@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonECSAsync extends AbstractAmazonECS implements AmazonECSAsync
AmazonECSAsync. Convenient method forms pass through to the corresponding overload
that takes a request object and an AsyncHandler, which throws an UnsupportedOperationException.ENDPOINT_PREFIX| Modifier | Constructor and Description |
|---|---|
protected |
AbstractAmazonECSAsync() |
createCluster, createCluster, createService, deleteAttributes, deleteCluster, deleteService, deregisterContainerInstance, deregisterTaskDefinition, describeClusters, describeClusters, describeContainerInstances, describeServices, describeTaskDefinition, describeTasks, discoverPollEndpoint, discoverPollEndpoint, getCachedResponseMetadata, listAttributes, listClusters, listClusters, listContainerInstances, listContainerInstances, listServices, listServices, listTaskDefinitionFamilies, listTaskDefinitionFamilies, listTaskDefinitions, listTaskDefinitions, listTasks, listTasks, putAttributes, registerContainerInstance, registerTaskDefinition, runTask, setEndpoint, setRegion, shutdown, startTask, stopTask, submitContainerStateChange, submitContainerStateChange, submitTaskStateChange, updateContainerAgent, updateContainerInstancesState, updateService, waitersclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitcreateCluster, createCluster, createService, deleteAttributes, deleteCluster, deleteService, deregisterContainerInstance, deregisterTaskDefinition, describeClusters, describeClusters, describeContainerInstances, describeServices, describeTaskDefinition, describeTasks, discoverPollEndpoint, discoverPollEndpoint, getCachedResponseMetadata, listAttributes, listClusters, listClusters, listContainerInstances, listContainerInstances, listServices, listServices, listTaskDefinitionFamilies, listTaskDefinitionFamilies, listTaskDefinitions, listTaskDefinitions, listTasks, listTasks, putAttributes, registerContainerInstance, registerTaskDefinition, runTask, setEndpoint, setRegion, shutdown, startTask, stopTask, submitContainerStateChange, submitContainerStateChange, submitTaskStateChange, updateContainerAgent, updateContainerInstancesState, updateService, waiterspublic Future<CreateClusterResult> createClusterAsync(CreateClusterRequest request)
AmazonECSAsync
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 service-linked role for your account so that required resources in other AWS services can be managed on your behalf. However, if the IAM user that makes the call does not have permissions to create the service-linked role, it is not created. For more information, see Using Service-Linked Roles for Amazon ECS in the Amazon Elastic Container Service Developer Guide.
createClusterAsync in interface AmazonECSAsyncpublic Future<CreateClusterResult> createClusterAsync(CreateClusterRequest request, AsyncHandler<CreateClusterRequest,CreateClusterResult> asyncHandler)
AmazonECSAsync
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 service-linked role for your account so that required resources in other AWS services can be managed on your behalf. However, if the IAM user that makes the call does not have permissions to create the service-linked role, it is not created. For more information, see Using Service-Linked Roles for Amazon ECS in the Amazon Elastic Container Service Developer Guide.
createClusterAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateClusterResult> createClusterAsync()
createClusterAsync in interface AmazonECSAsynccreateClusterAsync(CreateClusterRequest)public Future<CreateClusterResult> createClusterAsync(AsyncHandler<CreateClusterRequest,CreateClusterResult> asyncHandler)
createClusterAsync in interface AmazonECSAsynccreateClusterAsync(CreateClusterRequest, com.amazonaws.handlers.AsyncHandler)public Future<CreateServiceResult> createServiceAsync(CreateServiceRequest request)
AmazonECSAsync
Runs and maintains a desired number of tasks from a specified task definition. If the number of tasks running in
a service drops below desiredCount, Amazon ECS spawns another copy of the task in the specified
cluster. To update an existing service, see UpdateService.
