Amazon

You can create the following types of Amazon connections:

Amazon EMR Cluster Manager Connection

Available when using an authoring Data Collector version 3.19.0 or later.

To create an Amazon EMR Cluster Manager connection, the EMR with Hadoop stage library, streamsets-datacollector-emr_hadoop_<version>-lib, must be installed on the selected authoring Data Collector.

For a description of the Amazon EMR Cluster Manager connection properties, see Amazon Connection Properties.

After you create an Amazon EMR Cluster Manager connection, you can use the connection in the following location:


Engine	Location
Transformer 3.16.0 or later	Pipeline configured to run on an Amazon EMR cluster

Amazon EMR Serverless Connection

Available when using an authoring Data Collector version 5.3.0 or later.

To create an Amazon EMR Serverless connection, the EMR with Hadoop stage library, streamsets-datacollector-emr_hadoop_<version>-lib, must be installed on the selected authoring Data Collector.

For a description of the Amazon EMR Serverless connection properties, see Amazon Connection Properties.

After you create an Amazon EMR Serverless connection, you can use the connection in the following location:


Engine	Location
Transformer 5.3.0 or later	Pipeline configured to run on an Amazon EMR Serverless application

Amazon Kinesis Firehose Connection

Available when using an authoring Data Collector version 3.19.0 or later.

To create an Amazon Kinesis Firehose connection, the Amazon Kinesis stage library, streamsets-datacollector-kinesis-lib, must be installed on the selected authoring Data Collector.

For a description of the Amazon Kinesis Firehose connection properties, see Amazon Connection Properties.

After you create an Amazon Kinesis Firehose connection, you can use the connection in the following stage:


Engine	Stage
Data Collector 3.19.0 or later	Kinesis Firehose destination

Amazon Kinesis Streams Connection

Available when using an authoring Data Collector version 3.19.0 or later.

To create an Amazon Kinesis Streams connection, the Amazon Kinesis stage library, streamsets-datacollector-kinesis-lib, must be installed on the selected authoring Data Collector.

For a description of the Amazon Kinesis Streams connection properties, see Amazon Connection Properties.

After you create an Amazon Kinesis Streams connection, you can use the connection in the following stages and locations:


Engine	Stages and Locations
Data Collector 3.19.0 or later	Kinesis Consumer origin Kinesis Producer destination Write to Kinesis error record handling configured for a pipeline Write to Kinesis statistics aggregator configured for a pipeline

Amazon Redshift Connection

Available when using an authoring Data Collector version 4.1.0 or later.

To create an Amazon Redshift connection, the Amazon Web Services stage library, streamsets-datacollector-aws-lib, must be installed on the selected authoring Data Collector.

For a description of the Amazon Redshift connection properties, see Amazon Redshift Properties.

After you create an Amazon Redshift connection, you can use the connection in the following stages and locations:


Engine	Stages and Locations
Transformer 4.1.0 or later	Amazon Redshift origin Amazon Redshift destination

Amazon S3 Connection

Available when using an authoring Data Collector version 3.19.0 or later.

To create an Amazon S3 connection, the Amazon Web Services stage library, streamsets-datacollector-aws-lib, must be installed on the selected authoring Data Collector.

For a description of the Amazon S3 connection properties, see Amazon Connection Properties.

After you create an Amazon S3 connection, you can use the connection in the following stages and locations:


Engine	Stages and Locations
Data Collector 3.19.0 or later	Amazon S3 origin Amazon S3 destination Amazon S3 executor Write to Amazon S3 error record handling configured for a pipeline
Transformer 3.16.0 or later	Amazon S3 origin Amazon S3 destination

Amazon SQS Connection

Available when using an authoring Data Collector version 3.19.0 or later.

To create an Amazon SQS connection, the Amazon Web Services stage library, streamsets-datacollector-aws-lib, must be installed on the selected authoring Data Collector.

For a description of the Amazon SQS connection properties, see Amazon Connection Properties.

