Cluster
- class aws_cdk.aws_ecs.Cluster(scope, id, *, capacity=None, capacity_providers=None, cluster_name=None, container_insights=None, default_cloud_map_namespace=None, enable_fargate_capacity_providers=None, execute_command_configuration=None, vpc=None)
Bases:
Resource
A regional grouping of one or more container instances on which you can run tasks and services.
- 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 ) 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 ) ] )
Constructs a new instance of the Cluster class.
- Parameters:
scope (
Construct
)id (
str
)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.capacity_providers (
Optional
[Sequence
[str
]]) – (deprecated) The capacity providers to add to the cluster. Default: - None. Currently only FARGATE and FARGATE_SPOT are supported.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 cluser.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
Methods
- add_asg_capacity_provider(provider, *, can_containers_access_instance_role=None, machine_image_type=None, spot_instance_draining=None, task_drain_time=None, topic_encryption_key=None)
This method adds an Auto Scaling Group Capacity Provider to a cluster.
- Parameters:
provider (
AsgCapacityProvider
) – the capacity provider to add to this cluster.can_containers_access_instance_role (
Optional
[bool
]) – Specifies whether the containers can access the container instance role. Default: falsemachine_image_type (
Optional
[MachineImageType
]) – What type of machine image this is. Depending on the setting, different UserData will automatically be added to theAutoScalingGroup
to configure it properly for use with ECS. If you create anAutoScalingGroup
yourself and are adding it viaaddAutoScalingGroup()
, you must specify this value. If you are adding anautoScalingGroup
viaaddCapacity
, this value will be determined from themachineImage
you pass. Default: - Automatically determined frommachineImage
, if available, otherwiseMachineImageType.AMAZON_LINUX_2
.spot_instance_draining (
Optional
[bool
]) – Specify whether to enable Automated Draining for Spot Instances running Amazon ECS Services. For more information, see Using Spot Instances. Default: falsetask_drain_time (
Optional
[Duration
]) – (deprecated) The time period to wait before force terminating an instance that is draining. This creates a Lambda function that is used by a lifecycle hook for the AutoScalingGroup that will delay instance termination until all ECS tasks have drained from the instance. Set to 0 to disable task draining. Set to 0 to disable task draining. Default: Duration.minutes(5)topic_encryption_key (
Optional
[IKey
]) – If {@link AddAutoScalingGroupCapacityOptions.taskDrainTime} is non-zero, then the ECS cluster creates an SNS Topic to as part of a system to drain instances of tasks when the instance is being shut down. If this property is provided, then this key will be used to encrypt the contents of that SNS Topic. See SNS Data Encryption for more information. Default: The SNS Topic will not be encrypted.
- Return type:
None
- add_auto_scaling_group(auto_scaling_group, *, can_containers_access_instance_role=None, machine_image_type=None, spot_instance_draining=None, task_drain_time=None, topic_encryption_key=None)
(deprecated) This method adds compute capacity to a cluster using the specified AutoScalingGroup.
- Parameters:
auto_scaling_group (
AutoScalingGroup
) – the ASG to add to this cluster. [disable-awslint:ref-via-interface] is needed in order to install the ECS agent by updating the ASGs user data.can_containers_access_instance_role (
Optional
[bool
]) – Specifies whether the containers can access the container instance role. Default: falsemachine_image_type (
Optional
[MachineImageType
]) – What type of machine image this is. Depending on the setting, different UserData will automatically be added to theAutoScalingGroup
to configure it properly for use with ECS. If you create anAutoScalingGroup
yourself and are adding it viaaddAutoScalingGroup()
, you must specify this value. If you are adding anautoScalingGroup
viaaddCapacity
, this value will be determined from themachineImage
you pass. Default: - Automatically determined frommachineImage
, if available, otherwiseMachineImageType.AMAZON_LINUX_2
.spot_instance_draining (
Optional
[bool
]) –Specify whether to enable Automated Draining for Spot Instances running Amazon ECS Services. For more information, see Using Spot Instances. Default: false
task_drain_time (
Optional
[Duration
]) – (deprecated) The time period to wait before force terminating an instance that is draining. This creates a Lambda function that is used by a lifecycle hook for the AutoScalingGroup that will delay instance termination until all ECS tasks have drained from the instance. Set to 0 to disable task draining. Set to 0 to disable task draining. Default: Duration.minutes(5)topic_encryption_key (
Optional
[IKey
]) –If {@link AddAutoScalingGroupCapacityOptions.taskDrainTime} is non-zero, then the ECS cluster creates an SNS Topic to as part of a system to drain instances of tasks when the instance is being shut down. If this property is provided, then this key will be used to encrypt the contents of that SNS Topic. See SNS Data Encryption for more information. Default: The SNS Topic will not be encrypted.
