UpdateService
Updating the task placement strategies and constraints on an Amazon ECS service remains
in preview and is a Beta Service as defined by and subject to the Beta Service
Participation Service Terms located at https://aws.amazon.com/service-terms
Modifies the parameters of a service.
For services using the rolling update (ECS
) deployment controller, the
desired count, deployment configuration, network configuration, task placement
constraints and strategies, or task definition used can be updated.
For services using the blue/green (CODE_DEPLOY
) deployment controller,
only the desired count, deployment configuration, task placement constraints and
strategies, and health check grace period can be updated using this API. If the
network
configuration, platform version, or task definition need to be updated, a new AWS
CodeDeploy
deployment should be created. For more information, see CreateDeployment in the AWS CodeDeploy API Reference.
For services using an external deployment controller, you can update only the desired count, task placement constraints and strategies, and health check grace period using this API. If the launch type, load balancer, network configuration, platform version, or task definition need to be updated, you should 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 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 ignoredesiredCount
temporarily during a deployment. For example, ifdesiredCount
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 theRUNNING
state. Tasks for services that use a load balancer are considered healthy if they are in theRUNNING
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, ifdesiredCount
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.
Request Syntax
{
"capacityProviderStrategy": [
{
"base": number
,
"capacityProvider": "string
",
"weight": number
}
],
"cluster": "string
",
"deploymentConfiguration": {
"deploymentCircuitBreaker": {
"enable": boolean
,
"rollback": boolean
},
"maximumPercent": number
,
"minimumHealthyPercent": number
},
"desiredCount": number
,
"forceNewDeployment": boolean
,
"healthCheckGracePeriodSeconds": number
,
"networkConfiguration": {
"awsvpcConfiguration": {
"assignPublicIp": "string
",
"securityGroups": [ "string
" ],
"subnets": [ "string
" ]
}
},
"placementConstraints": [
{
"expression": "string
",
"type": "string
"
}
],
"placementStrategy": [
{
"field": "string
",
"type": "string
"
}
],
"platformVersion": "string
",
"service": "string
",
"taskDefinition": "string
"
}
Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- capacityProviderStrategy
-
The capacity provider strategy to update the service to use.
If the service is using the default capacity provider strategy for the cluster, the service can be updated to use one or more capacity providers as opposed to the default capacity provider strategy. However, when a service is using a capacity provider strategy that is not the default capacity provider strategy, the service cannot be updated to use the cluster's default capacity provider strategy.
A capacity provider strategy consists of one or more capacity providers along with the
base
andweight
to assign to them. A capacity provider must be associated with the cluster to be used in a capacity provider strategy. The PutClusterCapacityProviders API is used to associate a capacity provider with a cluster. Only capacity providers with anACTIVE
orUPDATING
status can be used.If specifying a capacity provider that uses an Auto Scaling group, the capacity provider must already be created. New capacity providers can be created with the CreateCapacityProvider API operation.
To use a AWS Fargate capacity provider, specify either the
FARGATE
orFARGATE_SPOT
capacity providers. The AWS Fargate capacity providers are available to all accounts and only need to be associated with a cluster to be used.The PutClusterCapacityProviders API operation is used to update the list of available capacity providers for a cluster after the cluster is created.
Type: Array of CapacityProviderStrategyItem objects
Required: No
- cluster
-
The short name or full Amazon Resource Name (ARN) of the cluster that your service is running on. If you do not specify a cluster, the default cluster is assumed.
Type: String
Required: No
- deploymentConfiguration
-
Optional deployment parameters that control how many tasks run during the deployment and the ordering of stopping and starting tasks.
Type: DeploymentConfiguration object
Required: No
- desiredCount
-
The number of instantiations of the task to place and keep running in your service.
Type: Integer
Required: No
- forceNewDeployment
-
Whether to force a new deployment of the service. Deployments are not forced by default. You can use this option to trigger a new deployment with no service definition changes. For example, you can update a service's tasks to use a newer Docker image with the same image/tag combination (
my_image:latest
) or to roll Fargate tasks onto a newer platform version.Type: Boolean
Required: No
- healthCheckGracePeriodSeconds
-
The period of time, in seconds, that the Amazon ECS service scheduler should ignore unhealthy Elastic Load Balancing target health checks after a task has first started. This is only valid if your service is configured to use a load balancer. If your service's tasks take a while to start and respond to Elastic Load Balancing health checks, you can specify a health check grace period of up to 2,147,483,647 seconds. During that time, the Amazon ECS service scheduler ignores the Elastic Load Balancing health check status. This grace period can prevent the ECS service scheduler from marking tasks as unhealthy and stopping them before they have time to come up.
