Runs and maintains your desired number of tasks from a specified task definition. If the number of tasks running in a service drops below the desiredCount
, Amazon ECS runs another copy of the task in the specified cluster. To update an existing service, use UpdateService .
In addition to maintaining the desired count of tasks in your service, you can optionally run your service behind one or more load balancers. The load balancers distribute traffic across the tasks that are associated with the service. For more information, see Service load balancing in the Amazon Elastic Container Service Developer Guide .
You can attach Amazon EBS volumes to Amazon ECS tasks by configuring the volume when creating or updating a service. volumeConfigurations
is only supported for REPLICA service and not DAEMON service. For more infomation, see Amazon EBS volumes in the Amazon Elastic Container Service Developer Guide .
Tasks for services that don’t use a load balancer are considered healthy if they’re in the RUNNING
state. Tasks for services that use a load balancer are considered healthy if they’re in the RUNNING
state and are reported as healthy by the load balancer.
There are two service scheduler strategies available:
REPLICA
- The replica scheduling strategy places and maintains your desired number of tasks across your cluster. By default, the service scheduler spreads tasks across Availability Zones. You can use task placement strategies and constraints to customize task placement decisions. For more information, see Service scheduler concepts in the Amazon Elastic Container Service Developer Guide .DAEMON
- The daemon scheduling strategy deploys exactly one task on each active container instance that meets all of the task placement constraints that you specify in your cluster. The service scheduler also evaluates the task placement constraints for running tasks. It also stops tasks that don’t meet the placement constraints. When using this strategy, you don’t need to specify a desired number of tasks, a task placement strategy, or use Service Auto Scaling policies. For more information, see Service scheduler concepts in the Amazon Elastic Container Service Developer Guide .You can optionally specify a deployment configuration for your service. The deployment is initiated by changing properties. For example, the deployment might be initiated by the task definition or by your desired count of a service. You can use UpdateService . The default value for a replica service for minimumHealthyPercent
is 100%. The default value for a daemon service for minimumHealthyPercent
is 0%.
If a service uses the ECS
deployment controller, the minimum healthy percent represents a lower limit on the number of tasks in a service that must remain in the RUNNING
state during a deployment. Specifically, it represents it as a percentage of your desired number of tasks (rounded up to the nearest integer). This happens when any of your container instances are in the DRAINING
state if the service contains tasks using the EC2 launch type. Using this parameter, you can deploy without using additional cluster capacity. For example, if you set your service to have desired number of four tasks and a minimum healthy percent of 50%, the scheduler might stop two existing tasks to free up cluster capacity before starting two new tasks. If they’re in the RUNNING
state, tasks for services that don’t use a load balancer are considered healthy . If they’re in the RUNNING
state and reported as healthy by the load balancer, tasks for services that do use a load balancer are considered healthy . The default value for minimum healthy percent is 100%.
If a service uses the ECS
deployment controller, the maximum percent parameter represents an upper limit on the number of tasks in a service that are allowed in the RUNNING
or PENDING
state during a deployment. Specifically, it represents it as a percentage of the desired number of tasks (rounded down to the nearest integer). This happens when any of your container instances are in the DRAINING
state if the service contains tasks using the EC2 launch type. Using this parameter, you can define the deployment batch size. For example, if your service has a desired number of four tasks and a maximum percent value of 200%, the scheduler may start four new tasks before stopping the four older tasks (provided that the cluster resources required to do this are available). The default value for maximum percent is 200%.
If a service uses either the CODE_DEPLOY
or EXTERNAL
deployment controller types and tasks that use the EC2 launch type, the minimum healthy percent and maximum percent values are used only to define the lower and upper limit on the number of the tasks in the service that remain in the RUNNING
state. This is while the container instances are in the DRAINING
state. If the tasks in the service use the Fargate launch type, the minimum healthy percent and maximum percent values aren’t used. This is the case even if they’re currently visible when describing your service.
When creating a service that uses the EXTERNAL
deployment controller, you can specify only parameters that aren’t controlled at the task set level. The only required parameter is the service name. You control your services using the CreateTaskSet . For more information, see Amazon ECS deployment types in the Amazon Elastic Container Service Developer Guide .
When the service scheduler launches new tasks, it determines task placement. For information about task placement and task placement strategies, see Amazon ECS task placement in the Amazon Elastic Container Service Developer Guide
See also: AWS API Documentation
create-service
[--cluster <value>]
--service-name <value>
[--task-definition <value>]
[--availability-zone-rebalancing <value>]
[--load-balancers <value>]
[--service-registries <value>]
[--desired-count <value>]
[--client-token <value>]
[--launch-type <value>]
[--capacity-provider-strategy <value>]
[--platform-version <value>]
[--role <value>]
[--deployment-configuration <value>]
[--placement-constraints <value>]
[--placement-strategy <value>]
[--network-configuration <value>]
[--health-check-grace-period-seconds <value>]
[--scheduling-strategy <value>]
[--deployment-controller <value>]
[--tags <value>]
[--enable-ecs-managed-tags | --no-enable-ecs-managed-tags]
[--propagate-tags <value>]
[--enable-execute-command | --disable-execute-command]
[--service-connect-configuration <value>]
[--volume-configurations <value>]
[--vpc-lattice-configurations <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
--cluster
(string)
The short name or full Amazon Resource Name (ARN) of the cluster that you run your service on. If you do not specify a cluster, the default cluster is assumed.
--service-name
(string)
The name of your service. Up to 255 letters (uppercase and lowercase), numbers, underscores, and hyphens are allowed. Service names must be unique within a cluster, but you can have similarly named services in multiple clusters within a Region or across multiple Regions.
--task-definition
(string)
The
family
andrevision
(family:revision
) or full ARN of the task definition to run in your service. If arevision
isn’t specified, the latestACTIVE
revision is used.A task definition must be specified if the service uses either the
ECS
orCODE_DEPLOY
deployment controllers.For more information about deployment types, see Amazon ECS deployment types .
--availability-zone-rebalancing
(string)
Indicates whether to use Availability Zone rebalancing for the service.
For more information, see Balancing an Amazon ECS service across Availability Zones in the Amazon Elastic Container Service Developer Guide .
Possible values:
ENABLED
DISABLED
--load-balancers
(list)
A load balancer object representing the load balancers to use with your service. For more information, see Service load balancing in the Amazon Elastic Container Service Developer Guide .
If the service uses the rolling update (
ECS
) deployment controller and using either an Application Load Balancer or Network Load Balancer, you must specify one or more target group ARNs to attach to the service. The service-linked role is required for services that use multiple target groups. For more information, see Using service-linked roles for Amazon ECS in the Amazon Elastic Container Service Developer Guide .If the service uses the
CODE_DEPLOY
deployment controller, the service is required to use either an Application Load Balancer or Network Load Balancer. When creating an CodeDeploy deployment group, you specify two target groups (referred to as atargetGroupPair
). During a deployment, CodeDeploy determines which task set in your service has the statusPRIMARY
, and it associates one target group with it. Then, it also associates the other target group with the replacement task set. The load balancer can also have up to two listeners: a required listener for production traffic and an optional listener that you can use to perform validation tests with Lambda functions before routing production traffic to it.If you use the
CODE_DEPLOY
deployment controller, these values can be changed when updating the service.For Application Load Balancers and Network Load Balancers, this object must contain the load balancer target group ARN, the container name, and the container port to access from the load balancer. The container name must be as it appears in a container definition. The load balancer name parameter must be omitted. When a task from this service is placed on a container instance, the container instance and port combination is registered as a target in the target group that’s specified here.
For Classic Load Balancers, this object must contain the load balancer name, the container name , and the container port to access from the load balancer. The container name must be as it appears in a container definition. The target group ARN parameter must be omitted. When a task from this service is placed on a container instance, the container instance is registered with the load balancer that’s specified here.
Services with tasks that use the
awsvpc
network mode (for example, those with the Fargate launch type) only support Application Load Balancers and Network Load Balancers. Classic Load Balancers aren’t supported. Also, when you create any target groups for these services, you must chooseip
as the target type, notinstance
. This is because tasks that use theawsvpc
network mode are associated with an elastic network interface, not an Amazon EC2 instance.(structure)
The load balancer configuration to use with a service or task set.
When you add, update, or remove a load balancer configuration, Amazon ECS starts a new deployment with the updated Elastic Load Balancing configuration. This causes tasks to register to and deregister from load balancers.
We recommend that you verify this on a test environment before you update the Elastic Load Balancing configuration.
A service-linked role is required for services that use multiple target groups. For more information, see Using service-linked roles in the Amazon Elastic Container Service Developer Guide .
targetGroupArn -> (string)
The full Amazon Resource Name (ARN) of the Elastic Load Balancing target group or groups associated with a service or task set.
A target group ARN is only specified when using an Application Load Balancer or Network Load Balancer.
For services using the
ECS
deployment controller, you can specify one or multiple target groups. For more information, see Registering multiple target groups with a service in the Amazon Elastic Container Service Developer Guide .For services using the
CODE_DEPLOY
deployment controller, you’re required to define two target groups for the load balancer. For more information, see Blue/green deployment with CodeDeploy in the Amazon Elastic Container Service Developer Guide .Warning
If your service’s task definition uses theawsvpc
network mode, you must chooseip
as the target type, notinstance
. Do this when creating your target groups because tasks that use theawsvpc
network mode are associated with an elastic network interface, not an Amazon EC2 instance. This network mode is required for the Fargate launch type.loadBalancerName -> (string)
The name of the load balancer to associate with the Amazon ECS service or task set.
If you are using an Application Load Balancer or a Network Load Balancer the load balancer name parameter should be omitted.
containerName -> (string)
The name of the container (as it appears in a container definition) to associate with the load balancer.
You need to specify the container name when configuring the target group for an Amazon ECS load balancer.
containerPort -> (integer)
The port on the container to associate with the load balancer. This port must correspond to acontainerPort
in the task definition the tasks in the service are using. For tasks that use the EC2 launch type, the container instance they’re launched on must allow ingress traffic on thehostPort
of the port mapping.
Shorthand Syntax:
targetGroupArn=string,loadBalancerName=string,containerName=string,containerPort=integer ...
JSON Syntax:
[
{
"targetGroupArn": "string",
"loadBalancerName": "string",
"containerName": "string",
"containerPort": integer
}
...
]
--service-registries
(list)
The details of the service discovery registry to associate with this service. For more information, see Service discovery .
Note
Each service may be associated with one service registry. Multiple service registries for each service isn’t supported.(structure)
The details for the service registry.
Each service may be associated with one service registry. Multiple service registries for each service are not supported.
When you add, update, or remove the service registries configuration, Amazon ECS starts a new deployment. New tasks are registered and deregistered to the updated service registry configuration.
registryArn -> (string)
The Amazon Resource Name (ARN) of the service registry. The currently supported service registry is Cloud Map. For more information, see CreateService .port -> (integer)
The port value used if your service discovery service specified an SRV record. This field might be used if both theawsvpc
network mode and SRV records are used.containerName -> (string)
The container name value to be used for your service discovery service. It’s already specified in the task definition. If the task definition that your service task specifies uses thebridge
orhost
network mode, you must specify acontainerName
andcontainerPort
combination from the task definition. If the task definition that your service task specifies uses theawsvpc
network mode and a type SRV DNS record is used, you must specify either acontainerName
andcontainerPort
combination or aport
value. However, you can’t specify both.containerPort -> (integer)
The port value to be used for your service discovery service. It’s already specified in the task definition. If the task definition your service task specifies uses thebridge
orhost
network mode, you must specify acontainerName
andcontainerPort
combination from the task definition. If the task definition your service task specifies uses theawsvpc
network mode and a type SRV DNS record is used, you must specify either acontainerName
andcontainerPort
combination or aport
value. However, you can’t specify both.
Shorthand Syntax:
registryArn=string,port=integer,containerName=string,containerPort=integer ...
JSON Syntax:
[
{
"registryArn": "string",
"port": integer,
"containerName": "string",
"containerPort": integer
}
...
]
--desired-count
(integer)
The number of instantiations of the specified task definition to place and keep running in your service.
This is required if
schedulingStrategy
isREPLICA
or isn’t specified. IfschedulingStrategy
isDAEMON
then this isn’t required.
--client-token
(string)
An identifier that you provide to ensure the idempotency of the request. It must be unique and is case sensitive. Up to 36 ASCII characters in the range of 33-126 (inclusive) are allowed.
--launch-type
(string)
The infrastructure that you run your service on. For more information, see Amazon ECS launch types in the Amazon Elastic Container Service Developer Guide .
The
FARGATE
launch type runs your tasks on Fargate On-Demand infrastructure.Note
Fargate Spot infrastructure is available for use but a capacity provider strategy must be used. For more information, see Fargate capacity providers in the Amazon ECS Developer Guide .The
EC2
launch type runs your tasks on Amazon EC2 instances registered to your cluster.The
EXTERNAL
launch type runs your tasks on your on-premises server or virtual machine (VM) capacity registered to your cluster.A service can use either a launch type or a capacity provider strategy. If a
launchType
is specified, thecapacityProviderStrategy
parameter must be omitted.Possible values:
EC2
FARGATE
EXTERNAL
--capacity-provider-strategy
(list)
The capacity provider strategy to use for the service.
If a
capacityProviderStrategy
is specified, thelaunchType
parameter must be omitted. If nocapacityProviderStrategy
orlaunchType
is specified, thedefaultCapacityProviderStrategy
for the cluster is used.A capacity provider strategy may contain a maximum of 6 capacity providers.
(structure)
The details of a capacity provider strategy. A capacity provider strategy can be set when using the RunTask or CreateCluster APIs or as the default capacity provider strategy for a cluster with the
CreateCluster
API.Only capacity providers that are already associated with a cluster and have an
ACTIVE
orUPDATING
status can be used in a capacity provider strategy. The PutClusterCapacityProviders API is used to associate a capacity provider with a cluster.If specifying a capacity provider that uses an Auto Scaling group, the capacity provider must already be created. New Auto Scaling group capacity providers can be created with the CreateClusterCapacityProvider API operation.
