aws-native.batch.JobDefinition

The type of job definition. For more information about multi-node parallel jobs, see Creating a multi-node parallel job definition in the AWS Batch User Guide .

• If the value is container , then one of the following is required: containerProperties , ecsProperties , or eksProperties .
• If the value is multinode , then nodeProperties is required.

If the job is run on Fargate resources, then multinode isn't supported.

An object with properties that are specific to multi-node parallel jobs. When nodeProperties is used in the job definition, it can't be used in addition to containerProperties , ecsProperties , or eksProperties .

If the job runs on Fargate resources, don't specify nodeProperties . Use containerProperties instead.

The type of job definition. For more information about multi-node parallel jobs, see Creating a multi-node parallel job definition in the AWS Batch User Guide .

• If the value is container , then one of the following is required: containerProperties , ecsProperties , or eksProperties .
• If the value is multinode , then nodeProperties is required.

If the job is run on Fargate resources, then multinode isn't supported.

An object with properties that are specific to multi-node parallel jobs. When nodeProperties is used in the job definition, it can't be used in addition to containerProperties , ecsProperties , or eksProperties .

If the job runs on Fargate resources, don't specify nodeProperties . Use containerProperties instead.

The type of job definition. For more information about multi-node parallel jobs, see Creating a multi-node parallel job definition in the AWS Batch User Guide .

• If the value is container , then one of the following is required: containerProperties , ecsProperties , or eksProperties .
• If the value is multinode , then nodeProperties is required.

If the job is run on Fargate resources, then multinode isn't supported.

An object with properties that are specific to multi-node parallel jobs. When nodeProperties is used in the job definition, it can't be used in addition to containerProperties , ecsProperties , or eksProperties .

If the job runs on Fargate resources, don't specify nodeProperties . Use containerProperties instead.

The type of job definition. For more information about multi-node parallel jobs, see Creating a multi-node parallel job definition in the AWS Batch User Guide .

• If the value is container , then one of the following is required: containerProperties , ecsProperties , or eksProperties .
• If the value is multinode , then nodeProperties is required.

If the job is run on Fargate resources, then multinode isn't supported.

An object with properties that are specific to multi-node parallel jobs. When nodeProperties is used in the job definition, it can't be used in addition to containerProperties , ecsProperties , or eksProperties .

If the job runs on Fargate resources, don't specify nodeProperties . Use containerProperties instead.

The type of job definition. For more information about multi-node parallel jobs, see Creating a multi-node parallel job definition in the AWS Batch User Guide .

• If the value is container , then one of the following is required: containerProperties , ecsProperties , or eksProperties .
• If the value is multinode , then nodeProperties is required.

If the job is run on Fargate resources, then multinode isn't supported.

An object with properties that are specific to multi-node parallel jobs. When nodeProperties is used in the job definition, it can't be used in addition to containerProperties , ecsProperties , or eksProperties .

If the job runs on Fargate resources, don't specify nodeProperties . Use containerProperties instead.

The type of job definition. For more information about multi-node parallel jobs, see Creating a multi-node parallel job definition in the AWS Batch User Guide .

• If the value is container , then one of the following is required: containerProperties , ecsProperties , or eksProperties .
• If the value is multinode , then nodeProperties is required.

If the job is run on Fargate resources, then multinode isn't supported.

An object with properties that are specific to multi-node parallel jobs. When nodeProperties is used in the job definition, it can't be used in addition to containerProperties , ecsProperties , or eksProperties .

If the job runs on Fargate resources, don't specify nodeProperties . Use containerProperties instead.

Required. The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with *repository-url* / *image* : *tag* . It can be 255 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), underscores (_), colons (:), periods (.), forward slashes (/), and number signs (#). This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .

Docker image architecture must match the processor architecture of the compute resources that they're scheduled on. For example, ARM-based Docker images can only run on ARM-based compute resources.

• Images in Amazon ECR Public repositories use the full registry/repository[:tag] or registry/repository[@digest] naming conventions. For example, public.ecr.aws/ *registry_alias* / *my-web-app* : *latest* .
• Images in Amazon ECR repositories use the full registry and repository URI (for example, 123456789012.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).
• Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).
• Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).
• Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).

The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .

We don't recommend using plaintext environment variables for sensitive information, such as credential data. > Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

The log configuration specification for the container.

This parameter maps to LogConfig in the Create a container section of the Docker Remote API and the --log-driver option to docker run . By default, containers use the same logging driver that the Docker daemon uses. However the container might use a different logging driver than the Docker daemon by specifying a log driver with this parameter in the container definition. To use a different logging driver for a container, the log system must be configured properly on the container instance (or on a different log server for remote logging options). For more information on the options for different supported log drivers, see Configure logging drivers in the Docker documentation.

AWS Batch currently supports a subset of the logging drivers available to the Docker daemon (shown in the LogConfiguration data type).

This parameter requires version 1.18 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command: sudo docker version | grep "Server API version"

The Amazon ECS container agent running on a container instance must register the logging drivers available on that instance with the ECS_AVAILABLE_LOGGING_DRIVERS environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .

When this parameter is true, the container is given elevated permissions on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . The default value is false.

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided, or specified as false.

A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided.

This parameter is deprecated, use resourceRequirements to specify the vCPU requirements for the job definition. It's not supported for jobs running on Fargate resources. For jobs running on Amazon EC2 resources, it specifies the number of vCPUs reserved for the job.

Each vCPU is equivalent to 1,024 CPU shares. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . The number of vCPUs must be specified but can be specified in several places. You must specify it at least once for each node.

Required. The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with *repository-url* / *image* : *tag* . It can be 255 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), underscores (_), colons (:), periods (.), forward slashes (/), and number signs (#). This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .

Docker image architecture must match the processor architecture of the compute resources that they're scheduled on. For example, ARM-based Docker images can only run on ARM-based compute resources.

• Images in Amazon ECR Public repositories use the full registry/repository[:tag] or registry/repository[@digest] naming conventions. For example, public.ecr.aws/ *registry_alias* / *my-web-app* : *latest* .
• Images in Amazon ECR repositories use the full registry and repository URI (for example, 123456789012.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).
• Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).
• Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).
• Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).

The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .

We don't recommend using plaintext environment variables for sensitive information, such as credential data. > Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

The log configuration specification for the container.

This parameter maps to LogConfig in the Create a container section of the Docker Remote API and the --log-driver option to docker run . By default, containers use the same logging driver that the Docker daemon uses. However the container might use a different logging driver than the Docker daemon by specifying a log driver with this parameter in the container definition. To use a different logging driver for a container, the log system must be configured properly on the container instance (or on a different log server for remote logging options). For more information on the options for different supported log drivers, see Configure logging drivers in the Docker documentation.

AWS Batch currently supports a subset of the logging drivers available to the Docker daemon (shown in the LogConfiguration data type).

This parameter requires version 1.18 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command: sudo docker version | grep "Server API version"

The Amazon ECS container agent running on a container instance must register the logging drivers available on that instance with the ECS_AVAILABLE_LOGGING_DRIVERS environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .

When this parameter is true, the container is given elevated permissions on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . The default value is false.

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided, or specified as false.

A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided.

This parameter is deprecated, use resourceRequirements to specify the vCPU requirements for the job definition. It's not supported for jobs running on Fargate resources. For jobs running on Amazon EC2 resources, it specifies the number of vCPUs reserved for the job.

Each vCPU is equivalent to 1,024 CPU shares. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . The number of vCPUs must be specified but can be specified in several places. You must specify it at least once for each node.

Required. The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with *repository-url* / *image* : *tag* . It can be 255 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), underscores (_), colons (:), periods (.), forward slashes (/), and number signs (#). This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .

Docker image architecture must match the processor architecture of the compute resources that they're scheduled on. For example, ARM-based Docker images can only run on ARM-based compute resources.

• Images in Amazon ECR Public repositories use the full registry/repository[:tag] or registry/repository[@digest] naming conventions. For example, public.ecr.aws/ *registry_alias* / *my-web-app* : *latest* .
• Images in Amazon ECR repositories use the full registry and repository URI (for example, 123456789012.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).
• Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).
• Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).
• Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).

The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .

We don't recommend using plaintext environment variables for sensitive information, such as credential data. > Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

The log configuration specification for the container.

This parameter maps to LogConfig in the Create a container section of the Docker Remote API and the --log-driver option to docker run . By default, containers use the same logging driver that the Docker daemon uses. However the container might use a different logging driver than the Docker daemon by specifying a log driver with this parameter in the container definition. To use a different logging driver for a container, the log system must be configured properly on the container instance (or on a different log server for remote logging options). For more information on the options for different supported log drivers, see Configure logging drivers in the Docker documentation.

AWS Batch currently supports a subset of the logging drivers available to the Docker daemon (shown in the LogConfiguration data type).

This parameter requires version 1.18 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command: sudo docker version | grep "Server API version"

The Amazon ECS container agent running on a container instance must register the logging drivers available on that instance with the ECS_AVAILABLE_LOGGING_DRIVERS environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .

When this parameter is true, the container is given elevated permissions on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . The default value is false.

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided, or specified as false.

A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided.

This parameter is deprecated, use resourceRequirements to specify the vCPU requirements for the job definition. It's not supported for jobs running on Fargate resources. For jobs running on Amazon EC2 resources, it specifies the number of vCPUs reserved for the job.

Each vCPU is equivalent to 1,024 CPU shares. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . The number of vCPUs must be specified but can be specified in several places. You must specify it at least once for each node.

Required. The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with *repository-url* / *image* : *tag* . It can be 255 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), underscores (_), colons (:), periods (.), forward slashes (/), and number signs (#). This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .

Docker image architecture must match the processor architecture of the compute resources that they're scheduled on. For example, ARM-based Docker images can only run on ARM-based compute resources.

• Images in Amazon ECR Public repositories use the full registry/repository[:tag] or registry/repository[@digest] naming conventions. For example, public.ecr.aws/ *registry_alias* / *my-web-app* : *latest* .
• Images in Amazon ECR repositories use the full registry and repository URI (for example, 123456789012.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).
• Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).
• Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).
• Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).

The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .

We don't recommend using plaintext environment variables for sensitive information, such as credential data. > Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

The log configuration specification for the container.

This parameter maps to LogConfig in the Create a container section of the Docker Remote API and the --log-driver option to docker run . By default, containers use the same logging driver that the Docker daemon uses. However the container might use a different logging driver than the Docker daemon by specifying a log driver with this parameter in the container definition. To use a different logging driver for a container, the log system must be configured properly on the container instance (or on a different log server for remote logging options). For more information on the options for different supported log drivers, see Configure logging drivers in the Docker documentation.

AWS Batch currently supports a subset of the logging drivers available to the Docker daemon (shown in the LogConfiguration data type).

This parameter requires version 1.18 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command: sudo docker version | grep "Server API version"

The Amazon ECS container agent running on a container instance must register the logging drivers available on that instance with the ECS_AVAILABLE_LOGGING_DRIVERS environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .

When this parameter is true, the container is given elevated permissions on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . The default value is false.

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided, or specified as false.

A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided.

This parameter is deprecated, use resourceRequirements to specify the vCPU requirements for the job definition. It's not supported for jobs running on Fargate resources. For jobs running on Amazon EC2 resources, it specifies the number of vCPUs reserved for the job.

Each vCPU is equivalent to 1,024 CPU shares. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . The number of vCPUs must be specified but can be specified in several places. You must specify it at least once for each node.

Required. The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with *repository-url* / *image* : *tag* . It can be 255 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), underscores (_), colons (:), periods (.), forward slashes (/), and number signs (#). This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .

Docker image architecture must match the processor architecture of the compute resources that they're scheduled on. For example, ARM-based Docker images can only run on ARM-based compute resources.

• Images in Amazon ECR Public repositories use the full registry/repository[:tag] or registry/repository[@digest] naming conventions. For example, public.ecr.aws/ *registry_alias* / *my-web-app* : *latest* .
• Images in Amazon ECR repositories use the full registry and repository URI (for example, 123456789012.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).
• Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).
• Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).
• Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).

The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .

We don't recommend using plaintext environment variables for sensitive information, such as credential data. > Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

The log configuration specification for the container.

This parameter maps to LogConfig in the Create a container section of the Docker Remote API and the --log-driver option to docker run . By default, containers use the same logging driver that the Docker daemon uses. However the container might use a different logging driver than the Docker daemon by specifying a log driver with this parameter in the container definition. To use a different logging driver for a container, the log system must be configured properly on the container instance (or on a different log server for remote logging options). For more information on the options for different supported log drivers, see Configure logging drivers in the Docker documentation.

AWS Batch currently supports a subset of the logging drivers available to the Docker daemon (shown in the LogConfiguration data type).

This parameter requires version 1.18 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command: sudo docker version | grep "Server API version"

The Amazon ECS container agent running on a container instance must register the logging drivers available on that instance with the ECS_AVAILABLE_LOGGING_DRIVERS environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .

When this parameter is true, the container is given elevated permissions on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . The default value is false.

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided, or specified as false.

A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided.

This parameter is deprecated, use resourceRequirements to specify the vCPU requirements for the job definition. It's not supported for jobs running on Fargate resources. For jobs running on Amazon EC2 resources, it specifies the number of vCPUs reserved for the job.

Each vCPU is equivalent to 1,024 CPU shares. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . The number of vCPUs must be specified but can be specified in several places. You must specify it at least once for each node.

Required. The image used to start a container. This string is passed directly to the Docker daemon. Images in the Docker Hub registry are available by default. Other repositories are specified with *repository-url* / *image* : *tag* . It can be 255 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), underscores (_), colons (:), periods (.), forward slashes (/), and number signs (#). This parameter maps to Image in the Create a container section of the Docker Remote API and the IMAGE parameter of docker run .

Docker image architecture must match the processor architecture of the compute resources that they're scheduled on. For example, ARM-based Docker images can only run on ARM-based compute resources.

• Images in Amazon ECR Public repositories use the full registry/repository[:tag] or registry/repository[@digest] naming conventions. For example, public.ecr.aws/ *registry_alias* / *my-web-app* : *latest* .
• Images in Amazon ECR repositories use the full registry and repository URI (for example, 123456789012.dkr.ecr.<region-name>.amazonaws.com/<repository-name> ).
• Images in official repositories on Docker Hub use a single name (for example, ubuntu or mongo ).
• Images in other repositories on Docker Hub are qualified with an organization name (for example, amazon/amazon-ecs-agent ).
• Images in other online repositories are qualified further by a domain name (for example, quay.io/assemblyline/ubuntu ).

The environment variables to pass to a container. This parameter maps to Env in the Create a container section of the Docker Remote API and the --env option to docker run .

We don't recommend using plaintext environment variables for sensitive information, such as credential data. > Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

The log configuration specification for the container.