In addition to maintaining the desired count of tasks in your service, you can optionally run your service behind a load balancer. The load balancer distributes 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 optionally specify a deployment configuration for your service. During a deployment, the service
scheduler uses the minimumHealthyPercent and maximumPercent parameters to determine the
deployment strategy. The deployment is triggered by changing the task definition or the desired count of a
service with an UpdateService operation.
The minimumHealthyPercent represents a lower limit on the number of your service's tasks that must
remain in the RUNNING state during a deployment, as a percentage of the desiredCount
(rounded up to the nearest integer). This parameter enables you to deploy without using additional cluster
capacity. For example, if your service has a desiredCount of four tasks and a
minimumHealthyPercent of 50%, the scheduler can stop two existing tasks to free up cluster capacity
before starting two new tasks. Tasks for services that do not use a load balancer are considered healthy
if they are in the RUNNING state. Tasks for services that do use a load balancer are
considered healthy if they are in the RUNNING state and the container instance they are hosted on is
reported as healthy by the load balancer. The default value for minimumHealthyPercent is 50% in the
console and 100% for the AWS CLI, the AWS SDKs, and the APIs.
The maximumPercent parameter represents an upper limit on the number of your service's tasks that
are allowed in the RUNNING or PENDING state during a deployment, as a percentage of the
desiredCount (rounded down to the nearest integer). This parameter enables you to define the
deployment batch size. For example, if your service has a desiredCount of four tasks and a
maximumPercent value of 200%, the scheduler can 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
maximumPercent is 200%.
When the service scheduler launches new tasks, it determines task placement in your cluster using 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 (although
you can choose a different placement strategy) with the placementStrategy parameter):
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.
createServiceAsync in interface AmazonECSAsyncpublic Future<CreateServiceResult> createServiceAsync(CreateServiceRequest request, AsyncHandler<CreateServiceRequest,CreateServiceResult> asyncHandler)
AmazonECSAsync
Runs and maintains a desired number of tasks from a specified task definition. If the number of tasks running in
a service drops below desiredCount, Amazon ECS spawns another copy of the task in the specified
cluster. To update an existing service, see UpdateService.
In addition to maintaining the desired count of tasks in your service, you can optionally run your service behind a load balancer. The load balancer distributes 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 optionally specify a deployment configuration for your service. During a deployment, the service
scheduler uses the minimumHealthyPercent and maximumPercent parameters to determine the
deployment strategy. The deployment is triggered by changing the task definition or the desired count of a
service with an UpdateService operation.
The minimumHealthyPercent represents a lower limit on the number of your service's tasks that must
remain in the RUNNING state during a deployment, as a percentage of the desiredCount
(rounded up to the nearest integer). This parameter enables you to deploy without using additional cluster
capacity. For example, if your service has a desiredCount of four tasks and a
minimumHealthyPercent of 50%, the scheduler can stop two existing tasks to free up cluster capacity
before starting two new tasks. Tasks for services that do not use a load balancer are considered healthy
if they are in the RUNNING state. Tasks for services that do use a load balancer are
considered healthy if they are in the RUNNING state and the container instance they are hosted on is
reported as healthy by the load balancer. The default value for minimumHealthyPercent is 50% in the
console and 100% for the AWS CLI, the AWS SDKs, and the APIs.
The maximumPercent parameter represents an upper limit on the number of your service's tasks that
are allowed in the RUNNING or PENDING state during a deployment, as a percentage of the
desiredCount (rounded down to the nearest integer). This parameter enables you to define the
deployment batch size. For example, if your service has a desiredCount of four tasks and a
maximumPercent value of 200%, the scheduler can 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
maximumPercent is 200%.
