aws ecs stop-task
Stops a running task. Any tags associated with the task will be deleted. When StopTask is called on a task, the equivalent of docker stop is issued to the containers running in the task. This results in a SIGTERM value and a default 30-second timeout, after which the SIGKILL value is sent and the containers are forcibly stopped. If the container handles the SIGTERM value gracefully and exits within 30 seconds from receiving it, no SIGKILL value is sent. The default 30-second timeout can be configured on the Amazon ECS container agent with the ECS_CONTAINER_STOP_TIMEOUT variable. For more information, see Amazon ECS Container Agent Configuration in the Amazon Elastic Container Service Developer Guide
Options
| Name | Description |
|---|---|
--cluster <string> | The short name or full Amazon Resource Name (ARN) of the cluster that hosts the task to stop. If you do not specify a cluster, the default cluster is assumed |
--task <string> | The task ID or full Amazon Resource Name (ARN) of the task to stop |
--reason <string> | An optional message specified when a task is stopped. For example, if you are using a custom scheduler, you can use this parameter to specify the reason for stopping the task here, and the message appears in subsequent DescribeTasks API operations on this task. Up to 255 characters are allowed in this message |
--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 |