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mlschool-cfn.yaml
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AWSTemplateFormatVersion: '2010-09-09'
Description: 'Machine Learning School - User account and custom policies.'
Parameters:
UserName:
Type: String
Description: 'User name for the IAM User'
Resources:
User:
Type: 'AWS::IAM::User'
Properties:
UserName: !Ref UserName
UserCredentials:
Type: AWS::IAM::AccessKey
Properties:
Status: Active
UserName: !Ref User
UserCredentialsSecret:
Type: AWS::SecretsManager::Secret
Properties:
Name: '/credentials/mlschool'
SecretString: !GetAtt UserCredentials.SecretAccessKey
Role:
Type: AWS::IAM::Role
Properties:
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
Effect: Allow
Action: sts:AssumeRole
Principal:
AWS: !Sub 'arn:aws:iam::${AWS::AccountId}:root'
Service:
- sagemaker.amazonaws.com
Path: /
Policies:
- PolicyName: "mlschool-custom-policy"
PolicyDocument:
Version: "2012-10-17"
Statement:
- Effect: "Allow"
Sid: "CloudFormation"
Action:
- "cloudformation:CreateStack"
- "cloudformation:DeleteStack"
- "cloudformation:UpdateStack"
- "cloudformation:DescribeStacks"
- "cloudformation:DescribeStackEvents"
- "cloudformation:DescribeStackResource"
- "cloudformation:DescribeStackResources"
Resource:
- "*"
- Effect: "Allow"
Sid: "Batch"
Action:
- "batch:TerminateJob"
- "batch:DescribeJobs"
- "batch:DescribeJobDefinitions"
- "batch:DescribeJobQueues"
- "batch:RegisterJobDefinition"
- "batch:SubmitJob"
- "batch:DescribeComputeEnvironments"
Resource:
- "*"
- Effect: "Allow"
Sid: "Events"
Action:
- "events:PutTargets"
- "events:DescribeRule"
- "events:DisableRule"
- "events:PutRule"
Resource:
- "*"
- Effect: "Allow"
Sid: "IAM"
Action:
- "iam:PassRole"
- "iam:GetRole"
Resource:
- "*"
- Effect: "Allow"
Sid: "EC2"
Action:
- "ec2:CreateKeyPair"
- "ec2:DeleteKeyPair"
- "ec2:DescribeKeyPairs"
- "ec2:CreateSecurityGroup"
- "ec2:DeleteSecurityGroup"
- "ec2:DescribeSecurityGroups"
- "ec2:AuthorizeSecurityGroupIngress"
- "ec2:RevokeSecurityGroupIngress"
- "ec2:RunInstances"
- "ec2:TerminateInstances"
- "ec2:DescribeInstances"
- "ec2:CreateTags"
- "ec2:DescribeImages"
Resource:
- "*"
- Effect: "Allow"
Sid: "ECR"
Action:
- "ecr:DescribeRepositories"
- "ecr:CreateRepository"
- "ecr:GetAuthorizationToken"
- "ecr:InitiateLayerUpload"
- "ecr:UploadLayerPart"
- "ecr:CompleteLayerUpload"
- "ecr:BatchCheckLayerAvailability"
- "ecr:GetDownloadUrlForLayer"
- "ecr:BatchGetImage"
- "ecr:DeleteRepository"
- "ecr:PutImage"
Resource:
- "*"
- Effect: "Allow"
Sid: "Sagemaker"
Action:
- "sagemaker:ListEndpoints"
- "sagemaker:DescribeEndpoint"
- "sagemaker:CreateEndpoint"
- "sagemaker:UpdateEndpoint"
- "sagemaker:DescribeEndpointConfig"
- "sagemaker:CreateEndpointConfig"
- "sagemaker:DescribeModel"
- "sagemaker:CreateModel"
- "sagemaker:DeleteEndpoint"
- "sagemaker:ListTags"
- "sagemaker:AddTags"
- "sagemaker:InvokeEndpoint"
Resource:
- "*"
- Effect: "Allow"
Sid: "SSM"
Action:
- "ssm:GetParameter"
- "ssm:GetParameters"
- "ssm:PutParameter"
- "ssm:DeleteParameter"
Resource:
- !Sub "arn:aws:ssm:${AWS::Region}:${AWS::AccountId}:parameter/ec2/keypair/*"
- Effect: "Allow"
Sid: "States"
Action:
- "states:ListStateMachines"
- "states:DescribeStateMachine"
- "states:UpdateStateMachine"
- "states:StartExecution"
- "states:CreateStateMachine"
- "states:ListExecutions"
- "states:StopExecution"
Resource:
- !Sub 'arn:aws:states:${AWS::Region}:${AWS::AccountId}:stateMachine:*'
- Effect: "Allow"
Sid: "S3"
Action:
- "s3:CreateBucket"
- "s3:ListBucket"
- "s3:ListAllMyBuckets"
- "s3:GetBucketLocation"
- "s3:PutObject"
- "s3:PutObjectTagging"
- "s3:GetObject"
- "s3:DeleteObject"
Resource:
- !Sub "arn:aws:s3:::*"
Bucket:
Type: 'AWS::S3::Bucket'
Properties:
BucketName: !Sub 'mlschool-${AWS::AccountId}'
UserPolicy:
Type: 'AWS::IAM::Policy'
Properties:
PolicyName: AssumeRolePolicy
PolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Action: 'sts:AssumeRole'
Resource: !GetAtt 'Role.Arn'
Users:
- !Ref User
Outputs:
User:
Description: The user account we'll use to configure the AWS CLI and authenticate with AWS.
Value: !Ref User
AccessKeyId:
Description: >
The Access Key ID associated with the user. To get access to the Secret Access Key,
navigate to the Secrets Manager service in the AWS console and retrieve the secret value
related to the `/credentials/mlschool` key.
Value: !Ref UserCredentials
Region:
Description: The AWS Region where the program resources will be provisioned.
Value: !Ref 'AWS::Region'
Role:
Description: 'The Role ARN associated with the user.'
Value: !GetAtt 'Role.Arn'
Bucket:
Description: The name of the S3 bucket
Value: !Ref Bucket