- Deprecated:
Use {@link Cluster.addAsgCapacityProvider} instead.
- Stability:
deprecated
- Return type:
None
- add_capacity(id, *, instance_type, machine_image=None, can_containers_access_instance_role=None, machine_image_type=None, spot_instance_draining=None, task_drain_time=None, topic_encryption_key=None, allow_all_outbound=None, associate_public_ip_address=None, auto_scaling_group_name=None, block_devices=None, cooldown=None, desired_capacity=None, group_metrics=None, health_check=None, ignore_unmodified_size_properties=None, instance_monitoring=None, key_name=None, max_capacity=None, max_instance_lifetime=None, min_capacity=None, new_instances_protected_from_scale_in=None, notifications=None, notifications_topic=None, replacing_update_min_successful_instances_percent=None, resource_signal_count=None, resource_signal_timeout=None, rolling_update_configuration=None, signals=None, spot_price=None, termination_policies=None, update_policy=None, update_type=None, vpc_subnets=None)
It is highly recommended to use {@link Cluster.addAsgCapacityProvider} instead of this method.
This method adds compute capacity to a cluster by creating an AutoScalingGroup with the specified options.
Returns the AutoScalingGroup so you can add autoscaling settings to it.
- Parameters:
id (
str
)instance_type (
InstanceType
) – The EC2 instance type to use when launching instances into the AutoScalingGroup.machine_image (
Optional
[IMachineImage
]) – The ECS-optimized AMI variant to use. The default is to use an ECS-optimized AMI of Amazon Linux 2 which is automatically updated to the latest version on every deployment. This will replace the instances in the AutoScalingGroup. Make sure you have not disabled task draining, to avoid downtime when the AMI updates. To use an image that does not update on every deployment, pass:: const machineImage = ecs.EcsOptimizedImage.amazonLinux2(ecs.AmiHardwareType.STANDARD, { cachedInContext: true, }); For more information, see Amazon ECS-optimized AMIs. You must define eithermachineImage
ormachineImageType
, not both. Default: - Automatically updated, ECS-optimized Amazon Linux 2can_containers_access_instance_role (
Optional
[bool
]) – Specifies whether the containers can access the container instance role. Default: falsemachine_image_type (
Optional
[MachineImageType
]) – What type of machine image this is. Depending on the setting, different UserData will automatically be added to theAutoScalingGroup
to configure it properly for use with ECS. If you create anAutoScalingGroup
yourself and are adding it viaaddAutoScalingGroup()
, you must specify this value. If you are adding anautoScalingGroup
viaaddCapacity
, this value will be determined from themachineImage
you pass. Default: - Automatically determined frommachineImage
, if available, otherwiseMachineImageType.AMAZON_LINUX_2
.spot_instance_draining (
Optional
[bool
]) –Specify whether to enable Automated Draining for Spot Instances running Amazon ECS Services. For more information, see Using Spot Instances. Default: false
task_drain_time (
Optional
[Duration
]) – (deprecated) The time period to wait before force terminating an instance that is draining. This creates a Lambda function that is used by a lifecycle hook for the AutoScalingGroup that will delay instance termination until all ECS tasks have drained from the instance. Set to 0 to disable task draining. Set to 0 to disable task draining. Default: Duration.minutes(5)topic_encryption_key (
Optional
[IKey
]) –If {@link AddAutoScalingGroupCapacityOptions.taskDrainTime} is non-zero, then the ECS cluster creates an SNS Topic to as part of a system to drain instances of tasks when the instance is being shut down. If this property is provided, then this key will be used to encrypt the contents of that SNS Topic. See SNS Data Encryption for more information. Default: The SNS Topic will not be encrypted.
allow_all_outbound (
Optional
[bool
]) – Whether the instances can initiate connections to anywhere by default. Default: trueassociate_public_ip_address (
Optional
[bool
]) – Whether instances in the Auto Scaling Group should have public IP addresses associated with them. Default: - Use subnet setting.auto_scaling_group_name (
Optional
[str
]) – The name of the Auto Scaling group. This name must be unique per Region per account. Default: - Auto generated by CloudFormationblock_devices (
Optional
[Sequence
[Union
[BlockDevice
,Dict
[str
,Any
]]]]) – Specifies how block devices are exposed to the instance. You can specify virtual devices and EBS volumes. Each instance that is launched has an associated root device volume, either an Amazon EBS volume or an instance store volume. You can use block device mappings to specify additional EBS volumes or instance store volumes to attach to an instance when it is launched. Default: - Uses the block device mapping of the AMIcooldown (
Optional
[Duration
]) – Default scaling cooldown for this AutoScalingGroup. Default: Duration.minutes(5)desired_capacity (
Union
[int
,float
,None
]) – Initial amount of instances in the fleet. If this is set to a number, every deployment will reset the amount of instances to this number. It is recommended to leave this value blank. Default: minCapacity, and leave unchanged during deploymentgroup_metrics (
Optional
[Sequence
[GroupMetrics
]]) – Enable monitoring for group metrics, these metrics describe the group rather than any of its instances. To report all group metrics useGroupMetrics.all()
Group metrics are reported in a granularity of 1 minute at no additional charge. Default: - no group metrics will be reportedhealth_check (
Optional
[HealthCheck
]) – Configuration for health checks. Default: - HealthCheck.ec2 with no grace periodignore_unmodified_size_properties (
Optional
[bool
]) – If the ASG has scheduled actions, don’t reset unchanged group sizes. Only used if the ASG has scheduled actions (which may scale your ASG up or down regardless of cdk deployments). If true, the size of the group will only be reset if it has been changed in the CDK app. If false, the sizes will always be changed back to what they were in the CDK app on deployment. Default: trueinstance_monitoring (
Optional
[Monitoring
]) – Controls whether instances in this group are launched with detailed or basic monitoring. When detailed monitoring is enabled, Amazon CloudWatch generates metrics every minute and your account is charged a fee. When you disable detailed monitoring, CloudWatch generates metrics every 5 minutes. Default: - Monitoring.DETAILEDkey_name (
Optional
[str
]) – Name of SSH keypair to grant access to instances. Default: - No SSH access will be possible.max_capacity (
Union
[int
,float
,None
]) – Maximum number of instances in the fleet. Default: desiredCapacitymax_instance_lifetime (
Optional
[Duration
]) – The maximum amount of time that an instance can be in service. The maximum duration applies to all current and future instances in the group. As an instance approaches its maximum duration, it is terminated and replaced, and cannot be used again. You must specify a value of at least 604,800 seconds (7 days). To clear a previously set value, leave this property undefined. Default: nonemin_capacity (
Union
[int
,float
,None
]) – Minimum number of instances in the fleet. Default: 1new_instances_protected_from_scale_in (
Optional
[bool
]) – Whether newly-launched instances are protected from termination by Amazon EC2 Auto Scaling when scaling in. By default, Auto Scaling can terminate an instance at any time after launch when scaling in an Auto Scaling Group, subject to the group’s termination policy. However, you may wish to protect newly-launched instances from being scaled in if they are going to run critical applications that should not be prematurely terminated. This flag must be enabled if the Auto Scaling Group will be associated with an ECS Capacity Provider with managed termination protection. Default: falsenotifications (
Optional
[Sequence
[Union
[NotificationConfiguration
,Dict
[str
,Any
]]]]) – Configure autoscaling group to send notifications about fleet changes to an SNS topic(s). Default: - No fleet change notifications will be sent.notifications_topic (
Optional
[ITopic
]) – (deprecated) SNS topic to send notifications about fleet changes. Default: - No fleet change notifications will be sent.replacing_update_min_successful_instances_percent (
Union
[int
,float
,None
]) – (deprecated) Configuration for replacing updates. Only used if updateType == UpdateType.ReplacingUpdate. Specifies how many instances must signal success for the update to succeed. Default: minSuccessfulInstancesPercentresource_signal_count (
Union
[int
,float
,None
]) – (deprecated) How many ResourceSignal calls CloudFormation expects before the resource is considered created. Default: 1 if resourceSignalTimeout is set, 0 otherwiseresource_signal_timeout (
Optional
[Duration
]) – (deprecated) The length of time to wait for the resourceSignalCount. The maximum value is 43200 (12 hours). Default: Duration.minutes(5) if resourceSignalCount is set, N/A otherwiserolling_update_configuration (
Union
[RollingUpdateConfiguration
,Dict
[str
,Any
],None
]) – (deprecated) Configuration for rolling updates. Only used if updateType == UpdateType.RollingUpdate. Default: - RollingUpdateConfiguration with defaults.signals (
Optional
[Signals
]) – Configure waiting for signals during deployment. Use this to pause the CloudFormation deployment to wait for the instances in the AutoScalingGroup to report successful startup during creation and updates. The UserData script needs to invokecfn-signal
with a success or failure code after it is done setting up the instance. Without waiting for signals, the CloudFormation deployment will proceed as soon as the AutoScalingGroup has been created or updated but before the instances in the group have been started. For example, to have instances wait for an Elastic Load Balancing health check before they signal success, add a health-check verification by using the cfn-init helper script. For an example, see the verify_instance_health command in the Auto Scaling rolling updates sample template: https://github.com/awslabs/aws-cloudformation-templates/blob/master/aws/services/AutoScaling/AutoScalingRollingUpdates.yaml Default: - Do not wait for signalsspot_price (
Optional
[str
]) – The maximum hourly price (in USD) to be paid for any Spot Instance launched to fulfill the request. Spot Instances are launched when the price you specify exceeds the current Spot market price. Default: nonetermination_policies (
Optional
[Sequence
[TerminationPolicy
]]) – A policy or a list of policies that are used to select the instances to terminate. The policies are executed in the order that you list them. Default: -TerminationPolicy.DEFAULT
update_policy (
Optional
[UpdatePolicy
]) – What to do when an AutoScalingGroup’s instance configuration is changed. This is applied when any of the settings on the ASG are changed that affect how the instances should be created (VPC, instance type, startup scripts, etc.). It indicates how the existing instances should be replaced with new instances matching the new config. By default, nothing is done and only new instances are launched with the new config. Default: -UpdatePolicy.rollingUpdate()
if usinginit
,UpdatePolicy.none()
otherwiseupdate_type (
Optional
[UpdateType
]) – (deprecated) What to do when an AutoScalingGroup’s instance configuration is changed. This is applied when any of the settings on the ASG are changed that affect how the instances should be created (VPC, instance type, startup scripts, etc.). It indicates how the existing instances should be replaced with new instances matching the new config. By default, nothing is done and only new instances are launched with the new config. Default: UpdateType.Nonevpc_subnets (
Union
[SubnetSelection
,Dict
[str
,Any
],None
]) – Where to place instances within the VPC. Default: - All Private subnets.
- Return type:
- add_capacity_provider(provider)
(deprecated) This method enables the Fargate or Fargate Spot capacity providers on the cluster.
- add_default_cloud_map_namespace(*, name, type=None, vpc=None)
Add an AWS Cloud Map DNS namespace for this cluster.
NOTE: HttpNamespaces are not supported, as ECS always requires a DNSConfig when registering an instance to a Cloud Map service.
