2026/11/06 - Auto Scaling - 7 updated api methods
Changes Amazon EC2 Auto Scaling now lets you exclude managed resources from describe API responses using the new optional IncludeManagedResources parameter. Set this parameter to false to exclude managed resources from the response. By default, managed resources are included.
{'IncludeManagedResources': 'boolean'}
Gets information about the Auto Scaling groups in the account and Region.
If you specify Auto Scaling group names, the output includes information for only the specified Auto Scaling groups. If you specify filters, the output includes information for only those Auto Scaling groups that meet the filter criteria. If you do not specify group names or filters, the output includes information for all Auto Scaling groups.
This operation also returns information about instances in Auto Scaling groups. To retrieve information about the instances in a warm pool, you must call the DescribeWarmPool API.
See also: AWS API Documentation
Request Syntax
client.describe_auto_scaling_groups(
AutoScalingGroupNames=[
'string',
],
IncludeInstances=True|False,
IncludeManagedResources=True|False,
NextToken='string',
MaxRecords=123,
Filters=[
{
'Name': 'string',
'Values': [
'string',
]
},
]
)
list
The names of the Auto Scaling groups. By default, you can only specify up to 50 names. You can optionally increase this limit using the MaxRecords property.
If you omit this property, all Auto Scaling groups are described.
(string) --
boolean
Specifies whether to include information about Amazon EC2 instances in the response. When set to true (default), the response includes instance details.
boolean
Specifies whether to include managed Auto Scaling groups in the response. When set to true (default), the response includes managed Auto Scaling groups.
string
The token for the next set of items to return. (You received this token from a previous call.)
integer
The maximum number of items to return with this call. The default value is 50 and the maximum value is 100.
A response can contain fewer items than the value specified by MaxRecords, even when more items are available. To retrieve the additional items, use the NextToken value in a subsequent call rather than relying on the number of items in the response.
list
One or more filters to limit the results based on specific tags.
(dict) --
Describes a filter that is used to return a more specific list of results from a describe operation.
If you specify multiple filters, the filters are automatically logically joined with an AND, and the request returns only the results that match all of the specified filters.
For more information, see Tag Auto Scaling groups and instances in the Amazon EC2 Auto Scaling User Guide.
Name (string) --
The name of the filter.
The valid values for Name depend on which API operation you're using with the filter.
Valid values for Name include the following:
tag-key - Accepts tag keys. The results only include information about the Auto Scaling groups associated with these tag keys.
tag-value - Accepts tag values. The results only include information about the Auto Scaling groups associated with these tag values.
tag:<key> - Accepts the key/value combination of the tag. Use the tag key in the filter name and the tag value as the filter value. The results only include information about the Auto Scaling groups associated with the specified key/value combination.
Valid values for Name include the following:
auto-scaling-group - Accepts the names of Auto Scaling groups. The results only include information about the tags associated with these Auto Scaling groups.
key - Accepts tag keys. The results only include information about the tags associated with these tag keys.
value - Accepts tag values. The results only include information about the tags associated with these tag values.
propagate-at-launch - Accepts a Boolean value, which specifies whether tags propagate to instances at launch. The results only include information about the tags associated with the specified Boolean value.
Valid values for Name include the following:
StartTimeLowerBound - The earliest scaling activities to return based on the activity start time. Scaling activities with a start time earlier than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
StartTimeUpperBound - The latest scaling activities to return based on the activity start time. Scaling activities with a start time later than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
Status - The StatusCode value of the scaling activity. This filter can only be used in combination with the AutoScalingGroupName parameter. For valid StatusCode values, see Activity in the Amazon EC2 Auto Scaling API Reference.
StartTimeLowerBound and StartTimeUpperBound accept ISO 8601 formatted timestamps. Timestamps without a timezone offset are assumed to be UTC.
2000-01-18T08:15:00Z
2000-01-18T16:15:00+08:00
Values (list) --
One or more filter values. Filter values are case-sensitive.
If you specify multiple values for a filter, the values are automatically logically joined with an OR, and the request returns all results that match any of the specified values.
DescribeAutoScalingGroups example: Specify "tag:environment" for the filter name and "production,development" for the filter values to find Auto Scaling groups with the tag "environment=production" or "environment=development".
DescribeScalingActivities example: Specify "Status" for the filter name and "Successful,Failed" for the filter values to find scaling activities with a status of either "Successful" or "Failed".
(string) --
dict
Response Syntax
{
'AutoScalingGroups': [
{
'AutoScalingGroupName': 'string',
'AutoScalingGroupARN': 'string',
'LaunchConfigurationName': 'string',
'LaunchTemplate': {
'LaunchTemplateId': 'string',
'LaunchTemplateName': 'string',
'Version': 'string'
},
'MixedInstancesPolicy': {
'LaunchTemplate': {
'LaunchTemplateSpecification': {
'LaunchTemplateId': 'string',
'LaunchTemplateName': 'string',
'Version': 'string'
},
'Overrides': [
{
'InstanceType': 'string',
'WeightedCapacity': 'string',
'LaunchTemplateSpecification': {
'LaunchTemplateId': 'string',
'LaunchTemplateName': 'string',
'Version': 'string'
},
'InstanceRequirements': {
'VCpuCount': {
'Min': 123,
'Max': 123
},
'MemoryMiB': {
'Min': 123,
'Max': 123
},
'CpuManufacturers': [
'intel'|'amd'|'amazon-web-services'|'apple',
],
'MemoryGiBPerVCpu': {
'Min': 123.0,
'Max': 123.0
},
'ExcludedInstanceTypes': [
'string',
],
'InstanceGenerations': [
'current'|'previous',
],
'SpotMaxPricePercentageOverLowestPrice': 123,
'MaxSpotPriceAsPercentageOfOptimalOnDemandPrice': 123,
'OnDemandMaxPricePercentageOverLowestPrice': 123,
'BareMetal': 'included'|'excluded'|'required',
'BurstablePerformance': 'included'|'excluded'|'required',
'RequireHibernateSupport': True|False,
'NetworkInterfaceCount': {
'Min': 123,
'Max': 123
},
'LocalStorage': 'included'|'excluded'|'required',
'LocalStorageTypes': [
'hdd'|'ssd',
],
'TotalLocalStorageGB': {
'Min': 123.0,
'Max': 123.0
},
'BaselineEbsBandwidthMbps': {
'Min': 123,
'Max': 123
},
'AcceleratorTypes': [
'gpu'|'fpga'|'inference',
],
'AcceleratorCount': {
'Min': 123,
'Max': 123
},
'AcceleratorManufacturers': [
'nvidia'|'amd'|'amazon-web-services'|'xilinx',
],
'AcceleratorNames': [
'a100'|'v100'|'k80'|'t4'|'m60'|'radeon-pro-v520'|'vu9p',
],
'AcceleratorTotalMemoryMiB': {
'Min': 123,
'Max': 123
},
'NetworkBandwidthGbps': {
'Min': 123.0,
'Max': 123.0
},
'AllowedInstanceTypes': [
'string',
],
'BaselinePerformanceFactors': {
'Cpu': {
'References': [
{
'InstanceFamily': 'string'
},
]
}
}
},
'ImageId': 'string'
},
]
},
'InstancesDistribution': {
'OnDemandAllocationStrategy': 'string',
'OnDemandBaseCapacity': 123,
'OnDemandPercentageAboveBaseCapacity': 123,
'SpotAllocationStrategy': 'string',
'SpotInstancePools': 123,
'SpotMaxPrice': 'string',
'DistributionSegments': [
{
'TargetCapacityTypes': [
'on-demand-capacity-reservation'|'capacity-block'|'interruptible-capacity-reservation'|'on-demand',
]
},
]
}
},
'MinSize': 123,
'MaxSize': 123,
'DesiredCapacity': 123,
'PredictedCapacity': 123,
'DefaultCooldown': 123,
'AvailabilityZones': [
'string',
],
'AvailabilityZoneIds': [
'string',
],
'LoadBalancerNames': [
'string',
],
'TargetGroupARNs': [
'string',
],
'HealthCheckType': 'string',
'HealthCheckGracePeriod': 123,
'Instances': [
{
'InstanceId': 'string',
'InstanceType': 'string',
'AvailabilityZone': 'string',
'AvailabilityZoneId': 'string',
'LifecycleState': 'Pending'|'Pending:Wait'|'Pending:Proceed'|'Quarantined'|'InService'|'Terminating'|'Terminating:Wait'|'Terminating:Proceed'|'Terminating:Retained'|'Terminated'|'Detaching'|'Detached'|'EnteringStandby'|'Standby'|'ReplacingRootVolume'|'ReplacingRootVolume:Wait'|'ReplacingRootVolume:Proceed'|'RootVolumeReplaced'|'Warmed:Pending'|'Warmed:Pending:Wait'|'Warmed:Pending:Proceed'|'Warmed:Pending:Retained'|'Warmed:Terminating'|'Warmed:Terminating:Wait'|'Warmed:Terminating:Proceed'|'Warmed:Terminating:Retained'|'Warmed:Terminated'|'Warmed:Stopped'|'Warmed:Running'|'Warmed:Hibernated',
'HealthStatus': 'string',
'LaunchConfigurationName': 'string',
'LaunchTemplate': {
'LaunchTemplateId': 'string',
'LaunchTemplateName': 'string',
'Version': 'string'
},
'ImageId': 'string',
'ProtectedFromScaleIn': True|False,
'WeightedCapacity': 'string'
},
],
'CreatedTime': datetime(2015, 1, 1),
'SuspendedProcesses': [
{
'ProcessName': 'string',
'SuspensionReason': 'string'
},
],
'PlacementGroup': 'string',
'VPCZoneIdentifier': 'string',
'EnabledMetrics': [
{
'Metric': 'string',
'Granularity': 'string'
},
],
'Status': 'string',
'Tags': [
{
'ResourceId': 'string',
'ResourceType': 'string',
'Key': 'string',
'Value': 'string',
'PropagateAtLaunch': True|False
},
],
'TerminationPolicies': [
'string',
],
'NewInstancesProtectedFromScaleIn': True|False,
'ServiceLinkedRoleARN': 'string',
'MaxInstanceLifetime': 123,
'CapacityRebalance': True|False,
'WarmPoolConfiguration': {
'MaxGroupPreparedCapacity': 123,
'MinSize': 123,
'PoolState': 'Stopped'|'Running'|'Hibernated',
'Status': 'PendingDelete',
'InstanceReusePolicy': {
'ReuseOnScaleIn': True|False
}
},
'WarmPoolSize': 123,
'Context': 'string',
'DesiredCapacityType': 'string',
'DefaultInstanceWarmup': 123,
'TrafficSources': [
{
'Identifier': 'string',
'Type': 'string'
},
],
'InstanceMaintenancePolicy': {
'MinHealthyPercentage': 123,
'MaxHealthyPercentage': 123
},
'DeletionProtection': 'none'|'prevent-force-deletion'|'prevent-all-deletion',
'AvailabilityZoneDistribution': {
'CapacityDistributionStrategy': 'balanced-only'|'balanced-best-effort'|'reservations-then-balanced'
},
'AvailabilityZoneImpairmentPolicy': {
'ZonalShiftEnabled': True|False,
'ImpairedZoneHealthCheckBehavior': 'ReplaceUnhealthy'|'IgnoreUnhealthy'
},
'CapacityReservationSpecification': {
'CapacityReservationPreference': 'capacity-reservations-only'|'capacity-reservations-first'|'none'|'default',
'CapacityReservationTarget': {
'CapacityReservationIds': [
'string',
],
'CapacityReservationResourceGroupArns': [
'string',
]
}
},
'InstanceLifecyclePolicy': {
'RetentionTriggers': {
'TerminateHookAbandon': 'retain'|'terminate'
}
},
'Operator': {
'Principal': 'string'
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
AutoScalingGroups (list) --
The groups.