This parameter maps to LogConfig in the Create a container section of the Docker Remote API and the --log-driver option to docker run . By default, containers use the same logging driver that the Docker daemon uses. However the container might use a different logging driver than the Docker daemon by specifying a log driver with this parameter in the container definition. To use a different logging driver for a container, the log system must be configured properly on the container instance (or on a different log server for remote logging options). For more information on the options for different supported log drivers, see Configure logging drivers in the Docker documentation.

AWS Batch currently supports a subset of the logging drivers available to the Docker daemon (shown in the LogConfiguration data type).

This parameter requires version 1.18 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command: sudo docker version | grep "Server API version"

The Amazon ECS container agent running on a container instance must register the logging drivers available on that instance with the ECS_AVAILABLE_LOGGING_DRIVERS environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .

When this parameter is true, the container is given elevated permissions on the host container instance (similar to the root user). This parameter maps to Privileged in the Create a container section of the Docker Remote API and the --privileged option to docker run . The default value is false.

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided, or specified as false.

A list of ulimits to set in the container. This parameter maps to Ulimits in the Create a container section of the Docker Remote API and the --ulimit option to docker run .

This parameter isn't applicable to jobs that are running on Fargate resources and shouldn't be provided.

This parameter is deprecated, use resourceRequirements to specify the vCPU requirements for the job definition. It's not supported for jobs running on Fargate resources. For jobs running on Amazon EC2 resources, it specifies the number of vCPUs reserved for the job.

Each vCPU is equivalent to 1,024 CPU shares. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run . The number of vCPUs must be specified but can be specified in several places. You must specify it at least once for each node.

An object that contains the properties for the Amazon ECS task definition of a job.

This object is currently limited to one task element. However, the task element can run up to 10 containers.

An object that contains the properties for the Amazon ECS task definition of a job.

This object is currently limited to one task element. However, the task element can run up to 10 containers.

An object that contains the properties for the Amazon ECS task definition of a job.

This object is currently limited to one task element. However, the task element can run up to 10 containers.

An object that contains the properties for the Amazon ECS task definition of a job.

This object is currently limited to one task element. However, the task element can run up to 10 containers.

An object that contains the properties for the Amazon ECS task definition of a job.

This object is currently limited to one task element. However, the task element can run up to 10 containers.

An object that contains the properties for the Amazon ECS task definition of a job.

This object is currently limited to one task element. However, the task element can run up to 10 containers.

The IPC resource namespace to use for the containers in the task. The valid values are host , task , or none .

If host is specified, all containers within the tasks that specified the host IPC mode on the same container instance share the same IPC resources with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same IPC resources.

If none is specified, the IPC resources within the containers of a task are private, and are not shared with other containers in a task or on the container instance.

If no value is specified, then the IPC resource namespace sharing depends on the Docker daemon setting on the container instance. For more information, see IPC settings in the Docker run reference.

The process namespace to use for the containers in the task. The valid values are host or task . For example, monitoring sidecars might need pidMode to access information about other containers running in the same task.

If host is specified, all containers within the tasks that specified the host PID mode on the same container instance share the process namespace with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same process namespace.

If no value is specified, the default is a private namespace for each container. For more information, see PID settings in the Docker run reference.

The Amazon Resource Name (ARN) that's associated with the Amazon ECS task.

This is object is comparable to ContainerProperties:jobRoleArn .

The IPC resource namespace to use for the containers in the task. The valid values are host , task , or none .

If host is specified, all containers within the tasks that specified the host IPC mode on the same container instance share the same IPC resources with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same IPC resources.

If none is specified, the IPC resources within the containers of a task are private, and are not shared with other containers in a task or on the container instance.

If no value is specified, then the IPC resource namespace sharing depends on the Docker daemon setting on the container instance. For more information, see IPC settings in the Docker run reference.

The process namespace to use for the containers in the task. The valid values are host or task . For example, monitoring sidecars might need pidMode to access information about other containers running in the same task.

If host is specified, all containers within the tasks that specified the host PID mode on the same container instance share the process namespace with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same process namespace.

If no value is specified, the default is a private namespace for each container. For more information, see PID settings in the Docker run reference.

The Amazon Resource Name (ARN) that's associated with the Amazon ECS task.

This is object is comparable to ContainerProperties:jobRoleArn .

The IPC resource namespace to use for the containers in the task. The valid values are host , task , or none .

If host is specified, all containers within the tasks that specified the host IPC mode on the same container instance share the same IPC resources with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same IPC resources.

If none is specified, the IPC resources within the containers of a task are private, and are not shared with other containers in a task or on the container instance.

If no value is specified, then the IPC resource namespace sharing depends on the Docker daemon setting on the container instance. For more information, see IPC settings in the Docker run reference.

The process namespace to use for the containers in the task. The valid values are host or task . For example, monitoring sidecars might need pidMode to access information about other containers running in the same task.

If host is specified, all containers within the tasks that specified the host PID mode on the same container instance share the process namespace with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same process namespace.

If no value is specified, the default is a private namespace for each container. For more information, see PID settings in the Docker run reference.

The Amazon Resource Name (ARN) that's associated with the Amazon ECS task.

This is object is comparable to ContainerProperties:jobRoleArn .

The IPC resource namespace to use for the containers in the task. The valid values are host , task , or none .

