aws ecs register-task-definition

Registers a new task definition from the supplied family and containerDefinitions. Optionally, you can add data volumes to your containers with the volumes parameter. For more information about task definition parameters and defaults, see Amazon ECS Task Definitions in the Amazon Elastic Container Service Developer Guide. You can specify an IAM role for your task with the taskRoleArn parameter. When you specify an IAM role for a task, its containers can then use the latest versions of the AWS CLI or SDKs to make API requests to the AWS services that are specified in the IAM policy associated with the role. For more information, see IAM Roles for Tasks in the Amazon Elastic Container Service Developer Guide. You can specify a Docker networking mode for the containers in your task definition with the networkMode parameter. The available network modes correspond to those described in Network settings in the Docker run reference. If you specify the awsvpc network mode, the task is allocated an elastic network interface, and you must specify a NetworkConfiguration when you create a service or run a task with the task definition. For more information, see Task Networking in the Amazon Elastic Container Service Developer Guide

Options

NameDescription
--family <string>You must specify a family for a task definition, which allows you to track multiple versions of the same task definition. The family is used as a name for your task definition. Up to 255 letters (uppercase and lowercase), numbers, and hyphens are allowed
--task-role-arn <string>The short name or full Amazon Resource Name (ARN) of the IAM role that containers in this task can assume. All containers in this task are granted the permissions that are specified in this role. For more information, see IAM Roles for Tasks in the Amazon Elastic Container Service Developer Guide
--execution-role-arn <string>The Amazon Resource Name (ARN) of the task execution role that grants the Amazon ECS container agent permission to make AWS API calls on your behalf. The task execution IAM role is required depending on the requirements of your task. For more information, see Amazon ECS task execution IAM role in the Amazon Elastic Container Service Developer Guide
--network-mode <string>The Docker networking mode to use for the containers in the task. The valid values are none, bridge, awsvpc, and host. If no network mode is specified, the default is bridge. For Amazon ECS tasks on Fargate, the awsvpc network mode is required. For Amazon ECS tasks on Amazon EC2 instances, any network mode can be used. If the network mode is set to none, you cannot specify port mappings in your container definitions, and the tasks containers do not have external connectivity. The host and awsvpc network modes offer the highest networking performance for containers because they use the EC2 network stack instead of the virtualized network stack provided by the bridge mode. With the host and awsvpc network modes, exposed container ports are mapped directly to the corresponding host port (for the host network mode) or the attached elastic network interface port (for the awsvpc network mode), so you cannot take advantage of dynamic host port mappings. When using the host network mode, you should not run containers using the root user (UID 0). It is considered best practice to use a non-root user. If the network mode is awsvpc, the task is allocated an elastic network interface, and you must specify a NetworkConfiguration value when you create a service or run a task with the task definition. For more information, see Task Networking in the Amazon Elastic Container Service Developer Guide. Currently, only Amazon ECS-optimized AMIs, other Amazon Linux variants with the ecs-init package, or AWS Fargate infrastructure support the awsvpc network mode. If the network mode is host, you cannot run multiple instantiations of the same task on a single container instance when port mappings are used. Docker for Windows uses different network modes than Docker for Linux. When you register a task definition with Windows containers, you must not specify a network mode. If you use the console to register a task definition with Windows containers, you must choose the &lt;default&gt; network mode object. For more information, see Network settings in the Docker run reference
--container-definitions <list...>A list of container definitions in JSON format that describe the different containers that make up your task
--volumes <list...>A list of volume definitions in JSON format that containers in your task may use
--placement-constraints <list...>An array of placement constraint objects to use for the task. You can specify a maximum of 10 constraints per task (this limit includes constraints in the task definition and those specified at runtime)
--requires-compatibilities <list>The task launch type that Amazon ECS should validate the task definition against. A client exception is returned if the task definition doesn't validate against the compatibilities specified. If no value is specified, the parameter is omitted from the response
