

AWS S3 Configuration Encryption

All configuration information, including AWS S3 secrets and user credential information, is encrypted with a secret key on the node servicing the request before storing it locally and uploading it to GCS cloud services for distribution to other nodes in the endpoint. The encryption key is only available locally to the node and is secured such that only the node admin has access.

Storage Gateway

An S3 Storage Gateway is created with the command globus-connect-server storage-gateway create s3, and can be updated with the command globus-connect-server storage-gateway update s3.

Before looking into the policy options specific to the AWS S3 Connector, please familiarize yourself with the Globus Connect Server v5 Data Access Guide which describes the steps to create and update a storage gateway, using the POSIX connector as an example. The commands to create and update a storage gateway for the AWS S3 Connector are similar.

S3 Storage Gateway Policies

The --s3-user-credential, --s3-requester-pays, --s3-unauthenticated, --bucket, and --s3-endpoint command-line options control access to an Amazon S3 or compatible resource.

Endpoint

The --s3-endpoint command-line option is used by Globus Connect Server to contact the S3 API to access data on this storage gateway. This may be an Amazon S3 URL, a regional Amazon S3 URL, or the URL endpoint of another compatible storage system.

Example 1. Selecting an S3 API Endpoint

For our example, we’ll use Amazon S3’s standard US-East-1 regional S3 Endpoint which is located at https://s3.amazonaws.com

--s3-endpoint https://s3.amazonaws.com
IPv6 Configuration

This connector supports transferring files over IPv6 networks. This requires the s3_endpoint value to be one of the Amazon dualstack endpoints. The list of regions and their dualstack endpoints is available from the S3 documentation.

Access Mode

The --s3-user-credential and --s3-unauthenticated command-line options are mutually exclusive.

If the --s3-user-credential command-line option is enabled, then each user accessing collections on this storage gateway must register an S3 access key id and secret key with the storage gateway.

The --admin-managed-credential command-line option can also be set to allow admins the ability to register an S3 access key id and secret key for users.

If the --s3-unauthenticated command-line option is enabled, then all accesses to collections on this storage gateway will be done using unauthenticated access. In this case, the root of the S3 Connector Virtual Filesystem will only be able to list buckets that are explicitly made visible by using the --bucket command-line option.

Example 2. Choosing an Access Mode

For our example, we’ll create a Storage Gateway that provides authenticated access to data buckets.

--s3-user-credential

Requester Pays (new in 5.4.59)

If the --s3-requester-pays command-line option is enabled, then requests made to S3 will include the request-payer parameter which allows the costs associated with those requests to be charged to the AWS account making the request. See the AWS Requester Pays documentation for more information.

The --s3-requester-pays command-line option requires the --s3-user-credential command-line option.

If the --s3-requester-pays command-line option is enabled, S3 operations from mapped and guest collection accesses will be charged to the AWS account associated with the registered user credential. Globus users must acknowledge this behavior when creating the user credential. This can be done when registering credentials via the web application, or using the globus-connect-server user-credentials s3-create command with the --s3-requester-pays option.

Example 3. Choosing Requester Pays

For our example, we’ll create a Storage Gateway that allows access to Requester Pays buckets. Users will need to acknowledge this when registering credentials.

--s3-requester-pays

Bucket Restrictions

The --bucket command-line option argument is the name of a bucket which is allowed access by this storage gateway.

Example 4. Restricting Access to Buckets

For our example, we’ll create a Storage Gateway that restricts access to two buckets owned by our organization: research-data-bucket-1, and research-data-bucket-2. Users will be restricted to only those buckets when using collections created on this storage gateway, and only if their credential has permissions to do so.

--bucket research-data-bucket-1 --bucket research-data-bucket-2

If no buckets are configured, then any buckets accessible using the user’s registered S3 key_id and secret_key may be accessed by collections on this storage gateway. If any are configured, then they act as restrictions to which buckets are visible and accessible on collections on this storage gateway.