When the service scheduler launches new tasks, it determines task placement in your cluster using 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 (although
you can choose a different placement strategy) with the placementStrategy parameter):
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.
createServiceAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAttributesResult> deleteAttributesAsync(DeleteAttributesRequest request)
AmazonECSAsyncDeletes one or more custom attributes from an Amazon ECS resource.
deleteAttributesAsync in interface AmazonECSAsyncpublic Future<DeleteAttributesResult> deleteAttributesAsync(DeleteAttributesRequest request, AsyncHandler<DeleteAttributesRequest,DeleteAttributesResult> asyncHandler)
AmazonECSAsyncDeletes one or more custom attributes from an Amazon ECS resource.
deleteAttributesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteClusterResult> deleteClusterAsync(DeleteClusterRequest request)
AmazonECSAsyncDeletes the specified cluster. 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.
deleteClusterAsync in interface AmazonECSAsyncpublic Future<DeleteClusterResult> deleteClusterAsync(DeleteClusterRequest request, AsyncHandler<DeleteClusterRequest,DeleteClusterResult> asyncHandler)
AmazonECSAsyncDeletes the specified cluster. 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.
deleteClusterAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteServiceResult> deleteServiceAsync(DeleteServiceRequest request)
AmazonECSAsyncDeletes 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 cannot 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
ListServices API operations. After the tasks have stopped, then the service status moves from
DRAINING to INACTIVE. Services in the DRAINING or INACTIVE
status can still be viewed with DescribeServices API operations. However, in the future,
INACTIVE services may be cleaned up and purged from Amazon ECS record keeping, and
DescribeServices API operations on those services return a ServiceNotFoundException error.
deleteServiceAsync in interface AmazonECSAsyncpublic Future<DeleteServiceResult> deleteServiceAsync(DeleteServiceRequest request, AsyncHandler<DeleteServiceRequest,DeleteServiceResult> asyncHandler)
AmazonECSAsyncDeletes 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 cannot 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
ListServices API operations. After the tasks have stopped, then the service status moves from
DRAINING to INACTIVE. Services in the DRAINING or INACTIVE
status can still be viewed with DescribeServices API operations. However, in the future,
INACTIVE services may be cleaned up and purged from Amazon ECS record keeping, and
DescribeServices API operations on those services return a ServiceNotFoundException error.
deleteServiceAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeregisterContainerInstanceResult> deregisterContainerInstanceAsync(DeregisterContainerInstanceRequest request)
AmazonECSAsyncDeregisters 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, you should 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 does not 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 are not automatically deregistered when terminated).
deregisterContainerInstanceAsync in interface AmazonECSAsyncpublic Future<DeregisterContainerInstanceResult> deregisterContainerInstanceAsync(DeregisterContainerInstanceRequest request, AsyncHandler<DeregisterContainerInstanceRequest,DeregisterContainerInstanceResult> asyncHandler)
AmazonECSAsyncDeregisters 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, you should 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 does not 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 are not automatically deregistered when terminated).
deregisterContainerInstanceAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeregisterTaskDefinitionResult> deregisterTaskDefinitionAsync(DeregisterTaskDefinitionRequest request)
AmazonECSAsync
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.
You cannot use an INACTIVE task definition to run new tasks or create new services, and you cannot
update an existing service to reference an INACTIVE task definition (although 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, so you should not rely on INACTIVE task
definitions persisting beyond the lifecycle of any associated tasks and services.
deregisterTaskDefinitionAsync in interface AmazonECSAsyncpublic Future<DeregisterTaskDefinitionResult> deregisterTaskDefinitionAsync(DeregisterTaskDefinitionRequest request, AsyncHandler<DeregisterTaskDefinitionRequest,DeregisterTaskDefinitionResult> asyncHandler)
AmazonECSAsync
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.
You cannot use an INACTIVE task definition to run new tasks or create new services, and you cannot
update an existing service to reference an INACTIVE task definition (although 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, so you should not rely on INACTIVE task
definitions persisting beyond the lifecycle of any associated tasks and services.
deregisterTaskDefinitionAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeClustersResult> describeClustersAsync(DescribeClustersRequest request)
AmazonECSAsyncDescribes one or more of your clusters.
describeClustersAsync in interface AmazonECSAsyncpublic Future<DescribeClustersResult> describeClustersAsync(DescribeClustersRequest request, AsyncHandler<DescribeClustersRequest,DescribeClustersResult> asyncHandler)
AmazonECSAsyncDescribes one or more of your clusters.
describeClustersAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeClustersResult> describeClustersAsync()
describeClustersAsync in interface AmazonECSAsyncdescribeClustersAsync(DescribeClustersRequest)public Future<DescribeClustersResult> describeClustersAsync(AsyncHandler<DescribeClustersRequest,DescribeClustersResult> asyncHandler)
describeClustersAsync in interface AmazonECSAsyncdescribeClustersAsync(DescribeClustersRequest, com.amazonaws.handlers.AsyncHandler)public Future<DescribeContainerInstancesResult> describeContainerInstancesAsync(DescribeContainerInstancesRequest request)
AmazonECSAsyncDescribes Amazon Elastic Container Service container instances. Returns metadata about registered and remaining resources on each container instance requested.
describeContainerInstancesAsync in interface AmazonECSAsyncpublic Future<DescribeContainerInstancesResult> describeContainerInstancesAsync(DescribeContainerInstancesRequest request, AsyncHandler<DescribeContainerInstancesRequest,DescribeContainerInstancesResult> asyncHandler)
AmazonECSAsyncDescribes Amazon Elastic Container Service container instances. Returns metadata about registered and remaining resources on each container instance requested.
describeContainerInstancesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeServicesResult> describeServicesAsync(DescribeServicesRequest request)
AmazonECSAsyncDescribes the specified services running in your cluster.
describeServicesAsync in interface AmazonECSAsyncpublic Future<DescribeServicesResult> describeServicesAsync(DescribeServicesRequest request, AsyncHandler<DescribeServicesRequest,DescribeServicesResult> asyncHandler)
AmazonECSAsyncDescribes the specified services running in your cluster.
describeServicesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTaskDefinitionResult> describeTaskDefinitionAsync(DescribeTaskDefinitionRequest request)
AmazonECSAsync
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.
describeTaskDefinitionAsync in interface AmazonECSAsyncpublic Future<DescribeTaskDefinitionResult> describeTaskDefinitionAsync(DescribeTaskDefinitionRequest request, AsyncHandler<DescribeTaskDefinitionRequest,DescribeTaskDefinitionResult> asyncHandler)
AmazonECSAsync
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.
describeTaskDefinitionAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTasksResult> describeTasksAsync(DescribeTasksRequest request)
AmazonECSAsyncDescribes a specified task or tasks.
describeTasksAsync in interface AmazonECSAsyncpublic Future<DescribeTasksResult> describeTasksAsync(DescribeTasksRequest request, AsyncHandler<DescribeTasksRequest,DescribeTasksResult> asyncHandler)
AmazonECSAsyncDescribes a specified task or tasks.
describeTasksAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DiscoverPollEndpointResult> discoverPollEndpointAsync(DiscoverPollEndpointRequest request)
AmazonECSAsyncThis 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.
discoverPollEndpointAsync in interface AmazonECSAsyncpublic Future<DiscoverPollEndpointResult> discoverPollEndpointAsync(DiscoverPollEndpointRequest request, AsyncHandler<DiscoverPollEndpointRequest,DiscoverPollEndpointResult> asyncHandler)
AmazonECSAsyncThis 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.
discoverPollEndpointAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DiscoverPollEndpointResult> discoverPollEndpointAsync()
discoverPollEndpointAsync in interface AmazonECSAsyncdiscoverPollEndpointAsync(DiscoverPollEndpointRequest)public Future<DiscoverPollEndpointResult> discoverPollEndpointAsync(AsyncHandler<DiscoverPollEndpointRequest,DiscoverPollEndpointResult> asyncHandler)
discoverPollEndpointAsync in interface AmazonECSAsyncdiscoverPollEndpointAsync(DiscoverPollEndpointRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListAttributesResult> listAttributesAsync(ListAttributesRequest request)
AmazonECSAsync
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, for example, to see which container
instances in a cluster are running a Linux AMI (ecs.os-type=linux).
listAttributesAsync in interface AmazonECSAsyncpublic Future<ListAttributesResult> listAttributesAsync(ListAttributesRequest request, AsyncHandler<ListAttributesRequest,ListAttributesResult> asyncHandler)
AmazonECSAsync
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, for example, to see which container
instances in a cluster are running a Linux AMI (ecs.os-type=linux).
listAttributesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListClustersResult> listClustersAsync(ListClustersRequest request)
AmazonECSAsyncReturns a list of existing clusters.
listClustersAsync in interface AmazonECSAsyncpublic Future<ListClustersResult> listClustersAsync(ListClustersRequest request, AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
AmazonECSAsyncReturns a list of existing clusters.
listClustersAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListClustersResult> listClustersAsync()
listClustersAsync in interface AmazonECSAsynclistClustersAsync(ListClustersRequest)public Future<ListClustersResult> listClustersAsync(AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
listClustersAsync in interface AmazonECSAsynclistClustersAsync(ListClustersRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListContainerInstancesResult> listContainerInstancesAsync(ListContainerInstancesRequest request)
AmazonECSAsync
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.
listContainerInstancesAsync in interface AmazonECSAsyncpublic Future<ListContainerInstancesResult> listContainerInstancesAsync(ListContainerInstancesRequest request, AsyncHandler<ListContainerInstancesRequest,ListContainerInstancesResult> asyncHandler)
AmazonECSAsync
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.
listContainerInstancesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListContainerInstancesResult> listContainerInstancesAsync()
listContainerInstancesAsync in interface AmazonECSAsynclistContainerInstancesAsync(ListContainerInstancesRequest)public Future<ListContainerInstancesResult> listContainerInstancesAsync(AsyncHandler<ListContainerInstancesRequest,ListContainerInstancesResult> asyncHandler)
listContainerInstancesAsync in interface AmazonECSAsynclistContainerInstancesAsync(ListContainerInstancesRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListServicesResult> listServicesAsync(ListServicesRequest request)
AmazonECSAsyncLists the services that are running in a specified cluster.
listServicesAsync in interface AmazonECSAsyncpublic Future<ListServicesResult> listServicesAsync(ListServicesRequest request, AsyncHandler<ListServicesRequest,ListServicesResult> asyncHandler)
AmazonECSAsyncLists the services that are running in a specified cluster.
listServicesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListServicesResult> listServicesAsync()
listServicesAsync in interface AmazonECSAsynclistServicesAsync(ListServicesRequest)public Future<ListServicesResult> listServicesAsync(AsyncHandler<ListServicesRequest,ListServicesResult> asyncHandler)
listServicesAsync in interface AmazonECSAsynclistServicesAsync(ListServicesRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListTaskDefinitionFamiliesResult> listTaskDefinitionFamiliesAsync(ListTaskDefinitionFamiliesRequest request)
AmazonECSAsync
Returns a list of task definition families that are registered to your account (which may include task definition
families that no longer have any ACTIVE task definition revisions).
You can filter out task definition families that do not contain any ACTIVE task definition revisions
by setting the status parameter to ACTIVE. You can also filter the results with the
familyPrefix parameter.
listTaskDefinitionFamiliesAsync in interface AmazonECSAsyncpublic Future<ListTaskDefinitionFamiliesResult> listTaskDefinitionFamiliesAsync(ListTaskDefinitionFamiliesRequest request, AsyncHandler<ListTaskDefinitionFamiliesRequest,ListTaskDefinitionFamiliesResult> asyncHandler)
AmazonECSAsync
Returns a list of task definition families that are registered to your account (which may include task definition
families that no longer have any ACTIVE task definition revisions).
You can filter out task definition families that do not contain any ACTIVE task definition revisions
by setting the status parameter to ACTIVE. You can also filter the results with the
familyPrefix parameter.
listTaskDefinitionFamiliesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTaskDefinitionFamiliesResult> listTaskDefinitionFamiliesAsync()
listTaskDefinitionFamiliesAsync in interface AmazonECSAsynclistTaskDefinitionFamiliesAsync(ListTaskDefinitionFamiliesRequest)public Future<ListTaskDefinitionFamiliesResult> listTaskDefinitionFamiliesAsync(AsyncHandler<ListTaskDefinitionFamiliesRequest,ListTaskDefinitionFamiliesResult> asyncHandler)
listTaskDefinitionFamiliesAsync in interface AmazonECSAsynclistTaskDefinitionFamiliesAsync(ListTaskDefinitionFamiliesRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListTaskDefinitionsResult> listTaskDefinitionsAsync(ListTaskDefinitionsRequest request)
AmazonECSAsync
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.
listTaskDefinitionsAsync in interface AmazonECSAsyncpublic Future<ListTaskDefinitionsResult> listTaskDefinitionsAsync(ListTaskDefinitionsRequest request, AsyncHandler<ListTaskDefinitionsRequest,ListTaskDefinitionsResult> asyncHandler)
AmazonECSAsync
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.
listTaskDefinitionsAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTaskDefinitionsResult> listTaskDefinitionsAsync()
listTaskDefinitionsAsync in interface AmazonECSAsynclistTaskDefinitionsAsync(ListTaskDefinitionsRequest)public Future<ListTaskDefinitionsResult> listTaskDefinitionsAsync(AsyncHandler<ListTaskDefinitionsRequest,ListTaskDefinitionsResult> asyncHandler)
listTaskDefinitionsAsync in interface AmazonECSAsynclistTaskDefinitionsAsync(ListTaskDefinitionsRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListTasksResult> listTasksAsync(ListTasksRequest request)
AmazonECSAsync
Returns a list of tasks for a specified cluster. You can filter the results by family name, by a particular
container instance, or by the desired status of the task with the family,
containerInstance, and desiredStatus parameters.
Recently stopped tasks might appear in the returned results. Currently, stopped tasks appear in the returned results for at least one hour.
listTasksAsync in interface AmazonECSAsyncpublic Future<ListTasksResult> listTasksAsync(ListTasksRequest request, AsyncHandler<ListTasksRequest,ListTasksResult> asyncHandler)
AmazonECSAsync
Returns a list of tasks for a specified cluster. You can filter the results by family name, by a particular
container instance, or by the desired status of the task with the family,
containerInstance, and desiredStatus parameters.
Recently stopped tasks might appear in the returned results. Currently, stopped tasks appear in the returned results for at least one hour.
listTasksAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTasksResult> listTasksAsync()
listTasksAsync in interface AmazonECSAsynclistTasksAsync(ListTasksRequest)public Future<ListTasksResult> listTasksAsync(AsyncHandler<ListTasksRequest,ListTasksResult> asyncHandler)
listTasksAsync in interface AmazonECSAsynclistTasksAsync(ListTasksRequest, com.amazonaws.handlers.AsyncHandler)public Future<PutAttributesResult> putAttributesAsync(PutAttributesRequest request)
AmazonECSAsyncCreate or update an attribute on an Amazon ECS resource. If the attribute does not exist, it is 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.
putAttributesAsync in interface AmazonECSAsyncpublic Future<PutAttributesResult> putAttributesAsync(PutAttributesRequest request, AsyncHandler<PutAttributesRequest,PutAttributesResult> asyncHandler)
AmazonECSAsyncCreate or update an attribute on an Amazon ECS resource. If the attribute does not exist, it is 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.
putAttributesAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RegisterContainerInstanceResult> registerContainerInstanceAsync(RegisterContainerInstanceRequest request)
AmazonECSAsyncThis 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.
registerContainerInstanceAsync in interface AmazonECSAsyncpublic Future<RegisterContainerInstanceResult> registerContainerInstanceAsync(RegisterContainerInstanceRequest request, AsyncHandler<RegisterContainerInstanceRequest,RegisterContainerInstanceResult> asyncHandler)
AmazonECSAsyncThis 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.
registerContainerInstanceAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RegisterTaskDefinitionResult> registerTaskDefinitionAsync(RegisterTaskDefinitionRequest request)
AmazonECSAsync
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.
registerTaskDefinitionAsync in interface AmazonECSAsyncpublic Future<RegisterTaskDefinitionResult> registerTaskDefinitionAsync(RegisterTaskDefinitionRequest request, AsyncHandler<RegisterTaskDefinitionRequest,RegisterTaskDefinitionResult> asyncHandler)
AmazonECSAsync
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.
registerTaskDefinitionAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RunTaskResult> runTaskAsync(RunTaskRequest request)
AmazonECSAsyncStarts 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.
The Amazon ECS API follows an eventual consistency model, due to 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. You should 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.
runTaskAsync in interface AmazonECSAsyncpublic Future<RunTaskResult> runTaskAsync(RunTaskRequest request, AsyncHandler<RunTaskRequest,RunTaskResult> asyncHandler)
AmazonECSAsyncStarts 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.
The Amazon ECS API follows an eventual consistency model, due to 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. You should 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.
runTaskAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartTaskResult> startTaskAsync(StartTaskRequest request)
AmazonECSAsyncStarts a new task from the specified task definition on the specified container instance or instances.
Alternatively, you can use RunTask to place tasks for you. For more information, see Scheduling Tasks in the Amazon Elastic Container Service Developer Guide.
startTaskAsync in interface AmazonECSAsyncpublic Future<StartTaskResult> startTaskAsync(StartTaskRequest request, AsyncHandler<StartTaskRequest,StartTaskResult> asyncHandler)
AmazonECSAsyncStarts a new task from the specified task definition on the specified container instance or instances.
Alternatively, you can use RunTask to place tasks for you. For more information, see Scheduling Tasks in the Amazon Elastic Container Service Developer Guide.
startTaskAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopTaskResult> stopTaskAsync(StopTaskRequest request)
AmazonECSAsyncStops a running task.
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 and a default 30-second timeout, after which
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.
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.
stopTaskAsync in interface AmazonECSAsyncpublic Future<StopTaskResult> stopTaskAsync(StopTaskRequest request, AsyncHandler<StopTaskRequest,StopTaskResult> asyncHandler)
AmazonECSAsyncStops a running task.
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 and a default 30-second timeout, after which
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.
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.
stopTaskAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<SubmitContainerStateChangeResult> submitContainerStateChangeAsync(SubmitContainerStateChangeRequest request)
AmazonECSAsyncThis 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.
submitContainerStateChangeAsync in interface AmazonECSAsyncpublic Future<SubmitContainerStateChangeResult> submitContainerStateChangeAsync(SubmitContainerStateChangeRequest request, AsyncHandler<SubmitContainerStateChangeRequest,SubmitContainerStateChangeResult> asyncHandler)
AmazonECSAsyncThis 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.
submitContainerStateChangeAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<SubmitContainerStateChangeResult> submitContainerStateChangeAsync()
submitContainerStateChangeAsync in interface AmazonECSAsyncsubmitContainerStateChangeAsync(SubmitContainerStateChangeRequest)public Future<SubmitContainerStateChangeResult> submitContainerStateChangeAsync(AsyncHandler<SubmitContainerStateChangeRequest,SubmitContainerStateChangeResult> asyncHandler)
submitContainerStateChangeAsync in interface AmazonECSAsyncsubmitContainerStateChangeAsync(SubmitContainerStateChangeRequest, com.amazonaws.handlers.AsyncHandler)public Future<SubmitTaskStateChangeResult> submitTaskStateChangeAsync(SubmitTaskStateChangeRequest request)
AmazonECSAsyncThis 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.
submitTaskStateChangeAsync in interface AmazonECSAsyncpublic Future<SubmitTaskStateChangeResult> submitTaskStateChangeAsync(SubmitTaskStateChangeRequest request, AsyncHandler<SubmitTaskStateChangeRequest,SubmitTaskStateChangeResult> asyncHandler)
AmazonECSAsyncThis 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.
submitTaskStateChangeAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateContainerAgentResult> updateContainerAgentAsync(UpdateContainerAgentRequest request)
AmazonECSAsyncUpdates the Amazon ECS container agent on a specified container instance. Updating the Amazon ECS container agent does not 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.