--cpu <string>The number of CPU units used by the task. It can be expressed as an integer using CPU units, for example 1024, or as a string using vCPUs, for example 1 vCPU or 1 vcpu, in a task definition. String values are converted to an integer indicating the CPU units when the task definition is registered. Task-level CPU and memory parameters are ignored for Windows containers. We recommend specifying container-level resources for Windows containers. If you are using the EC2 launch type, this field is optional. Supported values are between 128 CPU units (0.125 vCPUs) and 10240 CPU units (10 vCPUs). If you are using the Fargate launch type, this field is required and you must use one of the following values, which determines your range of supported values for the memory parameter: 256 (.25 vCPU) - Available memory values: 512 (0.5 GB), 1024 (1 GB), 2048 (2 GB) 512 (.5 vCPU) - Available memory values: 1024 (1 GB), 2048 (2 GB), 3072 (3 GB), 4096 (4 GB) 1024 (1 vCPU) - Available memory values: 2048 (2 GB), 3072 (3 GB), 4096 (4 GB), 5120 (5 GB), 6144 (6 GB), 7168 (7 GB), 8192 (8 GB) 2048 (2 vCPU) - Available memory values: Between 4096 (4 GB) and 16384 (16 GB) in increments of 1024 (1 GB) 4096 (4 vCPU) - Available memory values: Between 8192 (8 GB) and 30720 (30 GB) in increments of 1024 (1 GB)
--memory <string>The amount of memory (in MiB) used by the task. It can be expressed as an integer using MiB, for example 1024, or as a string using GB, for example 1GB or 1 GB, in a task definition. String values are converted to an integer indicating the MiB when the task definition is registered. Task-level CPU and memory parameters are ignored for Windows containers. We recommend specifying container-level resources for Windows containers. If using the EC2 launch type, this field is optional. If using the Fargate launch type, this field is required and you must use one of the following values, which determines your range of supported values for the cpu parameter: 512 (0.5 GB), 1024 (1 GB), 2048 (2 GB) - Available cpu values: 256 (.25 vCPU) 1024 (1 GB), 2048 (2 GB), 3072 (3 GB), 4096 (4 GB) - Available cpu values: 512 (.5 vCPU) 2048 (2 GB), 3072 (3 GB), 4096 (4 GB), 5120 (5 GB), 6144 (6 GB), 7168 (7 GB), 8192 (8 GB) - Available cpu values: 1024 (1 vCPU) Between 4096 (4 GB) and 16384 (16 GB) in increments of 1024 (1 GB) - Available cpu values: 2048 (2 vCPU) Between 8192 (8 GB) and 30720 (30 GB) in increments of 1024 (1 GB) - Available cpu values: 4096 (4 vCPU)
--tags <list...>The metadata that you apply to the task definition to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. The following basic restrictions apply to tags: Maximum number of tags per resource - 50 For each resource, each tag key must be unique, and each tag key can have only one value. Maximum key length - 128 Unicode characters in UTF-8 Maximum value length - 256 Unicode characters in UTF-8 If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @. Tag keys and values are case-sensitive. Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for AWS use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit
--pid-mode <string>The process namespace to use for the containers in the task. The valid values are host or task. If host is specified, then all containers within the tasks that specified the host PID mode on the same container instance share the same 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 more information, see PID settings in the Docker run reference. If the host PID mode is used, be aware that there is a heightened risk of undesired process namespace expose. For more information, see Docker security. This parameter is not supported for Windows containers or tasks run on AWS Fargate
--ipc-mode <string>The IPC resource namespace to use for the containers in the task. The valid values are host, task, or none. If host is specified, then 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, then IPC resources within the containers of a task are private and 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. If the host IPC mode is used, be aware that there is a heightened risk of undesired IPC namespace expose. For more information, see Docker security. If you are setting namespaced kernel parameters using systemControls for the containers in the task, the following will apply to your IPC resource namespace. For more information, see System Controls in the Amazon Elastic Container Service Developer Guide. For tasks that use the host IPC mode, IPC namespace related systemControls are not supported. For tasks that use the task IPC mode, IPC namespace related systemControls will apply to all containers within a task. This parameter is not supported for Windows containers or tasks run on AWS Fargate
--proxy-configuration <structure>The configuration details for the App Mesh proxy. For tasks using the EC2 launch type, the container instances require at least version 1.26.0 of the container agent and at least version 1.26.0-1 of the ecs-init package to enable a proxy configuration. If your container instances are launched from the Amazon ECS-optimized AMI version 20190301 or later, then they contain the required versions of the container agent and ecs-init. For more information, see Amazon ECS-optimized Linux AMI
--inference-accelerators <list...>The Elastic Inference accelerators to use for the containers in the task
--cli-input-json <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally
--generate-cli-skeleton <string>Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command