After you create an Amazon SQS connection, you can use the connection in the following stage:


Engine	Stage
Data Collector 3.19.0 or later	Amazon SQS Consumer origin

Amazon Security

You can configure Amazon connections to use one of the following authentication methods to connect securely to Amazon Web Services (AWS):

Instance profile: When the execution engine - Data Collector or Transformer - runs on an Amazon EC2 instance that has an associated instance profile, the engine uses the instance profile credentials to automatically authenticate with AWS.; The IAM policies attached to the instance profile must have permissions to read from or write to Amazon S3 and to the Redshift cluster, depending on how you use the connection.; For more information about associating an instance profile with an EC2 instance, see the Amazon EC2 documentation.
AWS access keys: When the execution engine does not run on an Amazon EC2 instance or when the EC2 instance doesn’t have an instance profile, you can authenticate using an AWS access key pair. When using an AWS access key pair, you specify the access key ID and secret access key to use.; The AWS access key pair must have permissions to perform all required tasks. For example, for Amazon Redshift connections, the AWS access key pair must have permissions to read from or write to Amazon S3 and to the Redshift cluster, depending on how you use the connection.; When using AWS access keys with Amazon Redshift connections, you must also install a JDBC driver. For more information, see Installing a JDBC Driver

Note: When configuring an Amazon EMR Cluster Manager, Amazon EMR Serverless, Amazon S3, or Amazon SQS connection, you can also connect anonymously using no authentication.

Assume Another Role

When using instance profile or AWS access keys authentication, you can configure an Amazon connection to assume another IAM role.

For example, if the instance profile or the IAM user permissions do not grant access to write to Amazon S3 resources, you can configure an Amazon S3 connection used in an Amazon S3 destination to assume another role that does grant write access.

Note: Assuming another role is not available for Amazon Redshift connections. For other connection types, Transformer version 3.18.x or later supports assuming another role when the pipeline meets the stage library and cluster type requirements. Data Collector version 3.19.x supports assuming another role only with instance profile authentication.

When an Amazon connection assumes a role, it temporarily gives up the instance profile or IAM user permissions and uses the permissions assigned to the assumed role. To assume a role, the connection calls the AWS STS AssumeRole API operation and passes the role to use. The operation creates a new session with the temporary credentials, as long as the following conditions are true:

The IAM policy attached to the current principal - the IAM role or user - grants permission to assume the specified role.
The IAM trust policy attached to the role to be assumed permits the current principal to assume it.

You can configure an Amazon connection to assume a role in the following ways:

Assume a role with no restrictions

When configured to assume a role with no restrictions, any StreamSets user account that starts the pipeline can assume the role specified in the Amazon connection, as long as the IAM policies attached to the current principal and to the role to be assumed allow it.

For example, any Control Hub user who starts the job for the pipeline can assume the finance role when the IAM trust policy attached to the finance role allows the role to be assumed by the IAM role or user identified by the selected authentication method.

Assume a role using session tags to restrict role access

For increased security, you can configure a connection to assume a role and set session tags to restrict the user accounts allowed to assume the role. When configured to set session tags, the connection passes the following session tag to the AWS STS AssumeRole API operation:

streamsets/principal=<user>

Where <user> is the name of the currently logged in Data Collector or Transformer user that starts the pipeline or the Control Hub user that starts the job for the pipeline.

AWS IAM verifies that the user account set in the session tag can assume the specified role. The IAM trust policy attached to the role to be assumed must allow the current principal permission to assume the role and must have constraints using IAM condition keys to limit the AssumeRole action based on the requested session tags.

For example, when the Control Hub user Joe starts the job for the pipeline, he can assume the finance role when the IAM trust policy attached to the finance role allows the user joe to assume the role. The Control Hub user Emily cannot assume the finance role because the trust policy attached to the finance role does not allow the user emily to assume the role.

To configure an Amazon connection to assume a role, you first must create the trust policy in AWS that allows the role to be assumed. Then, you configure the required connection properties in Control Hub.

Create the Trust Policy

In AWS, create and attach a trust policy to the role to be assumed. The policy must allow other principals - IAM roles or users - to assume the role.

Important: You must also attach a policy to the principal that grants permission to the principal to assume another role. AWS IAM provides several methods of granting a principal access to assume another role. For details, see the AWS IAM documentation.

The trust policy that you create for the role to be assumed depends on whether you want to allow connections to assume the role with or without restrictions:

Trust policy to assume the role with no restrictions

Create and attach a trust policy to the role to be assumed that allows another IAM role or user to assume the role.

For example, if using instance profile authentication, you might create the following policy where:

<account_id> is the ID of your AWS account.
<role_name> is the name of the role permitted to assume this role. Enter the name of the role included in the instance profile associated with the Amazon EC2 instance where the execution engine - Data Collector or Transformer - runs.