To use a Fargate capacity provider, specify either the
FARGATE
orFARGATE_SPOT
capacity providers. The Fargate capacity providers are available to all accounts and only need to be associated with a cluster to be used in a capacity provider strategy.With
FARGATE_SPOT
, you can run interruption tolerant tasks at a rate that’s discounted compared to theFARGATE
price.FARGATE_SPOT
runs tasks on spare compute capacity. When Amazon Web Services needs the capacity back, your tasks are interrupted with a two-minute warning.FARGATE_SPOT
supports Linux tasks with the X86_64 architecture on platform version 1.3.0 or later.FARGATE_SPOT
supports Linux tasks with the ARM64 architecture on platform version 1.4.0 or later.A capacity provider strategy may contain a maximum of 6 capacity providers.
capacityProvider -> (string)
The short name of the capacity provider.weight -> (integer)
The weight value designates the relative percentage of the total number of tasks launched that should use the specified capacity provider. The
weight
value is taken into consideration after thebase
value, if defined, is satisfied.If no
weight
value is specified, the default value of0
is used. When multiple capacity providers are specified within a capacity provider strategy, at least one of the capacity providers must have a weight value greater than zero and any capacity providers with a weight of0
can’t be used to place tasks. If you specify multiple capacity providers in a strategy that all have a weight of0
, anyRunTask
orCreateService
actions using the capacity provider strategy will fail.An example scenario for using weights is defining a strategy that contains two capacity providers and both have a weight of
1
, then when thebase
is satisfied, the tasks will be split evenly across the two capacity providers. Using that same logic, if you specify a weight of1
for capacityProviderA and a weight of4
for capacityProviderB , then for every one task that’s run using capacityProviderA , four tasks would use capacityProviderB .base -> (integer)
The base value designates how many tasks, at a minimum, to run on the specified capacity provider. Only one capacity provider in a capacity provider strategy can have a base defined. If no value is specified, the default value of0
is used.
Shorthand Syntax:
capacityProvider=string,weight=integer,base=integer ...
JSON Syntax:
[
{
"capacityProvider": "string",
"weight": integer,
"base": integer
}
...
]
--platform-version
(string)
The platform version that your tasks in the service are running on. A platform version is specified only for tasks using the Fargate launch type. If one isn’t specified, theLATEST
platform version is used. For more information, see Fargate platform versions in the Amazon Elastic Container Service Developer Guide .
--role
(string)
The name or full Amazon Resource Name (ARN) of the IAM role that allows Amazon ECS to make calls to your load balancer on your behalf. This parameter is only permitted if you are using a load balancer with your service and your task definition doesn’t use the
awsvpc
network mode. If you specify therole
parameter, you must also specify a load balancer object with theloadBalancers
parameter.Warning
If your account has already created the Amazon ECS service-linked role, that role is used for your service unless you specify a role here. The service-linked role is required if your task definition uses theawsvpc
network mode or if the service is configured to use service discovery, an external deployment controller, multiple target groups, or Elastic Inference accelerators in which case you don’t specify a role here. For more information, see Using service-linked roles for Amazon ECS in the Amazon Elastic Container Service Developer Guide .If your specified role has a path other than
/
, then you must either specify the full role ARN (this is recommended) or prefix the role name with the path. For example, if a role with the namebar
has a path of/foo/
then you would specify/foo/bar
as the role name. For more information, see Friendly names and paths in the IAM User Guide .
--deployment-configuration
(structure)
Optional deployment parameters that control how many tasks run during the deployment and the ordering of stopping and starting tasks.
deploymentCircuitBreaker -> (structure)
Note
The deployment circuit breaker can only be used for services using the rolling update (ECS
) deployment type.The deployment circuit breaker determines whether a service deployment will fail if the service can’t reach a steady state. If you use the deployment circuit breaker, a service deployment will transition to a failed state and stop launching new tasks. If you use the rollback option, when a service deployment fails, the service is rolled back to the last deployment that completed successfully. For more information, see Rolling update in the Amazon Elastic Container Service Developer Guide
enable -> (boolean)
Determines whether to use the deployment circuit breaker logic for the service.rollback -> (boolean)
Determines whether to configure Amazon ECS to roll back the service if a service deployment fails. If rollback is on, when a service deployment fails, the service is rolled back to the last deployment that completed successfully.maximumPercent -> (integer)
If a service is using the rolling update (
ECS
) deployment type, themaximumPercent
parameter represents an upper limit on the number of your service’s tasks that are allowed in theRUNNING
orPENDING
state during a deployment, as a percentage of thedesiredCount
(rounded down to the nearest integer). This parameter enables you to define the deployment batch size. For example, if your service is using theREPLICA
service scheduler and has adesiredCount
of four tasks and amaximumPercent
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 defaultmaximumPercent
value for a service using theREPLICA
service scheduler is 200%.If a service is using either the blue/green (
CODE_DEPLOY
) orEXTERNAL
deployment types, and tasks in the service use the EC2 launch type, the maximum percent value is set to the default value. The maximum percent value is used to define the upper limit on the number of the tasks in the service that remain in theRUNNING
state while the container instances are in theDRAINING
state.Note
You can’t specify a custommaximumPercent
value for a service that uses either the blue/green (CODE_DEPLOY
) orEXTERNAL
deployment types and has tasks that use the EC2 launch type.If the tasks in the service use the Fargate launch type, the maximum percent value is not used, although it is returned when describing your service.
minimumHealthyPercent -> (integer)
If a service is using the rolling update (
ECS
) deployment type, theminimumHealthyPercent
represents a lower limit on the number of your service’s tasks that must remain in theRUNNING
state during a deployment, as a percentage of thedesiredCount
(rounded up to the nearest integer). This parameter enables you to deploy without using additional cluster capacity. For example, if your service has adesiredCount
of four tasks and aminimumHealthyPercent
of 50%, the service scheduler may stop two existing tasks to free up cluster capacity before starting two new tasks.For services that do not use a load balancer, the following should be noted:
- A service is considered healthy if all essential containers within the tasks in the service pass their health checks.
- If a task has no essential containers with a health check defined, the service scheduler will wait for 40 seconds after a task reaches a
RUNNING
state before the task is counted towards the minimum healthy percent total.- If a task has one or more essential containers with a health check defined, the service scheduler will wait for the task to reach a healthy status before counting it towards the minimum healthy percent total. A task is considered healthy when all essential containers within the task have passed their health checks. The amount of time the service scheduler can wait for is determined by the container health check settings.
For services that do use a load balancer, the following should be noted:
- If a task has no essential containers with a health check defined, the service scheduler will wait for the load balancer target group health check to return a healthy status before counting the task towards the minimum healthy percent total.
- If a task has an essential container with a health check defined, the service scheduler will wait for both the task to reach a healthy status and the load balancer target group health check to return a healthy status before counting the task towards the minimum healthy percent total.
The default value for a replica service for
minimumHealthyPercent
is 100%. The defaultminimumHealthyPercent
value for a service using theDAEMON
service schedule is 0% for the CLI, the Amazon Web Services SDKs, and the APIs and 50% for the Amazon Web Services Management Console.The minimum number of healthy tasks during a deployment is the
desiredCount
multiplied by theminimumHealthyPercent
/100, rounded up to the nearest integer value.If a service is using either the blue/green (
CODE_DEPLOY
) orEXTERNAL
deployment types and is running tasks that use the EC2 launch type, the minimum healthy percent value is set to the default value. The minimum healthy percent value is used to define the lower limit on the number of the tasks in the service that remain in theRUNNING
state while the container instances are in theDRAINING
state.Note
You can’t specify a customminimumHealthyPercent
value for a service that uses either the blue/green (CODE_DEPLOY
) orEXTERNAL
deployment types and has tasks that use the EC2 launch type.If a service is using either the blue/green (
CODE_DEPLOY
) orEXTERNAL
deployment types and is running tasks that use the Fargate launch type, the minimum healthy percent value is not used, although it is returned when describing your service.alarms -> (structure)
Information about the CloudWatch alarms.
alarmNames -> (list)
One or more CloudWatch alarm names. Use a “,” to separate the alarms.
(string)
rollback -> (boolean)
Determines whether to configure Amazon ECS to roll back the service if a service deployment fails. If rollback is used, when a service deployment fails, the service is rolled back to the last deployment that completed successfully.enable -> (boolean)
Determines whether to use the CloudWatch alarm option in the service deployment process.
Shorthand Syntax:
deploymentCircuitBreaker={enable=boolean,rollback=boolean},maximumPercent=integer,minimumHealthyPercent=integer,alarms={alarmNames=[string,string],rollback=boolean,enable=boolean}
JSON Syntax:
{
"deploymentCircuitBreaker": {
"enable": true|false,
"rollback": true|false
},
"maximumPercent": integer,
"minimumHealthyPercent": integer,
"alarms": {
"alarmNames": ["string", ...],
"rollback": true|false,
"enable": true|false
}
}
--placement-constraints
(list)
An array of placement constraint objects to use for tasks in your service. You can specify a maximum of 10 constraints for each task. This limit includes constraints in the task definition and those specified at runtime.
(structure)
An object representing a constraint on task placement. For more information, see Task placement constraints in the Amazon Elastic Container Service Developer Guide .
Note
If you’re using the Fargate launch type, task placement constraints aren’t supported.type -> (string)
The type of constraint. UsedistinctInstance
to ensure that each task in a particular group is running on a different container instance. UsememberOf
to restrict the selection to a group of valid candidates.expression -> (string)
A cluster query language expression to apply to the constraint. The expression can have a maximum length of 2000 characters. You can’t specify an expression if the constraint type isdistinctInstance
. For more information, see Cluster query language in the Amazon Elastic Container Service Developer Guide .
Shorthand Syntax:
type=string,expression=string ...
JSON Syntax:
[
{
"type": "distinctInstance"|"memberOf",
"expression": "string"
}
...
]
--placement-strategy
(list)
The placement strategy objects to use for tasks in your service. You can specify a maximum of 5 strategy rules for each service.
(structure)
The task placement strategy for a task or service. For more information, see Task placement strategies in the Amazon Elastic Container Service Developer Guide .
type -> (string)
The type of placement strategy. Therandom
placement strategy randomly places tasks on available candidates. Thespread
placement strategy spreads placement across available candidates evenly based on thefield
parameter. Thebinpack
strategy places tasks on available candidates that have the least available amount of the resource that’s specified with thefield
parameter. For example, if you binpack on memory, a task is placed on the instance with the least amount of remaining memory but still enough to run the task.field -> (string)
The field to apply the placement strategy against. For thespread
placement strategy, valid values areinstanceId
(orhost
, which has the same effect), or any platform or custom attribute that’s applied to a container instance, such asattribute:ecs.availability-zone
. For thebinpack
placement strategy, valid values arecpu
andmemory
. For therandom
placement strategy, this field is not used.
Shorthand Syntax:
type=string,field=string ...
JSON Syntax:
[
{
"type": "random"|"spread"|"binpack",
"field": "string"
}
...
]
--network-configuration
(structure)
The network configuration for the service. This parameter is required for task definitions that use the
awsvpc
network mode to receive their own elastic network interface, and it isn’t supported for other network modes. For more information, see Task networking in the Amazon Elastic Container Service Developer Guide .awsvpcConfiguration -> (structure)
The VPC subnets and security groups that are associated with a task.
Note
All specified subnets and security groups must be from the same VPC.subnets -> (list)
The IDs of the subnets associated with the task or service. There’s a limit of 16 subnets that can be specified per
awsvpcConfiguration
.Note
All specified subnets must be from the same VPC.(string)
securityGroups -> (list)
The IDs of the security groups associated with the task or service. If you don’t specify a security group, the default security group for the VPC is used. There’s a limit of 5 security groups that can be specified per
awsvpcConfiguration
.Note
All specified security groups must be from the same VPC.(string)
assignPublicIp -> (string)
Whether the task’s elastic network interface receives a public IP address. The default value isDISABLED
.
Shorthand Syntax:
awsvpcConfiguration={subnets=[string,string],securityGroups=[string,string],assignPublicIp=string}
JSON Syntax:
{
"awsvpcConfiguration": {
"subnets": ["string", ...],
"securityGroups": ["string", ...],
"assignPublicIp": "ENABLED"|"DISABLED"
}
}
--health-check-grace-period-seconds
(integer)
The period of time, in seconds, that the Amazon ECS service scheduler ignores unhealthy Elastic Load Balancing, VPC Lattice, and container health checks after a task has first started. If you don’t specify a health check grace period value, the default value of
0
is used. If you don’t use any of the health checks, thenhealthCheckGracePeriodSeconds
is unused.If your service’s tasks take a while to start and respond to health checks, you can specify a health check grace period of up to 2,147,483,647 seconds (about 69 years). During that time, the Amazon ECS service scheduler ignores health check status. This grace period can prevent the service scheduler from marking tasks as unhealthy and stopping them before they have time to come up.
--scheduling-strategy
(string)
The scheduling strategy to use for the service. For more information, see Services .
There are two service scheduler strategies available:
REPLICA
-The replica scheduling strategy places and maintains the 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. This scheduler strategy is required if the service uses theCODE_DEPLOY
orEXTERNAL
deployment controller types.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 and will stop tasks that don’t meet the placement constraints. When you’re using this strategy, you don’t need to specify a desired number of tasks, a task placement strategy, or use Service Auto Scaling policies.Note
Tasks using the Fargate launch type or theCODE_DEPLOY
orEXTERNAL
deployment controller types don’t support theDAEMON
scheduling strategy.Possible values:
REPLICA
DAEMON
--deployment-controller
(structure)
The deployment controller to use for the service. If no deployment controller is specified, the default value of
ECS
is used.type -> (string)
The deployment controller type to use.
There are three deployment controller types available:
ECSThe rolling update (
ECS
) deployment type involves replacing the current running version of the container with the latest version. The number of containers Amazon ECS adds or removes from the service during a rolling update is controlled by adjusting the minimum and maximum number of healthy tasks allowed during a service deployment, as specified in the DeploymentConfiguration .For more information about rolling deployments, see Deploy Amazon ECS services by replacing tasks in the Amazon Elastic Container Service Developer Guide .
CODE_DEPLOYThe blue/green (
CODE_DEPLOY
) deployment type uses the blue/green deployment model powered by CodeDeploy, which allows you to verify a new deployment of a service before sending production traffic to it.For more information about blue/green deployments, see Validate the state of an Amazon ECS service before deployment in the Amazon Elastic Container Service Developer Guide .
EXTERNALThe external (
EXTERNAL
) deployment type enables you to use any third-party deployment controller for full control over the deployment process for an Amazon ECS service.For more information about external deployments, see Deploy Amazon ECS services using a third-party controller in the Amazon Elastic Container Service Developer Guide .
Shorthand Syntax:
type=string
JSON Syntax:
{
"type": "ECS"|"CODE_DEPLOY"|"EXTERNAL"
}
--tags
(list)
The metadata that you apply to the service to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. When a service is deleted, the tags are deleted as well.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.(structure)
The metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value. You define them.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.key -> (string)
One part of a key-value pair that make up a tag. Akey
is a general label that acts like a category for more specific tag values.value -> (string)
The optional part of a key-value pair that make up a tag. Avalue
acts as a descriptor within a tag category (key).
Shorthand Syntax:
key=string,value=string ...
JSON Syntax:
[
{
"key": "string",
"value": "string"
}
...