(dict) --
Describes an Auto Scaling group.
AutoScalingGroupName (string) --
The name of the Auto Scaling group.
AutoScalingGroupARN (string) --
The Amazon Resource Name (ARN) of the Auto Scaling group.
LaunchConfigurationName (string) --
The name of the associated launch configuration for the Auto Scaling group.
LaunchTemplate (dict) --
The launch template for the Auto Scaling group.
LaunchTemplateId (string) --
The ID of the launch template. To get the template ID, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
LaunchTemplateName (string) --
The name of the launch template. To get the template name, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
Version (string) --
The version number, $Latest, or $Default. To get the version number, use the Amazon EC2 DescribeLaunchTemplateVersions API operation. New launch template versions can be created using the Amazon EC2 CreateLaunchTemplateVersion API. If the value is $Latest, Amazon EC2 Auto Scaling selects the latest version of the launch template when launching instances. If the value is $Default, Amazon EC2 Auto Scaling selects the default version of the launch template when launching instances. The default value is $Default.
MixedInstancesPolicy (dict) --
The mixed instances policy for the group.
LaunchTemplate (dict) --
One or more launch templates and the instance types (overrides) that are used to launch EC2 instances to fulfill the configured capacities.
LaunchTemplateSpecification (dict) --
The launch template.
LaunchTemplateId (string) --
The ID of the launch template. To get the template ID, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
LaunchTemplateName (string) --
The name of the launch template. To get the template name, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
Version (string) --
The version number, $Latest, or $Default. To get the version number, use the Amazon EC2 DescribeLaunchTemplateVersions API operation. New launch template versions can be created using the Amazon EC2 CreateLaunchTemplateVersion API. If the value is $Latest, Amazon EC2 Auto Scaling selects the latest version of the launch template when launching instances. If the value is $Default, Amazon EC2 Auto Scaling selects the default version of the launch template when launching instances. The default value is $Default.
Overrides (list) --
Any properties that you specify override the same properties in the launch template.
(dict) --
Use this structure to let Amazon EC2 Auto Scaling do the following when the Auto Scaling group has a mixed instances policy:
Override the instance type that is specified in the launch template.
Use multiple instance types.
Specify the instance types that you want, or define your instance requirements instead and let Amazon EC2 Auto Scaling provision the available instance types that meet your requirements. This can provide Amazon EC2 Auto Scaling with a larger selection of instance types to choose from when fulfilling Spot and On-Demand capacities. You can view which instance types are matched before you apply the instance requirements to your Auto Scaling group.
After you define your instance requirements, you don't have to keep updating these settings to get new EC2 instance types automatically. Amazon EC2 Auto Scaling uses the instance requirements of the Auto Scaling group to determine whether a new EC2 instance type can be used.
InstanceType (string) --
The instance type, such as m3.xlarge. You must specify an instance type that is supported in your requested Region and Availability Zones. For more information, see Instance types in the Amazon EC2 User Guide.
You can specify up to 40 instance types per Auto Scaling group.
WeightedCapacity (string) --
If you provide a list of instance types to use, you can specify the number of capacity units provided by each instance type in terms of virtual CPUs, memory, storage, throughput, or other relative performance characteristic. When a Spot or On-Demand Instance is launched, the capacity units count toward the desired capacity. Amazon EC2 Auto Scaling launches instances until the desired capacity is totally fulfilled, even if this results in an overage. For example, if there are two units remaining to fulfill capacity, and Amazon EC2 Auto Scaling can only launch an instance with a WeightedCapacity of five units, the instance is launched, and the desired capacity is exceeded by three units. For more information, see Configure an Auto Scaling group to use instance weights in the Amazon EC2 Auto Scaling User Guide. Value must be in the range of 1–999.
If you specify a value for WeightedCapacity for one instance type, you must specify a value for WeightedCapacity for all of them.
LaunchTemplateSpecification (dict) --
Provides a launch template for the specified instance type or set of instance requirements. For example, some instance types might require a launch template with a different AMI. If not provided, Amazon EC2 Auto Scaling uses the launch template that's specified in the LaunchTemplate definition. For more information, see Specifying a different launch template for an instance type in the Amazon EC2 Auto Scaling User Guide.
You can specify up to 20 launch templates per Auto Scaling group. The launch templates specified in the overrides and in the LaunchTemplate definition count towards this limit.
LaunchTemplateId (string) --
The ID of the launch template. To get the template ID, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
LaunchTemplateName (string) --
The name of the launch template. To get the template name, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
Version (string) --
The version number, $Latest, or $Default. To get the version number, use the Amazon EC2 DescribeLaunchTemplateVersions API operation. New launch template versions can be created using the Amazon EC2 CreateLaunchTemplateVersion API. If the value is $Latest, Amazon EC2 Auto Scaling selects the latest version of the launch template when launching instances. If the value is $Default, Amazon EC2 Auto Scaling selects the default version of the launch template when launching instances. The default value is $Default.
InstanceRequirements (dict) --
The instance requirements. Amazon EC2 Auto Scaling uses your specified requirements to identify instance types. Then, it uses your On-Demand and Spot allocation strategies to launch instances from these instance types.
You can specify up to four separate sets of instance requirements per Auto Scaling group. This is useful for provisioning instances from different Amazon Machine Images (AMIs) in the same Auto Scaling group. To do this, create the AMIs and create a new launch template for each AMI. Then, create a compatible set of instance requirements for each launch template.
VCpuCount (dict) --
The minimum and maximum number of vCPUs for an instance type.
Min (integer) --
The minimum number of vCPUs.
Max (integer) --
The maximum number of vCPUs.
MemoryMiB (dict) --
The minimum and maximum instance memory size for an instance type, in MiB.
Min (integer) --
The memory minimum in MiB.
Max (integer) --
The memory maximum in MiB.
CpuManufacturers (list) --
Lists which specific CPU manufacturers to include.
For instance types with Intel CPUs, specify intel.
For instance types with AMD CPUs, specify amd.
For instance types with Amazon Web Services CPUs, specify amazon-web-services.
For instance types with Apple CPUs, specify apple.
Default: Any manufacturer
(string) --
MemoryGiBPerVCpu (dict) --
The minimum and maximum amount of memory per vCPU for an instance type, in GiB.
Default: No minimum or maximum limits
Min (float) --
The memory minimum in GiB.
Max (float) --
The memory maximum in GiB.
ExcludedInstanceTypes (list) --
The instance types to exclude. You can use strings with one or more wild cards, represented by an asterisk ( *), to exclude an instance family, type, size, or generation. The following are examples: m5.8xlarge, c5*.*, m5a.*, r*, *3*.
For example, if you specify c5*, you are excluding the entire C5 instance family, which includes all C5a and C5n instance types. If you specify m5a.*, Amazon EC2 Auto Scaling will exclude all the M5a instance types, but not the M5n instance types.
Default: No excluded instance types
(string) --
InstanceGenerations (list) --
Indicates whether current or previous generation instance types are included.
For current generation instance types, specify current. The current generation includes EC2 instance types currently recommended for use. This typically includes the latest two to three generations in each instance family. For more information, see Instance types in the Amazon EC2 User Guide.
For previous generation instance types, specify previous.
Default: Any current or previous generation
(string) --
SpotMaxPricePercentageOverLowestPrice (integer) --
[Price protection] The price protection threshold for Spot Instances, as a percentage higher than an identified Spot price. The identified Spot price is the price of the lowest priced current generation C, M, or R instance type with your specified attributes. If no current generation C, M, or R instance type matches your attributes, then the identified price is from either the lowest priced current generation instance types or, failing that, the lowest priced previous generation instance types that match your attributes. When Amazon EC2 Auto Scaling selects instance types with your attributes, we will exclude instance types whose price exceeds your specified threshold.
The parameter accepts an integer, which Amazon EC2 Auto Scaling interprets as a percentage.
If you set DesiredCapacityType to vcpu or memory-mib, the price protection threshold is based on the per-vCPU or per-memory price instead of the per instance price.
MaxSpotPriceAsPercentageOfOptimalOnDemandPrice (integer) --
[Price protection] The price protection threshold for Spot Instances, as a percentage of an identified On-Demand price. The identified On-Demand price is the price of the lowest priced current generation C, M, or R instance type with your specified attributes. If no current generation C, M, or R instance type matches your attributes, then the identified price is from either the lowest priced current generation instance types or, failing that, the lowest priced previous generation instance types that match your attributes. When Amazon EC2 Auto Scaling selects instance types with your attributes, we will exclude instance types whose price exceeds your specified threshold.
The parameter accepts an integer, which Amazon EC2 Auto Scaling interprets as a percentage.
If you set DesiredCapacityType to vcpu or memory-mib, the price protection threshold is based on the per-vCPU or per-memory price instead of the per instance price.
OnDemandMaxPricePercentageOverLowestPrice (integer) --
[Price protection] The price protection threshold for On-Demand Instances, as a percentage higher than an identified On-Demand price. The identified On-Demand price is the price of the lowest priced current generation C, M, or R instance type with your specified attributes. If no current generation C, M, or R instance type matches your attributes, then the identified price is from either the lowest priced current generation instance types or, failing that, the lowest priced previous generation instance types that match your attributes. When Amazon EC2 Auto Scaling selects instance types with your attributes, we will exclude instance types whose price exceeds your specified threshold.