{
 "Version": "2012-10-17",
 "Statement": [
   {
     "Sid": "",
     "Effect": "Allow",
     "Principal": {
       "AWS": "arn:aws:iam::<account_id>:role/<role_name>"
     },
     "Action": [
       "sts:AssumeRole"
     ]
   }
 ]
}

If using AWS access keys authentication, create a similar trust policy. However, for the principal, specify the ARN of the IAM user permitted to assume this role. Enter the name of the IAM user that owns the access keys used to authenticate with AWS. For example:

...
"Principal": {
       "AWS": "arn:aws:iam::<account_id>:user/<user_name>"
},
...

Trust policy to assume a role using session tags to restrict role access

Create and attach a trust policy to the role to be assumed that allows the IAM role or user to assume the role, uses session tags, and restricts the session tag values to specific StreamSets user accounts.

For example, if using instance profile authentication, you might create the following policy where:

<account_id> is the ID of your AWS account.
<role_name> is the name of the role permitted to assume this role. Enter the name of the role included in the instance profile associated with the Amazon EC2 instance where the execution engine - Data Collector or Transformer - runs.
<user1> and <user2> are Data Collector, Transformer, or Control Hub user accounts allowed to assume this role. To specify a Control Hub user account, use the required naming convention: <user ID>@<organization ID>. For example, joe@MyCompany.

{
 "Version": "2012-10-17",
 "Statement": [
   {
     "Sid": "",
     "Effect": "Allow",
     "Principal": {
       "AWS": "arn:aws:iam::<account_id>:role/<role_name>"
     },
     "Action": [
       "sts:AssumeRole",
       "sts:TagSession"
     ],
     "Condition": {
       "StringEquals": {
         "aws:RequestTag/streamsets/principal": ["<user1>", "<user2>"]
       },
        "Null": {
          "aws:RequestTag/streamsets/principal": "false"
        }
     }
   }
 ]
}

...
"Principal": {
       "AWS": "arn:aws:iam::<account_id>:user/<user_name>"
},
...

For more information about creating an IAM trust policy, see the AWS IAM documentation.

Configure Connections to Assume a Role

After you create and attach a trust policy to the role to be assumed, you can configure Amazon connections to assume the role.

On the primary tab of the Amazon connection, select AWS Keys or Instance Profile for the Authentication Method property.

Note: Assuming another role is not available for Amazon Redshift connections. For other connection types, Transformer version 3.18.x or later supports assuming another role when the pipeline meets the stage library and cluster type requirements. Data Collector version 3.19.x supports assuming another role only with instance profile authentication.
Select Assume Role.

Configure the following properties:


Assume Role Property	Description
Role ARN	Amazon resource name (ARN) of the role to assume, entered in the following format: `arn:aws:iam::<account_id>:role/<role_name>` Where `<account_id>` is the ID of your AWS account and `<role_name>` is the name of the role to assume. You must create and attach an IAM trust policy to this role that allows the role to be assumed.
Role Session Name	Optional name for the session created by assuming a role. Overrides the default unique identifier for the session.
Session Timeout	Maximum number of seconds for each session created by assuming a role. The session is refreshed if the pipeline continues to run for longer than this amount of time. Set to a value between 3,600 seconds and 43,200 seconds.
Set Session Tags	Sets a session tag to record the name of the currently logged in Data Collector or Transformer user that starts the pipeline or the Control Hub user that starts the job for the pipeline. AWS IAM verifies that the user account set in the session tag can assume the specified role. Select only when the IAM trust policy attached to the role to be assumed uses session tags and restricts the session tag values to specific user accounts. When cleared, the connection does not set a session tag.

Amazon Connection Properties

You configure the following types of properties for Amazon connections:

Common properties - Used by all Amazon connections except Amazon Redshift.
Advanced properties - Used by Amazon Kinesis Firehose, Kinesis Streams, S3, and SQS connections.
Amazon Redshift properties - Used by Amazon Redshift connections.
EMR cluster manager properties - Used by Amazon EMR Cluster Manager connections.
EMR Serverless properties - Used by Amazon EMR Serverless connections.

Common Properties

Common properties are used by all Amazon connections, except the Amazon Redshift connection.