]
--enable-ecs-managed-tags
| --no-enable-ecs-managed-tags
(boolean)
Specifies whether to turn on Amazon ECS managed tags for the tasks within the service. For more information, see Tagging your Amazon ECS resources in the Amazon Elastic Container Service Developer Guide .
When you use Amazon ECS managed tags, you need to set the
propagateTags
request parameter.
--propagate-tags
(string)
Specifies whether to propagate the tags from the task definition to the task. If no value is specified, the tags aren’t propagated. Tags can only be propagated to the task during task creation. To add tags to a task after task creation, use the TagResource API action.
You must set this to a value other than
NONE
when you use Cost Explorer. For more information, see Amazon ECS usage reports in the Amazon Elastic Container Service Developer Guide .The default is
NONE
.Possible values:
TASK_DEFINITION
SERVICE
NONE
--enable-execute-command
| --disable-execute-command
(boolean)
Determines whether the execute command functionality is turned on for the service. Iftrue
, this enables execute command functionality on all containers in the service tasks.
--service-connect-configuration
(structure)
The configuration for this service to discover and connect to services, and be discovered by, and connected from, other services within a namespace.
Tasks that run in a namespace can use short names to connect to services in the namespace. Tasks can connect to services across all of the clusters in the namespace. Tasks connect through a managed proxy container that collects logs and metrics for increased visibility. Only the tasks that Amazon ECS services create are supported with Service Connect. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
enabled -> (boolean)
Specifies whether to use Service Connect with this service.namespace -> (string)
The namespace name or full Amazon Resource Name (ARN) of the Cloud Map namespace for use with Service Connect. The namespace must be in the same Amazon Web Services Region as the Amazon ECS service and cluster. The type of namespace doesn’t affect Service Connect. For more information about Cloud Map, see Working with Services in the Cloud Map Developer Guide .services -> (list)
The list of Service Connect service objects. These are names and aliases (also known as endpoints) that are used by other Amazon ECS services to connect to this service.
This field is not required for a “client” Amazon ECS service that’s a member of a namespace only to connect to other services within the namespace. An example of this would be a frontend application that accepts incoming requests from either a load balancer that’s attached to the service or by other means.
An object selects a port from the task definition, assigns a name for the Cloud Map service, and a list of aliases (endpoints) and ports for client applications to refer to this service.
(structure)
The Service Connect service object configuration. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
portName -> (string)
TheportName
must match the name of one of theportMappings
from all the containers in the task definition of this Amazon ECS service.discoveryName -> (string)
The
discoveryName
is the name of the new Cloud Map service that Amazon ECS creates for this Amazon ECS service. This must be unique within the Cloud Map namespace. The name can contain up to 64 characters. The name can include lowercase letters, numbers, underscores (_), and hyphens (-). The name can’t start with a hyphen.If the
discoveryName
isn’t specified, the port mapping name from the task definition is used inportName.namespace
.clientAliases -> (list)
The list of client aliases for this Service Connect service. You use these to assign names that can be used by client applications. The maximum number of client aliases that you can have in this list is 1.
Each alias (“endpoint”) is a fully-qualified name and port number that other Amazon ECS tasks (“clients”) can use to connect to this service.
Each name and port mapping must be unique within the namespace.
For each
ServiceConnectService
, you must provide at least oneclientAlias
with oneport
.(structure)
Each alias (“endpoint”) is a fully-qualified name and port number that other tasks (“clients”) can use to connect to this service.
Each name and port mapping must be unique within the namespace.
Tasks that run in a namespace can use short names to connect to services in the namespace. Tasks can connect to services across all of the clusters in the namespace. Tasks connect through a managed proxy container that collects logs and metrics for increased visibility. Only the tasks that Amazon ECS services create are supported with Service Connect. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
port -> (integer)
The listening port number for the Service Connect proxy. This port is available inside of all of the tasks within the same namespace.
To avoid changing your applications in client Amazon ECS services, set this to the same port that the client application uses by default. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
dnsName -> (string)
The
dnsName
is the name that you use in the applications of client tasks to connect to this service. The name must be a valid DNS name but doesn’t need to be fully-qualified. The name can include up to 127 characters. The name can include lowercase letters, numbers, underscores (_), hyphens (-), and periods (.). The name can’t start with a hyphen.If this parameter isn’t specified, the default value of
discoveryName.namespace
is used. If thediscoveryName
isn’t specified, the port mapping name from the task definition is used inportName.namespace
.To avoid changing your applications in client Amazon ECS services, set this to the same name that the client application uses by default. For example, a few common names are
database
,db
, or the lowercase name of a database, such asmysql
orredis
. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .ingressPortOverride -> (integer)
The port number for the Service Connect proxy to listen on.
Use the value of this field to bypass the proxy for traffic on the port number specified in the named
portMapping
in the task definition of this application, and then use it in your VPC security groups to allow traffic into the proxy for this Amazon ECS service.In
awsvpc
mode and Fargate, the default value is the container port number. The container port number is in theportMapping
in the task definition. In bridge mode, the default value is the ephemeral port of the Service Connect proxy.timeout -> (structure)
A reference to an object that represents the configured timeouts for Service Connect.
idleTimeoutSeconds -> (integer)
The amount of time in seconds a connection will stay active while idle. A value of
0
can be set to disableidleTimeout
.The
idleTimeout
default forHTTP
/HTTP2
/GRPC
is 5 minutes.The
idleTimeout
default forTCP
is 1 hour.perRequestTimeoutSeconds -> (integer)
The amount of time waiting for the upstream to respond with a complete response per request. A value of0
can be set to disableperRequestTimeout
.perRequestTimeout
can only be set if Service ConnectappProtocol
isn’tTCP
. OnlyidleTimeout
is allowed forTCP
appProtocol
.tls -> (structure)
A reference to an object that represents a Transport Layer Security (TLS) configuration.
issuerCertificateAuthority -> (structure)
The signer certificate authority.
awsPcaAuthorityArn -> (string)
The ARN of the Amazon Web Services Private Certificate Authority certificate.kmsKey -> (string)
The Amazon Web Services Key Management Service key.roleArn -> (string)
The Amazon Resource Name (ARN) of the IAM role that’s associated with the Service Connect TLS.logConfiguration -> (structure)
The log configuration for the container. This parameter maps to
LogConfig
in the docker container create command and the--log-driver
option to docker run.By default, containers use the same logging driver that the Docker daemon uses. However, the container might use a different logging driver than the Docker daemon by specifying a log driver configuration in the container definition.
Understand the following when specifying a log configuration for your containers.
- Amazon ECS currently supports a subset of the logging drivers available to the Docker daemon. Additional log drivers may be available in future releases of the Amazon ECS container agent. For tasks on Fargate, the supported log drivers are
awslogs
,splunk
, andawsfirelens
. For tasks hosted on Amazon EC2 instances, the supported log drivers areawslogs
,fluentd
,gelf
,json-file
,journald
,``syslog`` ,splunk
, andawsfirelens
.- This parameter requires version 1.18 of the Docker Remote API or greater on your container instance.
- For tasks that are hosted on Amazon EC2 instances, the Amazon ECS container agent must register the available logging drivers with the
ECS_AVAILABLE_LOGGING_DRIVERS
environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .- For tasks that are on Fargate, because you don’t have access to the underlying infrastructure your tasks are hosted on, any additional software needed must be installed outside of the task. For example, the Fluentd output aggregators or a remote host running Logstash to send Gelf logs to.
logDriver -> (string)
The log driver to use for the container.
For tasks on Fargate, the supported log drivers are
awslogs
,splunk
, andawsfirelens
.For tasks hosted on Amazon EC2 instances, the supported log drivers are
awslogs
,fluentd
,gelf
,json-file
,journald
,syslog
,splunk
, andawsfirelens
.For more information about using the
awslogs
log driver, see Send Amazon ECS logs to CloudWatch in the Amazon Elastic Container Service Developer Guide .For more information about using the
awsfirelens
log driver, see Send Amazon ECS logs to an Amazon Web Services service or Amazon Web Services Partner .Note
If you have a custom driver that isn’t listed, you can fork the Amazon ECS container agent project that’s available on GitHub and customize it to work with that driver. We encourage you to submit pull requests for changes that you would like to have included. However, we don’t currently provide support for running modified copies of this software.options -> (map)
The configuration options to send to the log driver.
The options you can specify depend on the log driver. Some of the options you can specify when you use the
awslogs
log driver to route logs to Amazon CloudWatch include the following:awslogs-create-groupRequired: No
Specify whether you want the log group to be created automatically. If this option isn’t specified, it defaults to
false
.Note
Your IAM policy must include the
logs:CreateLogGroup
permission before you attempt to useawslogs-create-group
.awslogs-region
Required: Yes
Specify the Amazon Web Services Region that the
awslogs
log driver is to send your Docker logs to. You can choose to send all of your logs from clusters in different Regions to a single region in CloudWatch Logs. This is so that they’re all visible in one location. Otherwise, you can separate them by Region for more granularity. Make sure that the specified log group exists in the Region that you specify with this option.awslogs-groupRequired: Yes
Make sure to specify a log group that the
awslogs
log driver sends its log streams to.awslogs-stream-prefixRequired: Yes, when using the Fargate launch type.Optional for the EC2 launch type, required for the Fargate launch type.
Use the
awslogs-stream-prefix
option to associate a log stream with the specified prefix, the container name, and the ID of the Amazon ECS task that the container belongs to. If you specify a prefix with this option, then the log stream takes the formatprefix-name/container-name/ecs-task-id
.If you don’t specify a prefix with this option, then the log stream is named after the container ID that’s assigned by the Docker daemon on the container instance. Because it’s difficult to trace logs back to the container that sent them with just the Docker container ID (which is only available on the container instance), we recommend that you specify a prefix with this option.
For Amazon ECS services, you can use the service name as the prefix. Doing so, you can trace log streams to the service that the container belongs to, the name of the container that sent them, and the ID of the task that the container belongs to.
You must specify a stream-prefix for your logs to have your logs appear in the Log pane when using the Amazon ECS console.
awslogs-datetime-formatRequired: No
This option defines a multiline start pattern in Python
strftime
format. A log message consists of a line that matches the pattern and any following lines that don’t match the pattern. The matched line is the delimiter between log messages.One example of a use case for using this format is for parsing output such as a stack dump, which might otherwise be logged in multiple entries. The correct pattern allows it to be captured in a single entry.
For more information, see awslogs-datetime-format .
You cannot configure both the
awslogs-datetime-format
andawslogs-multiline-pattern
options.Note
Multiline logging performs regular expression parsing and matching of all log messages. This might have a negative impact on logging performance.
awslogs-multiline-pattern
Required: No
This option defines a multiline start pattern that uses a regular expression. A log message consists of a line that matches the pattern and any following lines that don’t match the pattern. The matched line is the delimiter between log messages.
For more information, see awslogs-multiline-pattern .
This option is ignored if
awslogs-datetime-format
is also configured.You cannot configure both the
awslogs-datetime-format
andawslogs-multiline-pattern
options.Note
Multiline logging performs regular expression parsing and matching of all log messages. This might have a negative impact on logging performance.
mode
Required: No
Valid values:
non-blocking
|blocking
This option defines the delivery mode of log messages from the container to CloudWatch Logs. The delivery mode you choose affects application availability when the flow of logs from container to CloudWatch is interrupted.
If you use the
blocking
mode and the flow of logs to CloudWatch is interrupted, calls from container code to write to thestdout
andstderr
streams will block. The logging thread of the application will block as a result. This may cause the application to become unresponsive and lead to container healthcheck failure.If you use the
non-blocking
mode, the container’s logs are instead stored in an in-memory intermediate buffer configured with themax-buffer-size
option. This prevents the application from becoming unresponsive when logs cannot be sent to CloudWatch. We recommend using this mode if you want to ensure service availability and are okay with some log loss. For more information, see Preventing log loss with non-blocking mode in the ``awslogs` container log driver <http://aws.amazon.com/blogs/containers/preventing-log-loss-with-non-blocking-mode-in-the-awslogs-container-log-driver/>`__ .max-buffer-sizeRequired: No
Default value:
1m
When
non-blocking
mode is used, themax-buffer-size
log option controls the size of the buffer that’s used for intermediate message storage. Make sure to specify an adequate buffer size based on your application. When the buffer fills up, further logs cannot be stored. Logs that cannot be stored are lost.To route logs using the
splunk
log router, you need to specify asplunk-token
and asplunk-url
.When you use the
awsfirelens
log router to route logs to an Amazon Web Services Service or Amazon Web Services Partner Network destination for log storage and analytics, you can set thelog-driver-buffer-limit
option to limit the number of events that are buffered in memory, before being sent to the log router container. It can help to resolve potential log loss issue because high throughput might result in memory running out for the buffer inside of Docker.Other options you can specify when using
awsfirelens
to route logs depend on the destination. When you export logs to Amazon Data Firehose, you can specify the Amazon Web Services Region withregion
and a name for the log stream withdelivery_stream
.When you export logs to Amazon Kinesis Data Streams, you can specify an Amazon Web Services Region with
region
and a data stream name withstream
.When you export logs to Amazon OpenSearch Service, you can specify options like
Name
,Host
(OpenSearch Service endpoint without protocol),Port
,Index
,Type
,Aws_auth
,Aws_region
,Suppress_Type_Name
, andtls
.When you export logs to Amazon S3, you can specify the bucket using the
bucket
option. You can also specifyregion
,total_file_size
,upload_timeout
, anduse_put_object
as options.This parameter requires version 1.19 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command:
sudo docker version --format '{{.Server.APIVersion}}'
key -> (string)
value -> (string)
secretOptions -> (list)
The secrets to pass to the log configuration. For more information, see Specifying sensitive data in the Amazon Elastic Container Service Developer Guide .
(structure)
An object representing the secret to expose to your container. Secrets can be exposed to a container in the following ways:
- To inject sensitive data into your containers as environment variables, use the
secrets
container definition parameter.- To reference sensitive information in the log configuration of a container, use the
secretOptions
container definition parameter.For more information, see Specifying sensitive data in the Amazon Elastic Container Service Developer Guide .
name -> (string)
The name of the secret.valueFrom -> (string)
The secret to expose to the container. The supported values are either the full ARN of the Secrets Manager secret or the full ARN of the parameter in the SSM Parameter Store.
For information about the require Identity and Access Management permissions, see Required IAM permissions for Amazon ECS secrets (for Secrets Manager) or Required IAM permissions for Amazon ECS secrets (for Systems Manager Parameter store) in the Amazon Elastic Container Service Developer Guide .
Note
If the SSM Parameter Store parameter exists in the same Region as the task you’re launching, then you can use either the full ARN or name of the parameter. If the parameter exists in a different Region, then the full ARN must be specified.
JSON Syntax:
{
"enabled": true|false,
"namespace": "string",
"services": [
{
"portName": "string",
"discoveryName": "string",
"clientAliases": [
{
"port": integer,
"dnsName": "string"
}
...