- Parameters:
name (
str
) – The name of the namespace, such as example.com.type (
Optional
[NamespaceType
]) – The type of CloudMap Namespace to create. Default: PrivateDnsvpc (
Optional
[IVpc
]) – The VPC to associate the namespace with. This property is required for private DNS namespaces. Default: VPC of the cluster for Private DNS Namespace, otherwise none
- Return type:
- apply_removal_policy(policy)
Apply the given removal policy to this resource.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
).- Parameters:
policy (
RemovalPolicy
)- Return type:
None
- enable_fargate_capacity_providers()
Enable the Fargate capacity providers for this cluster.
- Return type:
None
- metric(metric_name, *, account=None, color=None, dimensions=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)
This method returns the specifed CloudWatch metric for this cluster.
- Parameters:
metric_name (
str
)account (
Optional
[str
]) – Account which this metric comes from. Default: - Deployment account.color (
Optional
[str
]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. TheColor
class has a set of standard colors that can be used here. Default: - Automatic colordimensions (
Optional
[Mapping
[str
,Any
]]) – (deprecated) Dimensions of the metric. Default: - No dimensions.dimensions_map (
Optional
[Mapping
[str
,str
]]) – Dimensions of the metric. Default: - No dimensions.label (
Optional
[str
]) – Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No labelperiod (
Optional
[Duration
]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)region (
Optional
[str
]) – Region which this metric comes from. Default: - Deployment region.statistic (
Optional
[str
]) – What function to use for aggregating. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” Default: Averageunit (
Optional
[Unit
]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
- Return type:
- metric_cpu_reservation(*, account=None, color=None, dimensions=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)
This method returns the CloudWatch metric for this clusters CPU reservation.
- Parameters:
account (
Optional
[str
]) – Account which this metric comes from. Default: - Deployment account.color (
Optional
[str
]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. TheColor
class has a set of standard colors that can be used here. Default: - Automatic colordimensions (
Optional
[Mapping
[str
,Any
]]) – (deprecated) Dimensions of the metric. Default: - No dimensions.dimensions_map (
Optional
[Mapping
[str
,str
]]) – Dimensions of the metric. Default: - No dimensions.label (
Optional
[str
]) –Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (
Optional
[Duration
]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)region (
Optional
[str
]) – Region which this metric comes from. Default: - Deployment region.statistic (
Optional
[str
]) – What function to use for aggregating. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” Default: Averageunit (
Optional
[Unit
]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
- Default:
average over 5 minutes
- Return type:
- metric_cpu_utilization(*, account=None, color=None, dimensions=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)
This method returns the CloudWatch metric for this clusters CPU utilization.
- Parameters:
account (
Optional
[str
]) – Account which this metric comes from. Default: - Deployment account.color (
Optional
[str
]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. TheColor
class has a set of standard colors that can be used here. Default: - Automatic colordimensions (
Optional
[Mapping
[str
,Any
]]) – (deprecated) Dimensions of the metric. Default: - No dimensions.dimensions_map (
Optional
[Mapping
[str
,str
]]) – Dimensions of the metric. Default: - No dimensions.label (
Optional
[str
]) –Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (
Optional
[Duration
]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)region (
Optional
[str
]) – Region which this metric comes from. Default: - Deployment region.statistic (
Optional
[str
]) – What function to use for aggregating. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” Default: Averageunit (
Optional
[Unit
]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
- Default:
average over 5 minutes
- Return type:
- metric_memory_reservation(*, account=None, color=None, dimensions=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)
This method returns the CloudWatch metric for this clusters memory reservation.
- Parameters:
account (
Optional
[str
]) – Account which this metric comes from. Default: - Deployment account.color (
Optional
[str
]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. TheColor
class has a set of standard colors that can be used here. Default: - Automatic colordimensions (
Optional
[Mapping
[str
,Any
]]) – (deprecated) Dimensions of the metric. Default: - No dimensions.dimensions_map (
Optional
[Mapping
[str
,str
]]) – Dimensions of the metric. Default: - No dimensions.label (
Optional
[str
]) –Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (
Optional
[Duration
]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)region (
Optional
[str
]) – Region which this metric comes from. Default: - Deployment region.statistic (
Optional
[str
]) – What function to use for aggregating. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” Default: Averageunit (
Optional
[Unit
]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
- Default:
average over 5 minutes
- Return type:
- metric_memory_utilization(*, account=None, color=None, dimensions=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)
This method returns the CloudWatch metric for this clusters memory utilization.
- Parameters:
account (
Optional
[str
]) – Account which this metric comes from. Default: - Deployment account.color (
Optional
[str
]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. TheColor
class has a set of standard colors that can be used here. Default: - Automatic colordimensions (
Optional
[Mapping
[str
,Any
]]) – (deprecated) Dimensions of the metric. Default: - No dimensions.dimensions_map (
Optional
[Mapping
[str
,str
]]) – Dimensions of the metric. Default: - No dimensions.label (
Optional
[str
]) –Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (
Optional
[Duration
]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)region (
Optional
[str
]) – Region which this metric comes from. Default: - Deployment region.statistic (
Optional
[str
]) – What function to use for aggregating. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” Default: Averageunit (
Optional
[Unit
]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
- Default:
average over 5 minutes
- Return type:
- to_string()
Returns a string representation of this construct.
- Return type:
str
Attributes
- autoscaling_group
Getter for autoscaling group added to cluster.
- cluster_arn
The Amazon Resource Name (ARN) that identifies the cluster.
- cluster_name
The name of the cluster.
- connections
Manage the allowed network connections for the cluster with Security Groups.
- default_cloud_map_namespace
Getter for namespace added to cluster.
- env
The environment this resource belongs to.
For resources that are created and managed by the CDK (generally, those created by creating new class instances like Role, Bucket, etc.), this is always the same as the environment of the stack they belong to; however, for imported resources (those obtained from static methods like fromRoleArn, fromBucketName, etc.), that might be different than the stack they were imported into.
- execute_command_configuration
Getter for execute command configuration associated with the cluster.
- has_ec2_capacity
Whether the cluster has EC2 capacity associated with it.
- node
The construct tree node associated with this construct.
- stack
The stack in which this resource is defined.
- vpc
The VPC associated with the cluster.
Static Methods
- classmethod from_cluster_arn(scope, id, cluster_arn)
Import an existing cluster to the stack from the cluster ARN.
This does not provide access to the vpc, hasEc2Capacity, or connections - use the
fromClusterAttributes
method to access those properties.
- classmethod from_cluster_attributes(scope, id, *, cluster_name, security_groups, vpc, autoscaling_group=None, cluster_arn=None, default_cloud_map_namespace=None, execute_command_configuration=None, has_ec2_capacity=None)
Import an existing cluster to the stack from its attributes.
- Parameters:
scope (
Construct
)id (
str
)cluster_name (
str
) – The name of the cluster.security_groups (
Sequence
[ISecurityGroup
]) – The security groups associated with the container instances registered to the cluster.vpc (
IVpc
) – The VPC associated with the cluster.autoscaling_group (
Optional
[IAutoScalingGroup
]) – Autoscaling group added to the cluster if capacity is added. Default: - No default autoscaling groupcluster_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) that identifies the cluster. Default: Derived from clusterNamedefault_cloud_map_namespace (
Optional
[INamespace
]) – The AWS Cloud Map namespace to associate with the cluster. Default: - No default namespaceexecute_command_configuration (
Union
[ExecuteCommandConfiguration
,Dict
[str
,Any
],None
]) – The execute command configuration for the cluster. Default: - none.has_ec2_capacity (
Optional
[bool
]) – Specifies whether the cluster has EC2 instance capacity. Default: true
- Return type:
- classmethod is_construct(x)
Return whether the given object is a Construct.
- Parameters:
x (
Any
)- Return type:
bool
- classmethod is_resource(construct)
Check whether the given construct is a Resource.
- Parameters:
construct (
IConstruct
)- Return type:
bool