amazon-ec2-container-service — quality + safety report

---
name: amazon-ec2-container-service
description: "Amazon EC2 Container Service API skill. Use when working with Amazon EC2 Container Service for root. Covers 56 endpoints."
version: 1.0.0
generator: lapsh
---

# Amazon EC2 Container Service
API version: 2014-11-13

## Auth
AWS SigV4

## Base URL
Not specified.

## Setup
1. Configure auth: AWS SigV4
3. POST / -- create first resource

## Endpoints

56 endpoints across 1 groups. See references/api-spec.lap for full details.

### root
| Method | Path | Description |
|--------|------|-------------|
| POST | / | Creates a new capacity provider. Capacity providers are associated with an Amazon ECS cluster and are used in capacity provider strategies to facilitate cluster auto scaling. Only capacity providers that use an Auto Scaling group can be created. Amazon ECS tasks on Fargate use the FARGATE and FARGATE_SPOT capacity providers. These providers are available to all accounts in the Amazon Web Services Regions that Fargate supports. |
| POST | / | Creates a new Amazon ECS cluster. By default, your account receives a default cluster when you launch your first container instance. However, you can create your own cluster with a unique name.  When you call the CreateCluster API operation, Amazon ECS attempts to create the Amazon ECS service-linked role for your account. This is so that it can manage required resources in other Amazon Web Services services on your behalf. However, if the user that makes the call doesn't have permissions to create the service-linked role, it isn't created. For more information, see Using service-linked roles for Amazon ECS in the Amazon Elastic Container Service Developer Guide. |
| POST | / | Runs and maintains your desired number of tasks from a specified task definition. If the number of tasks running in a service drops below the desiredCount, Amazon ECS runs another copy of the task in the specified cluster. To update an existing service, use UpdateService.  On March 21, 2024, a change was made to resolve the task definition revision before authorization. When a task definition revision is not specified, authorization will occur using the latest revision of a task definition.  In addition to maintaining the desired count of tasks in your service, you can optionally run your service behind one or more load balancers. The load balancers distribute traffic across the tasks that are associated with the service. For more information, see Service load balancing in the Amazon Elastic Container Service Developer Guide. You can attach Amazon EBS volumes to Amazon ECS tasks by configuring the volume when creating or updating a service. volumeConfigurations is only supported for REPLICA service and not DAEMON service. For more infomation, see Amazon EBS volumes in the Amazon Elastic Container Service Developer Guide. Tasks for services that don't use a load balancer are considered healthy if they're in the RUNNING state. Tasks for services that use a load balancer are considered healthy if they're in the RUNNING state and are reported as healthy by the load balancer. There are two service scheduler strategies available:    REPLICA - The replica scheduling strategy places and maintains your desired number of tasks across your cluster. By default, the service scheduler spreads tasks across Availability Zones. You can use task placement strategies and constraints to customize task placement decisions. For more information, see Service scheduler concepts in the Amazon Elastic Container Service Developer Guide.    DAEMON - The daemon scheduling strategy deploys exactly one task on each active container instance that meets all of the task placement constraints that you specify in your cluster. The service scheduler also evaluates the task placement constraints for running tasks. It also stops tasks that don't meet the placement constraints. When using this strategy, you don't need to specify a desired number of tasks, a task placement strategy, or use Service Auto Scaling policies. For more information, see Service scheduler concepts in the Amazon Elastic Container Service Developer Guide.   You can optionally specify a deployment configuration for your service. The deployment is initiated by changing properties. For example, the deployment might be initiated by the task definition or by your desired count of a service. You can use UpdateService. The default value for a replica service for minimumHealthyPercent is 100%. The default value for a daemon service for minimumHealthyPercent is 0%. If a service uses the ECS deployment controller, the minimum healthy percent represents a lower limit on the number of tasks in a service that must remain in the RUNNING state during a deployment. Specifically, it represents it as a percentage of your desired number of tasks (rounded up to the nearest integer). This happens when any of your container instances are in the DRAINING state if the service contains tasks using the EC2 launch type. Using this parameter, you can deploy without using additional cluster capacity. For example, if you set your service to have desired number of four tasks and a minimum healthy percent of 50%, the scheduler might stop two existing tasks to free up cluster capacity before starting two new tasks. If they're in the RUNNING state, tasks for services that don't use a load balancer are considered healthy . If they're in the RUNNING state and reported as healthy by the load balancer, tasks for services that do use a load balancer are considered healthy . The default value for minimum healthy percent is 100%. If a service uses the ECS deployment controller, the maximum percent parameter represents an upper limit on the number of tasks in a service that are allowed in the RUNNING or PENDING state