If host is specified, all containers within the tasks that specified the host IPC mode on the same container instance share the same IPC resources with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same IPC resources.

If none is specified, the IPC resources within the containers of a task are private, and are not shared with other containers in a task or on the container instance.

If no value is specified, then the IPC resource namespace sharing depends on the Docker daemon setting on the container instance. For more information, see IPC settings in the Docker run reference.

The process namespace to use for the containers in the task. The valid values are host or task . For example, monitoring sidecars might need pidMode to access information about other containers running in the same task.

If host is specified, all containers within the tasks that specified the host PID mode on the same container instance share the process namespace with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same process namespace.

If no value is specified, the default is a private namespace for each container. For more information, see PID settings in the Docker run reference.

The Amazon Resource Name (ARN) that's associated with the Amazon ECS task.

This is object is comparable to ContainerProperties:jobRoleArn .

The IPC resource namespace to use for the containers in the task. The valid values are host , task , or none .

If host is specified, all containers within the tasks that specified the host IPC mode on the same container instance share the same IPC resources with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same IPC resources.

If none is specified, the IPC resources within the containers of a task are private, and are not shared with other containers in a task or on the container instance.

If no value is specified, then the IPC resource namespace sharing depends on the Docker daemon setting on the container instance. For more information, see IPC settings in the Docker run reference.

The process namespace to use for the containers in the task. The valid values are host or task . For example, monitoring sidecars might need pidMode to access information about other containers running in the same task.

If host is specified, all containers within the tasks that specified the host PID mode on the same container instance share the process namespace with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same process namespace.

If no value is specified, the default is a private namespace for each container. For more information, see PID settings in the Docker run reference.

The Amazon Resource Name (ARN) that's associated with the Amazon ECS task.

This is object is comparable to ContainerProperties:jobRoleArn .

The IPC resource namespace to use for the containers in the task. The valid values are host , task , or none .

If host is specified, all containers within the tasks that specified the host IPC mode on the same container instance share the same IPC resources with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same IPC resources.

If none is specified, the IPC resources within the containers of a task are private, and are not shared with other containers in a task or on the container instance.

If no value is specified, then the IPC resource namespace sharing depends on the Docker daemon setting on the container instance. For more information, see IPC settings in the Docker run reference.

The process namespace to use for the containers in the task. The valid values are host or task . For example, monitoring sidecars might need pidMode to access information about other containers running in the same task.

If host is specified, all containers within the tasks that specified the host PID mode on the same container instance share the process namespace with the host Amazon EC2 instance.

If task is specified, all containers within the specified task share the same process namespace.

If no value is specified, the default is a private namespace for each container. For more information, see PID settings in the Docker run reference.

The Amazon Resource Name (ARN) that's associated with the Amazon ECS task.

This is object is comparable to ContainerProperties:jobRoleArn .

The directory within the Amazon EFS file system to mount as the root directory inside the host. If this parameter is omitted, the root of the Amazon EFS volume is used instead. Specifying / has the same effect as omitting this parameter. The maximum length is 4,096 characters.

If an EFS access point is specified in the authorizationConfig , the root directory parameter must either be omitted or set to / , which enforces the path set on the Amazon EFS access point.

The directory within the Amazon EFS file system to mount as the root directory inside the host. If this parameter is omitted, the root of the Amazon EFS volume is used instead. Specifying / has the same effect as omitting this parameter. The maximum length is 4,096 characters.

If an EFS access point is specified in the authorizationConfig , the root directory parameter must either be omitted or set to / , which enforces the path set on the Amazon EFS access point.

The directory within the Amazon EFS file system to mount as the root directory inside the host. If this parameter is omitted, the root of the Amazon EFS volume is used instead. Specifying / has the same effect as omitting this parameter. The maximum length is 4,096 characters.

If an EFS access point is specified in the authorizationConfig , the root directory parameter must either be omitted or set to / , which enforces the path set on the Amazon EFS access point.

The directory within the Amazon EFS file system to mount as the root directory inside the host. If this parameter is omitted, the root of the Amazon EFS volume is used instead. Specifying / has the same effect as omitting this parameter. The maximum length is 4,096 characters.

If an EFS access point is specified in the authorizationConfig , the root directory parameter must either be omitted or set to / , which enforces the path set on the Amazon EFS access point.

The directory within the Amazon EFS file system to mount as the root directory inside the host. If this parameter is omitted, the root of the Amazon EFS volume is used instead. Specifying / has the same effect as omitting this parameter. The maximum length is 4,096 characters.

If an EFS access point is specified in the authorizationConfig , the root directory parameter must either be omitted or set to / , which enforces the path set on the Amazon EFS access point.

The directory within the Amazon EFS file system to mount as the root directory inside the host. If this parameter is omitted, the root of the Amazon EFS volume is used instead. Specifying / has the same effect as omitting this parameter. The maximum length is 4,096 characters.

If an EFS access point is specified in the authorizationConfig , the root directory parameter must either be omitted or set to / , which enforces the path set on the Amazon EFS access point.

An array of arguments to the entrypoint. If this isn't specified, the CMD of the container image is used. This corresponds to the args member in the Entrypoint portion of the Pod in Kubernetes. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ , and the resulting string isn't expanded. For example, $$(VAR_NAME) is passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. For more information, see Dockerfile reference: CMD and Define a command and arguments for a pod in the Kubernetes documentation .

The entrypoint for the container. This isn't run within a shell. If this isn't specified, the ENTRYPOINT of the container image is used. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ and the resulting string isn't expanded. For example, $$(VAR_NAME) will be passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. The entrypoint can't be updated. For more information, see ENTRYPOINT in the Dockerfile reference and Define a command and arguments for a container and Entrypoint in the Kubernetes documentation .

The environment variables to pass to a container.

Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

An array of arguments to the entrypoint. If this isn't specified, the CMD of the container image is used. This corresponds to the args member in the Entrypoint portion of the Pod in Kubernetes. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ , and the resulting string isn't expanded. For example, $$(VAR_NAME) is passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. For more information, see Dockerfile reference: CMD and Define a command and arguments for a pod in the Kubernetes documentation .

The entrypoint for the container. This isn't run within a shell. If this isn't specified, the ENTRYPOINT of the container image is used. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ and the resulting string isn't expanded. For example, $$(VAR_NAME) will be passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. The entrypoint can't be updated. For more information, see ENTRYPOINT in the Dockerfile reference and Define a command and arguments for a container and Entrypoint in the Kubernetes documentation .

The environment variables to pass to a container.

Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

An array of arguments to the entrypoint. If this isn't specified, the CMD of the container image is used. This corresponds to the args member in the Entrypoint portion of the Pod in Kubernetes. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ , and the resulting string isn't expanded. For example, $$(VAR_NAME) is passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. For more information, see Dockerfile reference: CMD and Define a command and arguments for a pod in the Kubernetes documentation .

The entrypoint for the container. This isn't run within a shell. If this isn't specified, the ENTRYPOINT of the container image is used. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ and the resulting string isn't expanded. For example, $$(VAR_NAME) will be passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. The entrypoint can't be updated. For more information, see ENTRYPOINT in the Dockerfile reference and Define a command and arguments for a container and Entrypoint in the Kubernetes documentation .

The environment variables to pass to a container.

Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

An array of arguments to the entrypoint. If this isn't specified, the CMD of the container image is used. This corresponds to the args member in the Entrypoint portion of the Pod in Kubernetes. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ , and the resulting string isn't expanded. For example, $$(VAR_NAME) is passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. For more information, see Dockerfile reference: CMD and Define a command and arguments for a pod in the Kubernetes documentation .

The entrypoint for the container. This isn't run within a shell. If this isn't specified, the ENTRYPOINT of the container image is used. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ and the resulting string isn't expanded. For example, $$(VAR_NAME) will be passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. The entrypoint can't be updated. For more information, see ENTRYPOINT in the Dockerfile reference and Define a command and arguments for a container and Entrypoint in the Kubernetes documentation .

The environment variables to pass to a container.

Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

An array of arguments to the entrypoint. If this isn't specified, the CMD of the container image is used. This corresponds to the args member in the Entrypoint portion of the Pod in Kubernetes. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ , and the resulting string isn't expanded. For example, $$(VAR_NAME) is passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. For more information, see Dockerfile reference: CMD and Define a command and arguments for a pod in the Kubernetes documentation .

The entrypoint for the container. This isn't run within a shell. If this isn't specified, the ENTRYPOINT of the container image is used. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ and the resulting string isn't expanded. For example, $$(VAR_NAME) will be passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. The entrypoint can't be updated. For more information, see ENTRYPOINT in the Dockerfile reference and Define a command and arguments for a container and Entrypoint in the Kubernetes documentation .

The environment variables to pass to a container.

Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

An array of arguments to the entrypoint. If this isn't specified, the CMD of the container image is used. This corresponds to the args member in the Entrypoint portion of the Pod in Kubernetes. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ , and the resulting string isn't expanded. For example, $$(VAR_NAME) is passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. For more information, see Dockerfile reference: CMD and Define a command and arguments for a pod in the Kubernetes documentation .

The entrypoint for the container. This isn't run within a shell. If this isn't specified, the ENTRYPOINT of the container image is used. Environment variable references are expanded using the container's environment.

If the referenced environment variable doesn't exist, the reference in the command isn't changed. For example, if the reference is to " $(NAME1) " and the NAME1 environment variable doesn't exist, the command string will remain " $(NAME1) ." $$ is replaced with $ and the resulting string isn't expanded. For example, $$(VAR_NAME) will be passed as $(VAR_NAME) whether or not the VAR_NAME environment variable exists. The entrypoint can't be updated. For more information, see ENTRYPOINT in the Dockerfile reference and Define a command and arguments for a container and Entrypoint in the Kubernetes documentation .

The environment variables to pass to a container.

Environment variables cannot start with " AWS_BATCH ". This naming convention is reserved for variables that AWS Batch sets.

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to request for the container. The values vary based on the name that's specified. Resources can be requested by using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that are reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that are reserved for the container. Values must be a whole integer. nvidia.com/gpu can be specified in limits , requests , or both. If nvidia.com/gpu is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to request for the container. The values vary based on the name that's specified. Resources can be requested by using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that are reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that are reserved for the container. Values must be a whole integer. nvidia.com/gpu can be specified in limits , requests , or both. If nvidia.com/gpu is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to request for the container. The values vary based on the name that's specified. Resources can be requested by using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that are reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that are reserved for the container. Values must be a whole integer. nvidia.com/gpu can be specified in limits , requests , or both. If nvidia.com/gpu is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to request for the container. The values vary based on the name that's specified. Resources can be requested by using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that are reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that are reserved for the container. Values must be a whole integer. nvidia.com/gpu can be specified in limits , requests , or both. If nvidia.com/gpu is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to request for the container. The values vary based on the name that's specified. Resources can be requested by using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that are reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that are reserved for the container. Values must be a whole integer. nvidia.com/gpu can be specified in limits , requests , or both. If nvidia.com/gpu is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to reserve for the container. The values vary based on the name that's specified. Resources can be requested using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

To maximize your resource utilization, provide your jobs with as much memory as possible for the specific instance type that you are using. To learn how, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that's reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both places, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that's reserved for the container. Values must be a whole integer. memory can be specified in limits , requests , or both. If memory is specified in both places, then the value that's specified in limits must be equal to the value that's specified in requests .

The type and quantity of the resources to request for the container. The values vary based on the name that's specified. Resources can be requested by using either the limits or the requests objects.

• memory - The memory hard limit (in MiB) for the container, using whole integers, with a "Mi" suffix. If your container attempts to exceed the memory specified, the container is terminated. You must specify at least 4 MiB of memory for a job. memory can be specified in limits , requests , or both. If memory is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory management in the AWS Batch User Guide .

• cpu - The number of CPUs that are reserved for the container. Values must be an even multiple of 0.25 . cpu can be specified in limits , requests , or both. If cpu is specified in both, then the value that's specified in limits must be at least as large as the value that's specified in requests .
• nvidia.com/gpu - The number of GPUs that are reserved for the container. Values must be a whole integer. nvidia.com/gpu can be specified in limits , requests , or both. If nvidia.com/gpu is specified in both, then the value that's specified in limits must be equal to the value that's specified in requests .

• "" - (Default) Use the disk storage of the node.
• "Memory" - Use the tmpfs volume that's backed by the RAM of the node. Contents of the volume are lost when the node reboots, and any storage on the volume counts against the container's memory limit.

• "" - (Default) Use the disk storage of the node.
• "Memory" - Use the tmpfs volume that's backed by the RAM of the node. Contents of the volume are lost when the node reboots, and any storage on the volume counts against the container's memory limit.

• "" - (Default) Use the disk storage of the node.
• "Memory" - Use the tmpfs volume that's backed by the RAM of the node. Contents of the volume are lost when the node reboots, and any storage on the volume counts against the container's memory limit.

• "" - (Default) Use the disk storage of the node.
• "Memory" - Use the tmpfs volume that's backed by the RAM of the node. Contents of the volume are lost when the node reboots, and any storage on the volume counts against the container's memory limit.

• "" - (Default) Use the disk storage of the node.
• "Memory" - Use the tmpfs volume that's backed by the RAM of the node. Contents of the volume are lost when the node reboots, and any storage on the volume counts against the container's memory limit.

• "" - (Default) Use the disk storage of the node.
• "Memory" - Use the tmpfs volume that's backed by the RAM of the node. Contents of the volume are lost when the node reboots, and any storage on the volume counts against the container's memory limit.

Key-value pairs used to attach arbitrary, non-identifying metadata to Kubernetes objects. Valid annotation keys have two segments: an optional prefix and a name, separated by a slash (/).

• The prefix is optional and must be 253 characters or less. If specified, the prefix must be a DNS subdomain− a series of DNS labels separated by dots (.), and it must end with a slash (/).
• The name segment is required and must be 63 characters or less. It can include alphanumeric characters ([a-z0-9A-Z]), dashes (-), underscores (_), and dots (.), but must begin and end with an alphanumeric character.

Annotation values must be 255 characters or less.

Annotations can be added or modified at any time. Each resource can have multiple annotations.

The namespace of the Amazon EKS cluster. In Kubernetes, namespaces provide a mechanism for isolating groups of resources within a single cluster. Names of resources need to be unique within a namespace, but not across namespaces. AWS Batch places Batch Job pods in this namespace. If this field is provided, the value can't be empty or null. It must meet the following requirements:

• 1-63 characters long
• Can't be set to default
• Can't start with kube
• Must match the following regular expression: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?$

For more information, see Namespaces in the Kubernetes documentation . This namespace can be different from the kubernetesNamespace set in the compute environment's EksConfiguration , but must have identical role-based access control (RBAC) roles as the compute environment's kubernetesNamespace . For multi-node parallel jobs, the same value must be provided across all the node ranges.