The parameter accepts an integer, which Amazon EC2 Auto Scaling interprets as a percentage.
To turn off price protection, specify a high value, such as 999999.
If you set DesiredCapacityType to vcpu or memory-mib, the price protection threshold is applied based on the per-vCPU or per-memory price instead of the per instance price.
Default: 20
BareMetal (string) --
Indicates whether bare metal instance types are included, excluded, or required.
Default: excluded
BurstablePerformance (string) --
Indicates whether burstable performance instance types are included, excluded, or required. For more information, see Burstable performance instances in the Amazon EC2 User Guide.
Default: excluded
RequireHibernateSupport (boolean) --
Indicates whether instance types must provide On-Demand Instance hibernation support.
Default: false
NetworkInterfaceCount (dict) --
The minimum and maximum number of network interfaces for an instance type.
Default: No minimum or maximum limits
Min (integer) --
The minimum number of network interfaces.
Max (integer) --
The maximum number of network interfaces.
LocalStorage (string) --
Indicates whether instance types with instance store volumes are included, excluded, or required. For more information, see Amazon EC2 instance store in the Amazon EC2 User Guide.
Default: included
LocalStorageTypes (list) --
Indicates the type of local storage that is required.
For instance types with hard disk drive (HDD) storage, specify hdd.
For instance types with solid state drive (SSD) storage, specify ssd.
Default: Any local storage type
(string) --
TotalLocalStorageGB (dict) --
The minimum and maximum total local storage size for an instance type, in GB.
Default: No minimum or maximum limits
Min (float) --
The storage minimum in GB.
Max (float) --
The storage maximum in GB.
BaselineEbsBandwidthMbps (dict) --
The minimum and maximum baseline bandwidth performance for an instance type, in Mbps. For more information, see Amazon EBS–optimized instances in the Amazon EC2 User Guide.
Default: No minimum or maximum limits
Min (integer) --
The minimum value in Mbps.
Max (integer) --
The maximum value in Mbps.
AcceleratorTypes (list) --
Lists the accelerator types that must be on an instance type.
For instance types with GPU accelerators, specify gpu.
For instance types with FPGA accelerators, specify fpga.
For instance types with inference accelerators, specify inference.
Default: Any accelerator type
(string) --
AcceleratorCount (dict) --
The minimum and maximum number of accelerators (GPUs, FPGAs, or Amazon Web Services Inferentia chips) for an instance type.
To exclude accelerator-enabled instance types, set Max to 0.
Default: No minimum or maximum limits
Min (integer) --
The minimum value.
Max (integer) --
The maximum value.
AcceleratorManufacturers (list) --
Indicates whether instance types must have accelerators by specific manufacturers.
For instance types with NVIDIA devices, specify nvidia.
For instance types with AMD devices, specify amd.
For instance types with Amazon Web Services devices, specify amazon-web-services.
For instance types with Xilinx devices, specify xilinx.
Default: Any manufacturer
(string) --
AcceleratorNames (list) --
Lists the accelerators that must be on an instance type.
For instance types with NVIDIA A100 GPUs, specify a100.
For instance types with NVIDIA V100 GPUs, specify v100.
For instance types with NVIDIA K80 GPUs, specify k80.
For instance types with NVIDIA T4 GPUs, specify t4.
For instance types with NVIDIA M60 GPUs, specify m60.
For instance types with AMD Radeon Pro V520 GPUs, specify radeon-pro-v520.
For instance types with Xilinx VU9P FPGAs, specify vu9p.
Default: Any accelerator
(string) --
AcceleratorTotalMemoryMiB (dict) --
The minimum and maximum total memory size for the accelerators on an instance type, in MiB.
Default: No minimum or maximum limits
Min (integer) --
The memory minimum in MiB.
Max (integer) --
The memory maximum in MiB.
NetworkBandwidthGbps (dict) --
The minimum and maximum amount of network bandwidth, in gigabits per second (Gbps).
Default: No minimum or maximum limits
Min (float) --
The minimum amount of network bandwidth, in gigabits per second (Gbps).
Max (float) --
The maximum amount of network bandwidth, in gigabits per second (Gbps).
AllowedInstanceTypes (list) --
The instance types to apply your specified attributes against. All other instance types are ignored, even if they match your specified attributes.
You can use strings with one or more wild cards, represented by an asterisk ( *), to allow an instance type, size, or generation. The following are examples: m5.8xlarge, c5*.*, m5a.*, r*, *3*.
For example, if you specify c5*, Amazon EC2 Auto Scaling will allow the entire C5 instance family, which includes all C5a and C5n instance types. If you specify m5a.*, Amazon EC2 Auto Scaling will allow all the M5a instance types, but not the M5n instance types.
Default: All instance types
(string) --
BaselinePerformanceFactors (dict) --
The baseline performance factors for the instance requirements.
Cpu (dict) --
The CPU performance to consider, using an instance family as the baseline reference.
References (list) --
Specify an instance family to use as the baseline reference for CPU performance. All instance types that match your specified attributes will be compared against the CPU performance of the referenced instance family, regardless of CPU manufacturer or architecture differences.
(dict) --
Specify an instance family to use as the baseline reference for CPU performance. All instance types that All instance types that match your specified attributes will be compared against the CPU performance of the referenced instance family, regardless of CPU manufacturer or architecture differences.
InstanceFamily (string) --
The instance family to use as a baseline reference.
The following instance types are not supported for performance protection.
c1
g3| g3s
hpc7g
m1| m2
mac1 | mac2 | mac2-m1ultra | mac2-m2 | mac2-m2pro
p3dn | p4d | p5
t1
u-12tb1 | u-18tb1 | u-24tb1 | u-3tb1 | u-6tb1 | u-9tb1 | u7i-12tb | u7in-16tb | u7in-24tb | u7in-32tb
If you performance protection by specifying a supported instance family, the returned instance types will exclude the preceding unsupported instance families.
If you specify an unsupported instance family as a value for baseline performance, the API returns an empty response.
ImageId (string) --
The ID of the Amazon Machine Image (AMI) to use for instances launched with this override. When using Instance Refresh with ReplaceRootVolume strategy, this specifies the AMI for root volume replacement operations.
For ReplaceRootVolume operations:
All overrides in the MixedInstancesPolicy must specify an ImageId
The AMI must contain only a single root volume
Root volume replacement doesn't support multi-volume AMIs
InstancesDistribution (dict) --
The instances distribution.
OnDemandAllocationStrategy (string) --
The allocation strategy to apply to your On-Demand Instances when they are launched. Possible instance types are determined by the launch template overrides that you specify.
The following lists the valid values:
lowest-price
Uses price to determine which instance types are the highest priority, launching the lowest priced instance types within an Availability Zone first. This is the default value for Auto Scaling groups that specify InstanceRequirements.
prioritized
You set the order of instance types for the launch template overrides from highest to lowest priority (from first to last in the list). Amazon EC2 Auto Scaling launches your highest priority instance types first. If all your On-Demand capacity cannot be fulfilled using your highest priority instance type, then Amazon EC2 Auto Scaling launches the remaining capacity using the second priority instance type, and so on. This is the default value for Auto Scaling groups that don't specify InstanceRequirements and cannot be used for groups that do.
OnDemandBaseCapacity (integer) --
The minimum amount of the Auto Scaling group's capacity that must be fulfilled by On-Demand Instances. This base portion is launched first as your group scales.
This number has the same unit of measurement as the group's desired capacity. If you change the default unit of measurement (number of instances) by specifying weighted capacity values in your launch template overrides list, or by changing the default desired capacity type setting of the group, you must specify this number using the same unit of measurement.
Default: 0
OnDemandPercentageAboveBaseCapacity (integer) --
Controls the percentages of On-Demand Instances and Spot Instances for your additional capacity beyond OnDemandBaseCapacity. Expressed as a number (for example, 20 specifies 20% On-Demand Instances, 80% Spot Instances). If set to 100, only On-Demand Instances are used.
Default: 100
SpotAllocationStrategy (string) --
The allocation strategy to apply to your Spot Instances when they are launched. Possible instance types are determined by the launch template overrides that you specify.
The following lists the valid values:
capacity-optimized
Requests Spot Instances using pools that are optimally chosen based on the available Spot capacity. This strategy has the lowest risk of interruption. To give certain instance types a higher chance of launching first, use capacity-optimized-prioritized.
capacity-optimized-prioritized
You set the order of instance types for the launch template overrides from highest to lowest priority (from first to last in the list). Amazon EC2 Auto Scaling honors the instance type priorities on a best effort basis but optimizes for capacity first. Note that if the On-Demand allocation strategy is set to prioritized, the same priority is applied when fulfilling On-Demand capacity. This is not a valid value for Auto Scaling groups that specify InstanceRequirements.
lowest-price
Requests Spot Instances using the lowest priced pools within an Availability Zone, across the number of Spot pools that you specify for the SpotInstancePools property. To ensure that your desired capacity is met, you might receive Spot Instances from several pools. This is the default value, but it might lead to high interruption rates because this strategy only considers instance price and not available capacity.
price-capacity-optimized (recommended)
The price and capacity optimized allocation strategy looks at both price and capacity to select the Spot Instance pools that are the least likely to be interrupted and have the lowest possible price.
SpotInstancePools (integer) --
The number of Spot Instance pools across which to allocate your Spot Instances. The Spot pools are determined from the different instance types in the overrides. Valid only when the SpotAllocationStrategy is lowest-price. Value must be in the range of 1–20.
Default: 2
SpotMaxPrice (string) --
The maximum price per unit hour that you are willing to pay for a Spot Instance. If your maximum price is lower than the Spot price for the instance types that you selected, your Spot Instances are not launched. We do not recommend specifying a maximum price because it can lead to increased interruptions. When Spot Instances launch, you pay the current Spot price. To remove a maximum price that you previously set, include the property but specify an empty string ("") for the value.
Valid Range: Minimum value of 0.001
DistributionSegments (list) --
The Distribution Segments configuration. Each segment contains an ordered list of capacity types to prioritize.
For more information, see Use Distribution Segments to target multiple capacity types in the Amazon EC2 Auto Scaling User Guide.
(dict) --
Use this structure to specify the capacity types that Amazon EC2 Auto Scaling prioritizes when it launches instances.
TargetCapacityTypes (list) --
The capacity types to prioritize, in order. Amazon EC2 Auto Scaling attempts to launch instances in the priority order of the capacity types, and within each capacity type, in the order of instance types listed in your launch template Overrides.