Type: Integer
Required: No
- networkConfiguration
-
An object representing the network configuration for a task or service.
Type: NetworkConfiguration object
Required: No
- placementConstraints
-
An array of task placement constraint objects to update the service to use. If no value is specified, the existing placement constraints for the service will remain unchanged. If this value is specified, it will override any existing placement constraints defined for the service. To remove all existing placement constraints, specify an empty array.
You can specify a maximum of 10 constraints per task (this limit includes constraints in the task definition and those specified at runtime).
Type: Array of PlacementConstraint objects
Required: No
- placementStrategy
-
The task placement strategy objects to update the service to use. If no value is specified, the existing placement strategy for the service will remain unchanged. If this value is specified, it will override the existing placement strategy defined for the service. To remove an existing placement strategy, specify an empty object.
You can specify a maximum of five strategy rules per service.
Type: Array of PlacementStrategy objects
Required: No
- platformVersion
-
The platform version on which your tasks in the service are running. A platform version is only specified for tasks using the Fargate launch type. If a platform version is not specified, the
LATEST
platform version is used by default. For more information, see AWS Fargate Platform Versions in the Amazon Elastic Container Service Developer Guide.Type: String
Required: No
- service
-
The name of the service to update.
Type: String
Required: Yes
- taskDefinition
-
The
family
andrevision
(family:revision
) or full ARN of the task definition to run in your service. If arevision
is not specified, the latestACTIVE
revision is used. If you modify the task definition withUpdateService
, Amazon ECS spawns a task with the new version of the task definition and then stops an old task after the new version is running.Type: String
Required: No
Response Syntax
{
"service": {
"capacityProviderStrategy": [
{
"base": number,
"capacityProvider": "string",
"weight": number
}
],
"clusterArn": "string",
"createdAt": number,
"createdBy": "string",
"deploymentConfiguration": {
"deploymentCircuitBreaker": {
"enable": boolean,
"rollback": boolean
},
"maximumPercent": number,
"minimumHealthyPercent": number
},
"deploymentController": {
"type": "string"
},
"deployments": [
{
"capacityProviderStrategy": [
{
"base": number,
"capacityProvider": "string",
"weight": number
}
],
"createdAt": number,
"desiredCount": number,
"failedTasks": number,
"id": "string",
"launchType": "string",
"networkConfiguration": {
"awsvpcConfiguration": {
"assignPublicIp": "string",
"securityGroups": [ "string" ],
"subnets": [ "string" ]
}
},
"pendingCount": number,
"platformVersion": "string",
"rolloutState": "string",
"rolloutStateReason": "string",
"runningCount": number,
"status": "string",
"taskDefinition": "string",
"updatedAt": number
}
],
"desiredCount": number,
"enableECSManagedTags": boolean,
"events": [
{
"createdAt": number,
"id": "string",
"message": "string"
}
],
"healthCheckGracePeriodSeconds": number,
"launchType": "string",
"loadBalancers": [
{
"containerName": "string",
"containerPort": number,
"loadBalancerName": "string",
"targetGroupArn": "string"
}
],
"networkConfiguration": {
"awsvpcConfiguration": {
"assignPublicIp": "string",
"securityGroups": [ "string" ],
"subnets": [ "string" ]
}
},
"pendingCount": number,
"placementConstraints": [
{
"expression": "string",
"type": "string"
}
],
"placementStrategy": [
{
"field": "string",
"type": "string"
}
],
"platformVersion": "string",
"propagateTags": "string",
"roleArn": "string",
"runningCount": number,
"schedulingStrategy": "string",
"serviceArn": "string",
"serviceName": "string",
"serviceRegistries": [
{
"containerName": "string",
"containerPort": number,
"port": number,
"registryArn": "string"
}
],
"status": "string",
"tags": [
{
"key": "string",
"value": "string"
}
],
"taskDefinition": "string",
"taskSets": [
{
"capacityProviderStrategy": [
{
"base": number,
"capacityProvider": "string",
"weight": number
}
],
"clusterArn": "string",
"computedDesiredCount": number,
"createdAt": number,
"externalId": "string",
"id": "string",
"launchType": "string",
"loadBalancers": [
{
"containerName": "string",
"containerPort": number,
"loadBalancerName": "string",
"targetGroupArn": "string"
}
],
"networkConfiguration": {
"awsvpcConfiguration": {
"assignPublicIp": "string",
"securityGroups": [ "string" ],
"subnets": [ "string" ]
}
},
"pendingCount": number,
"platformVersion": "string",
"runningCount": number,
"scale": {
"unit": "string",
"value": number
},
"serviceArn": "string",
"serviceRegistries": [
{
"containerName": "string",
"containerPort": number,
"port": number,
"registryArn": "string"
}
],
"stabilityStatus": "string",
"stabilityStatusAt": number,
"startedBy": "string",
"status": "string",
"tags": [
{
"key": "string",
"value": "string"
}
],
"taskDefinition": "string",
"taskSetArn": "string",
"updatedAt": number
}
]
}
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
Errors
For information about the errors that are common to all actions, see Common Errors.
