Statement Action Effect Allow Resource Principal AWS arnawsiam 123456789012

Statement action effect allow resource principal aws

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{ "Statement": [ { "Action": "*", "Effect": "Allow", "Resource": "*", "Principal": { "AWS": [ "arn:aws:iam:: 123456789012 :user/ lijuan " ] } }] } Example – VPC Endpoint Policy to Allow Read-Only EMR Operations The following VPC endpoint policy allows only AWS account 123456789012 to perform the specified Amazon EMR actions. The actions specified provide the equivalent of read-only access for Amazon EMR. All other actions on the VPC are denied for the specified account. All other accounts are denied any access. For a list of Amazon EMR actions, see Actions, Resources, and Condition Keys for Amazon EMR . 271
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Amazon EMR Management Guide Connect to Amazon EMR Using an Interface VPC Endpoint { "Statement": [ { "Action": [ "elasticmapreduce:DescribeSecurityConfiguration", "elasticmapreduce:GetBlockPublicAccessConfiguration", "elasticmapreduce:ListBootstrapActions", "elasticmapreduce:ViewEventsFromAllClustersInConsole", "elasticmapreduce:ListSteps", "elasticmapreduce:ListInstanceFleets", "elasticmapreduce:DescribeCluster", "elasticmapreduce:ListInstanceGroups", "elasticmapreduce:DescribeStep", "elasticmapreduce:ListInstances", "elasticmapreduce:ListSecurityConfigurations", "elasticmapreduce:DescribeEditor", "elasticmapreduce:ListClusters", "elasticmapreduce:ListEditors" ], "Effect": "Allow", "Resource": "*", "Principal": { "AWS": [ " 123456789012 " ] } } ] } Example – VPC Endpoint Policy Denying Access to a Specified Cluster The following VPC endpoint policy allows full access for all accounts and principals, but denies any access for AWS account 123456789012 to actions performed on the Amazon EMR cluster with cluster ID j-A1B2CD34EF5G . Other Amazon EMR actions that don't support resource-level permissions for clusters are still allowed. For a list of Amazon EMR actions and their corresponding resource type, see Actions, Resources, and Condition Keys for Amazon EMR . { "Statement": [ { "Action": "*", "Effect": "Allow", "Resource": "*", "Principal": "*" }, { "Action": "*", "Effect": "Deny", "Resource": "arn:aws:elasticmapreduce: us-west-2 : 123456789012 :cluster/ j- A1B2CD34EF5G ", "Principal": { "AWS": [ " 123456789012 " ] } } ] } 272
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Amazon EMR Management Guide View and Monitor a Cluster Manage Clusters After you've launched your cluster, you can monitor and manage it. Amazon EMR provides several tools you can use to connect to and control your cluster. Topics View and Monitor a Cluster (p. 273) Connect to the Cluster (p. 313) Terminate a Cluster (p. 326) Scaling Cluster Resources (p. 328) Cloning a Cluster Using the Console (p. 344) Submit Work to a Cluster (p. 345) Automate Recurring Clusters with AWS Data Pipeline (p. 351) View and Monitor a Cluster Amazon EMR provides several tools you can use to gather information about your cluster. You can access information about the cluster from the console, the CLI or programmatically. The standard Hadoop web interfaces and log files are available on the master node. You can also use monitoring services such as CloudWatch and Ganglia to track the performance of your cluster.
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  • Spring '12
  • LauraParker
  • Amazon Web Services, Amazon Elastic Compute Cloud

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