],
"ingressPortOverride": integer,
"timeout": {
"idleTimeoutSeconds": integer,
"perRequestTimeoutSeconds": integer
},
"tls": {
"issuerCertificateAuthority": {
"awsPcaAuthorityArn": "string"
},
"kmsKey": "string",
"roleArn": "string"
}
}
...
],
"logConfiguration": {
"logDriver": "json-file"|"syslog"|"journald"|"gelf"|"fluentd"|"awslogs"|"splunk"|"awsfirelens",
"options": {"string": "string"
...},
"secretOptions": [
{
"name": "string",
"valueFrom": "string"
}
...
]
}
}
--volume-configurations
(list)
The configuration for a volume specified in the task definition as a volume that is configured at launch time. Currently, the only supported volume type is an Amazon EBS volume.
(structure)
The configuration for a volume specified in the task definition as a volume that is configured at launch time. Currently, the only supported volume type is an Amazon EBS volume.
name -> (string)
The name of the volume. This value must match the volume name from theVolume
object in the task definition.managedEBSVolume -> (structure)
The configuration for the Amazon EBS volume that Amazon ECS creates and manages on your behalf. These settings are used to create each Amazon EBS volume, with one volume created for each task in the service. The Amazon EBS volumes are visible in your account in the Amazon EC2 console once they are created.
encrypted -> (boolean)
Indicates whether the volume should be encrypted. If no value is specified, encryption is turned on by default. This parameter maps 1:1 with theEncrypted
parameter of the CreateVolume API in the Amazon EC2 API Reference .kmsKeyId -> (string)
The Amazon Resource Name (ARN) identifier of the Amazon Web Services Key Management Service key to use for Amazon EBS encryption. When encryption is turned on and no Amazon Web Services Key Management Service key is specified, the default Amazon Web Services managed key for Amazon EBS volumes is used. This parameter maps 1:1 with the
KmsKeyId
parameter of the CreateVolume API in the Amazon EC2 API Reference .Warning
Amazon Web Services authenticates the Amazon Web Services Key Management Service key asynchronously. Therefore, if you specify an ID, alias, or ARN that is invalid, the action can appear to complete, but eventually fails.volumeType -> (string)
The volume type. This parameter maps 1:1 with the
VolumeType
parameter of the CreateVolume API in the Amazon EC2 API Reference . For more information, see Amazon EBS volume types in the Amazon EC2 User Guide .The following are the supported volume types.
- General Purpose SSD:
gp2
|gp3
- Provisioned IOPS SSD:
io1
|io2
- Throughput Optimized HDD:
st1
- Cold HDD:
sc1
- Magnetic:
standard
Note
The magnetic volume type is not supported on Fargate.sizeInGiB -> (integer)
The size of the volume in GiB. You must specify either a volume size or a snapshot ID. If you specify a snapshot ID, the snapshot size is used for the volume size by default. You can optionally specify a volume size greater than or equal to the snapshot size. This parameter maps 1:1 with the
Size
parameter of the CreateVolume API in the Amazon EC2 API Reference .The following are the supported volume size values for each volume type.
gp2
andgp3
: 1-16,384io1
andio2
: 4-16,384st1
andsc1
: 125-16,384standard
: 1-1,024snapshotId -> (string)
The snapshot that Amazon ECS uses to create the volume. You must specify either a snapshot ID or a volume size. This parameter maps 1:1 with theSnapshotId
parameter of the CreateVolume API in the Amazon EC2 API Reference .iops -> (integer)
The number of I/O operations per second (IOPS). For
gp3
,io1
, andio2
volumes, this represents the number of IOPS that are provisioned for the volume. Forgp2
volumes, this represents the baseline performance of the volume and the rate at which the volume accumulates I/O credits for bursting.The following are the supported values for each volume type.
gp3
: 3,000 - 16,000 IOPSio1
: 100 - 64,000 IOPSio2
: 100 - 256,000 IOPSThis parameter is required for
io1
andio2
volume types. The default forgp3
volumes is3,000 IOPS
. This parameter is not supported forst1
,sc1
, orstandard
volume types.This parameter maps 1:1 with the
Iops
parameter of the CreateVolume API in the Amazon EC2 API Reference .throughput -> (integer)
The throughput to provision for a volume, in MiB/s, with a maximum of 1,000 MiB/s. This parameter maps 1:1 with the
Throughput
parameter of the CreateVolume API in the Amazon EC2 API Reference .Warning
This parameter is only supported for thegp3
volume type.tagSpecifications -> (list)
The tags to apply to the volume. Amazon ECS applies service-managed tags by default. This parameter maps 1:1 with the
TagSpecifications.N
parameter of the CreateVolume API in the Amazon EC2 API Reference .(structure)
The tag specifications of an Amazon EBS volume.
resourceType -> (string)
The type of volume resource.tags -> (list)
The tags applied to this Amazon EBS volume.
AmazonECSCreated
andAmazonECSManaged
are reserved tags that can’t be used.(structure)
The metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value. You define them.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.key -> (string)
One part of a key-value pair that make up a tag. Akey
is a general label that acts like a category for more specific tag values.value -> (string)
The optional part of a key-value pair that make up a tag. Avalue
acts as a descriptor within a tag category (key).propagateTags -> (string)
Determines whether to propagate the tags from the task definition to the Amazon EBS volume. Tags can only propagate to aSERVICE
specified inServiceVolumeConfiguration
. If no value is specified, the tags aren’t propagated.roleArn -> (string)
The ARN of the IAM role to associate with this volume. This is the Amazon ECS infrastructure IAM role that is used to manage your Amazon Web Services infrastructure. We recommend using the Amazon ECS-managedAmazonECSInfrastructureRolePolicyForVolumes
IAM policy with this role. For more information, see Amazon ECS infrastructure IAM role in the Amazon ECS Developer Guide .filesystemType -> (string)
The filesystem type for the volume. For volumes created from a snapshot, you must specify the same filesystem type that the volume was using when the snapshot was created. If there is a filesystem type mismatch, the task will fail to start.
The available Linux filesystem types are
ext3
,ext4
, andxfs
. If no value is specified, thexfs
filesystem type is used by default.The available Windows filesystem types are
NTFS
.
JSON Syntax:
[
{
"name": "string",
"managedEBSVolume": {
"encrypted": true|false,
"kmsKeyId": "string",
"volumeType": "string",
"sizeInGiB": integer,
"snapshotId": "string",
"iops": integer,
"throughput": integer,
"tagSpecifications": [
{
"resourceType": "volume",
"tags": [
{
"key": "string",
"value": "string"
}
...
],
"propagateTags": "TASK_DEFINITION"|"SERVICE"|"NONE"
}
...
],
"roleArn": "string",
"filesystemType": "ext3"|"ext4"|"xfs"|"ntfs"
}
}
...
]
--vpc-lattice-configurations
(list)
The VPC Lattice configuration for the service being created.
(structure)
The VPC Lattice configuration for your service that holds the information for the target group(s) Amazon ECS tasks will be registered to.
roleArn -> (string)
The ARN of the IAM role to associate with this VPC Lattice configuration. This is the Amazon ECS infrastructure IAM role that is used to manage your VPC Lattice infrastructure.targetGroupArn -> (string)
The full Amazon Resource Name (ARN) of the target group or groups associated with the VPC Lattice configuration that the Amazon ECS tasks will be registered to.portName -> (string)
The name of the port mapping to register in the VPC Lattice target group. This is the name of theportMapping
you defined in your task definition.
Shorthand Syntax:
roleArn=string,targetGroupArn=string,portName=string ...
JSON Syntax:
[
{
"roleArn": "string",
"targetGroupArn": "string",
"portName": "string"
}
...
]
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command’s default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format
(string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb://
will always be treated as binary and use the file contents directly regardless of the cli-binary-format
setting. When using file://
the file contents will need to properly formatted for the configured cli-binary-format
.
--no-cli-pager
(boolean)
Disable cli pager for output.
--cli-auto-prompt
(boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt
(boolean)
Disable automatically prompt for CLI input parameters.
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
Example 1: To create a service with a Fargate task
The following create-service
example shows how to create a service using a Fargate task.
aws ecs create-service \
--cluster MyCluster \
--service-name MyService \
--task-definition sample-fargate:1 \
--desired-count 2 \
--launch-type FARGATE \
--platform-version LATEST \
--network-configuration "awsvpcConfiguration={subnets=[subnet-12344321],securityGroups=[sg-12344321],assignPublicIp=ENABLED}" \
--tags key=key1,value=value1 key=key2,value=value2 key=key3,value=value3
Output:
{
"service": {
"serviceArn": "arn:aws:ecs:us-west-2:123456789012:service/MyCluster/MyService",
"serviceName": "MyService",
"clusterArn": "arn:aws:ecs:us-west-2:123456789012:cluster/MyCluster",
"loadBalancers": [],
"serviceRegistries": [],
"status": "ACTIVE",
"desiredCount": 2,
"runningCount": 0,
"pendingCount": 0,
"launchType": "FARGATE",
"platformVersion": "LATEST",
"taskDefinition": "arn:aws:ecs:us-west-2:123456789012:task-definition/sample-fargate:1",
"deploymentConfiguration": {
"maximumPercent": 200,
"minimumHealthyPercent": 100
},
"deployments": [
{
"id": "ecs-svc/1234567890123456789",
"status": "PRIMARY",
"taskDefinition": "arn:aws:ecs:us-west-2:123456789012:task-definition/sample-fargate:1",
"desiredCount": 2,
"pendingCount": 0,
"runningCount": 0,
"createdAt": 1557119253.821,
"updatedAt": 1557119253.821,
"launchType": "FARGATE",
"platformVersion": "1.3.0",
"networkConfiguration": {
"awsvpcConfiguration": {
"subnets": [
"subnet-12344321"
],
"securityGroups": [
"sg-12344321"
],
"assignPublicIp": "ENABLED"
}
}
}
],
"roleArn": "arn:aws:iam::123456789012:role/aws-service-role/ecs.amazonaws.com/AWSServiceRoleForECS",
"events": [],
"createdAt": 1557119253.821,
"placementConstraints": [],
"placementStrategy": [],
"networkConfiguration": {
"awsvpcConfiguration": {
"subnets": [
"subnet-12344321"
],
"securityGroups": [
"sg-12344321"
],
"assignPublicIp": "ENABLED"
}
},
"schedulingStrategy": "REPLICA",
"tags": [
{
"key": "key1",
"value": "value1"
},
{
"key": "key2",
"value": "value2"
},
{
"key": "key3",
"value": "value3"
}
],
"enableECSManagedTags": false,
"propagateTags": "NONE"
}
}
Example 2: To create a service using the EC2 launch type
The following create-service
example shows how to create a service called ecs-simple-service
with a task that uses the EC2 launch type. The service uses the sleep360
task definition and it maintains 1 instantiation of the task.
aws ecs create-service \
--cluster MyCluster \
--service-name ecs-simple-service \
--task-definition sleep360:2 \
--desired-count 1
Output:
{
"service": {
"serviceArn": "arn:aws:ecs:us-west-2:123456789012:service/MyCluster/ecs-simple-service",
"serviceName": "ecs-simple-service",
"clusterArn": "arn:aws:ecs:us-west-2:123456789012:cluster/MyCluster",
"loadBalancers": [],
"serviceRegistries": [],
"status": "ACTIVE",
"desiredCount": 1,
"runningCount": 0,
"pendingCount": 0,
"launchType": "EC2",
"taskDefinition": "arn:aws:ecs:us-west-2:123456789012:task-definition/sleep360:2",
"deploymentConfiguration": {
"maximumPercent": 200,
"minimumHealthyPercent": 100
},
"deployments": [
{
"id": "ecs-svc/1234567890123456789",
"status": "PRIMARY",
"taskDefinition": "arn:aws:ecs:us-west-2:123456789012:task-definition/sleep360:2",
"desiredCount": 1,
"pendingCount": 0,
"runningCount": 0,
"createdAt": 1557206498.798,
"updatedAt": 1557206498.798,
"launchType": "EC2"
}
],
"events": [],
"createdAt": 1557206498.798,
"placementConstraints": [],
"placementStrategy": [],
"schedulingStrategy": "REPLICA",
"enableECSManagedTags": false,
"propagateTags": "NONE"
}
}
Example 3: To create a service that uses an external deployment controller
The following create-service
example creates a service that uses an external deployment controller.
aws ecs create-service \
--cluster MyCluster \
--service-name MyService \
--deployment-controller type=EXTERNAL \
--desired-count 1
Output:
{
"service": {
"serviceArn": "arn:aws:ecs:us-west-2:123456789012:service/MyCluster/MyService",
"serviceName": "MyService",
"clusterArn": "arn:aws:ecs:us-west-2:123456789012:cluster/MyCluster",
"loadBalancers": [],
"serviceRegistries": [],
"status": "ACTIVE",
"desiredCount": 1,
"runningCount": 0,
"pendingCount": 0,
"launchType": "EC2",
"deploymentConfiguration": {
"maximumPercent": 200,
"minimumHealthyPercent": 100
},
"taskSets": [],
"deployments": [],
"roleArn": "arn:aws:iam::123456789012:role/aws-service-role/ecs.amazonaws.com/AWSServiceRoleForECS",
"events": [],
"createdAt": 1557128207.101,
"placementConstraints": [],
"placementStrategy": [],
"schedulingStrategy": "REPLICA",
"deploymentController": {
"type": "EXTERNAL"
},
"enableECSManagedTags": false,
"propagateTags": "NONE"
}
}
Example 4: To create a new service behind a load balancer
The following create-service
example shows how to create a service that is behind a load balancer. You must have a load balancer configured in the same Region as your container instance. This example uses the --cli-input-json
option and a JSON input file called ecs-simple-service-elb.json
with the following content:
{
"serviceName": "ecs-simple-service-elb",
"taskDefinition": "ecs-demo",
"loadBalancers": [
{
"loadBalancerName": "EC2Contai-EcsElast-123456789012",
"containerName": "simple-demo",
"containerPort": 80
}
],
"desiredCount": 10,
"role": "ecsServiceRole"
}
Command:
aws ecs create-service \
--cluster MyCluster \
--service-name ecs-simple-service-elb \
--cli-input-json file://ecs-simple-service-elb.json
Output:
{
"service": {
"status": "ACTIVE",
"taskDefinition": "arn:aws:ecs:us-west-2:123456789012:task-definition/ecs-demo:1",
"pendingCount": 0,
"loadBalancers": [
{
"containerName": "ecs-demo",
"containerPort": 80,
"loadBalancerName": "EC2Contai-EcsElast-123456789012"
}
],
"roleArn": "arn:aws:iam::123456789012:role/ecsServiceRole",
"desiredCount": 10,
"serviceName": "ecs-simple-service-elb",
"clusterArn": "arn:aws:ecs:<us-west-2:123456789012:cluster/MyCluster",
"serviceArn": "arn:aws:ecs:us-west-2:123456789012:service/ecs-simple-service-elb",
"deployments": [
{
"status": "PRIMARY",
"pendingCount": 0,
"createdAt": 1428100239.123,
"desiredCount": 10,
"taskDefinition": "arn:aws:ecs:us-west-2:123456789012:task-definition/ecs-demo:1",
"updatedAt": 1428100239.123,
"id": "ecs-svc/1234567890123456789",
"runningCount": 0
}
],
"events": [],
"runningCount": 0
}
}
For more information, see Creating a Service in the Amazon ECS Developer Guide.
service -> (structure)
The full description of your service following the create call.
