/**
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
* SPDX-License-Identifier: Apache-2.0.
*/
#pragma once
#include Amazon Elastic
* Container Service (Amazon ECS) is a highly scalable, fast, container management
* service. It makes it easy to run, stop, and manage Docker containers. You can
* host your cluster on a serverless infrastructure that's managed by Amazon ECS by
* launching your services or tasks on Fargate. For more control, you can host your
* tasks on a cluster of Amazon Elastic Compute Cloud (Amazon EC2) or External
* (on-premises) instances that you manage. Amazon ECS makes it easy to
* launch and stop container-based applications with simple API calls. This makes
* it easy to get the state of your cluster from a centralized service, and gives
* you access to many familiar Amazon EC2 features. You can use Amazon ECS
* to schedule the placement of containers across your cluster based on your
* resource needs, isolation policies, and availability requirements. With Amazon
* ECS, you don't need to operate your own cluster management and configuration
* management systems. You also don't need to worry about scaling your management
* infrastructure. 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.See Also:
AWS
* API Reference
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 with the
* CreateCluster
action.
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.
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, see the UpdateService
* action.
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.
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.
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. This is done with an
* UpdateService operation. 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
* operation. 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.
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.
Disables an account setting for a specified user, role, or the root user for * an account.
Deletes one or more custom attributes from an Amazon ECS * resource.
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 the PutClusterCapacityProviders API 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
* PutClusterCapacityProviders or delete the cluster.
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.
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.
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 definition revision can still
* scale up or down by modifying the service's desired count.
You can't use
* a DELETE_IN_PROGRESS
task definition revision to run new tasks or
* create new services. You also can't update an existing service to reference a
* DELETE_IN_PROGRESS
task definition revision.
A task
* definition revision will stay in DELETE_IN_PROGRESS
status until
* all the associated tasks and services have been terminated.
When you
* delete all INACTIVE
task definition revisions, the task definition
* name is not displayed in the console and not returned in the API. If a task
* definition revisions are in the DELETE_IN_PROGRESS
state, the task
* definition name is displayed in the console and returned in the API. The task
* definition name is retained by Amazon ECS and the revision is incremented the
* next time you create a task definition with that name.
Deletes a specified task set within a 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.
Deregisters an Amazon ECS container instance from the specified cluster. This * instance is no longer available to run tasks.
If you intend to use the * container instance for some other purpose after deregistration, we recommend * that you stop all of the tasks running on the container instance before * deregistration. That prevents any orphaned tasks from consuming resources.
*Deregistering a container instance removes the instance from a cluster, but * it doesn't terminate the EC2 instance. If you are finished using the instance, * be sure to terminate it in the Amazon EC2 console to stop billing.
*If you terminate a running container instance, Amazon ECS automatically * deregisters the instance from your cluster (stopped container instances or * instances with disconnected agents aren't automatically deregistered when * terminated).
Deregisters the specified task definition by family and revision. Upon
* deregistration, the task definition is marked as INACTIVE
. Existing
* tasks and services that reference an INACTIVE
task definition
* continue to run without disruption. Existing services that reference an
* INACTIVE
task definition can still scale up or down by modifying
* the service's desired count. If you want to delete a task definition revision,
* you must first deregister the task definition revision.
You can't use an
* INACTIVE
task definition to run new tasks or create new services,
* and you can't update an existing service to reference an INACTIVE
* task definition. However, there may be up to a 10-minute window following
* deregistration where these restrictions have not yet taken effect.
At this time, INACTIVE
task definitions remain discoverable in
* your account indefinitely. However, this behavior is subject to change in the
* future. We don't recommend that you rely on INACTIVE
task
* definitions persisting beyond the lifecycle of any associated tasks and
* services.
You must deregister a task definition revision before * you delete it. For more information, see DeleteTaskDefinitions.
Describes one or more of your capacity providers.
Describes one or more of your clusters.
Describes one or more container instances. Returns metadata about each * container instance requested.
Describes the specified services running in your cluster.
Describes a task definition. You can specify a family
and
* revision
to find information about a specific task definition, or
* you can simply specify the family to find the latest ACTIVE
* revision in that family.
You can only describe
* INACTIVE
task definitions while an active task or service
* references them.
Describes the task sets 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.
Describes a specified task or tasks.
Currently, stopped tasks appear * in the returned results for at least one hour.
This action is only used by the Amazon ECS agent, and it is not * intended for use outside of the agent.
Returns an endpoint for * the Amazon ECS agent to poll for updates.
Runs a command remotely on a container within a task.
If you use a
* condition key in your IAM policy to refine the conditions for the policy
* statement, for example limit the actions to a specific cluster, you receive an
* AccessDeniedException
when there is a mismatch between the
* condition key value and the corresponding parameter value.
For * information about required permissions and considerations, see Using * Amazon ECS Exec for debugging in the Amazon ECS Developer Guide. *
Retrieves the protection status of tasks in an Amazon ECS * service.
Lists the account settings for a specified principal.
Lists the attributes for Amazon ECS resources within a specified target type
* and cluster. When you specify a target type and cluster,
* ListAttributes
returns a list of attribute objects, one for each
* attribute on each resource. You can filter the list of results to a single
* attribute name to only return results that have that name. You can also filter
* the results by attribute name and value. You can do this, for example, to see
* which container instances in a cluster are running a Linux AMI
* (ecs.os-type=linux
).
Returns a list of existing clusters.
Returns a list of container instances in a specified cluster. You can filter
* the results of a ListContainerInstances
operation with cluster
* query language statements inside the filter
parameter. For more
* information, see Cluster
* Query Language in the Amazon Elastic Container Service Developer
* Guide.
Returns a list of services. You can filter the results by cluster, launch * type, and scheduling strategy.
This operation lists all of the services that are associated with a Cloud Map
* namespace. This list might include services in different clusters. In contrast,
* ListServices
can only list services in one cluster at a time. If
* you need to filter the list of services in a single cluster by various
* parameters, use ListServices
. For more information, see Service
* Connect in the Amazon Elastic Container Service Developer
* Guide.
List the tags for an Amazon ECS resource.
Returns a list of task definition families that are registered to your
* account. This list includes task definition families that no longer have any
* ACTIVE
task definition revisions.
You can filter out task
* definition families that don't contain any ACTIVE
task definition
* revisions by setting the status
parameter to ACTIVE
.
* You can also filter the results with the familyPrefix
* parameter.
Returns a list of task definitions that are registered to your account. You
* can filter the results by family name with the familyPrefix
* parameter or by status with the status
parameter.
Returns a list of tasks. You can filter the results by cluster, task * definition family, container instance, launch type, what IAM principal started * the task, or by the desired status of the task.
Recently stopped tasks * might appear in the returned results. Currently, stopped tasks appear in the * returned results for at least one hour.
Modifies an account setting. Account settings are set on a per-Region * basis.
If you change the root user account setting, the default settings * are reset for users and roles that do not have specified individual account * settings. For more information, see Account * Settings in the Amazon Elastic Container Service Developer Guide.
*When serviceLongArnFormat
, taskLongArnFormat
, or
* containerInstanceLongArnFormat
are specified, the Amazon Resource
* Name (ARN) and resource ID format of the resource type for a specified user,
* role, or the root user for an account is affected. The opt-in and opt-out
* account setting must be set for each Amazon ECS resource separately. The ARN and
* resource ID format of a resource is defined by the opt-in status of the user or
* role that created the resource. You must turn on this setting to use Amazon ECS
* features such as resource tagging.
When awsvpcTrunking
is
* specified, the elastic network interface (ENI) limit for any new container
* instances that support the feature is changed. If awsvpcTrunking
is
* turned on, any new container instances that support the feature are launched
* have the increased ENI limits available to them. For more information, see Elastic
* Network Interface Trunking in the Amazon Elastic Container Service
* Developer Guide.
When containerInsights
is specified,
* the default setting indicating whether Amazon Web Services CloudWatch Container
* Insights is turned on for your clusters is changed. If
* containerInsights
is turned on, any new clusters that are created
* will have Container Insights turned on unless you disable it during cluster
* creation. For more information, see CloudWatch
* Container Insights in the Amazon Elastic Container Service Developer
* Guide.
Amazon ECS is introducing tagging authorization for resource
* creation. Users must have permissions for actions that create the resource, such
* as ecsCreateCluster
. If tags are specified when you create a
* resource, Amazon Web Services performs additional authorization to verify if
* users or roles have permissions to create tags. Therefore, you must grant
* explicit permissions to use the ecs:TagResource
action. For more
* information, see Grant
* permission to tag resources on creation in the Amazon ECS Developer
* Guide.
Modifies an account setting for all users on an account for whom no * individual account setting has been specified. Account settings are set on a * per-Region basis.
Create or update an attribute on an Amazon ECS resource. If the attribute * doesn't exist, it's created. If the attribute exists, its value is replaced with * the specified value. To delete an attribute, use DeleteAttributes. For * more information, see Attributes * in the Amazon Elastic Container Service Developer Guide.
Modifies the available capacity providers and the default capacity provider * strategy for a cluster.
You must specify both the available capacity * providers and a default capacity provider strategy for the cluster. If the * specified cluster has existing capacity providers associated with it, you must * specify all existing capacity providers in addition to any new ones you want to * add. Any existing capacity providers that are associated with a cluster that are * omitted from a PutClusterCapacityProviders API call will be disassociated * with the cluster. You can only disassociate an existing capacity provider from a * cluster if it's not being used by any existing tasks.
When creating a
* service or running a task on a cluster, if no capacity provider or launch type
* is specified, then the cluster's default capacity provider strategy is used. We
* recommend that you define a default capacity provider strategy for your cluster.
* However, you must specify an empty array ([]
) to bypass defining a
* default strategy.
This action is only used by the Amazon ECS agent, and it is not * intended for use outside of the agent.
Registers an EC2 instance * into the specified cluster. This instance becomes available to place containers * on.
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 a role for your task with the
* taskRoleArn
parameter. When you specify a role for a task, its
* containers can then use the latest versions of the CLI or SDKs to make API
* requests to the Amazon Web Services services that are specified in the policy
* that's 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.
Starts a new task using the specified task definition.
You can allow * Amazon ECS to place tasks for you, or you can customize how Amazon ECS places * tasks using placement constraints and placement strategies. For more * information, see Scheduling * Tasks in the Amazon Elastic Container Service Developer Guide.
*Alternatively, you can use StartTask to use your own scheduler or * place tasks manually on specific container instances.
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.
The * Amazon ECS API follows an eventual consistency model. This is because of the * distributed nature of the system supporting the API. This means that the result * of an API command you run that affects your Amazon ECS resources might not be * immediately visible to all subsequent commands you run. Keep this in mind when * you carry out an API command that immediately follows a previous API * command.
To manage eventual consistency, you can do the following:
*Confirm the state of the resource before you run a command to * modify it. Run the DescribeTasks command using an exponential backoff algorithm * to ensure that you allow enough time for the previous command to propagate * through the system. To do this, run the DescribeTasks command repeatedly, * starting with a couple of seconds of wait time and increasing gradually up to * five minutes of wait time.
Add wait time between subsequent * commands, even if the DescribeTasks command returns an accurate response. Apply * an exponential backoff algorithm starting with a couple of seconds of wait time, * and increase gradually up to about five minutes of wait time.
Starts a new task from the specified task definition on the specified * container instance or instances.
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.
Alternatively, you can use * RunTask to place tasks for you. For more information, see Scheduling * Tasks in the Amazon Elastic Container Service Developer * Guide.
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.
This action is only used by the Amazon ECS agent, and it is not * intended for use outside of the agent.
Sent to acknowledge that * an attachment changed states.
This action is only used by the Amazon ECS agent, and it is not * intended for use outside of the agent.
Sent to acknowledge that a * container changed states.
This action is only used by the Amazon ECS agent, and it is not * intended for use outside of the agent.
Sent to acknowledge that a * task changed states.
Associates the specified tags to a resource with the specified
* resourceArn
. If existing tags on a resource aren't specified in the
* request parameters, they aren't changed. When a resource is deleted, the tags
* that are associated with that resource are deleted as well.
Deletes specified tags from a resource.
Modifies the parameters for a capacity provider.
Updates the cluster.
Modifies the settings to use for a cluster.
Updates the Amazon ECS container agent on a specified container instance. * Updating the Amazon ECS container agent doesn't interrupt running tasks or * services on the container instance. The process for updating the agent differs * depending on whether your container instance was launched with the Amazon * ECS-optimized AMI or another operating system.
The
* UpdateContainerAgent
API isn't supported for container instances
* using the Amazon ECS-optimized Amazon Linux 2 (arm64) AMI. To update the
* container agent, you can update the ecs-init
package. This updates
* the agent. For more information, see Updating
* the Amazon ECS container agent in the Amazon Elastic Container Service
* Developer Guide.
Agent updates with the
* UpdateContainerAgent
API operation do not apply to Windows
* container instances. We recommend that you launch new container instances to
* update the agent version in your Windows clusters.
The
* UpdateContainerAgent
API requires an Amazon ECS-optimized AMI or
* Amazon Linux AMI with the ecs-init
service installed and running.
* For help updating the Amazon ECS container agent on other operating systems, see
* Manually
* updating the Amazon ECS container agent in the Amazon Elastic Container
* Service Developer Guide.
Modifies the status of an Amazon ECS container instance.
Once a
* container instance has reached an ACTIVE
state, you can change the
* status of a container instance to DRAINING
to manually remove an
* instance from a cluster, for example to perform system updates, update the
* Docker daemon, or scale down the cluster size.
A container
* instance can't be changed to DRAINING
until it has reached an
* ACTIVE
status. If the instance is in any other status, an error
* will be received.
When you set a container instance to
* DRAINING
, Amazon ECS prevents new tasks from being scheduled for
* placement on the container instance and replacement service tasks are started on
* other container instances in the cluster if the resources are available. Service
* tasks on the container instance that are in the PENDING
state are
* stopped immediately.
Service tasks on the container instance that are in
* the RUNNING
state are stopped and replaced according to the
* service's deployment configuration parameters,
* minimumHealthyPercent
and maximumPercent
. You can
* change the deployment configuration of your service using
* UpdateService.
If minimumHealthyPercent
is
* below 100%, the scheduler can ignore desiredCount
temporarily
* during task replacement. For example, desiredCount
is four tasks, a
* minimum of 50% allows the scheduler to stop two existing tasks before starting
* two new tasks. If the minimum is 100%, the service scheduler can't remove
* existing tasks until the replacement tasks are considered healthy. Tasks for
* services that do not 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.
The
* maximumPercent
parameter represents an upper limit on the number of
* running tasks during task replacement. You can use this to define the
* replacement batch size. For example, if desiredCount
is four tasks,
* a maximum of 200% starts four new tasks before stopping the four tasks to be
* drained, provided that the cluster resources required to do this are available.
* If the maximum is 100%, then replacement tasks can't start until the draining
* tasks have stopped.
Any PENDING
or
* RUNNING
tasks that do not belong to a service aren't affected. You
* must wait for them to finish or stop them manually.
A container instance
* has completed draining when it has no more RUNNING
tasks. You can
* verify this using ListTasks.
When a container instance has been
* drained, you can set a container instance to ACTIVE
status and once
* it has reached that status the Amazon ECS scheduler can begin scheduling tasks
* on the instance again.
Modifies the parameters of a service.
For services using the rolling
* update (ECS
) you can update the desired count, deployment
* configuration, network configuration, load balancers, service registries, enable
* ECS managed tags option, propagate tags option, task placement constraints and
* strategies, and task definition. When you update any of these parameters, Amazon
* ECS starts new tasks with the new configuration.
For services using the
* blue/green (CODE_DEPLOY
) deployment controller, only the desired
* count, deployment configuration, health check grace period, task placement
* constraints and strategies, enable ECS managed tags option, and propagate tags
* can be updated using this API. If the network configuration, platform version,
* task definition, or load balancer need to be updated, create a new CodeDeploy
* deployment. For more information, see CreateDeployment
* in the CodeDeploy API Reference.
For services using an external * deployment controller, you can update only the desired count, task placement * constraints and strategies, health check grace period, enable ECS managed tags * option, and propagate tags option, using this API. If the launch type, load * balancer, network configuration, platform version, or task definition need to be * updated, create a new task set For more information, see * CreateTaskSet.
You can add to or subtract from the number of
* instantiations of a task definition in a service by specifying the cluster that
* the service is running in and a new desiredCount
parameter.
If you have updated the Docker image of your application, you can create a * new task definition with that image and deploy it to your service. The service * scheduler uses the minimum healthy percent and maximum percent parameters (in * the service's deployment configuration) to determine the deployment * strategy.
If your updated Docker image uses the same tag as what
* is in the existing task definition for your service (for example,
* my_image:latest
), you don't need to create a new revision of your
* task definition. You can update the service using the
* forceNewDeployment
option. The new tasks launched by the deployment
* pull the current image/tag combination from your repository when they start.
You can also update the deployment configuration of a service. When a
* deployment is triggered by updating the task definition of a service, the
* service scheduler uses the deployment configuration parameters,
* minimumHealthyPercent
and maximumPercent
, to determine
* the deployment strategy.
If minimumHealthyPercent
* is below 100%, the scheduler can ignore desiredCount
temporarily
* during a deployment. For example, if desiredCount
is four tasks, a
* minimum of 50% allows the scheduler to stop two existing tasks before starting
* two new tasks. 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.
The maximumPercent
parameter represents an upper
* limit on the number of running tasks during a deployment. You can use it to
* define the deployment batch size. For example, if desiredCount
is
* four tasks, a maximum of 200% starts four new tasks before stopping the four
* older tasks (provided that the cluster resources required to do this are
* available).
When UpdateService stops a task during a
* deployment, the equivalent of docker stop
is issued to the
* containers running in the task. This results in a SIGTERM
and a
* 30-second timeout. After this, SIGKILL
is sent and the containers
* are forcibly stopped. If the container handles the SIGTERM
* gracefully and exits within 30 seconds from receiving it, no
* SIGKILL
is sent.
When the service scheduler launches new * tasks, it determines task placement in your cluster with the following * logic.
Determine which of the container instances in your * cluster can support your service's task definition. For example, they have the * required CPU, memory, ports, and container instance attributes.
By default, the service scheduler attempts to balance tasks across * Availability Zones in this manner even though you can choose a different * placement strategy.
Sort the valid container instances by the * fewest number of running tasks for this service in the same Availability Zone as * the instance. For example, if zone A has one running service task and zones B * and C each have zero, valid container instances in either zone B or C are * considered optimal for placement.
Place the new service task * on a valid container instance in an optimal Availability Zone (based on the * previous steps), favoring container instances with the fewest number of running * tasks for this service.
When the service * scheduler stops running tasks, it attempts to maintain balance across the * Availability Zones in your cluster using the following logic:
Sort the container instances by the largest number of running tasks for this * service in the same Availability Zone as the instance. For example, if zone A * has one running service task and zones B and C each have two, container * instances in either zone B or C are considered optimal for termination.
*Stop the task on a container instance in an optimal Availability * Zone (based on the previous steps), favoring container instances with the * largest number of running tasks for this service.
You * must have a service-linked role when you update any of the following service * properties. If you specified a custom role when you created the service, Amazon * ECS automatically replaces the roleARN * associated with the service with the ARN of your service-linked role. For more * information, see Service-linked * roles in the Amazon Elastic Container Service Developer Guide.
* loadBalancers,
* serviceRegistries
Modifies which task set in a service is the primary task set. Any parameters
* that are updated on the primary task set in a service will transition to the
* 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.
Updates the protection status of a task. You can set
* protectionEnabled
to true
to protect your task from
* termination during scale-in events from Service
* Autoscaling or deployments.
Task-protection, by default, expires after 2 hours at which point Amazon ECS
* clears the protectionEnabled
property making the task eligible for
* termination by a subsequent scale-in event.
You can specify a custom
* expiration period for task protection from 1 minute to up to 2,880 minutes (48
* hours). To specify the custom expiration period, set the
* expiresInMinutes
property. The expiresInMinutes
* property is always reset when you invoke this operation for a task that already
* has protectionEnabled
set to true
. You can keep
* extending the protection expiration period of a task by invoking this operation
* repeatedly.
To learn more about Amazon ECS task protection, see Task * scale-in protection in the Amazon Elastic Container Service Developer * Guide .
This operation is only supported for tasks
* belonging to an Amazon ECS service. Invoking this operation for a standalone
* task will result in an TASK_NOT_VALID
failure. For more
* information, see API
* failure reasons.
If you prefer to set task * protection from within the container, we recommend using the Task * scale-in protection endpoint.
Modifies a task set. 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.