When creating all other Amazon connections, configure the following properties on the primary tab of the connection:


Common Property	Description
Authentication Method	Authentication method used to connect to Amazon Web Services (AWS): AWS Keys - Authenticates using an AWS access key pair. Instance Profile - Authenticates using an instance profile associated with the Data Collector or Transformer EC2 instance. None - Connects anonymously using no authentication. Available only for Amazon EMR Cluster Manager, Amazon EMR Serverless, Amazon S3, or Amazon SQS connections.
Access Key ID	AWS access key ID. Required when using AWS keys to authenticate with AWS.
Secret Access Key	AWS secret access key. Required when using AWS keys to authenticate with AWS. Tip: To secure sensitive information, you can use credential stores or runtime resources.
Assume Role	Temporarily assumes another role to authenticate with AWS. Note: Assuming another role is not available for Amazon Redshift connections. For other connection types, Transformer version 3.18.x or later supports assuming another role when the pipeline meets the stage library and cluster type requirements. Data Collector version 3.19.x supports assuming another role only with instance profile authentication.
Role ARN	Amazon resource name (ARN) of the role to assume, entered in the following format: `arn:aws:iam::<account_id>:role/<role_name>` Where `<account_id>` is the ID of your AWS account and `<role_name>` is the name of the role to assume. You must create and attach an IAM trust policy to this role that allows the role to be assumed. Available when assuming another role.
Role Session Name	Optional name for the session created by assuming a role. Overrides the default unique identifier for the session. Available when assuming another role.
Session Timeout	Maximum number of seconds for each session created by assuming a role. The session is refreshed if the pipeline continues to run for longer than this amount of time. Set to a value between 3,600 seconds and 43,200 seconds. Available when assuming another role.
Set Session Tags	Sets a session tag to record the name of the currently logged in Data Collector or Transformer user that starts the pipeline or the Control Hub user that starts the job for the pipeline. AWS IAM verifies that the user account set in the session tag can assume the specified role. Select only when the IAM trust policy attached to the role to be assumed uses session tags and restricts the session tag values to specific user accounts. When cleared, the connection does not set a session tag. Available when assuming another role.
Use Specific Region	Specify the AWS region or endpoint to connect to. When cleared, the connection uses the Amazon S3 default global endpoint, `s3.amazonaws.com`. Available only for Amazon S3 connections.
Region	AWS region to connect to. Select one of the available regions. To specify an endpoint to connect to, select Other.
Endpoint	Endpoint to connect to when you select Other for the region. Enter the endpoint name.
Use Custom Endpoint	Specify a specific signing region when connecting to a custom endpoint. When cleared, the connection uses the region specified in the endpoint. Available only for Amazon S3 connections, when using Data Collector 4.4.0 or later.
Signing Region	AWS region used by the custom endpoint.

Advanced Properties

You can optionally configure properties on the Advanced tab for the following connection types:

Amazon Kinesis Firehose
Amazon Kinesis Streams
Amazon S3
Amazon SQS

The defaults for the following Advanced properties should work in most cases:


Advanced Property	Description
Connection Timeout	Seconds to wait for a response before closing the connection.
Socket Timeout	Seconds to wait for a response to a query.
Retry Count	Maximum number of times to retry requests.
Use Proxy	Specifies whether to use a proxy to connect.
Proxy Host	Proxy host.
Proxy Port	Proxy port.
Proxy User	User name for proxy credentials.
Proxy Password	Password for proxy credentials. Tip: To secure sensitive information, you can use credential stores or runtime resources.
Proxy Domain	Optional domain name for the proxy server.
Proxy Workstation	Optional workstation for the proxy server.

Amazon Redshift Properties

When creating an Amazon Redshift connection, configure the following property on the Redshift tab:


Redshift Property	Description
Redshift Endpoint	Amazon Redshift endpoint to use.

On the Credentials tab, configure the following properties:


Credential Property	Description
Security	Authentication method used to connect to Amazon Web Services (AWS): AWS Keys - Authenticates using an AWS access key pair. When using AWS access keys, the AWS access key pair must have permissions to read from or write to Amazon S3 and to the Redshift cluster, depending on how you use the connection. You must also install a JDBC driver. For more information, see Installing a JDBC Driver Instance Profile - Authenticates using an instance profile associated with the Data Collector or Transformer EC2 instance. When using an instance profile, the IAM policies attached to the instance profile must have permissions to read from or write to Amazon S3 and to the Redshift cluster, depending on how you use the connection.
Access Key ID	AWS access key ID. Required when using AWS keys to authenticate with AWS.
Secret Access Key	AWS secret access key. Required when using AWS keys to authenticate with AWS. Tip: To secure sensitive information, you can use credential stores or runtime resources.
DB User	Database user that Transformer impersonates when writing to the database. The user must have write permission for the database table.
DB Password	Password for the database user account. Available when using Instance Profile security.
IAM Role for Unload to S3	ARN of the IAM role assigned to the Redshift cluster. Transformer uses the role to write to the specified S3 staging location. The role must have write permission for the S3 staging location. Available when using Instance Profile security.
Auto-Create DB User	Enables creating a database user to write data to Redshift. Available when using AWS Keys security.
DB Groups	Comma-delimited list of existing database groups for the database user to join for the duration of the pipeline run. The specified groups must have write permission for the S3 staging location. Available when using AWS Keys security.