Creating the Storage Gateway

Now that we have decided on all our policies, we’ll use the command to create the storage gateway.

% globus-connect-server storage-gateway create s3 \
    "S3 Storage Gateway" \
    --domain example.org \
    --s3-endpoint https://s3.amazonaws.com \
    --s3-user-credential \
    --bucket research-data-bucket-1 --bucket research-data-bucket-2

Storage Gateway Created: 7187a9a0-68e4-48ea-b3b9-7fd06630f8ab

This was successful and outputs the ID of the new storage gateway ( 7187a9a0-68e4-48ea-b3b9-7fd06630f8ab in this case) for our reference. Note that this will always be a unique value if you run the command. If you forget the id of a storage gateway, you can always use the command globus-connect-server storage-gateway list to get a list of the storage gateways on the endpoint.

You can also add other policies to configure additional identity mapping and path restriction policies as described in the Globus Connect Server v5 Data Access Guide.

Note that this creates the storage gateway, but does not yet make it accessible via Globus and HTTPS. You’ll need to follow the steps in the next section.

Collection

An AWS S3 Collection is created with the command globus-connect-server collection create, and can be updated with the command globus-connect-server collection update.

As the AWS S3 Connector does not introduce any policies beyond those used by the base collection type, you can follow the sequence in the Collections Section of the Globus Connect Server v5 Data Access Guide. Recall however, that the paths are interpreted as described above in S3 Connector Virtual Filesystem.

User Credential

As mentioned above, when the storage gateway is configured to provide authenticated access to AWS S3, users must register their own S3 keys.

Registered AWS credentials must have the following IAM permissions when accessing S3:

Required S3 Permissions

In order for the AWS S3 Connector to properly access S3 resources on a user’s behalf, credentials that have been granted the following S3 permissions are required.

s3:ListAllMyBuckets is required on the * resource to automatically populate the root listing. This is not required when the storage-gateway --bucket option is used, or when a collection base path includes the bucket.

s3:ListBucket and s3:ListBucketMultipartUploads on the buckets: resource arn:aws:s3:::[bucket-name].

s3:GetObject, s3:PutObject, s3:DeleteObject, s3:ListMultipartUploadParts and s3:AbortMultipartUpload on the objects: resource arn:aws:s3:::[bucket-name]/*.

Example JSON policy:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllBuckets",
      "Effect": "Allow",
      "Action": [
        "s3:ListAllMyBuckets"
      ],
      "Resource": "*"
    },
    {
      "Sid": "Bucket",
      "Effect": "Allow",
      "Action": [
        "s3:ListBucket",
        "s3:ListBucketMultipartUploads"
      ],
      "Resource": "arn:aws:s3:::example-bucket"
    },
    {
      "Sid": "Objects",
      "Effect": "Allow",
      "Action": [
        "s3:GetObject",
        "s3:PutObject",
        "s3:DeleteObject",
        "s3:ListMultipartUploadParts",
        "s3:AbortMultipartUpload"
      ],
      "Resource": "arn:aws:s3:::example-bucket/*"
    }
  ]
}

Appendix A: Document Types for the AWS S3 Connector

S3StoragePolicies Document

Connector-specific storage gateway policies for the S3 connector

Version 1.1.0 adds support for the s3_requester_pays property

One of the following schemas:

​

{
  "DATA_TYPE": "s3_storage_policies#1.0.0",
  "s3_buckets": [
    "string"
  ],
  "s3_endpoint": "https://s3.amazonaws.com",
  "s3_user_credential_required": true
}

S3UserCredentialPolicies Document

Connector-specific user credential policies for the S3 connector

Version 1.1.0 adds support for the s3_requester_pays property.

One of the following schemas:

​

{
  "DATA_TYPE": "s3_user_credential_policies#1.0.0",
  "s3_key_id": "string",
  "s3_secret_key": "string"
}