A service will return either a
capacityProviderStrategy
orlaunchType
parameter, but not both, depending where one was specified when it was created.If a service is using the
ECS
deployment controller, thedeploymentController
andtaskSets
parameters will not be returned.if the service uses the
CODE_DEPLOY
deployment controller, thedeploymentController
,taskSets
anddeployments
parameters will be returned, however thedeployments
parameter will be an empty list.serviceArn -> (string)
The ARN that identifies the service. For more information about the ARN format, see Amazon Resource Name (ARN) in the Amazon ECS Developer Guide .serviceName -> (string)
The name of your service. Up to 255 letters (uppercase and lowercase), numbers, underscores, and hyphens are allowed. Service names must be unique within a cluster. However, you can have similarly named services in multiple clusters within a Region or across multiple Regions.clusterArn -> (string)
The Amazon Resource Name (ARN) of the cluster that hosts the service.loadBalancers -> (list)
A list of Elastic Load Balancing load balancer objects. It contains the load balancer name, the container name, and the container port to access from the load balancer. The container name is as it appears in a container definition.
(structure)
The load balancer configuration to use with a service or task set.
When you add, update, or remove a load balancer configuration, Amazon ECS starts a new deployment with the updated Elastic Load Balancing configuration. This causes tasks to register to and deregister from load balancers.
We recommend that you verify this on a test environment before you update the Elastic Load Balancing configuration.
A service-linked role is required for services that use multiple target groups. For more information, see Using service-linked roles in the Amazon Elastic Container Service Developer Guide .
targetGroupArn -> (string)
The full Amazon Resource Name (ARN) of the Elastic Load Balancing target group or groups associated with a service or task set.
A target group ARN is only specified when using an Application Load Balancer or Network Load Balancer.
For services using the
ECS
deployment controller, you can specify one or multiple target groups. For more information, see Registering multiple target groups with a service in the Amazon Elastic Container Service Developer Guide .For services using the
CODE_DEPLOY
deployment controller, you’re required to define two target groups for the load balancer. For more information, see Blue/green deployment with CodeDeploy in the Amazon Elastic Container Service Developer Guide .Warning
If your service’s task definition uses theawsvpc
network mode, you must chooseip
as the target type, notinstance
. Do this when creating your target groups because tasks that use theawsvpc
network mode are associated with an elastic network interface, not an Amazon EC2 instance. This network mode is required for the Fargate launch type.loadBalancerName -> (string)
The name of the load balancer to associate with the Amazon ECS service or task set.
If you are using an Application Load Balancer or a Network Load Balancer the load balancer name parameter should be omitted.
containerName -> (string)
The name of the container (as it appears in a container definition) to associate with the load balancer.
You need to specify the container name when configuring the target group for an Amazon ECS load balancer.
containerPort -> (integer)
The port on the container to associate with the load balancer. This port must correspond to acontainerPort
in the task definition the tasks in the service are using. For tasks that use the EC2 launch type, the container instance they’re launched on must allow ingress traffic on thehostPort
of the port mapping.serviceRegistries -> (list)
The details for the service discovery registries to assign to this service. For more information, see Service Discovery .
(structure)
The details for the service registry.
Each service may be associated with one service registry. Multiple service registries for each service are not supported.
When you add, update, or remove the service registries configuration, Amazon ECS starts a new deployment. New tasks are registered and deregistered to the updated service registry configuration.
registryArn -> (string)
The Amazon Resource Name (ARN) of the service registry. The currently supported service registry is Cloud Map. For more information, see CreateService .port -> (integer)
The port value used if your service discovery service specified an SRV record. This field might be used if both theawsvpc
network mode and SRV records are used.containerName -> (string)
The container name value to be used for your service discovery service. It’s already specified in the task definition. If the task definition that your service task specifies uses thebridge
orhost
network mode, you must specify acontainerName
andcontainerPort
combination from the task definition. If the task definition that your service task specifies uses theawsvpc
network mode and a type SRV DNS record is used, you must specify either acontainerName
andcontainerPort
combination or aport
value. However, you can’t specify both.containerPort -> (integer)
The port value to be used for your service discovery service. It’s already specified in the task definition. If the task definition your service task specifies uses thebridge
orhost
network mode, you must specify acontainerName
andcontainerPort
combination from the task definition. If the task definition your service task specifies uses theawsvpc
network mode and a type SRV DNS record is used, you must specify either acontainerName
andcontainerPort
combination or aport
value. However, you can’t specify both.status -> (string)
The status of the service. The valid values areACTIVE
,DRAINING
, orINACTIVE
.desiredCount -> (integer)
The desired number of instantiations of the task definition to keep running on the service. This value is specified when the service is created with CreateService , and it can be modified with UpdateService .runningCount -> (integer)
The number of tasks in the cluster that are in theRUNNING
state.pendingCount -> (integer)
The number of tasks in the cluster that are in thePENDING
state.launchType -> (string)
The launch type the service is using. When using the DescribeServices API, this field is omitted if the service was created using a capacity provider strategy.capacityProviderStrategy -> (list)
The capacity provider strategy the service uses. When using the DescribeServices API, this field is omitted if the service was created using a launch type.
(structure)
The details of a capacity provider strategy. A capacity provider strategy can be set when using the RunTask or CreateCluster APIs or as the default capacity provider strategy for a cluster with the
CreateCluster
API.Only capacity providers that are already associated with a cluster and have an
ACTIVE
orUPDATING
status can be used in a capacity provider strategy. The PutClusterCapacityProviders API is used to associate a capacity provider with a cluster.If specifying a capacity provider that uses an Auto Scaling group, the capacity provider must already be created. New Auto Scaling group capacity providers can be created with the CreateClusterCapacityProvider API operation.
To use a Fargate capacity provider, specify either the
FARGATE
orFARGATE_SPOT
capacity providers. The Fargate capacity providers are available to all accounts and only need to be associated with a cluster to be used in a capacity provider strategy.With
FARGATE_SPOT
, you can run interruption tolerant tasks at a rate that’s discounted compared to theFARGATE
price.FARGATE_SPOT
runs tasks on spare compute capacity. When Amazon Web Services needs the capacity back, your tasks are interrupted with a two-minute warning.FARGATE_SPOT
supports Linux tasks with the X86_64 architecture on platform version 1.3.0 or later.FARGATE_SPOT
supports Linux tasks with the ARM64 architecture on platform version 1.4.0 or later.A capacity provider strategy may contain a maximum of 6 capacity providers.
capacityProvider -> (string)
The short name of the capacity provider.weight -> (integer)
The weight value designates the relative percentage of the total number of tasks launched that should use the specified capacity provider. The
weight
value is taken into consideration after thebase
value, if defined, is satisfied.If no
weight
value is specified, the default value of0
is used. When multiple capacity providers are specified within a capacity provider strategy, at least one of the capacity providers must have a weight value greater than zero and any capacity providers with a weight of0
can’t be used to place tasks. If you specify multiple capacity providers in a strategy that all have a weight of0
, anyRunTask
orCreateService
actions using the capacity provider strategy will fail.An example scenario for using weights is defining a strategy that contains two capacity providers and both have a weight of
1
, then when thebase
is satisfied, the tasks will be split evenly across the two capacity providers. Using that same logic, if you specify a weight of1
for capacityProviderA and a weight of4
for capacityProviderB , then for every one task that’s run using capacityProviderA , four tasks would use capacityProviderB .base -> (integer)
The base value designates how many tasks, at a minimum, to run on the specified capacity provider. Only one capacity provider in a capacity provider strategy can have a base defined. If no value is specified, the default value of0
is used.platformVersion -> (string)
The platform version to run your service on. A platform version is only specified for tasks that are hosted on Fargate. If one isn’t specified, theLATEST
platform version is used. For more information, see Fargate Platform Versions in the Amazon Elastic Container Service Developer Guide .platformFamily -> (string)
The operating system that your tasks in the service run on. A platform family is specified only for tasks using the Fargate launch type.
All tasks that run as part of this service must use the same
platformFamily
value as the service (for example,LINUX
).taskDefinition -> (string)
The task definition to use for tasks in the service. This value is specified when the service is created with CreateService , and it can be modified with UpdateService .deploymentConfiguration -> (structure)
Optional deployment parameters that control how many tasks run during the deployment and the ordering of stopping and starting tasks.
deploymentCircuitBreaker -> (structure)
Note
The deployment circuit breaker can only be used for services using the rolling update (ECS
) deployment type.The deployment circuit breaker determines whether a service deployment will fail if the service can’t reach a steady state. If you use the deployment circuit breaker, a service deployment will transition to a failed state and stop launching new tasks. If you use the rollback option, when a service deployment fails, the service is rolled back to the last deployment that completed successfully. For more information, see Rolling update in the Amazon Elastic Container Service Developer Guide
enable -> (boolean)
Determines whether to use the deployment circuit breaker logic for the service.rollback -> (boolean)
Determines whether to configure Amazon ECS to roll back the service if a service deployment fails. If rollback is on, when a service deployment fails, the service is rolled back to the last deployment that completed successfully.maximumPercent -> (integer)
If a service is using the rolling update (
ECS
) deployment type, themaximumPercent
parameter represents an upper limit on the number of your service’s tasks that are allowed in theRUNNING
orPENDING
state during a deployment, as a percentage of thedesiredCount
(rounded down to the nearest integer). This parameter enables you to define the deployment batch size. For example, if your service is using theREPLICA
service scheduler and has adesiredCount
of four tasks and amaximumPercent
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 defaultmaximumPercent
value for a service using theREPLICA
service scheduler is 200%.If a service is using either the blue/green (
CODE_DEPLOY
) orEXTERNAL
deployment types, and tasks in the service use the EC2 launch type, the maximum percent value is set to the default value. The maximum percent value is used to define the upper limit on the number of the tasks in the service that remain in theRUNNING
state while the container instances are in theDRAINING
state.Note
You can’t specify a custommaximumPercent
value for a service that uses either the blue/green (CODE_DEPLOY
) orEXTERNAL
deployment types and has tasks that use the EC2 launch type.If the tasks in the service use the Fargate launch type, the maximum percent value is not used, although it is returned when describing your service.
minimumHealthyPercent -> (integer)
If a service is using the rolling update (
ECS
) deployment type, theminimumHealthyPercent
represents a lower limit on the number of your service’s tasks that must remain in theRUNNING
state during a deployment, as a percentage of thedesiredCount
(rounded up to the nearest integer). This parameter enables you to deploy without using additional cluster capacity. For example, if your service has adesiredCount
of four tasks and aminimumHealthyPercent
of 50%, the service scheduler may stop two existing tasks to free up cluster capacity before starting two new tasks.For services that do not use a load balancer, the following should be noted:
- A service is considered healthy if all essential containers within the tasks in the service pass their health checks.
- If a task has no essential containers with a health check defined, the service scheduler will wait for 40 seconds after a task reaches a
RUNNING
state before the task is counted towards the minimum healthy percent total.- If a task has one or more essential containers with a health check defined, the service scheduler will wait for the task to reach a healthy status before counting it towards the minimum healthy percent total. A task is considered healthy when all essential containers within the task have passed their health checks. The amount of time the service scheduler can wait for is determined by the container health check settings.
For services that do use a load balancer, the following should be noted:
- If a task has no essential containers with a health check defined, the service scheduler will wait for the load balancer target group health check to return a healthy status before counting the task towards the minimum healthy percent total.
- If a task has an essential container with a health check defined, the service scheduler will wait for both the task to reach a healthy status and the load balancer target group health check to return a healthy status before counting the task towards the minimum healthy percent total.
The default value for a replica service for
minimumHealthyPercent
is 100%. The defaultminimumHealthyPercent
value for a service using theDAEMON
service schedule is 0% for the CLI, the Amazon Web Services SDKs, and the APIs and 50% for the Amazon Web Services Management Console.The minimum number of healthy tasks during a deployment is the
desiredCount
multiplied by theminimumHealthyPercent
/100, rounded up to the nearest integer value.If a service is using either the blue/green (
CODE_DEPLOY
) orEXTERNAL
deployment types and is running tasks that use the EC2 launch type, the minimum healthy percent value is set to the default value. The minimum healthy percent value is used to define the lower limit on the number of the tasks in the service that remain in theRUNNING
state while the container instances are in theDRAINING
state.Note
You can’t specify a customminimumHealthyPercent
value for a service that uses either the blue/green (CODE_DEPLOY
) orEXTERNAL
deployment types and has tasks that use the EC2 launch type.If a service is using either the blue/green (
CODE_DEPLOY
) orEXTERNAL
deployment types and is running tasks that use the Fargate launch type, the minimum healthy percent value is not used, although it is returned when describing your service.alarms -> (structure)
Information about the CloudWatch alarms.
alarmNames -> (list)
One or more CloudWatch alarm names. Use a “,” to separate the alarms.
(string)
rollback -> (boolean)
Determines whether to configure Amazon ECS to roll back the service if a service deployment fails. If rollback is used, when a service deployment fails, the service is rolled back to the last deployment that completed successfully.enable -> (boolean)
Determines whether to use the CloudWatch alarm option in the service deployment process.taskSets -> (list)
Information about a set of Amazon ECS tasks in either an CodeDeploy or an
EXTERNAL
deployment. An Amazon ECS task set includes details such as the desired number of tasks, how many tasks are running, and whether the task set serves production traffic.(structure)
Information about a set of Amazon ECS tasks in either an CodeDeploy or an
EXTERNAL
deployment. An Amazon ECS task set includes details such as the desired number of tasks, how many tasks are running, and whether the task set serves production traffic.id -> (string)
The ID of the task set.taskSetArn -> (string)
The Amazon Resource Name (ARN) of the task set.serviceArn -> (string)
The Amazon Resource Name (ARN) of the service the task set exists in.clusterArn -> (string)
The Amazon Resource Name (ARN) of the cluster that the service that hosts the task set exists in.startedBy -> (string)
The tag specified when a task set is started. If an CodeDeploy deployment created the task set, thestartedBy
parameter isCODE_DEPLOY
. If an external deployment created the task set, thestartedBy
field isn’t used.externalId -> (string)
The external ID associated with the task set.
If an CodeDeploy deployment created a task set, the
externalId
parameter contains the CodeDeploy deployment ID.If a task set is created for an external deployment and is associated with a service discovery registry, the
externalId
parameter contains theECS_TASK_SET_EXTERNAL_ID
Cloud Map attribute.status -> (string)
The status of the task set. The following describes each state.
PRIMARYThe task set is serving production traffic.
ACTIVEThe task set isn’t serving production traffic.
DRAININGThe tasks in the task set are being stopped, and their corresponding targets are being deregistered from their target group.
taskDefinition -> (string)
The task definition that the task set is using.computedDesiredCount -> (integer)
The computed desired count for the task set. This is calculated by multiplying the service’sdesiredCount
by the task set’sscale
percentage. The result is always rounded up. For example, if the computed desired count is 1.2, it rounds up to 2 tasks.pendingCount -> (integer)
The number of tasks in the task set that are in thePENDING
status during a deployment. A task in thePENDING
state is preparing to enter theRUNNING
state. A task set enters thePENDING
status when it launches for the first time or when it’s restarted after being in theSTOPPED
state.runningCount -> (integer)
The number of tasks in the task set that are in theRUNNING
status during a deployment. A task in theRUNNING
state is running and ready for use.createdAt -> (timestamp)
The Unix timestamp for the time when the task set was created.updatedAt -> (timestamp)
The Unix timestamp for the time when the task set was last updated.launchType -> (string)
The launch type the tasks in the task set are using. For more information, see Amazon ECS launch types in the Amazon Elastic Container Service Developer Guide .capacityProviderStrategy -> (list)
The capacity provider strategy that are associated with the task set.
(structure)
The details of a capacity provider strategy. A capacity provider strategy can be set when using the RunTask or CreateCluster APIs or as the default capacity provider strategy for a cluster with the
CreateCluster
API.Only capacity providers that are already associated with a cluster and have an
ACTIVE
orUPDATING
status can be used in a capacity provider strategy. The PutClusterCapacityProviders API is used to associate a capacity provider with a cluster.If specifying a capacity provider that uses an Auto Scaling group, the capacity provider must already be created. New Auto Scaling group capacity providers can be created with the CreateClusterCapacityProvider API operation.
To use a Fargate capacity provider, specify either the
FARGATE
orFARGATE_SPOT
capacity providers. The Fargate capacity providers are available to all accounts and only need to be associated with a cluster to be used in a capacity provider strategy.With
FARGATE_SPOT
, you can run interruption tolerant tasks at a rate that’s discounted compared to theFARGATE
price.FARGATE_SPOT
runs tasks on spare compute capacity. When Amazon Web Services needs the capacity back, your tasks are interrupted with a two-minute warning.FARGATE_SPOT
supports Linux tasks with the X86_64 architecture on platform version 1.3.0 or later.FARGATE_SPOT
supports Linux tasks with the ARM64 architecture on platform version 1.4.0 or later.A capacity provider strategy may contain a maximum of 6 capacity providers.
capacityProvider -> (string)
The short name of the capacity provider.weight -> (integer)
The weight value designates the relative percentage of the total number of tasks launched that should use the specified capacity provider. The
weight
value is taken into consideration after thebase
value, if defined, is satisfied.If no
weight
value is specified, the default value of0
is used. When multiple capacity providers are specified within a capacity provider strategy, at least one of the capacity providers must have a weight value greater than zero and any capacity providers with a weight of0
can’t be used to place tasks. If you specify multiple capacity providers in a strategy that all have a weight of0
, anyRunTask
orCreateService
actions using the capacity provider strategy will fail.An example scenario for using weights is defining a strategy that contains two capacity providers and both have a weight of
1
, then when thebase
is satisfied, the tasks will be split evenly across the two capacity providers. Using that same logic, if you specify a weight of1
for capacityProviderA and a weight of4
for capacityProviderB , then for every one task that’s run using capacityProviderA , four tasks would use capacityProviderB .base -> (integer)
The base value designates how many tasks, at a minimum, to run on the specified capacity provider. Only one capacity provider in a capacity provider strategy can have a base defined. If no value is specified, the default value of0
is used.platformVersion -> (string)
The Fargate platform version where the tasks in the task set are running. A platform version is only specified for tasks run on Fargate. For more information, see Fargate platform versions in the Amazon Elastic Container Service Developer Guide .platformFamily -> (string)
The operating system that your tasks in the set are running on. A platform family is specified only for tasks that use the Fargate launch type.
All tasks in the set must have the same value.
networkConfiguration -> (structure)
The network configuration for the task set.
awsvpcConfiguration -> (structure)
The VPC subnets and security groups that are associated with a task.
Note
All specified subnets and security groups must be from the same VPC.subnets -> (list)
The IDs of the subnets associated with the task or service. There’s a limit of 16 subnets that can be specified per
awsvpcConfiguration
.Note
All specified subnets must be from the same VPC.(string)
securityGroups -> (list)
The IDs of the security groups associated with the task or service. If you don’t specify a security group, the default security group for the VPC is used. There’s a limit of 5 security groups that can be specified per
awsvpcConfiguration
.Note
All specified security groups must be from the same VPC.(string)
assignPublicIp -> (string)
Whether the task’s elastic network interface receives a public IP address. The default value isDISABLED
.loadBalancers -> (list)
Details on a load balancer that are used with a task set.
(structure)
The load balancer configuration to use with a service or task set.
When you add, update, or remove a load balancer configuration, Amazon ECS starts a new deployment with the updated Elastic Load Balancing configuration. This causes tasks to register to and deregister from load balancers.
We recommend that you verify this on a test environment before you update the Elastic Load Balancing configuration.
A service-linked role is required for services that use multiple target groups. For more information, see Using service-linked roles in the Amazon Elastic Container Service Developer Guide .
targetGroupArn -> (string)
The full Amazon Resource Name (ARN) of the Elastic Load Balancing target group or groups associated with a service or task set.
A target group ARN is only specified when using an Application Load Balancer or Network Load Balancer.
For services using the
ECS
deployment controller, you can specify one or multiple target groups. For more information, see Registering multiple target groups with a service in the Amazon Elastic Container Service Developer Guide .For services using the
CODE_DEPLOY
deployment controller, you’re required to define two target groups for the load balancer. For more information, see Blue/green deployment with CodeDeploy in the Amazon Elastic Container Service Developer Guide .Warning
If your service’s task definition uses theawsvpc
network mode, you must chooseip
as the target type, notinstance
. Do this when creating your target groups because tasks that use theawsvpc
network mode are associated with an elastic network interface, not an Amazon EC2 instance. This network mode is required for the Fargate launch type.loadBalancerName -> (string)
The name of the load balancer to associate with the Amazon ECS service or task set.
If you are using an Application Load Balancer or a Network Load Balancer the load balancer name parameter should be omitted.
containerName -> (string)
The name of the container (as it appears in a container definition) to associate with the load balancer.
You need to specify the container name when configuring the target group for an Amazon ECS load balancer.
containerPort -> (integer)
The port on the container to associate with the load balancer. This port must correspond to acontainerPort
in the task definition the tasks in the service are using. For tasks that use the EC2 launch type, the container instance they’re launched on must allow ingress traffic on thehostPort
of the port mapping.serviceRegistries -> (list)
The details for the service discovery registries to assign to this task set. For more information, see Service discovery .
(structure)
The details for the service registry.
Each service may be associated with one service registry. Multiple service registries for each service are not supported.
When you add, update, or remove the service registries configuration, Amazon ECS starts a new deployment. New tasks are registered and deregistered to the updated service registry configuration.
registryArn -> (string)
The Amazon Resource Name (ARN) of the service registry. The currently supported service registry is Cloud Map. For more information, see CreateService .port -> (integer)
The port value used if your service discovery service specified an SRV record. This field might be used if both theawsvpc
network mode and SRV records are used.containerName -> (string)
The container name value to be used for your service discovery service. It’s already specified in the task definition. If the task definition that your service task specifies uses thebridge
orhost
network mode, you must specify acontainerName
andcontainerPort
combination from the task definition. If the task definition that your service task specifies uses theawsvpc
network mode and a type SRV DNS record is used, you must specify either acontainerName
andcontainerPort
combination or aport
value. However, you can’t specify both.containerPort -> (integer)
The port value to be used for your service discovery service. It’s already specified in the task definition. If the task definition your service task specifies uses thebridge
orhost
network mode, you must specify acontainerName
andcontainerPort
combination from the task definition. If the task definition your service task specifies uses theawsvpc
network mode and a type SRV DNS record is used, you must specify either acontainerName
andcontainerPort
combination or aport
value. However, you can’t specify both.scale -> (structure)
A floating-point percentage of your desired number of tasks to place and keep running in the task set.
value -> (double)
The value, specified as a percent total of a service’sdesiredCount
, to scale the task set. Accepted values are numbers between 0 and 100.unit -> (string)
The unit of measure for the scale value.stabilityStatus -> (string)
The stability status. This indicates whether the task set has reached a steady state. If the following conditions are met, the task set are in
STEADY_STATE
:
- The task
runningCount
is equal to thecomputedDesiredCount
.- The
pendingCount
is0
.- There are no tasks that are running on container instances in the
DRAINING
status.- All tasks are reporting a healthy status from the load balancers, service discovery, and container health checks.
If any of those conditions aren’t met, the stability status returns
STABILIZING
.stabilityStatusAt -> (timestamp)
The Unix timestamp for the time when the task set stability status was retrieved.tags -> (list)
The metadata that you apply to the task set to help you categorize and organize them. Each tag consists of a key and an optional value. You define both.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.(structure)
The metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value. You define them.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.key -> (string)
One part of a key-value pair that make up a tag. Akey
is a general label that acts like a category for more specific tag values.value -> (string)
The optional part of a key-value pair that make up a tag. Avalue
acts as a descriptor within a tag category (key).fargateEphemeralStorage -> (structure)
The Fargate ephemeral storage settings for the task set.
kmsKeyId -> (string)
Specify an Key Management Service key ID to encrypt the ephemeral storage for deployment.deployments -> (list)
The current state of deployments for the service.
(structure)
The details of an Amazon ECS service deployment. This is used only when a service uses the
ECS
deployment controller type.id -> (string)
The ID of the deployment.status -> (string)
The status of the deployment. The following describes each state.
PRIMARYThe most recent deployment of a service.
ACTIVEA service deployment that still has running tasks, but are in the process of being replaced with a new
PRIMARY
deployment.INACTIVEA deployment that has been completely replaced.
taskDefinition -> (string)
The most recent task definition that was specified for the tasks in the service to use.desiredCount -> (integer)
The most recent desired count of tasks that was specified for the service to deploy or maintain.pendingCount -> (integer)
The number of tasks in the deployment that are in thePENDING
status.runningCount -> (integer)
The number of tasks in the deployment that are in theRUNNING
status.failedTasks -> (integer)
The number of consecutively failed tasks in the deployment. A task is considered a failure if the service scheduler can’t launch the task, the task doesn’t transition to a
RUNNING
state, or if it fails any of its defined health checks and is stopped.Note
Once a service deployment has one or more successfully running tasks, the failed task count resets to zero and stops being evaluated.createdAt -> (timestamp)
The Unix timestamp for the time when the service deployment was created.updatedAt -> (timestamp)
The Unix timestamp for the time when the service deployment was last updated.capacityProviderStrategy -> (list)
The capacity provider strategy that the deployment is using.
(structure)
The details of a capacity provider strategy. A capacity provider strategy can be set when using the RunTask or CreateCluster APIs or as the default capacity provider strategy for a cluster with the
CreateCluster
API.Only capacity providers that are already associated with a cluster and have an
ACTIVE
orUPDATING
status can be used in a capacity provider strategy. The PutClusterCapacityProviders API is used to associate a capacity provider with a cluster.If specifying a capacity provider that uses an Auto Scaling group, the capacity provider must already be created. New Auto Scaling group capacity providers can be created with the CreateClusterCapacityProvider API operation.
To use a Fargate capacity provider, specify either the
FARGATE
orFARGATE_SPOT
capacity providers. The Fargate capacity providers are available to all accounts and only need to be associated with a cluster to be used in a capacity provider strategy.With
FARGATE_SPOT
, you can run interruption tolerant tasks at a rate that’s discounted compared to theFARGATE
price.FARGATE_SPOT
runs tasks on spare compute capacity. When Amazon Web Services needs the capacity back, your tasks are interrupted with a two-minute warning.FARGATE_SPOT
supports Linux tasks with the X86_64 architecture on platform version 1.3.0 or later.FARGATE_SPOT
supports Linux tasks with the ARM64 architecture on platform version 1.4.0 or later.A capacity provider strategy may contain a maximum of 6 capacity providers.
capacityProvider -> (string)
The short name of the capacity provider.weight -> (integer)
The weight value designates the relative percentage of the total number of tasks launched that should use the specified capacity provider. The
weight
value is taken into consideration after thebase
value, if defined, is satisfied.If no
weight
value is specified, the default value of0
is used. When multiple capacity providers are specified within a capacity provider strategy, at least one of the capacity providers must have a weight value greater than zero and any capacity providers with a weight of0
can’t be used to place tasks. If you specify multiple capacity providers in a strategy that all have a weight of0
, anyRunTask
orCreateService
actions using the capacity provider strategy will fail.An example scenario for using weights is defining a strategy that contains two capacity providers and both have a weight of
1
, then when thebase
is satisfied, the tasks will be split evenly across the two capacity providers. Using that same logic, if you specify a weight of1
for capacityProviderA and a weight of4
for capacityProviderB , then for every one task that’s run using capacityProviderA , four tasks would use capacityProviderB .base -> (integer)
The base value designates how many tasks, at a minimum, to run on the specified capacity provider. Only one capacity provider in a capacity provider strategy can have a base defined. If no value is specified, the default value of0
is used.launchType -> (string)
The launch type the tasks in the service are using. For more information, see Amazon ECS Launch Types in the Amazon Elastic Container Service Developer Guide .platformVersion -> (string)
The platform version that your tasks in the service run on. A platform version is only specified for tasks using the Fargate launch type. If one isn’t specified, theLATEST
platform version is used. For more information, see Fargate Platform Versions in the Amazon Elastic Container Service Developer Guide .platformFamily -> (string)
The operating system that your tasks in the service, or tasks are running on. A platform family is specified only for tasks using the Fargate launch type.
All tasks that run as part of this service must use the same
platformFamily
value as the service, for example,LINUX.
.networkConfiguration -> (structure)
The VPC subnet and security group configuration for tasks that receive their own elastic network interface by using the
awsvpc
networking mode.awsvpcConfiguration -> (structure)
The VPC subnets and security groups that are associated with a task.
Note
All specified subnets and security groups must be from the same VPC.subnets -> (list)
The IDs of the subnets associated with the task or service. There’s a limit of 16 subnets that can be specified per
awsvpcConfiguration
.Note
All specified subnets must be from the same VPC.(string)
securityGroups -> (list)
The IDs of the security groups associated with the task or service. If you don’t specify a security group, the default security group for the VPC is used. There’s a limit of 5 security groups that can be specified per
awsvpcConfiguration
.Note
All specified security groups must be from the same VPC.(string)
assignPublicIp -> (string)
Whether the task’s elastic network interface receives a public IP address. The default value isDISABLED
.rolloutState -> (string)
Note
TherolloutState
of a service is only returned for services that use the rolling update (ECS
) deployment type that aren’t behind a Classic Load Balancer.The rollout state of the deployment. When a service deployment is started, it begins in an
IN_PROGRESS
state. When the service reaches a steady state, the deployment transitions to aCOMPLETED
state. If the service fails to reach a steady state and circuit breaker is turned on, the deployment transitions to aFAILED
state. A deployment inFAILED
state doesn’t launch any new tasks. For more information, see DeploymentCircuitBreaker .rolloutStateReason -> (string)
A description of the rollout state of a deployment.serviceConnectConfiguration -> (structure)
The details of the Service Connect configuration that’s used by this deployment. Compare the configuration between multiple deployments when troubleshooting issues with new deployments.
The configuration for this service to discover and connect to services, and be discovered by, and connected from, other services within a namespace.
Tasks that run in a namespace can use short names to connect to services in the namespace. Tasks can connect to services across all of the clusters in the namespace. Tasks connect through a managed proxy container that collects logs and metrics for increased visibility. Only the tasks that Amazon ECS services create are supported with Service Connect. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
enabled -> (boolean)
Specifies whether to use Service Connect with this service.namespace -> (string)
The namespace name or full Amazon Resource Name (ARN) of the Cloud Map namespace for use with Service Connect. The namespace must be in the same Amazon Web Services Region as the Amazon ECS service and cluster. The type of namespace doesn’t affect Service Connect. For more information about Cloud Map, see Working with Services in the Cloud Map Developer Guide .services -> (list)
The list of Service Connect service objects. These are names and aliases (also known as endpoints) that are used by other Amazon ECS services to connect to this service.
This field is not required for a “client” Amazon ECS service that’s a member of a namespace only to connect to other services within the namespace. An example of this would be a frontend application that accepts incoming requests from either a load balancer that’s attached to the service or by other means.
An object selects a port from the task definition, assigns a name for the Cloud Map service, and a list of aliases (endpoints) and ports for client applications to refer to this service.
(structure)
The Service Connect service object configuration. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
portName -> (string)
TheportName
must match the name of one of theportMappings
from all the containers in the task definition of this Amazon ECS service.discoveryName -> (string)
The
discoveryName
is the name of the new Cloud Map service that Amazon ECS creates for this Amazon ECS service. This must be unique within the Cloud Map namespace. The name can contain up to 64 characters. The name can include lowercase letters, numbers, underscores (_), and hyphens (-). The name can’t start with a hyphen.If the
discoveryName
isn’t specified, the port mapping name from the task definition is used inportName.namespace
.clientAliases -> (list)
The list of client aliases for this Service Connect service. You use these to assign names that can be used by client applications. The maximum number of client aliases that you can have in this list is 1.
Each alias (“endpoint”) is a fully-qualified name and port number that other Amazon ECS tasks (“clients”) can use to connect to this service.
Each name and port mapping must be unique within the namespace.
For each
ServiceConnectService
, you must provide at least oneclientAlias
with oneport
.(structure)
Each alias (“endpoint”) is a fully-qualified name and port number that other tasks (“clients”) can use to connect to this service.
Each name and port mapping must be unique within the namespace.
Tasks that run in a namespace can use short names to connect to services in the namespace. Tasks can connect to services across all of the clusters in the namespace. Tasks connect through a managed proxy container that collects logs and metrics for increased visibility. Only the tasks that Amazon ECS services create are supported with Service Connect. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
port -> (integer)
The listening port number for the Service Connect proxy. This port is available inside of all of the tasks within the same namespace.
To avoid changing your applications in client Amazon ECS services, set this to the same port that the client application uses by default. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .
dnsName -> (string)
The
dnsName
is the name that you use in the applications of client tasks to connect to this service. The name must be a valid DNS name but doesn’t need to be fully-qualified. The name can include up to 127 characters. The name can include lowercase letters, numbers, underscores (_), hyphens (-), and periods (.). The name can’t start with a hyphen.If this parameter isn’t specified, the default value of
discoveryName.namespace
is used. If thediscoveryName
isn’t specified, the port mapping name from the task definition is used inportName.namespace
.To avoid changing your applications in client Amazon ECS services, set this to the same name that the client application uses by default. For example, a few common names are
database
,db
, or the lowercase name of a database, such asmysql
orredis
. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide .ingressPortOverride -> (integer)
The port number for the Service Connect proxy to listen on.
Use the value of this field to bypass the proxy for traffic on the port number specified in the named
portMapping
in the task definition of this application, and then use it in your VPC security groups to allow traffic into the proxy for this Amazon ECS service.In
awsvpc
mode and Fargate, the default value is the container port number. The container port number is in theportMapping
in the task definition. In bridge mode, the default value is the ephemeral port of the Service Connect proxy.timeout -> (structure)
A reference to an object that represents the configured timeouts for Service Connect.
idleTimeoutSeconds -> (integer)
The amount of time in seconds a connection will stay active while idle. A value of
0
can be set to disableidleTimeout
.The
idleTimeout
default forHTTP
/HTTP2
/GRPC
is 5 minutes.The
idleTimeout
default forTCP
is 1 hour.perRequestTimeoutSeconds -> (integer)
The amount of time waiting for the upstream to respond with a complete response per request. A value of0
can be set to disableperRequestTimeout
.perRequestTimeout
can only be set if Service ConnectappProtocol
isn’tTCP
. OnlyidleTimeout
is allowed forTCP
appProtocol
.tls -> (structure)
A reference to an object that represents a Transport Layer Security (TLS) configuration.
issuerCertificateAuthority -> (structure)
The signer certificate authority.
awsPcaAuthorityArn -> (string)
The ARN of the Amazon Web Services Private Certificate Authority certificate.kmsKey -> (string)
The Amazon Web Services Key Management Service key.roleArn -> (string)
The Amazon Resource Name (ARN) of the IAM role that’s associated with the Service Connect TLS.logConfiguration -> (structure)
The log configuration for the container. This parameter maps to
LogConfig
in the docker container create command and the--log-driver
option to docker run.By default, containers use the same logging driver that the Docker daemon uses. However, the container might use a different logging driver than the Docker daemon by specifying a log driver configuration in the container definition.
Understand the following when specifying a log configuration for your containers.
- Amazon ECS currently supports a subset of the logging drivers available to the Docker daemon. Additional log drivers may be available in future releases of the Amazon ECS container agent. For tasks on Fargate, the supported log drivers are
awslogs
,splunk
, andawsfirelens
. For tasks hosted on Amazon EC2 instances, the supported log drivers areawslogs
,fluentd
,gelf
,json-file
,journald
,``syslog`` ,splunk
, andawsfirelens
.- This parameter requires version 1.18 of the Docker Remote API or greater on your container instance.
- For tasks that are hosted on Amazon EC2 instances, the Amazon ECS container agent must register the available logging drivers with the
ECS_AVAILABLE_LOGGING_DRIVERS
environment variable before containers placed on that instance can use these log configuration options. For more information, see Amazon ECS container agent configuration in the Amazon Elastic Container Service Developer Guide .- For tasks that are on Fargate, because you don’t have access to the underlying infrastructure your tasks are hosted on, any additional software needed must be installed outside of the task. For example, the Fluentd output aggregators or a remote host running Logstash to send Gelf logs to.
logDriver -> (string)
The log driver to use for the container.
For tasks on Fargate, the supported log drivers are
awslogs
,splunk
, andawsfirelens
.For tasks hosted on Amazon EC2 instances, the supported log drivers are
awslogs
,fluentd
,gelf
,json-file
,journald
,syslog
,splunk
, andawsfirelens
.For more information about using the
awslogs
log driver, see Send Amazon ECS logs to CloudWatch in the Amazon Elastic Container Service Developer Guide .For more information about using the
awsfirelens
log driver, see Send Amazon ECS logs to an Amazon Web Services service or Amazon Web Services Partner .Note
If you have a custom driver that isn’t listed, you can fork the Amazon ECS container agent project that’s available on GitHub and customize it to work with that driver. We encourage you to submit pull requests for changes that you would like to have included. However, we don’t currently provide support for running modified copies of this software.options -> (map)
The configuration options to send to the log driver.
The options you can specify depend on the log driver. Some of the options you can specify when you use the
awslogs
log driver to route logs to Amazon CloudWatch include the following:awslogs-create-groupRequired: No
Specify whether you want the log group to be created automatically. If this option isn’t specified, it defaults to
false
.Note
Your IAM policy must include the
logs:CreateLogGroup
permission before you attempt to useawslogs-create-group
.awslogs-region
Required: Yes
Specify the Amazon Web Services Region that the
awslogs
log driver is to send your Docker logs to. You can choose to send all of your logs from clusters in different Regions to a single region in CloudWatch Logs. This is so that they’re all visible in one location. Otherwise, you can separate them by Region for more granularity. Make sure that the specified log group exists in the Region that you specify with this option.awslogs-groupRequired: Yes
Make sure to specify a log group that the
awslogs
log driver sends its log streams to.awslogs-stream-prefixRequired: Yes, when using the Fargate launch type.Optional for the EC2 launch type, required for the Fargate launch type.
Use the
awslogs-stream-prefix
option to associate a log stream with the specified prefix, the container name, and the ID of the Amazon ECS task that the container belongs to. If you specify a prefix with this option, then the log stream takes the formatprefix-name/container-name/ecs-task-id
.If you don’t specify a prefix with this option, then the log stream is named after the container ID that’s assigned by the Docker daemon on the container instance. Because it’s difficult to trace logs back to the container that sent them with just the Docker container ID (which is only available on the container instance), we recommend that you specify a prefix with this option.
For Amazon ECS services, you can use the service name as the prefix. Doing so, you can trace log streams to the service that the container belongs to, the name of the container that sent them, and the ID of the task that the container belongs to.
You must specify a stream-prefix for your logs to have your logs appear in the Log pane when using the Amazon ECS console.
awslogs-datetime-formatRequired: No
This option defines a multiline start pattern in Python
strftime
format. A log message consists of a line that matches the pattern and any following lines that don’t match the pattern. The matched line is the delimiter between log messages.One example of a use case for using this format is for parsing output such as a stack dump, which might otherwise be logged in multiple entries. The correct pattern allows it to be captured in a single entry.
For more information, see awslogs-datetime-format .
You cannot configure both the
awslogs-datetime-format
andawslogs-multiline-pattern
options.Note
Multiline logging performs regular expression parsing and matching of all log messages. This might have a negative impact on logging performance.
awslogs-multiline-pattern
Required: No
This option defines a multiline start pattern that uses a regular expression. A log message consists of a line that matches the pattern and any following lines that don’t match the pattern. The matched line is the delimiter between log messages.
For more information, see awslogs-multiline-pattern .
This option is ignored if
awslogs-datetime-format
is also configured.You cannot configure both the
awslogs-datetime-format
andawslogs-multiline-pattern
options.Note
Multiline logging performs regular expression parsing and matching of all log messages. This might have a negative impact on logging performance.
mode
Required: No
Valid values:
non-blocking
|blocking
This option defines the delivery mode of log messages from the container to CloudWatch Logs. The delivery mode you choose affects application availability when the flow of logs from container to CloudWatch is interrupted.
If you use the
blocking
mode and the flow of logs to CloudWatch is interrupted, calls from container code to write to thestdout
andstderr
streams will block. The logging thread of the application will block as a result. This may cause the application to become unresponsive and lead to container healthcheck failure.If you use the
non-blocking
mode, the container’s logs are instead stored in an in-memory intermediate buffer configured with themax-buffer-size
option. This prevents the application from becoming unresponsive when logs cannot be sent to CloudWatch. We recommend using this mode if you want to ensure service availability and are okay with some log loss. For more information, see Preventing log loss with non-blocking mode in the ``awslogs` container log driver <http://aws.amazon.com/blogs/containers/preventing-log-loss-with-non-blocking-mode-in-the-awslogs-container-log-driver/>`__ .max-buffer-sizeRequired: No
Default value:
1m
When
non-blocking
mode is used, themax-buffer-size
log option controls the size of the buffer that’s used for intermediate message storage. Make sure to specify an adequate buffer size based on your application. When the buffer fills up, further logs cannot be stored. Logs that cannot be stored are lost.To route logs using the
splunk
log router, you need to specify asplunk-token
and asplunk-url
.When you use the
awsfirelens
log router to route logs to an Amazon Web Services Service or Amazon Web Services Partner Network destination for log storage and analytics, you can set thelog-driver-buffer-limit
option to limit the number of events that are buffered in memory, before being sent to the log router container. It can help to resolve potential log loss issue because high throughput might result in memory running out for the buffer inside of Docker.Other options you can specify when using
awsfirelens
to route logs depend on the destination. When you export logs to Amazon Data Firehose, you can specify the Amazon Web Services Region withregion
and a name for the log stream withdelivery_stream
.When you export logs to Amazon Kinesis Data Streams, you can specify an Amazon Web Services Region with
region
and a data stream name withstream
.When you export logs to Amazon OpenSearch Service, you can specify options like
Name
,Host
(OpenSearch Service endpoint without protocol),Port
,Index
,Type
,Aws_auth
,Aws_region
,Suppress_Type_Name
, andtls
.When you export logs to Amazon S3, you can specify the bucket using the
bucket
option. You can also specifyregion
,total_file_size
,upload_timeout
, anduse_put_object
as options.This parameter requires version 1.19 of the Docker Remote API or greater on your container instance. To check the Docker Remote API version on your container instance, log in to your container instance and run the following command:
sudo docker version --format '{{.Server.APIVersion}}'
key -> (string)
value -> (string)
secretOptions -> (list)
The secrets to pass to the log configuration. For more information, see Specifying sensitive data in the Amazon Elastic Container Service Developer Guide .
(structure)
An object representing the secret to expose to your container. Secrets can be exposed to a container in the following ways:
- To inject sensitive data into your containers as environment variables, use the
secrets
container definition parameter.- To reference sensitive information in the log configuration of a container, use the
secretOptions
container definition parameter.For more information, see Specifying sensitive data in the Amazon Elastic Container Service Developer Guide .
name -> (string)
The name of the secret.valueFrom -> (string)
The secret to expose to the container. The supported values are either the full ARN of the Secrets Manager secret or the full ARN of the parameter in the SSM Parameter Store.
