<p>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 <code>desiredCount</code>, Amazon ECS runs another copy of the task in the specified cluster. To update an existing service, see the <a>UpdateService</a> action.</p> <note> <p>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. </p> </note> <p>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 <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-load-balancing.html">Service load balancing</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> <p>Tasks for services that don't use a load balancer are considered healthy if they're in the <code>RUNNING</code> state. Tasks for services that use a load balancer are considered healthy if they're in the <code>RUNNING</code> state and are reported as healthy by the load balancer.</p> <p>There are two service scheduler strategies available:</p> <ul> <li> <p> <code>REPLICA</code> - 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 <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs_services.html">Service scheduler concepts</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> </li> <li> <p> <code>DAEMON</code> - 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 <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs_services.html">Service scheduler concepts</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> </li> </ul> <p>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 <a>UpdateService</a> operation. The default value for a replica service for <code>minimumHealthyPercent</code> is 100%. The default value for a daemon service for <code>minimumHealthyPercent</code> is 0%.</p> <p>If a service uses the <code>ECS</code> deployment controller, the minimum healthy percent represents a lower limit on the number of tasks in a service that must remain in the <code>RUNNING</code> 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 <code>DRAINING</code> 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 <code>RUNNING</code> state, tasks for services that don't use a load balancer are considered healthy . If they're in the <code>RUNNING</code> state and reported as healthy by the load balancer, tasks for services that <i>do</i> use a load balancer are considered healthy . The default value for minimum healthy percent is 100%.</p> <p>If a service uses the <code>ECS</code> deployment controller, the <b>maximum percent</b> parameter represents an upper limit on the number of tasks in a service that are allowed in the <code>RUNNING</code> or <code>PENDING</code> 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 <code>DRAINING</code> 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%.</p> <p>If a service uses either the <code>CODE_DEPLOY</code> or <code>EXTERNAL</code> deployment controller types and tasks that use the EC2 launch type, the <b>minimum healthy percent</b> and <b>maximum percent</b> values are used only to define the lower and upper limit on the number of the tasks in the service that remain in the <code>RUNNING</code> state. This is while the container instances are in the <code>DRAINING</code> 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.</p> <p>When creating a service that uses the <code>EXTERNAL</code> 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 <a>CreateTaskSet</a> operation. For more information, see <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/deployment-types.html">Amazon ECS deployment types</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> <p>When the service scheduler launches new tasks, it determines task placement. For information about task placement and task placement strategies, see <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-placement.html">Amazon ECS task placement</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p>

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<p>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 <code>desiredCount</code>, Amazon ECS runs another copy of the task in the specified cluster. To update an existing service, see the <a>UpdateService</a> action.</p> <note> <p>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. </p> </note> <p>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 <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-load-balancing.html">Service load balancing</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> <p>Tasks for services that don't use a load balancer are considered healthy if they're in the <code>RUNNING</code> state. Tasks for services that use a load balancer are considered healthy if they're in the <code>RUNNING</code> state and are reported as healthy by the load balancer.</p> <p>There are two service scheduler strategies available:</p> <ul> <li> <p> <code>REPLICA</code> - 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 <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs_services.html">Service scheduler concepts</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> </li> <li> <p> <code>DAEMON</code> - 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 <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs_services.html">Service scheduler concepts</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> </li> </ul> <p>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 <a>UpdateService</a> operation. The default value for a replica service for <code>minimumHealthyPercent</code> is 100%. The default value for a daemon service for <code>minimumHealthyPercent</code> is 0%.</p> <p>If a service uses the <code>ECS</code> deployment controller, the minimum healthy percent represents a lower limit on the number of tasks in a service that must remain in the <code>RUNNING</code> 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 <code>DRAINING</code> 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 <code>RUNNING</code> state, tasks for services that don't use a load balancer are considered healthy . If they're in the <code>RUNNING</code> state and reported as healthy by the load balancer, tasks for services that <i>do</i> use a load balancer are considered healthy . The default value for minimum healthy percent is 100%.</p> <p>If a service uses the <code>ECS</code> deployment controller, the <b>maximum percent</b> parameter represents an upper limit on the number of tasks in a service that are allowed in the <code>RUNNING</code> or <code>PENDING</code> 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 <code>DRAINING</code> 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%.</p> <p>If a service uses either the <code>CODE_DEPLOY</code> or <code>EXTERNAL</code> deployment controller types and tasks that use the EC2 launch type, the <b>minimum healthy percent</b> and <b>maximum percent</b> values are used only to define the lower and upper limit on the number of the tasks in the service that remain in the <code>RUNNING</code> state. This is while the container instances are in the <code>DRAINING</code> 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.</p> <p>When creating a service that uses the <code>EXTERNAL</code> 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 <a>CreateTaskSet</a> operation. For more information, see <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/deployment-types.html">Amazon ECS deployment types</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p> <p>When the service scheduler launches new tasks, it determines task placement. For information about task placement and task placement strategies, see <a href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-placement.html">Amazon ECS task placement</a> in the <i>Amazon Elastic Container Service Developer Guide</i>.</p>

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