The following lists the valid values:
on-demand-capacity-reservation
On-Demand Capacity Reservations.
capacity-block
Capacity Blocks.
interruptible-capacity-reservation
Interruptible Capacity Reservations.
on-demand
On-Demand capacity. Include this value to allow the group to fall back to On-Demand capacity when the preceding capacity types are unavailable.
(string) --
MinSize (integer) --
The minimum size of the Auto Scaling group.
MaxSize (integer) --
The maximum size of the Auto Scaling group.
DesiredCapacity (integer) --
The desired size of the Auto Scaling group.
PredictedCapacity (integer) --
The predicted capacity of the group when it has a predictive scaling policy.
DefaultCooldown (integer) --
The duration of the default cooldown period, in seconds, for the Auto Scaling group.
AvailabilityZones (list) --
One or more Availability Zones for the Auto Scaling group.
(string) --
AvailabilityZoneIds (list) --
The Availability Zone IDs where the Auto Scaling group can launch instances.
(string) --
LoadBalancerNames (list) --
One or more load balancers associated with the group.
(string) --
TargetGroupARNs (list) --
The Amazon Resource Names (ARN) of the target groups for your load balancer.
(string) --
HealthCheckType (string) --
One or more comma-separated health check types for the Auto Scaling group.
HealthCheckGracePeriod (integer) --
The duration of the health check grace period, in seconds, for the Auto Scaling group.
Instances (list) --
The EC2 instances associated with the Auto Scaling group.
(dict) --
Describes an EC2 instance.
InstanceId (string) --
The ID of the instance.
InstanceType (string) --
The instance type of the EC2 instance.
AvailabilityZone (string) --
The Availability Zone in which the instance is running.
AvailabilityZoneId (string) --
The Availability Zone ID where the instance was launched.
LifecycleState (string) --
A description of the current lifecycle state. The Quarantined state is not used. For more information, see Amazon EC2 Auto Scaling instance lifecycle in the Amazon EC2 Auto Scaling User Guide.
HealthStatus (string) --
The last reported health status of the instance. Healthy means that the instance is healthy and should remain in service. Unhealthy means that the instance is unhealthy and that Amazon EC2 Auto Scaling should terminate and replace it.
LaunchConfigurationName (string) --
The launch configuration associated with the instance.
LaunchTemplate (dict) --
The launch template for the instance.
LaunchTemplateId (string) --
The ID of the launch template. To get the template ID, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
LaunchTemplateName (string) --
The name of the launch template. To get the template name, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
Version (string) --
The version number, $Latest, or $Default. To get the version number, use the Amazon EC2 DescribeLaunchTemplateVersions API operation. New launch template versions can be created using the Amazon EC2 CreateLaunchTemplateVersion API. If the value is $Latest, Amazon EC2 Auto Scaling selects the latest version of the launch template when launching instances. If the value is $Default, Amazon EC2 Auto Scaling selects the default version of the launch template when launching instances. The default value is $Default.
ImageId (string) --
The ID of the Amazon Machine Image (AMI) used for the instance's current root volume. This value reflects the most recent AMI applied to the instance, including updates made through root volume replacement operations.
This field appears for:
Instances with root volume replacements through Instance Refresh
Instances launched with AMI overrides
This field won't appear for:
Existing instances launched from Launch Templates without overrides
Existing instances that didn’t have their root volume replaced through Instance Refresh
ProtectedFromScaleIn (boolean) --
Indicates whether the instance is protected from termination by Amazon EC2 Auto Scaling when scaling in.
WeightedCapacity (string) --
The number of capacity units contributed by the instance based on its instance type.
Valid Range: Minimum value of 1. Maximum value of 999.
CreatedTime (datetime) --
The date and time the Auto Scaling group was created.
SuspendedProcesses (list) --
The suspended processes associated with the Auto Scaling group.
(dict) --
Describes an auto scaling process that has been suspended.
For more information, see Types of processes in the Amazon EC2 Auto Scaling User Guide.
ProcessName (string) --
The name of the suspended process.
SuspensionReason (string) --
The reason that the process was suspended.
PlacementGroup (string) --
The name of the placement group into which to launch EC2 instances for the Auto Scaling group.
VPCZoneIdentifier (string) --
One or more comma-separated subnet IDs for the Auto Scaling group.
EnabledMetrics (list) --
The metrics enabled for the Auto Scaling group.
(dict) --
Describes an enabled Auto Scaling group metric.
Metric (string) --
One of the following metrics:
GroupMinSize
GroupMaxSize
GroupDesiredCapacity
GroupInServiceInstances
GroupPendingInstances
GroupStandbyInstances
GroupTerminatingInstances
GroupTotalInstances
GroupInServiceCapacity
GroupPendingCapacity
GroupStandbyCapacity
GroupTerminatingCapacity
GroupTotalCapacity
WarmPoolDesiredCapacity
WarmPoolWarmedCapacity
WarmPoolPendingCapacity
WarmPoolTerminatingCapacity
WarmPoolTotalCapacity
GroupAndWarmPoolDesiredCapacity
GroupAndWarmPoolTotalCapacity
For more information, see Amazon CloudWatch metrics for Amazon EC2 Auto Scaling in the Amazon EC2 Auto Scaling User Guide.
Granularity (string) --
The granularity of the metric. The only valid value is 1Minute.
Status (string) --
The current state of the Auto Scaling group when the DeleteAutoScalingGroup operation is in progress.
Tags (list) --
The tags for the Auto Scaling group.
(dict) --
Describes a tag for an Auto Scaling group.
ResourceId (string) --
The name of the group.
ResourceType (string) --
The type of resource. The only supported value is auto-scaling-group.
Key (string) --
The tag key.
Value (string) --
The tag value.
PropagateAtLaunch (boolean) --
Determines whether the tag is added to new instances as they are launched in the group.
TerminationPolicies (list) --
The termination policies for the Auto Scaling group.
(string) --
NewInstancesProtectedFromScaleIn (boolean) --
Indicates whether newly launched EC2 instances are protected from termination when scaling in for the Auto Scaling group.
For more information about preventing instances from terminating on scale in, see Use instance scale-in protection in the Amazon EC2 Auto Scaling User Guide.
ServiceLinkedRoleARN (string) --
The Amazon Resource Name (ARN) of the service-linked role that the Auto Scaling group uses to call other Amazon Web Services on your behalf.
MaxInstanceLifetime (integer) --
The maximum amount of time, in seconds, that an EC2 instance can be in service for the Auto Scaling group.
CapacityRebalance (boolean) --
Indicates whether Capacity Rebalancing is enabled.
WarmPoolConfiguration (dict) --
The warm pool for the group.
MaxGroupPreparedCapacity (integer) --
The maximum number of instances that are allowed to be in the warm pool or in any state except Terminated for the Auto Scaling group.
MinSize (integer) --
The minimum number of instances to maintain in the warm pool.
PoolState (string) --
The instance state to transition to after the lifecycle actions are complete.
Status (string) --
The status of a warm pool that is marked for deletion.
InstanceReusePolicy (dict) --
The instance reuse policy.
ReuseOnScaleIn (boolean) --
Specifies whether instances in the Auto Scaling group can be returned to the warm pool on scale in.
WarmPoolSize (integer) --
The current size of the warm pool.
Context (string) --
Reserved.
DesiredCapacityType (string) --
The unit of measurement for the value specified for desired capacity. Amazon EC2 Auto Scaling supports DesiredCapacityType for attribute-based instance type selection only.
DefaultInstanceWarmup (integer) --
The duration of the default EC2 instance warmup time, in seconds, for the Auto Scaling group.
TrafficSources (list) --
The traffic sources associated with this Auto Scaling group.
(dict) --
Identifying information for a traffic source.
Identifier (string) --
Identifies the traffic source.
For Application Load Balancers, Gateway Load Balancers, Network Load Balancers, and VPC Lattice, this will be the Amazon Resource Name (ARN) for a target group in this account and Region. For Classic Load Balancers, this will be the name of the Classic Load Balancer in this account and Region.
For example:
Application Load Balancer ARN: arn:aws:elasticloadbalancing:us-west-2:123456789012:targetgroup/my-targets/1234567890123456
Classic Load Balancer name: my-classic-load-balancer
VPC Lattice ARN: arn:aws:vpc-lattice:us-west-2:123456789012:targetgroup/tg-1234567890123456
To get the ARN of a target group for a Application Load Balancer, Gateway Load Balancer, or Network Load Balancer, or the name of a Classic Load Balancer, use the Elastic Load Balancing DescribeTargetGroups and DescribeLoadBalancers API operations.
To get the ARN of a target group for VPC Lattice, use the VPC Lattice GetTargetGroup API operation.
Type (string) --
Provides additional context for the value of Identifier.
The following lists the valid values:
elb if Identifier is the name of a Classic Load Balancer.
elbv2 if Identifier is the ARN of an Application Load Balancer, Gateway Load Balancer, or Network Load Balancer target group.
vpc-lattice if Identifier is the ARN of a VPC Lattice target group.
Required if the identifier is the name of a Classic Load Balancer.
InstanceMaintenancePolicy (dict) --
An instance maintenance policy.
MinHealthyPercentage (integer) --
Specifies the lower threshold as a percentage of the desired capacity of the Auto Scaling group. It represents the minimum percentage of the group to keep in service, healthy, and ready to use to support your workload when replacing instances. Value range is 0 to 100. To clear a previously set value, specify a value of -1.
MaxHealthyPercentage (integer) --
Specifies the upper threshold as a percentage of the desired capacity of the Auto Scaling group. It represents the maximum percentage of the group that can be in service and healthy, or pending, to support your workload when replacing instances. Value range is 100 to 200. To clear a previously set value, specify a value of -1.
Both MinHealthyPercentage and MaxHealthyPercentage must be specified, and the difference between them cannot be greater than 100. A large range increases the number of instances that can be replaced at the same time.
DeletionProtection (string) --
The deletion protection setting for the Auto Scaling group.
AvailabilityZoneDistribution (dict) --
The EC2 instance capacity distribution across Availability Zones for the Auto Scaling group.
CapacityDistributionStrategy (string) --
If launches fail in an Availability Zone, the following strategies are available. The default is balanced-best-effort.
balanced-only - If launches fail in an Availability Zone, Auto Scaling will continue to attempt to launch in the unhealthy zone to preserve a balanced distribution.
balanced-best-effort - If launches fail in an Availability Zone, Auto Scaling will attempt to launch in another healthy Availability Zone instead.
reservations-then-balanced - Auto Scaling will first attempt to launch into your Capacity Reservations, and then balance any remaining capacity across healthy Availability Zones.
