alicloud_sae_application_scaling_rules

This data source provides the Sae Application Scaling Rules of the current Alibaba Cloud user.

-> NOTE: Available in v1.159.0+.

Example Usage

Basic Usage

data "alicloud_sae_application_scaling_rules" "ids" {
  app_id = "example_value"
  ids    = ["example_value-1", "example_value-2"]
}
output "sae_application_scaling_rule_id_1" {
  value = data.alicloud_sae_application_scaling_rules.ids.rules.0.id
}

Argument Reference

The following arguments are supported:

• ids - (Optional, ForceNew, Computed) A list of Application Scaling Rule IDs.
• app_id - (Required) The ID of the Application.
• output_file - (Optional) File name where to save data source results (after running terraform plan).

Argument Reference

The following attributes are exported in addition to the arguments listed above:

• rules - A list of Sae Application Scaling Rules. Each element contains the following attributes:
  • app_id - The ID of the Application.
  • create_time - The CreateTime of the Application Scaling Rule.
  • id - The ID of the Application Scaling Rule.
  • scaling_rule_enable - Whether to enable the auto scaling policy.
  • scaling_rule_metric - Monitoring indicators for elastic scaling.
    • max_replicas - The maximum number of instances.
    • metrics - The auto scaling list of monitoring indicators.
      • metric_target_average_utilization - The target value of the monitoring indicator.
      • metric_type - The metric type of the Application Scaling Rule.
    • min_replicas - The minimum number of instances.
    • metrics_status - Monitor indicator elasticity status.
      • desired_replicas - The number of target instances.
      • next_scale_time_period - The next cycle of monitoring indicator elasticity.
      • current_replicas - The number of current instances.
      • last_scale_time - The time of the last elastic expansion.
      • max_replicas - The maximum number of instances.
      • min_replicas - The minimum number of instances.
      • current_metrics - The current monitoring indicator elasticity list.
        • type - The metric type. Associated with monitoring indicators.
        • current_value - The current value.
        • name - The name of the trigger condition.
      • next_scale_metrics - Next monitoring indicator elasticity list
        • next_scale_out_average_utilization - The percentage value of the monitoring indicator elasticity that triggers the expansion condition next time.
        • next_scale_in_average_utilization - The percentage value of the monitoring indicator elasticity that triggers the shrinkage condition next time.
        • name - The name of the trigger condition.
    • scale_down_rules - The shrink rule.
      • disabled - Whether shrinkage is prohibited.
      • stabilization_window_seconds - Shrinkage cooling time.
      • step - Elastic shrinkage step. The maximum number of instances per unit time.
    • scale_up_rules - The expansion rules.
      • step - Flexible expansion step. The maximum number of instances per unit time.
      • disabled - Whether shrinkage is prohibited. The values are described as follows:
      • stabilization_window_seconds - Expansion cooling time.
  • scaling_rule_name - The name of the scaling rule.
  • scaling_rule_timer - Timing elastic expansion.
    • begin_date - The short-term start date of the timed elastic scaling strategy.
    • end_date - The short-term end date of the timed elastic scaling strategy.
    • period - The period in which a timed elastic scaling strategy is executed.
    • schedules - Trigger point in time within a single day.
      • at_time - Time point. Format: hours:minutes.
      • target_replicas - The number of target instances.
      • max_replicas - The maximum number of instances.
      • min_replicas - The minimum number of instances.
  • scaling_rule_type - Flexible strategy type.