ClusterProps
- class aws_cdk.aws_ecs.ClusterProps(*, capacity=None, cluster_name=None, container_insights=None, default_cloud_map_namespace=None, enable_fargate_capacity_providers=None, execute_command_configuration=None, vpc=None)
Bases:
object
The properties used to define an ECS cluster.
- Parameters:
capacity (
Union
[AddCapacityOptions
,Dict
[str
,Any
],None
]) – The ec2 capacity to add to the cluster. Default: - no EC2 capacity will be added, you can useaddCapacity
to add capacity later.cluster_name (
Optional
[str
]) – The name for the cluster. Default: CloudFormation-generated namecontainer_insights (
Optional
[bool
]) – If true CloudWatch Container Insights will be enabled for the cluster. Default: - Container Insights will be disabled for this cluster.default_cloud_map_namespace (
Union
[CloudMapNamespaceOptions
,Dict
[str
,Any
],None
]) – The service discovery namespace created in this cluster. Default: - no service discovery namespace created, you can useaddDefaultCloudMapNamespace
to add a default service discovery namespace later.enable_fargate_capacity_providers (
Optional
[bool
]) – Whether to enable Fargate Capacity Providers. Default: falseexecute_command_configuration (
Union
[ExecuteCommandConfiguration
,Dict
[str
,Any
],None
]) – The execute command configuration for the cluster. Default: - no configuration will be provided.vpc (
Optional
[IVpc
]) – The VPC where your ECS instances will be running or your ENIs will be deployed. Default: - creates a new VPC with two AZs
- ExampleMetadata:
infused
Example:
# vpc: ec2.Vpc cluster = ecs.Cluster(self, "Cluster", vpc=vpc ) auto_scaling_group = autoscaling.AutoScalingGroup(self, "ASG", vpc=vpc, instance_type=ec2.InstanceType("t2.micro"), machine_image=ecs.EcsOptimizedImage.amazon_linux2(), min_capacity=0, max_capacity=100 ) capacity_provider = ecs.AsgCapacityProvider(self, "AsgCapacityProvider", auto_scaling_group=auto_scaling_group, instance_warmup_period=300 ) cluster.add_asg_capacity_provider(capacity_provider) task_definition = ecs.Ec2TaskDefinition(self, "TaskDef") task_definition.add_container("web", image=ecs.ContainerImage.from_registry("amazon/amazon-ecs-sample"), memory_reservation_mi_b=256 ) ecs.Ec2Service(self, "EC2Service", cluster=cluster, task_definition=task_definition, capacity_provider_strategies=[ecs.CapacityProviderStrategy( capacity_provider=capacity_provider.capacity_provider_name, weight=1 ) ] )
Attributes
- capacity
The ec2 capacity to add to the cluster.
- Default:
no EC2 capacity will be added, you can use
addCapacity
to add capacity later.
- cluster_name
The name for the cluster.
- Default:
CloudFormation-generated name
- container_insights
If true CloudWatch Container Insights will be enabled for the cluster.
- Default:
Container Insights will be disabled for this cluster.
- default_cloud_map_namespace
The service discovery namespace created in this cluster.
- Default:
no service discovery namespace created, you can use
addDefaultCloudMapNamespace
to add a
default service discovery namespace later.
- enable_fargate_capacity_providers
Whether to enable Fargate Capacity Providers.
- Default:
false
- execute_command_configuration
The execute command configuration for the cluster.
- Default:
no configuration will be provided.
- vpc
The VPC where your ECS instances will be running or your ENIs will be deployed.
- Default:
creates a new VPC with two AZs