AvailabilityZoneImpairmentPolicy (dict) --
The Availability Zone impairment policy for the Auto Scaling group.
ZonalShiftEnabled (boolean) --
If true, enable zonal shift for your Auto Scaling group.
ImpairedZoneHealthCheckBehavior (string) --
Specifies the health check behavior for the impaired Availability Zone in an active zonal shift. If you select Replace unhealthy, instances that appear unhealthy will be replaced in all Availability Zones. If you select Ignore unhealthy, instances will not be replaced in the Availability Zone with the active zonal shift. For more information, see Auto Scaling group zonal shift in the Amazon EC2 Auto Scaling User Guide.
CapacityReservationSpecification (dict) --
The capacity reservation specification for the Auto Scaling group.
CapacityReservationPreference (string) --
The capacity reservation preference. The following options are available:
capacity-reservations-only - Auto Scaling will only launch instances into a Capacity Reservation or Capacity Reservation resource group. If capacity isn't available, instances will fail to launch.
capacity-reservations-first - Auto Scaling will try to launch instances into a Capacity Reservation or Capacity Reservation resource group first. If capacity isn't available, instances will run in On-Demand capacity.
none - Auto Scaling will not launch instances into a Capacity Reservation. Instances will run in On-Demand capacity.
default - Auto Scaling uses the Capacity Reservation preference from your launch template or an open Capacity Reservation.
CapacityReservationTarget (dict) --
Describes a target Capacity Reservation or Capacity Reservation resource group.
CapacityReservationIds (list) --
The Capacity Reservation IDs to launch instances into.
(string) --
CapacityReservationResourceGroupArns (list) --
The resource group ARNs of the Capacity Reservation to launch instances into.
(string) --
InstanceLifecyclePolicy (dict) --
The instance lifecycle policy for the Auto Scaling group.
RetentionTriggers (dict) --
Specifies the conditions that trigger instance retention behavior. These triggers determine when instances should move to a Retained state instead of automatic termination. This allows you to maintain control over instance management when lifecycles transition and operations fail.
TerminateHookAbandon (string) --
Specifies the action when a termination lifecycle hook is abandoned due to failure, timeout, or explicit abandonment (calling CompleteLifecycleAction).
Set to retain to move instances to a retained state. Set to terminate for default termination behavior.
Retained instances don't count toward desired capacity and remain until you call TerminateInstanceInAutoScalingGroup.
Operator (dict) --
The entity that manages the Auto Scaling group, if applicable. When set, only the designated operator can make changes to the group configuration.
Principal (string) --
The service principal that is authorized to manage the Auto Scaling group. When an operator is specified, only the designated operator service principal can make mutating changes to the Auto Scaling group.
NextToken (string) --
A string that indicates that the response contains more items than can be returned in a single response. To receive additional items, specify this string for the NextToken value when requesting the next set of items. This value is null when there are no more items to return.
{'IncludeManagedResources': 'boolean'}
Gets information about the Auto Scaling instances in the account and Region.
See also: AWS API Documentation
Request Syntax
client.describe_auto_scaling_instances(
InstanceIds=[
'string',
],
IncludeManagedResources=True|False,
MaxRecords=123,
NextToken='string'
)
list
The IDs of the instances. If you omit this property, all Auto Scaling instances are described. If you specify an ID that does not exist, it is ignored with no error.
Array Members: Maximum number of 50 items.
(string) --
boolean
Specifies whether to include managed Auto Scaling instances in the response. When set to true (default), the response includes managed Auto Scaling instances.
integer
The maximum number of items to return with this call. The default value is 50 and the maximum value is 50.
A response can contain fewer items than the value specified by MaxRecords, even when more items are available. To retrieve the additional items, use the NextToken value in a subsequent call rather than relying on the number of items in the response.
string
The token for the next set of items to return. (You received this token from a previous call.)
dict
Response Syntax
{
'AutoScalingInstances': [
{
'InstanceId': 'string',
'InstanceType': 'string',
'AutoScalingGroupName': 'string',
'AvailabilityZone': 'string',
'AvailabilityZoneId': 'string',
'LifecycleState': 'string',
'HealthStatus': 'string',
'LaunchConfigurationName': 'string',
'LaunchTemplate': {
'LaunchTemplateId': 'string',
'LaunchTemplateName': 'string',
'Version': 'string'
},
'ImageId': 'string',
'ProtectedFromScaleIn': True|False,
'WeightedCapacity': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
AutoScalingInstances (list) --
The instances.
(dict) --
Describes an EC2 instance associated with an Auto Scaling group.
InstanceId (string) --
The ID of the instance.
InstanceType (string) --
The instance type of the EC2 instance.
AutoScalingGroupName (string) --
The name of the Auto Scaling group for the instance.
AvailabilityZone (string) --
The Availability Zone for the instance.
AvailabilityZoneId (string) --
The Availability Zone ID where the instance is located.
LifecycleState (string) --
The lifecycle state for the instance. The Quarantined state is not used. For more information, see Amazon EC2 Auto Scaling instance lifecycle in the Amazon EC2 Auto Scaling User Guide.
Valid values: Pending | Pending:Wait | Pending:Proceed | Quarantined | InService | Terminating | Terminating:Wait | Terminating:Proceed | Terminating:Retained | Terminated | Detaching | Detached | EnteringStandby | Standby | ReplacingRootVolume | ReplacingRootVolume:Wait | ReplacingRootVolume:Proceed | RootVolumeReplaced | Warmed:Pending | Warmed:Pending:Wait | Warmed:Pending:Proceed | Warmed:Pending:Retained | Warmed:Terminating | Warmed:Terminating:Wait | Warmed:Terminating:Proceed | Warmed:Terminating:Retained | Warmed:Terminated | Warmed:Stopped | Warmed:Running | Warmed:Hibernated
HealthStatus (string) --
The last reported health status of this instance. Healthy means that the instance is healthy and should remain in service. Unhealthy means that the instance is unhealthy and Amazon EC2 Auto Scaling should terminate and replace it.
LaunchConfigurationName (string) --
The launch configuration used to launch the instance. This value is not available if you attached the instance to the Auto Scaling group.
LaunchTemplate (dict) --
The launch template for the instance.
LaunchTemplateId (string) --
The ID of the launch template. To get the template ID, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
LaunchTemplateName (string) --
The name of the launch template. To get the template name, use the Amazon EC2 DescribeLaunchTemplates API operation. New launch templates can be created using the Amazon EC2 CreateLaunchTemplate API.
Conditional: You must specify either a LaunchTemplateId or a LaunchTemplateName.
Version (string) --
The version number, $Latest, or $Default. To get the version number, use the Amazon EC2 DescribeLaunchTemplateVersions API operation. New launch template versions can be created using the Amazon EC2 CreateLaunchTemplateVersion API. If the value is $Latest, Amazon EC2 Auto Scaling selects the latest version of the launch template when launching instances. If the value is $Default, Amazon EC2 Auto Scaling selects the default version of the launch template when launching instances. The default value is $Default.
ImageId (string) --
The ID of the Amazon Machine Image (AMI) associated with the instance. This field shows the current AMI ID of the instance's root volume. It may differ from the original AMI used when the instance was first launched.
This field appears for:
Instances with root volume replacements through Instance Refresh
Instances launched with AMI overrides
This field won't appear for:
Existing instances launched from Launch Templates without overrides
Existing instances that didn’t have their root volume replaced through Instance Refresh
ProtectedFromScaleIn (boolean) --
Indicates whether the instance is protected from termination by Amazon EC2 Auto Scaling when scaling in.
WeightedCapacity (string) --
The number of capacity units contributed by the instance based on its instance type.
Valid Range: Minimum value of 1. Maximum value of 999.
NextToken (string) --
A string that indicates that the response contains more items than can be returned in a single response. To receive additional items, specify this string for the NextToken value when requesting the next set of items. This value is null when there are no more items to return.
{'IncludeManagedResources': 'boolean'}
Gets information about the Amazon SNS notifications that are configured for one or more Auto Scaling groups.
See also: AWS API Documentation
Request Syntax
client.describe_notification_configurations(
AutoScalingGroupNames=[
'string',
],
IncludeManagedResources=True|False,
NextToken='string',
MaxRecords=123
)
list
The name of the Auto Scaling group.
(string) --
boolean
Specifies whether to include notification configurations for managed Auto Scaling groups in the response. When set to true (default), the response includes notification configurations for managed Auto Scaling groups.
string
The token for the next set of items to return. (You received this token from a previous call.)
integer
The maximum number of items to return with this call. The default value is 50 and the maximum value is 100.
A response can contain fewer items than the value specified by MaxRecords, even when more items are available. To retrieve the additional items, use the NextToken value in a subsequent call rather than relying on the number of items in the response.
dict
Response Syntax
{
'NotificationConfigurations': [
{
'AutoScalingGroupName': 'string',
'TopicARN': 'string',
'NotificationType': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
NotificationConfigurations (list) --
The notification configurations.
(dict) --
Describes a notification.
AutoScalingGroupName (string) --
The name of the Auto Scaling group.
TopicARN (string) --
The Amazon Resource Name (ARN) of the Amazon SNS topic.
NotificationType (string) --
One of the following event notification types:
autoscaling:EC2_INSTANCE_LAUNCH
autoscaling:EC2_INSTANCE_LAUNCH_ERROR
autoscaling:EC2_INSTANCE_TERMINATE
autoscaling:EC2_INSTANCE_TERMINATE_ERROR
autoscaling:TEST_NOTIFICATION
NextToken (string) --
A string that indicates that the response contains more items than can be returned in a single response. To receive additional items, specify this string for the NextToken value when requesting the next set of items. This value is null when there are no more items to return.
{'IncludeManagedResources': 'boolean'}
Gets information about the scaling policies in the account and Region.
See also: AWS API Documentation
Request Syntax
client.describe_policies(
AutoScalingGroupName='string',
PolicyNames=[
'string',
],
PolicyTypes=[
'string',
],
IncludeManagedResources=True|False,
NextToken='string',
MaxRecords=123
)
string
The name of the Auto Scaling group.
list
The names of one or more policies. If you omit this property, all policies are described. If a group name is provided, the results are limited to that group. If you specify an unknown policy name, it is ignored with no error.
Array Members: Maximum number of 50 items.
(string) --
list
One or more policy types. The valid values are SimpleScaling, StepScaling, TargetTrackingScaling, and PredictiveScaling.
(string) --
boolean
Specifies whether to include scaling policies for managed Auto Scaling groups in the response. When set to true (default), the response includes scaling policies for managed Auto Scaling groups.
string
The token for the next set of items to return. (You received this token from a previous call.)
integer
The maximum number of items to be returned with each call. The default value is 50 and the maximum value is 100.
A response can contain fewer items than the value specified by MaxRecords, even when more items are available. To retrieve the additional items, use the NextToken value in a subsequent call rather than relying on the number of items in the response.
dict
Response Syntax
{
'ScalingPolicies': [
{
'AutoScalingGroupName': 'string',
'PolicyName': 'string',
'PolicyARN': 'string',
'PolicyType': 'string',
'AdjustmentType': 'string',
'MinAdjustmentStep': 123,
'MinAdjustmentMagnitude': 123,
'ScalingAdjustment': 123,
'Cooldown': 123,
'StepAdjustments': [
{
'MetricIntervalLowerBound': 123.0,
'MetricIntervalUpperBound': 123.0,
'ScalingAdjustment': 123
},
],
'MetricAggregationType': 'string',
'EstimatedInstanceWarmup': 123,
'Alarms': [
{
'AlarmName': 'string',
'AlarmARN': 'string'
},
],
'TargetTrackingConfiguration': {
'PredefinedMetricSpecification': {
'PredefinedMetricType': 'ASGAverageCPUUtilization'|'ASGAverageNetworkIn'|'ASGAverageNetworkOut'|'ALBRequestCountPerTarget',
'ResourceLabel': 'string'
},
'CustomizedMetricSpecification': {
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Statistic': 'Average'|'Minimum'|'Maximum'|'SampleCount'|'Sum',
'Unit': 'string',
'Period': 123,
'Metrics': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Namespace': 'string',
'MetricName': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
]
},
'Stat': 'string',
'Unit': 'string',
'Period': 123
},
'Label': 'string',
'Period': 123,
'ReturnData': True|False
},
]
},
'TargetValue': 123.0,
'DisableScaleIn': True|False
},
'Enabled': True|False,
'PredictiveScalingConfiguration': {
'MetricSpecifications': [
{
'TargetValue': 123.0,
'PredefinedMetricPairSpecification': {
'PredefinedMetricType': 'ASGCPUUtilization'|'ASGNetworkIn'|'ASGNetworkOut'|'ALBRequestCount',
'ResourceLabel': 'string'
},
'PredefinedScalingMetricSpecification': {
'PredefinedMetricType': 'ASGAverageCPUUtilization'|'ASGAverageNetworkIn'|'ASGAverageNetworkOut'|'ALBRequestCountPerTarget',
'ResourceLabel': 'string'
},
'PredefinedLoadMetricSpecification': {
'PredefinedMetricType': 'ASGTotalCPUUtilization'|'ASGTotalNetworkIn'|'ASGTotalNetworkOut'|'ALBTargetGroupRequestCount',
'ResourceLabel': 'string'
},
'CustomizedScalingMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Namespace': 'string',
'MetricName': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
]
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedLoadMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Namespace': 'string',
'MetricName': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
]
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
},
'CustomizedCapacityMetricSpecification': {
'MetricDataQueries': [
{
'Id': 'string',
'Expression': 'string',
'MetricStat': {
'Metric': {
'Namespace': 'string',
'MetricName': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
]
},
'Stat': 'string',
'Unit': 'string'
},
'Label': 'string',
'ReturnData': True|False
},
]
}
},
],
'Mode': 'ForecastAndScale'|'ForecastOnly',
'SchedulingBufferTime': 123,
'MaxCapacityBreachBehavior': 'HonorMaxCapacity'|'IncreaseMaxCapacity',
'MaxCapacityBuffer': 123
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
ScalingPolicies (list) --
The scaling policies.
(dict) --
Describes a scaling policy.
AutoScalingGroupName (string) --
The name of the Auto Scaling group.
PolicyName (string) --
The name of the scaling policy.
PolicyARN (string) --
The Amazon Resource Name (ARN) of the policy.
PolicyType (string) --
One of the following policy types:
TargetTrackingScaling
StepScaling
SimpleScaling (default)
PredictiveScaling
For more information, see Target tracking scaling policies and Step and simple scaling policies in the Amazon EC2 Auto Scaling User Guide.
AdjustmentType (string) --
Specifies how the scaling adjustment is interpreted (for example, an absolute number or a percentage). The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
MinAdjustmentStep (integer) --
Available for backward compatibility. Use MinAdjustmentMagnitude instead.
MinAdjustmentMagnitude (integer) --
The minimum value to scale by when the adjustment type is PercentChangeInCapacity.
ScalingAdjustment (integer) --
The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity.
Cooldown (integer) --
The duration of the policy's cooldown period, in seconds.
StepAdjustments (list) --
A set of adjustments that enable you to scale based on the size of the alarm breach.
(dict) --
Describes information used to create a step adjustment for a step scaling policy.
For the following examples, suppose that you have an alarm with a breach threshold of 50:
To trigger the adjustment when the metric is greater than or equal to 50 and less than 60, specify a lower bound of 0 and an upper bound of 10.
To trigger the adjustment when the metric is greater than 40 and less than or equal to 50, specify a lower bound of -10 and an upper bound of 0.
There are a few rules for the step adjustments for your step policy:
The ranges of your step adjustments can't overlap or have a gap.
At most, one step adjustment can have a null lower bound. If one step adjustment has a negative lower bound, then there must be a step adjustment with a null lower bound.
At most, one step adjustment can have a null upper bound. If one step adjustment has a positive upper bound, then there must be a step adjustment with a null upper bound.
The upper and lower bound can't be null in the same step adjustment.
For more information, see Step adjustments in the Amazon EC2 Auto Scaling User Guide.
MetricIntervalLowerBound (float) --
The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.
MetricIntervalUpperBound (float) --
The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity.
The upper bound must be greater than the lower bound.
ScalingAdjustment (integer) --
The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a non-negative value.
MetricAggregationType (string) --
The aggregation type for the CloudWatch metrics. The valid values are Minimum, Maximum, and Average.
EstimatedInstanceWarmup (integer) --
The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics.
Alarms (list) --
The CloudWatch alarms related to the policy.
(dict) --
Describes an alarm.
AlarmName (string) --
The name of the alarm.
AlarmARN (string) --
The Amazon Resource Name (ARN) of the alarm.
TargetTrackingConfiguration (dict) --
A target tracking scaling policy.
PredefinedMetricSpecification (dict) --
A predefined metric. You must specify either a predefined metric or a customized metric.
PredefinedMetricType (string) --
The metric type. The following predefined metrics are available:
ASGAverageCPUUtilization - Average CPU utilization of the Auto Scaling group.
ASGAverageNetworkIn - Average number of bytes received on all network interfaces by the Auto Scaling group.
ASGAverageNetworkOut - Average number of bytes sent out on all network interfaces by the Auto Scaling group.
ALBRequestCountPerTarget - Average Application Load Balancer request count per target for your Auto Scaling group.
ResourceLabel (string) --
A label that uniquely identifies a specific Application Load Balancer target group from which to determine the average request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.
You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:
app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff.
Where:
app/<load-balancer-name>/<load-balancer-id> is the final portion of the load balancer ARN
targetgroup/<target-group-name>/<target-group-id> is the final portion of the target group ARN.
To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.
CustomizedMetricSpecification (dict) --
A customized metric. You must specify either a predefined metric or a customized metric.
MetricName (string) --
The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Namespace (string) --
The namespace of the metric.
Dimensions (list) --
The dimensions of the metric.
Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
Statistic (string) --
The statistic of the metric.
Unit (string) --
The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.
Period (integer) --
The period of the metric in seconds. The default value is 60. Accepted values are 10, 30, and 60. For high resolution metric, set the value to less than 60. For more information, see Create a target tracking policy using high-resolution metrics for faster response.
Metrics (list) --
The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.
(dict) --
The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp.
Id (string) --
A short name that identifies the object's results in the response. This name must be unique among all TargetTrackingMetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Expression (string) --
The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions.
Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
The metric to use.
Namespace (string) --
The namespace of the metric. For more information, see the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
MetricName (string) --
The name of the metric.
Dimensions (list) --
The dimensions for the metric. For the list of available dimensions, see the Amazon Web Services documentation available from the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
Stat (string) --
The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide.
The most commonly used metric for scaling is Average.
Unit (string) --
The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.
Period (integer) --
The period of the metric in seconds. The default value is 60. Accepted values are 10, 30, and 60. For high resolution metric, set the value to less than 60. For more information, see Create a target tracking policy using high-resolution metrics for faster response.
Label (string) --
A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
Period (integer) --
The period of the metric in seconds. The default value is 60. Accepted values are 10, 30, and 60. For high resolution metric, set the value to less than 60. For more information, see Create a target tracking policy using high-resolution metrics for faster response.
ReturnData (boolean) --
Indicates whether to return the timestamps and raw data values of this metric.
If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification.
If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default ( true).
TargetValue (float) --
The target value for the metric.
DisableScaleIn (boolean) --
Indicates whether scaling in by the target tracking scaling policy is disabled. If scaling in is disabled, the target tracking scaling policy doesn't remove instances from the Auto Scaling group. Otherwise, the target tracking scaling policy can remove instances from the Auto Scaling group. The default is false.
Enabled (boolean) --
Indicates whether the policy is enabled ( true) or disabled ( false).
PredictiveScalingConfiguration (dict) --
A predictive scaling policy.
MetricSpecifications (list) --
This structure includes the metrics and target utilization to use for predictive scaling.
This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.
(dict) --
This structure specifies the metrics and target utilization settings for a predictive scaling policy.
You must specify either a metric pair, or a load metric and a scaling metric individually. Specifying a metric pair instead of individual metrics provides a simpler way to configure metrics for a scaling policy. You choose the metric pair, and the policy automatically knows the correct sum and average statistics to use for the load metric and the scaling metric.
Example
You create a predictive scaling policy and specify ALBRequestCount as the value for the metric pair and 1000.0 as the target value. For this type of metric, you must provide the metric dimension for the corresponding target group, so you also provide a resource label for the Application Load Balancer target group that is attached to your Auto Scaling group.
The number of requests the target group receives per minute provides the load metric, and the request count averaged between the members of the target group provides the scaling metric. In CloudWatch, this refers to the RequestCount and RequestCountPerTarget metrics, respectively.
For optimal use of predictive scaling, you adhere to the best practice of using a dynamic scaling policy to automatically scale between the minimum capacity and maximum capacity in response to real-time changes in resource utilization.
Amazon EC2 Auto Scaling consumes data points for the load metric over the last 14 days and creates an hourly load forecast for predictive scaling. (A minimum of 24 hours of data is required.)
After creating the load forecast, Amazon EC2 Auto Scaling determines when to reduce or increase the capacity of your Auto Scaling group in each hour of the forecast period so that the average number of requests received by each instance is as close to 1000 requests per minute as possible at all times.
For information about using custom metrics with predictive scaling, see Advanced predictive scaling policy configurations using custom metrics in the Amazon EC2 Auto Scaling User Guide.
TargetValue (float) --
Specifies the target utilization.
PredefinedMetricPairSpecification (dict) --
The predefined metric pair specification from which Amazon EC2 Auto Scaling determines the appropriate scaling metric and load metric to use.
PredefinedMetricType (string) --
Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric. For example, if the metric type is ASGCPUUtilization, the Auto Scaling group's total CPU metric is used as the load metric, and the average CPU metric is used for the scaling metric.
ResourceLabel (string) --
A label that uniquely identifies a specific Application Load Balancer target group from which to determine the total and average request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.
You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:
app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff.
Where:
app/<load-balancer-name>/<load-balancer-id> is the final portion of the load balancer ARN
targetgroup/<target-group-name>/<target-group-id> is the final portion of the target group ARN.
To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.
PredefinedScalingMetricSpecification (dict) --
The predefined scaling metric specification.
PredefinedMetricType (string) --
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a specific Application Load Balancer target group from which to determine the average request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.
You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:
app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff.
Where:
app/<load-balancer-name>/<load-balancer-id> is the final portion of the load balancer ARN
targetgroup/<target-group-name>/<target-group-id> is the final portion of the target group ARN.
To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.
PredefinedLoadMetricSpecification (dict) --
The predefined load metric specification.
PredefinedMetricType (string) --
The metric type.
ResourceLabel (string) --
A label that uniquely identifies a specific Application Load Balancer target group from which to determine the request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.
You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:
app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff.
Where:
app/<load-balancer-name>/<load-balancer-id> is the final portion of the load balancer ARN
targetgroup/<target-group-name>/<target-group-id> is the final portion of the target group ARN.
To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.
CustomizedScalingMetricSpecification (dict) --
The customized scaling metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide the data points for a scaling metric. Use multiple metric data queries only if you are performing a math expression on returned data.
(dict) --
The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp.
For more information and examples, see Advanced predictive scaling policy configurations using custom metrics in the Amazon EC2 Auto Scaling User Guide.
Id (string) --
A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Expression (string) --
The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Namespace (string) --
The namespace of the metric. For more information, see the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
MetricName (string) --
The name of the metric.
Dimensions (list) --
The dimensions for the metric. For the list of available dimensions, see the Amazon Web Services documentation available from the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
Stat (string) --
The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide.
The most commonly used metrics for predictive scaling are Average and Sum.
Unit (string) --
The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.
Label (string) --
A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
ReturnData (boolean) --
Indicates whether to return the timestamps and raw data values of this metric.
If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification.
If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default ( true).
CustomizedLoadMetricSpecification (dict) --
The customized load metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide the data points for a load metric. Use multiple metric data queries only if you are performing a math expression on returned data.
(dict) --
The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp.
For more information and examples, see Advanced predictive scaling policy configurations using custom metrics in the Amazon EC2 Auto Scaling User Guide.
Id (string) --
A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Expression (string) --
The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Namespace (string) --
The namespace of the metric. For more information, see the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
MetricName (string) --
The name of the metric.
Dimensions (list) --
The dimensions for the metric. For the list of available dimensions, see the Amazon Web Services documentation available from the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
Stat (string) --
The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide.
The most commonly used metrics for predictive scaling are Average and Sum.
Unit (string) --
The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.
Label (string) --
A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
ReturnData (boolean) --
Indicates whether to return the timestamps and raw data values of this metric.
If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification.
If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default ( true).
CustomizedCapacityMetricSpecification (dict) --
The customized capacity metric specification.
MetricDataQueries (list) --
One or more metric data queries to provide the data points for a capacity metric. Use multiple metric data queries only if you are performing a math expression on returned data.
(dict) --
The metric data to return. Also defines whether this call is returning data for one metric only, or whether it is performing a math expression on the values of returned metric statistics to create a new time series. A time series is a series of data points, each of which is associated with a timestamp.
For more information and examples, see Advanced predictive scaling policy configurations using custom metrics in the Amazon EC2 Auto Scaling User Guide.
Id (string) --
A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.
Expression (string) --
The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
MetricStat (dict) --
Information about the metric data to return.
Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat, but not both.
Metric (dict) --
The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics.
Namespace (string) --
The namespace of the metric. For more information, see the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
MetricName (string) --
The name of the metric.
Dimensions (list) --
The dimensions for the metric. For the list of available dimensions, see the Amazon Web Services documentation available from the table in Amazon Web Services services that publish CloudWatch metrics in the Amazon CloudWatch User Guide.
Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.
(dict) --
Describes the dimension of a metric.
Name (string) --
The name of the dimension.
Value (string) --
The value of the dimension.
Stat (string) --
The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide.
The most commonly used metrics for predictive scaling are Average and Sum.
Unit (string) --
The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference.
Label (string) --
A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.
ReturnData (boolean) --
Indicates whether to return the timestamps and raw data values of this metric.
If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification.
If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData. This sets it to its default ( true).
Mode (string) --
The predictive scaling mode. Defaults to ForecastOnly if not specified.
SchedulingBufferTime (integer) --
The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to pre-launch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.
The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.
MaxCapacityBreachBehavior (string) --
Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity if not specified.
The following are possible values:
HonorMaxCapacity - Amazon EC2 Auto Scaling can't increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity.
IncreaseMaxCapacity - Amazon EC2 Auto Scaling can increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer.
MaxCapacityBuffer (integer) --
The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.
If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.
Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.
NextToken (string) --
A string that indicates that the response contains more items than can be returned in a single response. To receive additional items, specify this string for the NextToken value when requesting the next set of items. This value is null when there are no more items to return.
{'IncludeManagedResources': 'boolean'}
Gets information about the scaling activities in the account and Region.
When scaling events occur, you see a record of the scaling activity in the scaling activities. For more information, see Verify a scaling activity for an Auto Scaling group in the Amazon EC2 Auto Scaling User Guide.
If the scaling event succeeds, the value of the StatusCode element in the response is Successful. If an attempt to launch instances failed, the StatusCode value is Failed or Cancelled and the StatusMessage element in the response indicates the cause of the failure. For help interpreting the StatusMessage, see Troubleshooting Amazon EC2 Auto Scaling in the Amazon EC2 Auto Scaling User Guide.
See also: AWS API Documentation
Request Syntax
client.describe_scaling_activities(
ActivityIds=[
'string',
],
AutoScalingGroupName='string',
IncludeDeletedGroups=True|False,
IncludeManagedResources=True|False,
MaxRecords=123,
NextToken='string',
Filters=[
{
'Name': 'string',
'Values': [
'string',
]
},
]
)
list
The activity IDs of the desired scaling activities. If unknown activity IDs are requested, they are ignored with no error. Only activities started within the last six weeks can be returned regardless of the activity IDs specified. If other filters are specified with the request, only results matching all filter criteria can be returned.
Array Members: Maximum number of 50 IDs.
(string) --
string
The name of the Auto Scaling group.
boolean
Indicates whether to include scaling activity from deleted Auto Scaling groups.
boolean
Specifies whether to include scaling activities for managed Auto Scaling groups in the response. When set to true (default), the response includes scaling activities for managed Auto Scaling groups.
integer
The maximum number of items to return with this call. The default value is 100 and the maximum value is 100.
A response can contain fewer items than the value specified by MaxRecords, even when more items are available. To retrieve the additional items, use the NextToken value in a subsequent call rather than relying on the number of items in the response.
string
The token for the next set of items to return. (You received this token from a previous call.)
list
One or more filters to limit the results based on specific criteria. The following filters are supported:
StartTimeLowerBound - The earliest scaling activities to return based on the activity start time. Scaling activities with a start time earlier than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
StartTimeUpperBound - The latest scaling activities to return based on the activity start time. Scaling activities with a start time later than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
Status - The StatusCode value of the scaling activity. This filter can only be used in combination with the AutoScalingGroupName parameter. For valid StatusCode values, see Activity in the Amazon EC2 Auto Scaling API Reference.
StartTimeLowerBound and StartTimeUpperBound accept ISO 8601 formatted timestamps. Timestamps without a timezone offset are assumed to be UTC.
2000-01-18T08:15:00Z
2000-01-18T16:15:00+08:00
(dict) --
Describes a filter that is used to return a more specific list of results from a describe operation.
If you specify multiple filters, the filters are automatically logically joined with an AND, and the request returns only the results that match all of the specified filters.
For more information, see Tag Auto Scaling groups and instances in the Amazon EC2 Auto Scaling User Guide.
Name (string) --
The name of the filter.
The valid values for Name depend on which API operation you're using with the filter.
Valid values for Name include the following:
tag-key - Accepts tag keys. The results only include information about the Auto Scaling groups associated with these tag keys.
tag-value - Accepts tag values. The results only include information about the Auto Scaling groups associated with these tag values.
tag:<key> - Accepts the key/value combination of the tag. Use the tag key in the filter name and the tag value as the filter value. The results only include information about the Auto Scaling groups associated with the specified key/value combination.
Valid values for Name include the following:
auto-scaling-group - Accepts the names of Auto Scaling groups. The results only include information about the tags associated with these Auto Scaling groups.
key - Accepts tag keys. The results only include information about the tags associated with these tag keys.
value - Accepts tag values. The results only include information about the tags associated with these tag values.
propagate-at-launch - Accepts a Boolean value, which specifies whether tags propagate to instances at launch. The results only include information about the tags associated with the specified Boolean value.
Valid values for Name include the following:
StartTimeLowerBound - The earliest scaling activities to return based on the activity start time. Scaling activities with a start time earlier than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
StartTimeUpperBound - The latest scaling activities to return based on the activity start time. Scaling activities with a start time later than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
Status - The StatusCode value of the scaling activity. This filter can only be used in combination with the AutoScalingGroupName parameter. For valid StatusCode values, see Activity in the Amazon EC2 Auto Scaling API Reference.
StartTimeLowerBound and StartTimeUpperBound accept ISO 8601 formatted timestamps. Timestamps without a timezone offset are assumed to be UTC.
2000-01-18T08:15:00Z
2000-01-18T16:15:00+08:00
Values (list) --
One or more filter values. Filter values are case-sensitive.
If you specify multiple values for a filter, the values are automatically logically joined with an OR, and the request returns all results that match any of the specified values.
DescribeAutoScalingGroups example: Specify "tag:environment" for the filter name and "production,development" for the filter values to find Auto Scaling groups with the tag "environment=production" or "environment=development".
DescribeScalingActivities example: Specify "Status" for the filter name and "Successful,Failed" for the filter values to find scaling activities with a status of either "Successful" or "Failed".
(string) --
dict
Response Syntax
{
'Activities': [
{
'ActivityId': 'string',
'AutoScalingGroupName': 'string',
'Description': 'string',
'Cause': 'string',
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'StatusCode': 'PendingSpotBidPlacement'|'WaitingForSpotInstanceRequestId'|'WaitingForSpotInstanceId'|'WaitingForInstanceId'|'PreInService'|'InProgress'|'WaitingForELBConnectionDraining'|'MidLifecycleAction'|'WaitingForInstanceWarmup'|'Successful'|'Failed'|'Cancelled'|'WaitingForConnectionDraining'|'WaitingForInPlaceUpdateToStart'|'WaitingForInPlaceUpdateToFinalize'|'InPlaceUpdateInProgress',
'StatusMessage': 'string',
'Progress': 123,
'Details': 'string',
'AutoScalingGroupState': 'string',
'AutoScalingGroupARN': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
Activities (list) --
The scaling activities. Activities are sorted by start time. Activities still in progress are described first.
(dict) --
Describes scaling activity, which is a long-running process that represents a change to your Auto Scaling group, such as changing its size or replacing an instance.
ActivityId (string) --
The ID of the activity.
AutoScalingGroupName (string) --
The name of the Auto Scaling group.
Description (string) --
A friendly, more verbose description of the activity.
Cause (string) --
The reason the activity began.
StartTime (datetime) --
The start time of the activity.
EndTime (datetime) --
The end time of the activity.
StatusCode (string) --
The current status of the activity.
StatusMessage (string) --
A friendly, more verbose description of the activity status.
Progress (integer) --
A value between 0 and 100 that indicates the progress of the activity.
Details (string) --
The details about the activity.
AutoScalingGroupState (string) --
The state of the Auto Scaling group, which is either InService or Deleted.
AutoScalingGroupARN (string) --
The Amazon Resource Name (ARN) of the Auto Scaling group.
NextToken (string) --
A string that indicates that the response contains more items than can be returned in a single response. To receive additional items, specify this string for the NextToken value when requesting the next set of items. This value is null when there are no more items to return.
{'IncludeManagedResources': 'boolean'}
Gets information about the scheduled actions that haven't run or that have not reached their end time.
To describe the scaling activities for scheduled actions that have already run, call the DescribeScalingActivities API.
See also: AWS API Documentation
Request Syntax
client.describe_scheduled_actions(
AutoScalingGroupName='string',
ScheduledActionNames=[
'string',
],
StartTime=datetime(2015, 1, 1),
EndTime=datetime(2015, 1, 1),
IncludeManagedResources=True|False,
NextToken='string',
MaxRecords=123
)
string
The name of the Auto Scaling group.
list
The names of one or more scheduled actions. If you omit this property, all scheduled actions are described. If you specify an unknown scheduled action, it is ignored with no error.
Array Members: Maximum number of 50 actions.
(string) --
datetime
The earliest scheduled start time to return. If scheduled action names are provided, this property is ignored.
datetime
The latest scheduled start time to return. If scheduled action names are provided, this property is ignored.
boolean
Specifies whether to include scheduled actions for managed Auto Scaling groups in the response. When set to true (default), the response includes scheduled actions for managed Auto Scaling groups.
string
The token for the next set of items to return. (You received this token from a previous call.)
integer
The maximum number of items to return with this call. The default value is 50 and the maximum value is 100.
A response can contain fewer items than the value specified by MaxRecords, even when more items are available. To retrieve the additional items, use the NextToken value in a subsequent call rather than relying on the number of items in the response.
dict
Response Syntax
{
'ScheduledUpdateGroupActions': [
{
'AutoScalingGroupName': 'string',
'ScheduledActionName': 'string',
'ScheduledActionARN': 'string',
'Time': datetime(2015, 1, 1),
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1),
'Recurrence': 'string',
'MinSize': 123,
'MaxSize': 123,
'DesiredCapacity': 123,
'TimeZone': 'string'
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
ScheduledUpdateGroupActions (list) --
The scheduled actions.
(dict) --
Describes a scheduled scaling action.
AutoScalingGroupName (string) --
The name of the Auto Scaling group.
ScheduledActionName (string) --
The name of the scheduled action.
ScheduledActionARN (string) --
The Amazon Resource Name (ARN) of the scheduled action.
Time (datetime) --
This property is no longer used.
StartTime (datetime) --
The date and time in UTC for this action to start. For example, "2019-06-01T00:00:00Z".
EndTime (datetime) --
The date and time in UTC for the recurring schedule to end. For example, "2019-06-01T00:00:00Z".
Recurrence (string) --
The recurring schedule for the action, in Unix cron syntax format.
When StartTime and EndTime are specified with Recurrence, they form the boundaries of when the recurring action starts and stops.
MinSize (integer) --
The minimum size of the Auto Scaling group.
MaxSize (integer) --
The maximum size of the Auto Scaling group.
DesiredCapacity (integer) --
The desired capacity is the initial capacity of the Auto Scaling group after the scheduled action runs and the capacity it attempts to maintain.
TimeZone (string) --
The time zone for the cron expression.
NextToken (string) --
A string that indicates that the response contains more items than can be returned in a single response. To receive additional items, specify this string for the NextToken value when requesting the next set of items. This value is null when there are no more items to return.
{'IncludeManagedResources': 'boolean'}
Describes the specified tags.
You can use filters to limit the results. For example, you can query for the tags for a specific Auto Scaling group. You can specify multiple values for a filter. A tag must match at least one of the specified values for it to be included in the results.
You can also specify multiple filters. The result includes information for a particular tag only if it matches all the filters. If there's no match, no special message is returned.
For more information, see Tag Auto Scaling groups and instances in the Amazon EC2 Auto Scaling User Guide.
See also: AWS API Documentation
Request Syntax
client.describe_tags(
Filters=[
{
'Name': 'string',
'Values': [
'string',
]
},
],
IncludeManagedResources=True|False,
NextToken='string',
MaxRecords=123
)
list
One or more filters to scope the tags to return. The maximum number of filters per filter type (for example, auto-scaling-group) is 1000.
(dict) --
Describes a filter that is used to return a more specific list of results from a describe operation.
If you specify multiple filters, the filters are automatically logically joined with an AND, and the request returns only the results that match all of the specified filters.
For more information, see Tag Auto Scaling groups and instances in the Amazon EC2 Auto Scaling User Guide.
Name (string) --
The name of the filter.
The valid values for Name depend on which API operation you're using with the filter.
Valid values for Name include the following:
tag-key - Accepts tag keys. The results only include information about the Auto Scaling groups associated with these tag keys.
tag-value - Accepts tag values. The results only include information about the Auto Scaling groups associated with these tag values.
tag:<key> - Accepts the key/value combination of the tag. Use the tag key in the filter name and the tag value as the filter value. The results only include information about the Auto Scaling groups associated with the specified key/value combination.
Valid values for Name include the following:
auto-scaling-group - Accepts the names of Auto Scaling groups. The results only include information about the tags associated with these Auto Scaling groups.
key - Accepts tag keys. The results only include information about the tags associated with these tag keys.
value - Accepts tag values. The results only include information about the tags associated with these tag values.
propagate-at-launch - Accepts a Boolean value, which specifies whether tags propagate to instances at launch. The results only include information about the tags associated with the specified Boolean value.
Valid values for Name include the following:
StartTimeLowerBound - The earliest scaling activities to return based on the activity start time. Scaling activities with a start time earlier than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
StartTimeUpperBound - The latest scaling activities to return based on the activity start time. Scaling activities with a start time later than this value are not included in the results. Only activities started within the last six weeks can be returned regardless of the value specified.
Status - The StatusCode value of the scaling activity. This filter can only be used in combination with the AutoScalingGroupName parameter. For valid StatusCode values, see Activity in the Amazon EC2 Auto Scaling API Reference.
StartTimeLowerBound and StartTimeUpperBound accept ISO 8601 formatted timestamps. Timestamps without a timezone offset are assumed to be UTC.
2000-01-18T08:15:00Z
2000-01-18T16:15:00+08:00
Values (list) --
One or more filter values. Filter values are case-sensitive.
If you specify multiple values for a filter, the values are automatically logically joined with an OR, and the request returns all results that match any of the specified values.
DescribeAutoScalingGroups example: Specify "tag:environment" for the filter name and "production,development" for the filter values to find Auto Scaling groups with the tag "environment=production" or "environment=development".
DescribeScalingActivities example: Specify "Status" for the filter name and "Successful,Failed" for the filter values to find scaling activities with a status of either "Successful" or "Failed".
(string) --
boolean
Specifies whether to include tags for managed Auto Scaling groups in the response. When set to true (default), the response includes tags for managed Auto Scaling groups.
string
The token for the next set of items to return. (You received this token from a previous call.)
integer
The maximum number of items to return with this call. The default value is 50 and the maximum value is 100.
A response can contain fewer items than the value specified by MaxRecords, even when more items are available. To retrieve the additional items, use the NextToken value in a subsequent call rather than relying on the number of items in the response.
dict
Response Syntax
{
'Tags': [
{
'ResourceId': 'string',
'ResourceType': 'string',
'Key': 'string',
'Value': 'string',
'PropagateAtLaunch': True|False
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
Tags (list) --
One or more tags.
(dict) --
Describes a tag for an Auto Scaling group.
ResourceId (string) --
The name of the group.
ResourceType (string) --
The type of resource. The only supported value is auto-scaling-group.
Key (string) --
The tag key.
Value (string) --
The tag value.
PropagateAtLaunch (boolean) --
Determines whether the tag is added to new instances as they are launched in the group.
NextToken (string) --
A string that indicates that the response contains more items than can be returned in a single response. To receive additional items, specify this string for the NextToken value when requesting the next set of items. This value is null when there are no more items to return.