during a deployment. Specifically, it represents it as a percentage of the desired number of tasks (rounded down to the nearest integer). This happens when any of your container instances are in the DRAINING state if the service contains tasks using the EC2 launch type. Using this parameter, you can define the deployment batch size. For example, if your service has a desired number of four tasks and a maximum percent value of 200%, the scheduler may start four new tasks before stopping the four older tasks (provided that the cluster resources required to do this are available). The default value for maximum percent is 200%. If a service uses either the CODE_DEPLOY or EXTERNAL deployment controller types and tasks that use the EC2 launch type, the minimum healthy percent and maximum percent values are used only to define the lower and upper limit on the number of the tasks in the service that remain in the RUNNING state. This is while the container instances are in the DRAINING state. If the tasks in the service use the Fargate launch type, the minimum healthy percent and maximum percent values aren't used. This is the case even if they're currently visible when describing your service. When creating a service that uses the EXTERNAL deployment controller, you can specify only parameters that aren't controlled at the task set level. The only required parameter is the service name. You control your services using the CreateTaskSet. For more information, see Amazon ECS deployment types in the Amazon Elastic Container Service Developer Guide. When the service scheduler launches new tasks, it determines task placement. For information about task placement and task placement strategies, see Amazon ECS task placement in the Amazon Elastic Container Service Developer Guide  Starting April 15, 2023, Amazon Web Services will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service. |
| POST | / | Create a task set in the specified cluster and service. This is used when a service uses the EXTERNAL deployment controller type. For more information, see Amazon ECS deployment types in the Amazon Elastic Container Service Developer Guide.  On March 21, 2024, a change was made to resolve the task definition revision before authorization. When a task definition revision is not specified, authorization will occur using the latest revision of a task definition.  For information about the maximum number of task sets and other quotas, see Amazon ECS service quotas in the Amazon Elastic Container Service Developer Guide. |
| POST | / | Disables an account setting for a specified user, role, or the root user for an account. |
| POST | / | Deletes one or more custom attributes from an Amazon ECS resource. |
| POST | / | Deletes the specified capacity provider.  The FARGATE and FARGATE_SPOT capacity providers are reserved and can't be deleted. You can disassociate them from a cluster using either PutCapacityProviderProviders or by deleting the cluster.  Prior to a capacity provider being deleted, the capacity provider must be removed from the capacity provider strategy from all services. The UpdateService API can be used to remove a capacity provider from a service's capacity provider strategy. When updating a service, the forceNewDeployment option can be used to ensure that any tasks using the Amazon EC2 instance capacity provided by the capacity provider are transitioned to use the capacity from the remaining capacity providers. Only capacity providers that aren't associated with a cluster can be deleted. To remove a capacity provider from a cluster, you can either use PutCapacityProviderProviders or delete the cluster. |
| POST | / | Deletes the specified cluster. The cluster transitions to the INACTIVE state. Clusters with an INACTIVE status might remain discoverable in your account for a period of time. However, this behavior is subject to change in the future. We don't recommend that you rely on INACTIVE clusters persisting. You must deregister all container instances from this cluster before you may delete it. You can list the container instances in a cluster with ListContainerInstances and deregister them with DeregisterContainerInstance. |
| POST | / | Deletes a specified service within a cluster. You can delete a service if you have no running tasks in it and the desired task count is zero. If the service is actively maintaining tasks, you can't delete it, and you must update the service to a desired task count of zero. For more information, see UpdateService.  When you delete a service, if there are still running tasks that require cleanup, the service status moves from ACTIVE to DRAINING, and the service is no longer visible in the console or in the ListServices API operation. After all tasks have transitioned to either STOPPING or STOPPED status, the service status moves from DRAINING to INACTIVE. Services in the DRAINING or INACTIVE status can still be viewed with the DescribeServices API operation. However, in the future, INACTIVE services may be cleaned up and purged from Amazon ECS record keeping, and DescribeServices calls on those services return a ServiceNotFoundException error.   If you attempt to create a new service with the same name as an existing service in either ACTIVE or DRAINING status, you receive an error. |
| POST | / | Deletes one or more task definitions. You must deregister a task definition revision before you delete it. For more information, see DeregisterTaskDefinition. When you delete a task definition revision, it is immediately transitions from the INACTIVE to DELETE_IN_PROGRESS. Existing tasks and services that reference a DELETE_IN_PROGRESS task definition revision continue to run without disruption. Existing services that reference a DELETE_IN_PROGRESS task defin

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