For information about the require Identity and Access Management permissions, see Required IAM permissions for Amazon ECS secrets (for Secrets Manager) or Required IAM permissions for Amazon ECS secrets (for Systems Manager Parameter store) in the Amazon Elastic Container Service Developer Guide .
Note
If the SSM Parameter Store parameter exists in the same Region as the task you’re launching, then you can use either the full ARN or name of the parameter. If the parameter exists in a different Region, then the full ARN must be specified.serviceConnectResources -> (list)
The list of Service Connect resources that are associated with this deployment. Each list entry maps a discovery name to a Cloud Map service name.
(structure)
The Service Connect resource. Each configuration maps a discovery name to a Cloud Map service name. The data is stored in Cloud Map as part of the Service Connect configuration for each discovery name of this Amazon ECS service.
A task can resolve the
dnsName
for each of theclientAliases
of a service. However a task can’t resolve the discovery names. If you want to connect to a service, refer to theServiceConnectConfiguration
of that service for the list ofclientAliases
that you can use.discoveryName -> (string)
The discovery name of this Service Connect resource.
The
discoveryName
is the name of the new Cloud Map service that Amazon ECS creates for this Amazon ECS service. This must be unique within the Cloud Map namespace. The name can contain up to 64 characters. The name can include lowercase letters, numbers, underscores (_), and hyphens (-). The name can’t start with a hyphen.If the
discoveryName
isn’t specified, the port mapping name from the task definition is used inportName.namespace
.discoveryArn -> (string)
The Amazon Resource Name (ARN) for the namespace in Cloud Map that matches the discovery name for this Service Connect resource. You can use this ARN in other integrations with Cloud Map. However, Service Connect can’t ensure connectivity outside of Amazon ECS.volumeConfigurations -> (list)
The details of the volume that was
configuredAtLaunch
. You can configure different settings like the size, throughput, volumeType, and ecryption in ServiceManagedEBSVolumeConfiguration . Thename
of the volume must match thename
from the task definition.(structure)
The configuration for a volume specified in the task definition as a volume that is configured at launch time. Currently, the only supported volume type is an Amazon EBS volume.
name -> (string)
The name of the volume. This value must match the volume name from theVolume
object in the task definition.managedEBSVolume -> (structure)
The configuration for the Amazon EBS volume that Amazon ECS creates and manages on your behalf. These settings are used to create each Amazon EBS volume, with one volume created for each task in the service. The Amazon EBS volumes are visible in your account in the Amazon EC2 console once they are created.
encrypted -> (boolean)
Indicates whether the volume should be encrypted. If no value is specified, encryption is turned on by default. This parameter maps 1:1 with theEncrypted
parameter of the CreateVolume API in the Amazon EC2 API Reference .kmsKeyId -> (string)
The Amazon Resource Name (ARN) identifier of the Amazon Web Services Key Management Service key to use for Amazon EBS encryption. When encryption is turned on and no Amazon Web Services Key Management Service key is specified, the default Amazon Web Services managed key for Amazon EBS volumes is used. This parameter maps 1:1 with the
KmsKeyId
parameter of the CreateVolume API in the Amazon EC2 API Reference .Warning
Amazon Web Services authenticates the Amazon Web Services Key Management Service key asynchronously. Therefore, if you specify an ID, alias, or ARN that is invalid, the action can appear to complete, but eventually fails.volumeType -> (string)
The volume type. This parameter maps 1:1 with the
VolumeType
parameter of the CreateVolume API in the Amazon EC2 API Reference . For more information, see Amazon EBS volume types in the Amazon EC2 User Guide .The following are the supported volume types.
- General Purpose SSD:
gp2
|gp3
- Provisioned IOPS SSD:
io1
|io2
- Throughput Optimized HDD:
st1
- Cold HDD:
sc1
- Magnetic:
standard
Note
The magnetic volume type is not supported on Fargate.sizeInGiB -> (integer)
The size of the volume in GiB. You must specify either a volume size or a snapshot ID. If you specify a snapshot ID, the snapshot size is used for the volume size by default. You can optionally specify a volume size greater than or equal to the snapshot size. This parameter maps 1:1 with the
Size
parameter of the CreateVolume API in the Amazon EC2 API Reference .The following are the supported volume size values for each volume type.
gp2
andgp3
: 1-16,384io1
andio2
: 4-16,384st1
andsc1
: 125-16,384standard
: 1-1,024snapshotId -> (string)
The snapshot that Amazon ECS uses to create the volume. You must specify either a snapshot ID or a volume size. This parameter maps 1:1 with theSnapshotId
parameter of the CreateVolume API in the Amazon EC2 API Reference .iops -> (integer)
The number of I/O operations per second (IOPS). For
gp3
,io1
, andio2
volumes, this represents the number of IOPS that are provisioned for the volume. Forgp2
volumes, this represents the baseline performance of the volume and the rate at which the volume accumulates I/O credits for bursting.The following are the supported values for each volume type.
gp3
: 3,000 - 16,000 IOPSio1
: 100 - 64,000 IOPSio2
: 100 - 256,000 IOPSThis parameter is required for
io1
andio2
volume types. The default forgp3
volumes is3,000 IOPS
. This parameter is not supported forst1
,sc1
, orstandard
volume types.This parameter maps 1:1 with the
Iops
parameter of the CreateVolume API in the Amazon EC2 API Reference .throughput -> (integer)
The throughput to provision for a volume, in MiB/s, with a maximum of 1,000 MiB/s. This parameter maps 1:1 with the
Throughput
parameter of the CreateVolume API in the Amazon EC2 API Reference .Warning
This parameter is only supported for thegp3
volume type.tagSpecifications -> (list)
The tags to apply to the volume. Amazon ECS applies service-managed tags by default. This parameter maps 1:1 with the
TagSpecifications.N
parameter of the CreateVolume API in the Amazon EC2 API Reference .(structure)
The tag specifications of an Amazon EBS volume.
resourceType -> (string)
The type of volume resource.tags -> (list)
The tags applied to this Amazon EBS volume.
AmazonECSCreated
andAmazonECSManaged
are reserved tags that can’t be used.(structure)
The metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value. You define them.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.key -> (string)
One part of a key-value pair that make up a tag. Akey
is a general label that acts like a category for more specific tag values.value -> (string)
The optional part of a key-value pair that make up a tag. Avalue
acts as a descriptor within a tag category (key).propagateTags -> (string)
Determines whether to propagate the tags from the task definition to the Amazon EBS volume. Tags can only propagate to aSERVICE
specified inServiceVolumeConfiguration
. If no value is specified, the tags aren’t propagated.roleArn -> (string)
The ARN of the IAM role to associate with this volume. This is the Amazon ECS infrastructure IAM role that is used to manage your Amazon Web Services infrastructure. We recommend using the Amazon ECS-managedAmazonECSInfrastructureRolePolicyForVolumes
IAM policy with this role. For more information, see Amazon ECS infrastructure IAM role in the Amazon ECS Developer Guide .filesystemType -> (string)
The filesystem type for the volume. For volumes created from a snapshot, you must specify the same filesystem type that the volume was using when the snapshot was created. If there is a filesystem type mismatch, the task will fail to start.
The available Linux filesystem types are
ext3
,ext4
, andxfs
. If no value is specified, thexfs
filesystem type is used by default.The available Windows filesystem types are
NTFS
.fargateEphemeralStorage -> (structure)
The Fargate ephemeral storage settings for the deployment.
kmsKeyId -> (string)
Specify an Key Management Service key ID to encrypt the ephemeral storage for deployment.vpcLatticeConfigurations -> (list)
The VPC Lattice configuration for the service deployment.
(structure)
The VPC Lattice configuration for your service that holds the information for the target group(s) Amazon ECS tasks will be registered to.
roleArn -> (string)
The ARN of the IAM role to associate with this VPC Lattice configuration. This is the Amazon ECS infrastructure IAM role that is used to manage your VPC Lattice infrastructure.targetGroupArn -> (string)
The full Amazon Resource Name (ARN) of the target group or groups associated with the VPC Lattice configuration that the Amazon ECS tasks will be registered to.portName -> (string)
The name of the port mapping to register in the VPC Lattice target group. This is the name of theportMapping
you defined in your task definition.roleArn -> (string)
The ARN of the IAM role that’s associated with the service. It allows the Amazon ECS container agent to register container instances with an Elastic Load Balancing load balancer.events -> (list)
The event stream for your service. A maximum of 100 of the latest events are displayed.
(structure)
The details for an event that’s associated with a service.
id -> (string)
The ID string for the event.createdAt -> (timestamp)
The Unix timestamp for the time when the event was triggered.message -> (string)
The event message.createdAt -> (timestamp)
The Unix timestamp for the time when the service was created.placementConstraints -> (list)
The placement constraints for the tasks in the service.
(structure)
An object representing a constraint on task placement. For more information, see Task placement constraints in the Amazon Elastic Container Service Developer Guide .
Note
If you’re using the Fargate launch type, task placement constraints aren’t supported.type -> (string)
The type of constraint. UsedistinctInstance
to ensure that each task in a particular group is running on a different container instance. UsememberOf
to restrict the selection to a group of valid candidates.expression -> (string)
A cluster query language expression to apply to the constraint. The expression can have a maximum length of 2000 characters. You can’t specify an expression if the constraint type isdistinctInstance
. For more information, see Cluster query language in the Amazon Elastic Container Service Developer Guide .placementStrategy -> (list)
The placement strategy that determines how tasks for the service are placed.
(structure)
The task placement strategy for a task or service. For more information, see Task placement strategies in the Amazon Elastic Container Service Developer Guide .
type -> (string)
The type of placement strategy. Therandom
placement strategy randomly places tasks on available candidates. Thespread
placement strategy spreads placement across available candidates evenly based on thefield
parameter. Thebinpack
strategy places tasks on available candidates that have the least available amount of the resource that’s specified with thefield
parameter. For example, if you binpack on memory, a task is placed on the instance with the least amount of remaining memory but still enough to run the task.field -> (string)
The field to apply the placement strategy against. For thespread
placement strategy, valid values areinstanceId
(orhost
, which has the same effect), or any platform or custom attribute that’s applied to a container instance, such asattribute:ecs.availability-zone
. For thebinpack
placement strategy, valid values arecpu
andmemory
. For therandom
placement strategy, this field is not used.networkConfiguration -> (structure)
The VPC subnet and security group configuration for tasks that receive their own elastic network interface by using the
awsvpc
networking mode.awsvpcConfiguration -> (structure)
The VPC subnets and security groups that are associated with a task.
Note
All specified subnets and security groups must be from the same VPC.subnets -> (list)
The IDs of the subnets associated with the task or service. There’s a limit of 16 subnets that can be specified per
awsvpcConfiguration
.Note
All specified subnets must be from the same VPC.(string)
securityGroups -> (list)
The IDs of the security groups associated with the task or service. If you don’t specify a security group, the default security group for the VPC is used. There’s a limit of 5 security groups that can be specified per
awsvpcConfiguration
.Note
All specified security groups must be from the same VPC.(string)
assignPublicIp -> (string)
Whether the task’s elastic network interface receives a public IP address. The default value isDISABLED
.healthCheckGracePeriodSeconds -> (integer)
The period of time, in seconds, that the Amazon ECS service scheduler ignores unhealthy Elastic Load Balancing target health checks after a task has first started.schedulingStrategy -> (string)
The scheduling strategy to use for the service. For more information, see Services .
There are two service scheduler strategies available.
REPLICA
-The replica scheduling strategy places and maintains the 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.DAEMON
-The daemon scheduling strategy deploys exactly one task on each active container instance. This task 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 stop tasks that don’t meet the placement constraints.Note
Fargate tasks don’t support theDAEMON
scheduling strategy.deploymentController -> (structure)
The deployment controller type the service is using.
type -> (string)
The deployment controller type to use.
There are three deployment controller types available:
ECSThe rolling update (
ECS
) deployment type involves replacing the current running version of the container with the latest version. The number of containers Amazon ECS adds or removes from the service during a rolling update is controlled by adjusting the minimum and maximum number of healthy tasks allowed during a service deployment, as specified in the DeploymentConfiguration .For more information about rolling deployments, see Deploy Amazon ECS services by replacing tasks in the Amazon Elastic Container Service Developer Guide .
CODE_DEPLOYThe blue/green (
CODE_DEPLOY
) deployment type uses the blue/green deployment model powered by CodeDeploy, which allows you to verify a new deployment of a service before sending production traffic to it.For more information about blue/green deployments, see Validate the state of an Amazon ECS service before deployment in the Amazon Elastic Container Service Developer Guide .
EXTERNALThe external (
EXTERNAL
) deployment type enables you to use any third-party deployment controller for full control over the deployment process for an Amazon ECS service.For more information about external deployments, see Deploy Amazon ECS services using a third-party controller in the Amazon Elastic Container Service Developer Guide .
tags -> (list)
The metadata that you apply to the service to help you categorize and organize them. Each tag consists of a key and an optional value. You define bot the key and value.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.(structure)
The metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value. You define them.
The following basic restrictions apply to tags:
- Maximum number of tags per resource - 50
- For each resource, each tag key must be unique, and each tag key can have only one value.
- Maximum key length - 128 Unicode characters in UTF-8
- Maximum value length - 256 Unicode characters in UTF-8
- If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
- Tag keys and values are case-sensitive.
- Do not use
aws:
,AWS:
, or any upper or lowercase combination of such as a prefix for either keys or values as it is reserved for Amazon Web Services use. You cannot edit or delete tag keys or values with this prefix. Tags with this prefix do not count against your tags per resource limit.key -> (string)
One part of a key-value pair that make up a tag. Akey
is a general label that acts like a category for more specific tag values.value -> (string)
The optional part of a key-value pair that make up a tag. Avalue
acts as a descriptor within a tag category (key).createdBy -> (string)
The principal that created the service.enableECSManagedTags -> (boolean)
Determines whether to use Amazon ECS managed tags for the tasks in the service. For more information, see Tagging Your Amazon ECS Resources in the Amazon Elastic Container Service Developer Guide .propagateTags -> (string)
Determines whether to propagate the tags from the task definition or the service to the task. If no value is specified, the tags aren’t propagated.enableExecuteCommand -> (boolean)
Determines whether the execute command functionality is turned on for the service. Iftrue
, the execute command functionality is turned on for all containers in tasks as part of the service.availabilityZoneRebalancing -> (string)
Indicates whether to use Availability Zone rebalancing for the service.
For more information, see Balancing an Amazon ECS service across Availability Zones in the Amazon Elastic Container Service Developer Guide .