UpdateContainerAgent requires the Amazon ECS-optimized AMI or Amazon Linux 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.
updateContainerAgentAsync in interface AmazonECSAsyncpublic Future<UpdateContainerAgentResult> updateContainerAgentAsync(UpdateContainerAgentRequest request, AsyncHandler<UpdateContainerAgentRequest,UpdateContainerAgentResult> asyncHandler)
AmazonECSAsyncUpdates the Amazon ECS container agent on a specified container instance. Updating the Amazon ECS container agent does not 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.
UpdateContainerAgent requires the Amazon ECS-optimized AMI or Amazon Linux 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.
updateContainerAgentAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateContainerInstancesStateResult> updateContainerInstancesStateAsync(UpdateContainerInstancesStateRequest request)
AmazonECSAsyncModifies the status of an Amazon ECS container instance.
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.
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 are in the RUNNING state.
Tasks for services that use a load balancer are considered healthy if they are in the RUNNING state
and the container instance they are hosted on is reported as healthy by the load balancer.
The maximumPercent parameter represents an upper limit on the number of running tasks during task
replacement, which enables you to define the replacement batch size. For example, if desiredCount of
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 are not 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 you set a container instance to ACTIVE, the Amazon ECS scheduler can begin scheduling tasks on
the instance again.
updateContainerInstancesStateAsync in interface AmazonECSAsyncpublic Future<UpdateContainerInstancesStateResult> updateContainerInstancesStateAsync(UpdateContainerInstancesStateRequest request, AsyncHandler<UpdateContainerInstancesStateRequest,UpdateContainerInstancesStateResult> asyncHandler)
AmazonECSAsyncModifies the status of an Amazon ECS container instance.
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.
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 are in the RUNNING state.
Tasks for services that use a load balancer are considered healthy if they are in the RUNNING state
and the container instance they are hosted on is reported as healthy by the load balancer.
The maximumPercent parameter represents an upper limit on the number of running tasks during task
replacement, which enables you to define the replacement batch size. For example, if desiredCount of
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 are not 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 you set a container instance to ACTIVE, the Amazon ECS scheduler can begin scheduling tasks on
the instance again.
updateContainerInstancesStateAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateServiceResult> updateServiceAsync(UpdateServiceRequest request)
AmazonECSAsyncModifies the desired count, deployment configuration, network configuration, or task definition used in a service.
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 do not 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 do not use a load
balancer are considered healthy if they are in the RUNNING state. Tasks for services that use a load
balancer are considered healthy if they are in the RUNNING state and the container instance they are
hosted on is reported as healthy by the load balancer.
The maximumPercent parameter represents an upper limit on the number of running tasks during a
deployment, which enables you 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
which 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 (although 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.
updateServiceAsync in interface AmazonECSAsyncpublic Future<UpdateServiceResult> updateServiceAsync(UpdateServiceRequest request, AsyncHandler<UpdateServiceRequest,UpdateServiceResult> asyncHandler)
AmazonECSAsyncModifies the desired count, deployment configuration, network configuration, or task definition used in a service.
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 do not 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 do not use a load
balancer are considered healthy if they are in the RUNNING state. Tasks for services that use a load
balancer are considered healthy if they are in the RUNNING state and the container instance they are
hosted on is reported as healthy by the load balancer.
The maximumPercent parameter represents an upper limit on the number of running tasks during a
deployment, which enables you 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
which 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 (although 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.
updateServiceAsync in interface AmazonECSAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Copyright © 2018. All rights reserved.