- AccessDeniedException
-
You do not have authorization to perform the requested action.
HTTP Status Code: 400
- ClientException
-
These errors are usually caused by a client action, such as using an action or resource on behalf of a user that doesn't have permissions to use the action or resource, or specifying an identifier that is not valid.
HTTP Status Code: 400
- ClusterNotFoundException
-
The specified cluster could not be found. You can view your available clusters with ListClusters. Amazon ECS clusters are Region-specific.
HTTP Status Code: 400
- InvalidParameterException
-
The specified parameter is invalid. Review the available parameters for the API request.
HTTP Status Code: 400
- PlatformTaskDefinitionIncompatibilityException
-
The specified platform version does not satisfy the task definition's required capabilities.
HTTP Status Code: 400
- PlatformUnknownException
-
The specified platform version does not exist.
HTTP Status Code: 400
- ServerException
-
These errors are usually caused by a server issue.
HTTP Status Code: 500
- ServiceNotActiveException
-
The specified service is not active. You can't update a service that is inactive. If you have previously deleted a service, you can re-create it with CreateService.
HTTP Status Code: 400
- ServiceNotFoundException
-
The specified service could not be found. You can view your available services with ListServices. Amazon ECS services are cluster-specific and Region-specific.
HTTP Status Code: 400
Examples
In the following example or examples, the Authorization header contents
(AUTHPARAMS
) must be replaced with an AWS Signature Version 4
signature. For more information, see Signature
Version 4 Signing Process in the AWS General
Reference.
You only need to learn how to sign HTTP requests if you intend to
create them manually. When you use the AWS Command Line
Interface (AWS CLI)
Example
This example request updates the hello_world
service to a desired
count of 3.
Sample Request
POST / HTTP/1.1
Host: ecs.us-east-1.amazonaws.com
Accept-Encoding: identity
Content-Length: 45
X-Amz-Target: AmazonEC2ContainerServiceV20141113.UpdateService
X-Amz-Date: 20150429T194543Z
Content-Type: application/x-amz-json-1.1
Authorization: AUTHPARAMS
{
"service": "hello_world",
"desiredCount": 3
}
Sample Response
HTTP/1.1 200 OK
Server: Server
Date: Wed, 29 Apr 2015 19:45:43 GMT
Content-Type: application/x-amz-json-1.1
Content-Length: 13376
Connection: keep-alive
x-amzn-RequestId: 123a4b56-7c89-01d2-3ef4-example5678f
{
"service": {
"clusterArn": "arn:aws:ecs:us-east-1:012345678910:cluster/default",
"deploymentConfiguration": {
"maximumPercent": 200,
"minimumHealthyPercent": 100
},
"deployments": [
{
"createdAt": 1430333711.033,
"desiredCount": 3,
"id": "ecs-svc/9223370606521064774",
"pendingCount": 0,
"runningCount": 0,
"status": "PRIMARY",
"taskDefinition": "arn:aws:ecs:us-east-1:012345678910:task-definition/hello_world:10",
"updatedAt": 1430336267.173
}
],
"desiredCount": 3,
"events": [],
"loadBalancers": [],
"pendingCount": 0,
"runningCount": 0,
"serviceArn": "arn:aws:ecs:us-east-1:012345678910:service/hello_world",
"serviceName": "hello_world",
"status": "ACTIVE",
"taskDefinition": "arn:aws:ecs:us-east-1:012345678910:task-definition/hello_world:10"
}
}
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: