AWS Tools for Windows PowerShell
Command Reference

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Synopsis

Calls the Amazon EC2 Container Service CreateService API operation.

Syntax

New-ECSService
-Cluster <String>
-Alarms_AlarmName <String[]>
-AwsvpcConfiguration_AssignPublicIp <AssignPublicIp>
-CapacityProviderStrategy <CapacityProviderStrategyItem[]>
-DesiredCount <Int32>
-Alarms_Enable <Boolean>
-DeploymentCircuitBreaker_Enable <Boolean>
-ServiceConnectConfiguration_Enabled <Boolean>
-EnableECSManagedTag <Boolean>
-EnableExecuteCommand <Boolean>
-HealthCheckGracePeriodSecond <Int32>
-LaunchType <LaunchType>
-LoadBalancer <LoadBalancer[]>
-LogConfiguration_LogDriver <LogDriver>
-DeploymentConfiguration_MaximumPercent <Int32>
-DeploymentConfiguration_MinimumHealthyPercent <Int32>
-ServiceConnectConfiguration_Namespace <String>
-LogConfiguration_Option <Hashtable>
-PlacementConstraint <PlacementConstraint[]>
-PlacementStrategy <PlacementStrategy[]>
-PlatformVersion <String>
-PropagateTag <PropagateTags>
-Role <String>
-Alarms_Rollback <Boolean>
-DeploymentCircuitBreaker_Rollback <Boolean>
-SchedulingStrategy <SchedulingStrategy>
-LogConfiguration_SecretOption <Secret[]>
-AwsvpcConfiguration_SecurityGroup <String[]>
-ServiceName <String>
-ServiceRegistry <ServiceRegistry[]>
-ServiceConnectConfiguration_Service <ServiceConnectService[]>
-AwsvpcConfiguration_Subnet <String[]>
-Tag <Tag[]>
-TaskDefinition <String>
-DeploymentController_Type <DeploymentControllerType>
-ClientToken <String>
-Select <String>
-PassThru <SwitchParameter>
-Force <SwitchParameter>
-ClientConfig <AmazonECSConfig>

Description

Runs and maintains your desired number of tasks from a specified task definition. If the number of tasks running in a service drops below the desiredCount, Amazon ECS runs another copy of the task in the specified cluster. To update an existing service, see the UpdateService action. Starting April 15, 2023, Amazon Web Services will not onboard new customers to Amazon Elastic Inference (EI), and will help current customers migrate their workloads to options that offer better price and performance. After April 15, 2023, new customers will not be able to launch instances with Amazon EI accelerators in Amazon SageMaker, Amazon ECS, or Amazon EC2. However, customers who have used Amazon EI at least once during the past 30-day period are considered current customers and will be able to continue using the service. In addition to maintaining the desired count of tasks in your service, you can optionally run your service behind one or more load balancers. The load balancers distribute traffic across the tasks that are associated with the service. For more information, see Service load balancing in the Amazon Elastic Container Service Developer Guide. Tasks for services that don't use a load balancer are considered healthy if they're in the RUNNING state. Tasks for services that use a load balancer are considered healthy if they're in the RUNNING state and are reported as healthy by the load balancer. There are two service scheduler strategies available:
  • REPLICA - The replica scheduling strategy places and maintains your desired number of tasks across your cluster. By default, the service scheduler spreads tasks across Availability Zones. You can use task placement strategies and constraints to customize task placement decisions. For more information, see Service scheduler concepts in the Amazon Elastic Container Service Developer Guide.
  • DAEMON - The daemon scheduling strategy deploys exactly one task on each active container instance that meets all of the task placement constraints that you specify in your cluster. The service scheduler also evaluates the task placement constraints for running tasks. It also stops tasks that don't meet the placement constraints. When using this strategy, you don't need to specify a desired number of tasks, a task placement strategy, or use Service Auto Scaling policies. For more information, see Service scheduler concepts in the Amazon Elastic Container Service Developer Guide.
You can optionally specify a deployment configuration for your service. The deployment is initiated by changing properties. For example, the deployment might be initiated by the task definition or by your desired count of a service. This is done with an UpdateService operation. The default value for a replica service for minimumHealthyPercent is 100%. The default value for a daemon service for minimumHealthyPercent is 0%. If a service uses the ECS deployment controller, the minimum healthy percent represents a lower limit on the number of tasks in a service that must remain in the RUNNING state during a deployment. Specifically, it represents it as a percentage of your desired number of tasks (rounded up to the nearest integer). This happens when any of your container instances are in the DRAINING state if the service contains tasks using the EC2 launch type. Using this parameter, you can deploy without using additional cluster capacity. For example, if you set your service to have desired number of four tasks and a minimum healthy percent of 50%, the scheduler might stop two existing tasks to free up cluster capacity before starting two new tasks. If they're in the RUNNING state, tasks for services that don't use a load balancer are considered healthy . If they're in the RUNNING state and reported as healthy by the load balancer, tasks for services that do use a load balancer are considered healthy . The default value for minimum healthy percent is 100%. If a service uses the ECS deployment controller, the maximum percent parameter represents an upper limit on the number of tasks in a service that are allowed in the RUNNING or PENDING state during a deployment. Specifically, it represents it as a percentage of the desired number of tasks (rounded down to the nearest integer). This happens when any of your container instances are in the DRAINING state if the service contains tasks using the EC2 launch type. Using this parameter, you can define the deployment batch size. For example, if your service has a desired number of four tasks and a maximum percent value of 200%, the scheduler may start four new tasks before stopping the four older tasks (provided that the cluster resources required to do this are available). The default value for maximum percent is 200%. If a service uses either the CODE_DEPLOY or EXTERNAL deployment controller types and tasks that use the EC2 launch type, the minimum healthy percent and maximum percent values are used only to define the lower and upper limit on the number of the tasks in the service that remain in the RUNNING state. This is while the container instances are in the DRAINING state. If the tasks in the service use the Fargate launch type, the minimum healthy percent and maximum percent values aren't used. This is the case even if they're currently visible when describing your service. When creating a service that uses the EXTERNAL deployment controller, you can specify only parameters that aren't controlled at the task set level. The only required parameter is the service name. You control your services using the CreateTaskSet operation. For more information, see Amazon ECS deployment types in the Amazon Elastic Container Service Developer Guide. When the service scheduler launches new tasks, it determines task placement. For information about task placement and task placement strategies, see Amazon ECS task placement in the Amazon Elastic Container Service Developer Guide.

Parameters

-Alarms_AlarmName <String[]>
One or more CloudWatch alarm names. Use a "," to separate the alarms.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesDeploymentConfiguration_Alarms_AlarmNames
-Alarms_Enable <Boolean>
Determines whether to use the CloudWatch alarm option in the service deployment process.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesDeploymentConfiguration_Alarms_Enable
-Alarms_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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesDeploymentConfiguration_Alarms_Rollback
-AwsvpcConfiguration_AssignPublicIp <AssignPublicIp>
Whether the task's elastic network interface receives a public IP address. The default value is DISABLED.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesNetworkConfiguration_AwsvpcConfiguration_AssignPublicIp
-AwsvpcConfiguration_SecurityGroup <String[]>
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.All specified security groups must be from the same VPC.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesNetworkConfiguration_AwsvpcConfiguration_SecurityGroups
-AwsvpcConfiguration_Subnet <String[]>
The IDs of the subnets associated with the task or service. There's a limit of 16 subnets that can be specified per AwsVpcConfiguration.All specified subnets must be from the same VPC.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesNetworkConfiguration_AwsvpcConfiguration_Subnets
-CapacityProviderStrategy <CapacityProviderStrategyItem[]>
The capacity provider strategy to use for the service.If a capacityProviderStrategy is specified, the launchType parameter must be omitted. If no capacityProviderStrategy or launchType is specified, the defaultCapacityProviderStrategy for the cluster is used.A capacity provider strategy may contain a maximum of 6 capacity providers.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ClientConfig <AmazonECSConfig>
Amazon.PowerShell.Cmdlets.ECS.AmazonECSClientCmdlet.ClientConfig
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ClientToken <String>
An identifier that you provide to ensure the idempotency of the request. It must be unique and is case sensitive. Up to 32 ASCII characters are allowed.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-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.
Required?False
Position?1
Accept pipeline input?True (ByValue, ByPropertyName)
-DeploymentCircuitBreaker_Enable <Boolean>
Determines whether to use the deployment circuit breaker logic for the service.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesDeploymentConfiguration_DeploymentCircuitBreaker_Enable
-DeploymentCircuitBreaker_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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesDeploymentConfiguration_DeploymentCircuitBreaker_Rollback
-DeploymentConfiguration_MaximumPercent <Int32>
If a service is using the rolling update (ECS) deployment type, the maximumPercent parameter represents an upper limit on the number of your service's tasks that are allowed in the RUNNING or PENDING state during a deployment, as a percentage of the desiredCount (rounded down to the nearest integer). This parameter enables you to define the deployment batch size. For example, if your service is using the REPLICA service scheduler and has a desiredCount of four tasks and a maximumPercent 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 maximumPercent value for a service using the REPLICA service scheduler is 200%.If a service is using either the blue/green (CODE_DEPLOY) or EXTERNAL deployment types and tasks that use the EC2 launch type, the maximum percent value is set to the default value and is used to define the upper limit on the number of the tasks in the service that remain in the RUNNING state while the container instances are in the DRAINING state. 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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-DeploymentConfiguration_MinimumHealthyPercent <Int32>
If a service is using the rolling update (ECS) deployment type, the minimumHealthyPercent represents a lower limit on the number of your service's tasks that must remain in the RUNNING state during a deployment, as a percentage of the desiredCount (rounded up to the nearest integer). This parameter enables you to deploy without using additional cluster capacity. For example, if your service has a desiredCount of four tasks and a minimumHealthyPercent of 50%, the 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 are 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.
If a service is using either the blue/green (CODE_DEPLOY) or EXTERNAL deployment types and is running tasks that use the EC2 launch type, the minimum healthy percent value is set to the default value and is used to define the lower limit on the number of the tasks in the service that remain in the RUNNING state while the container instances are in the DRAINING state. If a service is using either the blue/green (CODE_DEPLOY) or EXTERNAL 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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-DeploymentController_Type <DeploymentControllerType>
The deployment controller type to use.There are three deployment controller types available:
ECS
The 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.
CODE_DEPLOY
The 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.
EXTERNAL
The 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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-DesiredCount <Int32>
The number of instantiations of the specified task definition to place and keep running in your service.This is required if schedulingStrategy is REPLICA or isn't specified. If schedulingStrategy is DAEMON then this isn't required.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EnableECSManagedTag <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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEnableECSManagedTags
-EnableExecuteCommand <Boolean>
Determines whether the execute command functionality is turned on for the service. If true, this enables execute command functionality on all containers in the service tasks.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-Force <SwitchParameter>
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-HealthCheckGracePeriodSecond <Int32>
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. This is only used when your service is configured to use a load balancer. If your service has a load balancer defined and you don't specify a health check grace period value, the default value of 0 is used.If you do not use an Elastic Load Balancing, we recommend that you use the startPeriod in the task definition health check parameters. For more information, see Health check.If your service's tasks take a while to start and respond to Elastic Load Balancing health checks, you can specify a health check grace period of up to 2,147,483,647 seconds (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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesHealthCheckGracePeriodSeconds
-LaunchType <LaunchType>
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.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 User Guide for Fargate.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, the capacityProviderStrategy parameter must be omitted.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-LoadBalancer <LoadBalancer[]>
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 a targetGroupPair). During a deployment, CodeDeploy determines which task set in your service has the status PRIMARY, 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 choose ip as the target type, not instance. This is because tasks that use the awsvpc network mode are associated with an elastic network interface, not an Amazon EC2 instance.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesLoadBalancers
-LogConfiguration_LogDriver <LogDriver>
The log driver to use for the container.For tasks on Fargate, the supported log drivers are awslogs, splunk, and awsfirelens.For tasks hosted on Amazon EC2 instances, the supported log drivers are awslogs, fluentd, gelf, json-file, journald, logentries,syslog, splunk, and awsfirelens.For more information about using the awslogs log driver, see Using the awslogs log driver in the Amazon Elastic Container Service Developer Guide.For more information about using the awsfirelens log driver, see Custom log routing in the Amazon Elastic Container Service Developer Guide.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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesServiceConnectConfiguration_LogConfiguration_LogDriver
-LogConfiguration_Option <Hashtable>
The configuration options to send to the log driver. 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}}'
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesServiceConnectConfiguration_LogConfiguration_Options
-LogConfiguration_SecretOption <Secret[]>
The secrets to pass to the log configuration. For more information, see Specifying sensitive data in the Amazon Elastic Container Service Developer Guide.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesServiceConnectConfiguration_LogConfiguration_SecretOptions
-PassThru <SwitchParameter>
Changes the cmdlet behavior to return the value passed to the Cluster parameter. The -PassThru parameter is deprecated, use -Select '^Cluster' instead. This parameter will be removed in a future version.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-PlacementConstraint <PlacementConstraint[]>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesPlacementConstraints
-PlacementStrategy <PlacementStrategy[]>
The placement strategy objects to use for tasks in your service. You can specify a maximum of 5 strategy rules for each service.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-PlatformVersion <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, the LATEST platform version is used. For more information, see Fargate platform versions in the Amazon Elastic Container Service Developer Guide.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-PropagateTag <PropagateTags>
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.The default is NONE.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesPropagateTags
-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 the role parameter, you must also specify a load balancer object with the loadBalancers parameter.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 the awsvpc 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 name bar 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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-SchedulingStrategy <SchedulingStrategy>
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 the CODE_DEPLOY or EXTERNAL 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.Tasks using the Fargate launch type or the CODE_DEPLOY or EXTERNAL deployment controller types don't support the DAEMON scheduling strategy.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-Select <String>
Use the -Select parameter to control the cmdlet output. The default value is 'Service'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.ECS.Model.CreateServiceResponse). Specifying the name of a property of type Amazon.ECS.Model.CreateServiceResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ServiceConnectConfiguration_Enabled <Boolean>
Specifies whether to use Service Connect with this service.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ServiceConnectConfiguration_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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ServiceConnectConfiguration_Service <ServiceConnectService[]>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesServiceConnectConfiguration_Services
-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, but you can have similarly named services in multiple clusters within a Region or across multiple Regions.
Required?True
Position?Named
Accept pipeline input?True (ByPropertyName)
-ServiceRegistry <ServiceRegistry[]>
The details of the service discovery registry to associate with this service. For more information, see Service discovery.Each service may be associated with one service registry. Multiple service registries for each service isn't supported.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesServiceRegistries
-Tag <Tag[]>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesTags
-TaskDefinition <String>
The family and revision (family:revision) or full ARN of the task definition to run in your service. If a revision isn't specified, the latest ACTIVE revision is used.A task definition must be specified if the service uses either the ECS or CODE_DEPLOY deployment controllers.For more information about deployment types, see Amazon ECS deployment types.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)

Common Credential and Region Parameters

-AccessKey <String>
The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesAK
-Credential <AWSCredentials>
An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials.
Required?False
Position?Named
Accept pipeline input?True (ByValue, ByPropertyName)
-EndpointUrl <String>
The endpoint to make the call against.Note: This parameter is primarily for internal AWS use and is not required/should not be specified for normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-NetworkCredential <PSCredential>
Used with SAML-based authentication when ProfileName references a SAML role profile. Contains the network credentials to be supplied during authentication with the configured identity provider's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication.
Required?False
Position?Named
Accept pipeline input?True (ByValue, ByPropertyName)
-ProfileLocation <String>
Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs)If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user's home directory)\.aws\credentials.If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given.As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesAWSProfilesLocation, ProfilesLocation
-ProfileName <String>
The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with the AWS CLI and other AWS SDKs.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesStoredCredentials, AWSProfileName
-Region <Object>
The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that the AWS resources referenced in a call are usually region-specific.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesRegionToCall
-SecretKey <String>
The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesSK, SecretAccessKey
-SessionToken <String>
The session token if the access and secret keys are temporary session-based credentials.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesST

Outputs

Amazon.ECS.Model.Service or Amazon.ECS.Model.CreateServiceResponse
This cmdlet returns an Amazon.ECS.Model.Service object. The service call response (type Amazon.ECS.Model.CreateServiceResponse) can also be referenced from properties attached to the cmdlet entry in the $AWSHistory stack.

Examples

Example 1

New-ECSService -ServiceName ecs-simple-service -TaskDefinition ecs-demo -DesiredCount 10
This example command creates a service in your default cluster called `ecs-simple-service`. The service uses the `ecs-demo` task definition and it maintains 10 instantiations of that task.

Example 2

$lb = @{
    LoadBalancerName = "EC2Contai-EcsElast-S06278JGSJCM"
    ContainerName = "simple-demo"
    ContainerPort = 80
}        
New-ECSService -ServiceName ecs-simple-service -TaskDefinition ecs-demo -DesiredCount 10 -LoadBalancer $lb
        
This example command creates a service behind a load balancer in your default cluster called `ecs-simple-service`. The service uses the `ecs-demo` task definition and it maintains 10 instantiations of that task.
User Guide
Service API Reference
AWS Tools for PowerShell User Guide

Supported Version

AWS Tools for PowerShell: 2.x.y.z