autoscaling: Auto Scaling

In paws.management: 'Amazon Web Services' Management & Governance Services

Auto Scaling

Description

Amazon EC2 Auto Scaling

Amazon EC2 Auto Scaling is designed to automatically launch and terminate EC2 instances based on user-defined scaling policies, scheduled actions, and health checks.

For more information, see the Amazon EC2 Auto Scaling User Guide and the Amazon EC2 Auto Scaling API Reference.

Usage

autoscaling(config = list())

Arguments

config

Optional configuration of credentials, endpoint, and/or region. access_key_id: AWS access key ID secret_access_key: AWS secret access key session_token: AWS temporary session token profile: The name of a profile to use. If not given, then the default profile is used. anonymous: Set anonymous credentials. endpoint: The complete URL to use for the constructed client. region: The AWS Region used in instantiating the client. close_connection: Immediately close all HTTP connections. timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds. s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e., http://s3.amazonaws.com/BUCKET/KEY.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- autoscaling(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical"
  )
)

Operations

attach_instances	Attaches one or more EC2 instances to the specified Auto Scaling group
attach_load_balancers	To attach an Application Load Balancer, Network Load Balancer, or Gateway Load Balancer, use the AttachLoadBalancerTargetGroups API operation instead
attach_load_balancer_target_groups	Attaches one or more target groups to the specified Auto Scaling group
batch_delete_scheduled_action	Deletes one or more scheduled actions for the specified Auto Scaling group
batch_put_scheduled_update_group_action	Creates or updates one or more scheduled scaling actions for an Auto Scaling group
cancel_instance_refresh	Cancels an instance refresh operation in progress
complete_lifecycle_action	Completes the lifecycle action for the specified token or instance with the specified result
create_auto_scaling_group	We strongly recommend using a launch template when calling this operation to ensure full functionality for Amazon EC2 Auto Scaling and Amazon EC2
create_launch_configuration	Creates a launch configuration
create_or_update_tags	Creates or updates tags for the specified Auto Scaling group
delete_auto_scaling_group	Deletes the specified Auto Scaling group
delete_launch_configuration	Deletes the specified launch configuration
delete_lifecycle_hook	Deletes the specified lifecycle hook
delete_notification_configuration	Deletes the specified notification
delete_policy	Deletes the specified scaling policy
delete_scheduled_action	Deletes the specified scheduled action
delete_tags	Deletes the specified tags
delete_warm_pool	Deletes the warm pool for the specified Auto Scaling group
describe_account_limits	Describes the current Amazon EC2 Auto Scaling resource quotas for your account
describe_adjustment_types	Describes the available adjustment types for step scaling and simple scaling policies
describe_auto_scaling_groups	Gets information about the Auto Scaling groups in the account and Region
describe_auto_scaling_instances	Gets information about the Auto Scaling instances in the account and Region
describe_auto_scaling_notification_types	Describes the notification types that are supported by Amazon EC2 Auto Scaling
describe_instance_refreshes	Gets information about the instance refreshes for the specified Auto Scaling group
describe_launch_configurations	Gets information about the launch configurations in the account and Region
describe_lifecycle_hooks	Gets information about the lifecycle hooks for the specified Auto Scaling group
describe_lifecycle_hook_types	Describes the available types of lifecycle hooks
describe_load_balancers	Gets information about the load balancers for the specified Auto Scaling group
describe_load_balancer_target_groups	Gets information about the Elastic Load Balancing target groups for the specified Auto Scaling group
describe_metric_collection_types	Describes the available CloudWatch metrics for Amazon EC2 Auto Scaling
describe_notification_configurations	Gets information about the Amazon SNS notifications that are configured for one or more Auto Scaling groups
describe_policies	Gets information about the scaling policies in the account and Region
describe_scaling_activities	Gets information about the scaling activities in the account and Region
describe_scaling_process_types	Describes the scaling process types for use with the ResumeProcesses and SuspendProcesses APIs
describe_scheduled_actions	Gets information about the scheduled actions that haven't run or that have not reached their end time
describe_tags	Describes the specified tags
describe_termination_policy_types	Describes the termination policies supported by Amazon EC2 Auto Scaling
describe_warm_pool	Gets information about a warm pool and its instances
detach_instances	Removes one or more instances from the specified Auto Scaling group
detach_load_balancers	Detaches one or more Classic Load Balancers from the specified Auto Scaling group
detach_load_balancer_target_groups	Detaches one or more target groups from the specified Auto Scaling group
disable_metrics_collection	Disables group metrics collection for the specified Auto Scaling group
enable_metrics_collection	Enables group metrics collection for the specified Auto Scaling group
enter_standby	Moves the specified instances into the standby state
execute_policy	Executes the specified policy
exit_standby	Moves the specified instances out of the standby state
get_predictive_scaling_forecast	Retrieves the forecast data for a predictive scaling policy
put_lifecycle_hook	Creates or updates a lifecycle hook for the specified Auto Scaling group
put_notification_configuration	Configures an Auto Scaling group to send notifications when specified events take place
put_scaling_policy	Creates or updates a scaling policy for an Auto Scaling group
put_scheduled_update_group_action	Creates or updates a scheduled scaling action for an Auto Scaling group
put_warm_pool	Creates or updates a warm pool for the specified Auto Scaling group
record_lifecycle_action_heartbeat	Records a heartbeat for the lifecycle action associated with the specified token or instance
resume_processes	Resumes the specified suspended auto scaling processes, or all suspended process, for the specified Auto Scaling group
set_desired_capacity	Sets the size of the specified Auto Scaling group
set_instance_health	Sets the health status of the specified instance
set_instance_protection	Updates the instance protection settings of the specified instances
start_instance_refresh	Starts a new instance refresh operation
suspend_processes	Suspends the specified auto scaling processes, or all processes, for the specified Auto Scaling group
terminate_instance_in_auto_scaling_group	Terminates the specified instance and optionally adjusts the desired group size
update_auto_scaling_group	We strongly recommend that all Auto Scaling groups use launch templates to ensure full functionality for Amazon EC2 Auto Scaling and Amazon EC2

Examples

## Not run: 
svc <- autoscaling()
# This example attaches the specified instance to the specified Auto
# Scaling group.
svc$attach_instances(
  AutoScalingGroupName = "my-auto-scaling-group",
  InstanceIds = list(
    "i-93633f9b"
  )
)

## End(Not run)

paws.management documentation built on Feb. 16, 2023, 6:59 p.m.