AutoScaling#
Client#
- class AutoScaling.Client#
A low-level client representing 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.
import boto3 client = boto3.client('autoscaling')
These are the available methods:
- attach_instances
- attach_load_balancer_target_groups
- attach_load_balancers
- attach_traffic_sources
- batch_delete_scheduled_action
- batch_put_scheduled_update_group_action
- can_paginate
- cancel_instance_refresh
- close
- complete_lifecycle_action
- create_auto_scaling_group
- create_launch_configuration
- create_or_update_tags
- delete_auto_scaling_group
- delete_launch_configuration
- delete_lifecycle_hook
- delete_notification_configuration
- delete_policy
- delete_scheduled_action
- delete_tags
- delete_warm_pool
- describe_account_limits
- describe_adjustment_types
- describe_auto_scaling_groups
- describe_auto_scaling_instances
- describe_auto_scaling_notification_types
- describe_instance_refreshes
- describe_launch_configurations
- describe_lifecycle_hook_types
- describe_lifecycle_hooks
- describe_load_balancer_target_groups
- describe_load_balancers
- describe_metric_collection_types
- describe_notification_configurations
- describe_policies
- describe_scaling_activities
- describe_scaling_process_types
- describe_scheduled_actions
- describe_tags
- describe_termination_policy_types
- describe_traffic_sources
- describe_warm_pool
- detach_instances
- detach_load_balancer_target_groups
- detach_load_balancers
- detach_traffic_sources
- disable_metrics_collection
- enable_metrics_collection
- enter_standby
- execute_policy
- exit_standby
- get_paginator
- get_predictive_scaling_forecast
- get_waiter
- put_lifecycle_hook
- put_notification_configuration
- put_scaling_policy
- put_scheduled_update_group_action
- put_warm_pool
- record_lifecycle_action_heartbeat
- resume_processes
- rollback_instance_refresh
- set_desired_capacity
- set_instance_health
- set_instance_protection
- start_instance_refresh
- suspend_processes
- terminate_instance_in_auto_scaling_group
- update_auto_scaling_group
Paginators#
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are: