feat: Add support for predictive autoscaling policies

examples/complete/main.tf

@@ -61,6 +61,52 @@ module "ecs" {
       cpu    = 1024
       memory = 4096
 
+      autoscaling_policies = {
+        predictive = {
+          policy_type = "PredictiveScaling"
+          predictive_scaling_policy_configuration = {
+            mode = "ForecastOnly"
+            metric_specification = {
+              target_value = 60
+              # predefined_scaling_metric_specification = {
+              #   predefined_metric_type = "ECSServiceAverageMemoryUtilization"
+              # }
+              # predefined_metric_pair_specification = {
+              #   predefined_metric_type = "ECSServiceMemoryUtilization"
+              # }
+              predefined_load_metric_specification = {
+                predefined_metric_type = "ECSServiceTotalCPUUtilization"
+              }
+              customized_scaling_metric_specification = {
+                metric_data_query = [
+                  {
+                    id = "memory_util"
+                    metric_stat = {
+                      stat = "Average"
+                      metric = {
+                        metric_name = "CPUUtilization"
+                        namespace   = "AWS/ECS"
+                        dimension = [
+                          {
+                            name  = "ServiceName"
+                            value = "ecsdemo-frontend"
+                          },
+                          {
+                            name  = "ClusterName"
+                            value = "ex-complete"
+                          }
+                        ]
+                      }
+                    }
+                    return_data = true
+                  }
+                ]
+              }
+            }
+          }
+        }
+      }
+
       # Container definition(s)
       container_definitions = {
 

modules/service/README.md

@@ -233,7 +233,7 @@ module "ecs_service" {
 | <a name="input_assign_public_ip"></a> [assign\_public\_ip](#input\_assign\_public\_ip) | Assign a public IP address to the ENI (Fargate launch type only) | `bool` | `false` | no |
 | <a name="input_autoscaling_max_capacity"></a> [autoscaling\_max\_capacity](#input\_autoscaling\_max\_capacity) | Maximum number of tasks to run in your service | `number` | `10` | no |
 | <a name="input_autoscaling_min_capacity"></a> [autoscaling\_min\_capacity](#input\_autoscaling\_min\_capacity) | Minimum number of tasks to run in your service | `number` | `1` | no |
-| <a name="input_autoscaling_policies"></a> [autoscaling\_policies](#input\_autoscaling\_policies) | Map of autoscaling policies to create for the service | <pre>map(object({<br/>    name        = optional(string) # Will fall back to the key name if not provided<br/>    policy_type = optional(string, "TargetTrackingScaling")<br/>    step_scaling_policy_configuration = optional(object({<br/>      adjustment_type          = optional(string)<br/>      cooldown                 = optional(number)<br/>      metric_aggregation_type  = optional(string)<br/>      min_adjustment_magnitude = optional(number)<br/>      step_adjustment = optional(list(object({<br/>        metric_interval_lower_bound = optional(string)<br/>        metric_interval_upper_bound = optional(string)<br/>        scaling_adjustment          = number<br/>      })))<br/>    }))<br/>    target_tracking_scaling_policy_configuration = optional(object({<br/>      customized_metric_specification = optional(object({<br/>        dimensions = optional(list(object({<br/>          name  = string<br/>          value = string<br/>        })))<br/>        metric_name = optional(string)<br/>        metrics = optional(list(object({<br/>          expression = optional(string)<br/>          id         = string<br/>          label      = optional(string)<br/>          metric_stat = optional(object({<br/>            metric = object({<br/>              dimensions = optional(list(object({<br/>                name  = string<br/>                value = string<br/>              })))<br/>              metric_name = string<br/>              namespace   = string<br/>            })<br/>            stat = string<br/>            unit = optional(string)<br/>          }))<br/>          return_data = optional(bool)<br/>        })))<br/>        namespace = optional(string)<br/>        statistic = optional(string)<br/>        unit      = optional(string)<br/>      }))<br/>      disable_scale_in = optional(bool)<br/>      predefined_metric_specification = optional(object({<br/>        predefined_metric_type = string<br/>        resource_label         = optional(string)<br/>      }))<br/>      scale_in_cooldown  = optional(number, 300)<br/>      scale_out_cooldown = optional(number, 60)<br/>      target_value       = optional(number, 75)<br/>    }))<br/>  }))</pre> | <pre>{<br/>  "cpu": {<br/>    "policy_type": "TargetTrackingScaling",<br/>    "target_tracking_scaling_policy_configuration": {<br/>      "predefined_metric_specification": {<br/>        "predefined_metric_type": "ECSServiceAverageCPUUtilization"<br/>      }<br/>    }<br/>  },<br/>  "memory": {<br/>    "policy_type": "TargetTrackingScaling",<br/>    "target_tracking_scaling_policy_configuration": {<br/>      "predefined_metric_specification": {<br/>        "predefined_metric_type": "ECSServiceAverageMemoryUtilization"<br/>      }<br/>    }<br/>  }<br/>}</pre> | no |
+| <a name="input_autoscaling_policies"></a> [autoscaling\_policies](#input\_autoscaling\_policies) | Map of autoscaling policies to create for the service | <pre>map(object({<br/>    name        = optional(string) # Will fall back to the key name if not provided<br/>    policy_type = optional(string, "TargetTrackingScaling")<br/>    step_scaling_policy_configuration = optional(object({<br/>      adjustment_type          = optional(string)<br/>      cooldown                 = optional(number)<br/>      metric_aggregation_type  = optional(string)<br/>      min_adjustment_magnitude = optional(number)<br/>      step_adjustment = optional(list(object({<br/>        metric_interval_lower_bound = optional(string)<br/>        metric_interval_upper_bound = optional(string)<br/>        scaling_adjustment          = number<br/>      })))<br/>    }))<br/>    target_tracking_scaling_policy_configuration = optional(object({<br/>      customized_metric_specification = optional(object({<br/>        dimensions = optional(list(object({<br/>          name  = string<br/>          value = string<br/>        })))<br/>        metric_name = optional(string)<br/>        metrics = optional(list(object({<br/>          expression = optional(string)<br/>          id         = string<br/>          label      = optional(string)<br/>          metric_stat = optional(object({<br/>            metric = object({<br/>              dimensions = optional(list(object({<br/>                name  = string<br/>                value = string<br/>              })))<br/>              metric_name = string<br/>              namespace   = string<br/>            })<br/>            stat = string<br/>            unit = optional(string)<br/>          }))<br/>          return_data = optional(bool)<br/>        })))<br/>        namespace = optional(string)<br/>        statistic = optional(string)<br/>        unit      = optional(string)<br/>      }))<br/>      disable_scale_in = optional(bool)<br/>      predefined_metric_specification = optional(object({<br/>        predefined_metric_type = string<br/>        resource_label         = optional(string)<br/>      }))<br/>      scale_in_cooldown  = optional(number, 300)<br/>      scale_out_cooldown = optional(number, 60)<br/>      target_value       = optional(number, 75)<br/>    }))<br/>    predictive_scaling_policy_configuration = optional(object({<br/>      mode                         = optional(string, "ForecastAndScale")<br/>      max_capacity_buffer          = optional(number)<br/>      max_capacity_breach_behavior = optional(string)<br/>      scheduling_buffer_time       = optional(number)<br/>      metric_specification = object({<br/>        target_value = number<br/>        predefined_scaling_metric_specification = optional(object({<br/>          predefined_metric_type = string<br/>          resource_label         = optional(string)<br/>        }))<br/>        predefined_load_metric_specification = optional(object({<br/>          predefined_metric_type = string<br/>          resource_label         = optional(string)<br/>        }))<br/>        predefined_metric_pair_specification = optional(object({<br/>          predefined_metric_type = string<br/>          resource_label         = optional(string)<br/>        }))<br/>        customized_load_metric_specification = optional(object({<br/>          metric_data_query = list(object({<br/>            expression = optional(string)<br/>            id         = string<br/>            label      = optional(string)<br/>            metric_stat = optional(object({<br/>              metric = object({<br/>                dimension = optional(list(object({<br/>                  name  = string<br/>                  value = string<br/>                })))<br/>                metric_name = string<br/>                namespace   = string<br/>              })<br/>              stat = string<br/>              unit = optional(string)<br/>            }))<br/>            return_data = optional(bool)<br/>          }))<br/>        }))<br/>        customized_scaling_metric_specification = optional(object({<br/>          metric_data_query = list(object({<br/>            expression = optional(string)<br/>            id         = string<br/>            label      = optional(string)<br/>            metric_stat = optional(object({<br/>              metric = object({<br/>                dimension = optional(list(object({<br/>                  name  = string<br/>                  value = string<br/>                })))<br/>                metric_name = string<br/>                namespace   = string<br/>              })<br/>              stat = string<br/>              unit = optional(string)<br/>            }))<br/>            return_data = optional(bool)<br/>          }))<br/>        }))<br/>        customized_capacity_metric_specification = optional(object({<br/>          metric_data_query = list(object({<br/>            expression = optional(string)<br/>            id         = string<br/>            label      = optional(string)<br/>            metric_stat = optional(object({<br/>              metric = object({<br/>                dimension = optional(list(object({<br/>                  name  = string<br/>                  value = string<br/>                })))<br/>                metric_name = string<br/>                namespace   = string<br/>              })<br/>              stat = string<br/>              unit = optional(string)<br/>            }))<br/>            return_data = optional(bool)<br/>          }))<br/>        }))<br/>      })<br/>    }))<br/>  }))</pre> | <pre>{<br/>  "cpu": {<br/>    "policy_type": "TargetTrackingScaling",<br/>    "target_tracking_scaling_policy_configuration": {<br/>      "predefined_metric_specification": {<br/>        "predefined_metric_type": "ECSServiceAverageCPUUtilization"<br/>      }<br/>    }<br/>  },<br/>  "memory": {<br/>    "policy_type": "TargetTrackingScaling",<br/>    "target_tracking_scaling_policy_configuration": {<br/>      "predefined_metric_specification": {<br/>        "predefined_metric_type": "ECSServiceAverageMemoryUtilization"<br/>      }<br/>    }<br/>  }<br/>}</pre> | no |
 | <a name="input_autoscaling_scheduled_actions"></a> [autoscaling\_scheduled\_actions](#input\_autoscaling\_scheduled\_actions) | Map of autoscaling scheduled actions to create for the service | <pre>map(object({<br/>    name         = optional(string)<br/>    min_capacity = number<br/>    max_capacity = number<br/>    schedule     = string<br/>    start_time   = optional(string)<br/>    end_time     = optional(string)<br/>    timezone     = optional(string)<br/>  }))</pre> | `null` | no |
 | <a name="input_availability_zone_rebalancing"></a> [availability\_zone\_rebalancing](#input\_availability\_zone\_rebalancing) | ECS automatically redistributes tasks within a service across Availability Zones (AZs) to mitigate the risk of impaired application availability due to underlying infrastructure failures and task lifecycle activities. The valid values are `ENABLED` and `DISABLED`. Defaults to `DISABLED` | `string` | `null` | no |
 | <a name="input_capacity_provider_strategy"></a> [capacity\_provider\_strategy](#input\_capacity\_provider\_strategy) | Capacity provider strategies to use for the service. Can be one or more | <pre>map(object({<br/>    base              = optional(number)<br/>    capacity_provider = string<br/>    weight            = optional(number)<br/>  }))</pre> | `null` | no |