An Amazon VPC can span all of the Availability Zones in an AWS Region AWS

An amazon vpc can span all of the availability zones

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An Amazon VPC can span all of the Availability Zones in an AWS Region. AWS Outposts are extensions of Availability Zones, and you can extend an Amazon VPC in an account to span multiple Availability Zones and associated Outpost locations. When you configure your Outpost, you associate a subnet with it to extend your Regional VPC environment to your on-premises facility. Outpost instances and related services appear as part of your Regional VPC, similar to an Availability Zone with associated subnets. For information, see AWS Outposts User Guide . Console To create a new Amazon EMR cluster on AWS Outposts with the AWS Management Console, specify an Amazon EC2 subnet that is associated with your Outpost. 1. Open the Amazon EMR console . 62
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Amazon EMR Management Guide Use EMR File System (EMRFS) 2. Choose Create cluster . 3. Choose Go to advanced options . 4. Under Software Configuration , for Release , choose 5.28.0 or later. 5. Under Hardware Configuration , for EC2 Subnet , select an EC2 subnet with an Outpost ID in this format: op-123456789. 6. Choose instance type or add Amazon EBS storage volumes for uniform instance groups or instance fleets. Limited Amazon EBS volume and instance types are supported for Amazon EMR on AWS Outposts. AWS CLI To create a new Amazon EMR cluster on AWS Outposts with the AWS CLI, specify an EC2 subnet that is associated with your Outpost. The following example creates an Amazon EMR cluster on an Outpost. Replace subnet-22XXXX01 with an EC2 subnet that is associated with your Outpost. aws emr create-cluster \ --name "Outpost cluster" \ --release-label emr-5.28.1 \ --applications Name=Spark \ --ec2-attributes KeyName=myKey SubnetId= subnet-22XXXX01 \ --instance-type m5.xlarge --instance-count 3 --use-default-roles Use EMR File System (EMRFS) The EMR File System (EMRFS) is an implementation of HDFS that all Amazon EMR clusters use for reading and writing regular files from Amazon EMR directly to Amazon S3. EMRFS provides the convenience of storing persistent data in Amazon S3 for use with Hadoop while also providing features like consistent view and data encryption. Consistent view provides consistency checking for list and read-after-write (for new put requests) for objects in Amazon S3. Data encryption allows you to encrypt objects that EMRFS writes to Amazon S3, and enables EMRFS to work with encrypted objects in Amazon S3. If you are using Amazon EMR release version 4.8.0 or later, you can use security configurations to set up encryption for EMRFS objects in Amazon S3, along with other encryption settings. For more information, see Encryption Options (p. 164) . If you use an earlier release version of Amazon EMR, you can manually configure encryption settings. For more information, see Specifying Amazon S3 Encryption Using EMRFS Properties (p. 79) .
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  • Spring '12
  • LauraParker
  • Amazon Web Services, Amazon Elastic Compute Cloud

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