Key-value pairs used to attach arbitrary, non-identifying metadata to Kubernetes objects. Valid annotation keys have two segments: an optional prefix and a name, separated by a slash (/).

• The prefix is optional and must be 253 characters or less. If specified, the prefix must be a DNS subdomain− a series of DNS labels separated by dots (.), and it must end with a slash (/).
• The name segment is required and must be 63 characters or less. It can include alphanumeric characters ([a-z0-9A-Z]), dashes (-), underscores (_), and dots (.), but must begin and end with an alphanumeric character.

Annotation values must be 255 characters or less.

Annotations can be added or modified at any time. Each resource can have multiple annotations.

The namespace of the Amazon EKS cluster. In Kubernetes, namespaces provide a mechanism for isolating groups of resources within a single cluster. Names of resources need to be unique within a namespace, but not across namespaces. AWS Batch places Batch Job pods in this namespace. If this field is provided, the value can't be empty or null. It must meet the following requirements:

• 1-63 characters long
• Can't be set to default
• Can't start with kube
• Must match the following regular expression: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?$

For more information, see Namespaces in the Kubernetes documentation . This namespace can be different from the kubernetesNamespace set in the compute environment's EksConfiguration , but must have identical role-based access control (RBAC) roles as the compute environment's kubernetesNamespace . For multi-node parallel jobs, the same value must be provided across all the node ranges.

Key-value pairs used to attach arbitrary, non-identifying metadata to Kubernetes objects. Valid annotation keys have two segments: an optional prefix and a name, separated by a slash (/).

• The prefix is optional and must be 253 characters or less. If specified, the prefix must be a DNS subdomain− a series of DNS labels separated by dots (.), and it must end with a slash (/).
• The name segment is required and must be 63 characters or less. It can include alphanumeric characters ([a-z0-9A-Z]), dashes (-), underscores (_), and dots (.), but must begin and end with an alphanumeric character.

Annotation values must be 255 characters or less.

Annotations can be added or modified at any time. Each resource can have multiple annotations.

The namespace of the Amazon EKS cluster. In Kubernetes, namespaces provide a mechanism for isolating groups of resources within a single cluster. Names of resources need to be unique within a namespace, but not across namespaces. AWS Batch places Batch Job pods in this namespace. If this field is provided, the value can't be empty or null. It must meet the following requirements:

• 1-63 characters long
• Can't be set to default
• Can't start with kube
• Must match the following regular expression: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?$

For more information, see Namespaces in the Kubernetes documentation . This namespace can be different from the kubernetesNamespace set in the compute environment's EksConfiguration , but must have identical role-based access control (RBAC) roles as the compute environment's kubernetesNamespace . For multi-node parallel jobs, the same value must be provided across all the node ranges.

Key-value pairs used to attach arbitrary, non-identifying metadata to Kubernetes objects. Valid annotation keys have two segments: an optional prefix and a name, separated by a slash (/).

• The prefix is optional and must be 253 characters or less. If specified, the prefix must be a DNS subdomain− a series of DNS labels separated by dots (.), and it must end with a slash (/).
• The name segment is required and must be 63 characters or less. It can include alphanumeric characters ([a-z0-9A-Z]), dashes (-), underscores (_), and dots (.), but must begin and end with an alphanumeric character.

Annotation values must be 255 characters or less.

Annotations can be added or modified at any time. Each resource can have multiple annotations.

The namespace of the Amazon EKS cluster. In Kubernetes, namespaces provide a mechanism for isolating groups of resources within a single cluster. Names of resources need to be unique within a namespace, but not across namespaces. AWS Batch places Batch Job pods in this namespace. If this field is provided, the value can't be empty or null. It must meet the following requirements:

• 1-63 characters long
• Can't be set to default
• Can't start with kube
• Must match the following regular expression: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?$

For more information, see Namespaces in the Kubernetes documentation . This namespace can be different from the kubernetesNamespace set in the compute environment's EksConfiguration , but must have identical role-based access control (RBAC) roles as the compute environment's kubernetesNamespace . For multi-node parallel jobs, the same value must be provided across all the node ranges.

Key-value pairs used to attach arbitrary, non-identifying metadata to Kubernetes objects. Valid annotation keys have two segments: an optional prefix and a name, separated by a slash (/).

• The prefix is optional and must be 253 characters or less. If specified, the prefix must be a DNS subdomain− a series of DNS labels separated by dots (.), and it must end with a slash (/).
• The name segment is required and must be 63 characters or less. It can include alphanumeric characters ([a-z0-9A-Z]), dashes (-), underscores (_), and dots (.), but must begin and end with an alphanumeric character.

Annotation values must be 255 characters or less.

Annotations can be added or modified at any time. Each resource can have multiple annotations.

The namespace of the Amazon EKS cluster. In Kubernetes, namespaces provide a mechanism for isolating groups of resources within a single cluster. Names of resources need to be unique within a namespace, but not across namespaces. AWS Batch places Batch Job pods in this namespace. If this field is provided, the value can't be empty or null. It must meet the following requirements:

• 1-63 characters long
• Can't be set to default
• Can't start with kube
• Must match the following regular expression: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?$