EMR Cluster Manager Properties

When creating an Amazon EMR Cluster Manager connection, first configure the appropriate common properties. Then, continue configuring the following EMR cluster manager properties:


EMR Property	Description
S3 Staging URI	Amazon S3 bucket and path used to store the Transformer resources and files needed to run the pipeline. The specified bucket and path must exist before you run the pipeline. Use the following format: `s3://<bucket>/<path>`
Provision a New Cluster	Provisions a new cluster to run the pipeline. Tip: Provisioning a cluster that terminates after the pipeline stops is a cost-effective method of running a Transformer pipeline. For more information about running a pipeline on a provisioned cluster, see Provisioned Cluster.
Cluster by Name and Tags	Enables specifying a cluster by cluster name and tags instead of by cluster ID. Available when not provisioning a cluster and when using an authoring Data Collector version 5.4.0 or later. For more information, see Specifying a Cluster.
Cluster Name	Name of the existing cluster to run the pipeline. This property is case-sensitive. Available when specifying a cluster by name and tags.
Cluster Tags	Tag name and values to use to differentiate between multiple clusters with the specified cluster name. Click Add to define a tag. Click Add Another to define additional tags. Available when specifying a cluster by name and tags.
Cluster ID	ID of the existing cluster to run the pipeline. For more information, see Specifying a Cluster.
EMR Version	EMR cluster version to provision. Transformer supports version 5.20.0 or later 5.x versions. Available only for provisioned clusters.
Cluster Name Prefix	Prefix for the name of the provisioned EMR cluster. Available only for provisioned clusters.
Terminate Cluster	Terminates the provisioned cluster when the pipeline stops. When cleared, the cluster remains active after the pipeline stops. Available only for provisioned clusters.
Logging Enabled	Enables copying log data to a specified Amazon S3 location. Use to preserve log data that would otherwise become unavailable when the provisioned cluster terminates. Available only for provisioned clusters.
S3 Log URI	Location in Amazon S3 to store pipeline log data. Location must be unique for each pipeline. Use the following format: `s3://<bucket>/<path>` The bucket must exist before you start the pipeline. Available when you enable logging for a provisioned cluster.
Service Role	EMR role used by the Transformer EC2 instance to provision resources and perform other service-level tasks. Default is `EMR_DefaultRole`. For more information about configuring roles for Amazon EMR, see the Amazon EMR documentation. Available only for provisioned clusters.
Job Flow Role	EMR role for the EC2 instances within the cluster used to perform pipeline tasks. Default is `EMR_EC2_DefaultRole`. For more information about configuring roles for Amazon EMR, see the Amazon EMR documentation. Available only for provisioned clusters.
SSH EC2 Key ID	SSH key used to access the EMR cluster nodes. Transformer does not use or require an SSH key to access the nodes. Enter an SSH key ID if you plan to connect to the nodes using SSH for monitoring or troubleshooting purposes. For more information about using SSH keys to access EMR cluster nodes, see the Amazon EMR documentation. Available only for provisioned clusters.
Visible to All Users	Enables all AWS Identity and Access Management (IAM) users under your account to access the provisioned cluster. Available only for provisioned clusters.
EC2 Subnet ID	EC2 subnet identifier to launch the provisioned cluster in. Available only for provisioned clusters.
Master Security Group	ID of the security group on the master node in the cluster. Note: Verify that the master security group allows Transformer to access the master node in the EMR cluster. For information on configuring security groups for EMR clusters, see the Amazon EMR documentation. Available only for provisioned clusters.
Slave Security Group	Security group ID for the slave nodes in the cluster. Available only for provisioned clusters.
Instance Count	Number of EC2 instances to use. Each instance corresponds to a slave node in the EMR cluster. Minimum is 2. Using an additional instance for each partition can improve pipeline performance. Available only for provisioned clusters.
Master Instance Type	EC2 instance type for the master node in the EMR cluster. If an instance type does not display in the list, select Custom and then enter the instance type. Available only for provisioned clusters.
Master Instance Type (Custom)	Custom EC2 instance type for the master node. Available when you select Custom for the Master Instance Type property.
Slave Instance Type	EC2 instance type for the slave nodes in the EMR cluster. If an instance type does not display in the list, select Custom and then enter the instance type. Available only for provisioned clusters.
Slave Instance Type (Custom)	Custom EC2 instance type for the master node. Available when you select Custom for the Slave Instance Type property.
AWS Cluster Tags	AWS tags assigned to each EMR cluster provisioned. For each tag, specify a tag name or key and a tag value. Available only for provisioned clusters.
Max Retries	Maximum number of times to retry a failed request or throttling error.
Retry Base Delay	Base delay in milliseconds for retrying after a failed request. The specified number is doubled for each subsequent retry, up to the value specified for the Max Backoff property.
Throttling Retry Base Delay	Base delay in milliseconds for retrying after a throttling error. The specified number is doubled for each subsequent retry, up to the value specified for the Max Backoff property.
Max Backoff	The maximum number of milliseconds to wait between retries. Limits the delay between retries after failed requests and throttling errors.

EMR Serverless Properties

When creating an Amazon EMR Serverless connection, first configure the appropriate common properties. Then, continue configuring the following EMR Serverless properties:


EMR Serverless Property	Description
S3 Staging URI	Amazon S3 bucket and path used to store the Transformer resources and files needed to run the pipeline. The specified bucket and path must exist before you run the pipeline. Use the following format: `s3://<bucket>/<path>`
Create a New Application	Creates a new EMR Serverless application to run the pipeline.
Application by Name and Tags	Enables specifying an application by application name and tags instead of by application ID. Available when not creating a new application and when using an authoring Data Collector version 5.4.0 or later. For more information, see Specifying an Application.
EMR Application Name	Name of the existing application to run the pipeline. This property is case-sensitive. Available when specifying an application by name and tags.
EMR Application Tags	Tag name and values to use to differentiate between multiple applications with the specified application name. Click Add to define a tag. Click Add Another to define additional tags. Available when specifying an application by name and tags.
Application ID	ID of an existing EMR Serverless application to run the pipeline. Available when not creating a new application and when not specifying an application by name and tags. For more information, see Specifying an Application.
Runtime Role ARN	Identity and Access Management (IAM) role used by the job. The role must have access to the data sources, targets, scripts, and libraries that the job uses. Enter the role in the following format: `arn:aws:iam::<account_id>:role/<role_name>` Where `<account_id>` is the ID of your AWS account and `<role_name>` is the name of the role to assume. You must create and attach an IAM trust policy to this role that allows the role to be assumed.
EMR Version	Amazon EMR version of created application. Transformer supports version 6.9.0 and later 6.x. Available when creating a new application.
Application Name Prefix	Prefix automatically added to the EMR Serverless application name. A prefix can help you identify the created applications in the EMR Studio console. Available when creating a new application.
Stop Application	Stops the EMR Serverless application when the pipeline stops. Available when creating a new application.
Subnet IDs	IDs of the subnets that contain Transformer and the origin and destination systems configured in the pipeline. Specify subnets in the virtual private cloud (VPC) where the EMR Serverless application resides. Available when creating a new application.
Security Group IDs	ID of one or more security groups that can communicate with Transformer and the origin and destination systems configured in the pipeline. Available when creating a new application.
Maximum CPU (vCPU)	Maximum number of vCPUs that the application can scale to. Available when creating a new application.
Maximum Memory (GB)	Maximum memory, specified in GB, that the application can scale to. Available when creating a new application.
Maximum Disk (GB)	Maximum disk size, specified in GB, that the application can scale to. Available when creating a new application.
Logging Enabled	Copies log files from job runs to a specified Amazon S3 location. Select to provide access to log data after the application stops.
S3 Log URI	Location in Amazon S3 to store pipeline log data. Location must be unique for each pipeline. Use the following format: `s3://<bucket>/<path>` The bucket must exist before you start the pipeline. Available when Logging Enabled is selected.
AWS Tags	AWS tags assigned to all applications and job runs created. For each tag, specify a tag name or key and a tag value.
Max Retries	Maximum number of times to retry a failed request or throttling error.
Retry Base Delay	Base delay in milliseconds for retrying after a failed request. The specified number is doubled for each subsequent retry, up to the value specified for the Max Backoff property.
Throttling Retry Base Delay	Base delay in milliseconds for retrying after a throttling error. The specified number is doubled for each subsequent retry, up to the value specified for the Max Backoff property.
Max Backoff	The maximum number of milliseconds to wait between retries. Limits the delay between retries after failed requests and throttling errors.