230 lines
7.4 KiB
HCL
230 lines
7.4 KiB
HCL
/**
|
|
* Copyright 2022 Google LLC
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
|
|
# tfdoc:file:description Autoscaler resource.
|
|
|
|
locals {
|
|
as_enabled = true
|
|
as_scaling = try(var.autoscaler_config.scaling_control, null)
|
|
as_signals = try(var.autoscaler_config.scaling_signals, null)
|
|
}
|
|
|
|
resource "google_compute_autoscaler" "default" {
|
|
provider = google-beta
|
|
count = local.is_regional || var.autoscaler_config == null ? 0 : 1
|
|
project = var.project_id
|
|
name = var.name
|
|
zone = var.location
|
|
description = var.description
|
|
target = google_compute_instance_group_manager.default.0.id
|
|
|
|
autoscaling_policy {
|
|
max_replicas = var.autoscaler_config.max_replicas
|
|
min_replicas = var.autoscaler_config.min_replicas
|
|
cooldown_period = var.autoscaler_config.cooldown_period
|
|
|
|
dynamic "scale_down_control" {
|
|
for_each = local.as_scaling.down == null ? [] : [""]
|
|
content {
|
|
time_window_sec = local.as_scaling.down.time_window_sec
|
|
dynamic "max_scaled_down_replicas" {
|
|
for_each = (
|
|
local.as_scaling.down.max_replicas_fixed == null &&
|
|
local.as_scaling.down.max_replicas_percent == null
|
|
? []
|
|
: [""]
|
|
)
|
|
content {
|
|
fixed = local.as_scaling.down.max_replicas_fixed
|
|
percent = local.as_scaling.down.max_replicas_percent
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
dynamic "scale_in_control" {
|
|
for_each = local.as_scaling.in == null ? [] : [""]
|
|
content {
|
|
time_window_sec = local.as_scaling.in.time_window_sec
|
|
dynamic "max_scaled_in_replicas" {
|
|
for_each = (
|
|
local.as_scaling.in.max_replicas_fixed == null &&
|
|
local.as_scaling.in.max_replicas_percent == null
|
|
? []
|
|
: [""]
|
|
)
|
|
content {
|
|
fixed = local.as_scaling.in.max_replicas_fixed
|
|
percent = local.as_scaling.in.max_replicas_percent
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
dynamic "cpu_utilization" {
|
|
for_each = local.as_signals.cpu_utilization == null ? [] : [""]
|
|
content {
|
|
target = local.as_signals.cpu_utilization.target
|
|
predictive_method = (
|
|
local.as_signals.cpu_utilization.optimize_availability == true
|
|
? "OPTIMIZE_AVAILABILITY"
|
|
: null
|
|
)
|
|
}
|
|
}
|
|
|
|
dynamic "load_balancing_utilization" {
|
|
for_each = local.as_signals.load_balancing_utilization == null ? [] : [""]
|
|
content {
|
|
target = local.as_signals.load_balancing_utilization.target
|
|
}
|
|
}
|
|
|
|
dynamic "metric" {
|
|
for_each = toset(
|
|
local.as_signals.metrics == null ? [] : local.as_signals.metrics
|
|
)
|
|
content {
|
|
name = metric.value.name
|
|
type = metric.value.type
|
|
target = metric.value.target_value
|
|
single_instance_assignment = metric.value.single_instance_assignment
|
|
filter = metric.value.time_series_filter
|
|
}
|
|
}
|
|
|
|
dynamic "scaling_schedules" {
|
|
for_each = toset(
|
|
local.as_signals.schedules == null ? [] : local.as_signals.schedules
|
|
)
|
|
iterator = schedule
|
|
content {
|
|
duration_sec = schedule.value.duration_sec
|
|
min_required_replicas = schedule.value.min_required_replicas
|
|
name = schedule.value.name
|
|
schedule = schedule.value.cron_schedule
|
|
description = schedule.value.description
|
|
disabled = schedule.value.disabled
|
|
time_zone = schedule.value.timezone
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|
|
|
|
resource "google_compute_region_autoscaler" "default" {
|
|
provider = google-beta
|
|
count = local.is_regional && var.autoscaler_config != null ? 1 : 0
|
|
project = var.project_id
|
|
name = var.name
|
|
region = var.location
|
|
description = var.description
|
|
target = google_compute_region_instance_group_manager.default.0.id
|
|
|
|
autoscaling_policy {
|
|
max_replicas = var.autoscaler_config.max_replicas
|
|
min_replicas = var.autoscaler_config.min_replicas
|
|
cooldown_period = var.autoscaler_config.cooldown_period
|
|
|
|
dynamic "scale_down_control" {
|
|
for_each = local.as_scaling.down == null ? [] : [""]
|
|
content {
|
|
time_window_sec = local.as_scaling.down.time_window_sec
|
|
dynamic "max_scaled_down_replicas" {
|
|
for_each = (
|
|
local.as_scaling.down.max_replicas_fixed == null &&
|
|
local.as_scaling.down.max_replicas_percent == null
|
|
? []
|
|
: [""]
|
|
)
|
|
content {
|
|
fixed = local.as_scaling.down.max_replicas_fixed
|
|
percent = local.as_scaling.down.max_replicas_percent
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
dynamic "scale_in_control" {
|
|
for_each = local.as_scaling.in == null ? [] : [""]
|
|
content {
|
|
time_window_sec = local.as_scaling.in.time_window_sec
|
|
dynamic "max_scaled_in_replicas" {
|
|
for_each = (
|
|
local.as_scaling.in.max_replicas_fixed == null &&
|
|
local.as_scaling.in.max_replicas_percent == null
|
|
? []
|
|
: [""]
|
|
)
|
|
content {
|
|
fixed = local.as_scaling.in.max_replicas_fixed
|
|
percent = local.as_scaling.in.max_replicas_percent
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
dynamic "cpu_utilization" {
|
|
for_each = local.as_signals.cpu_utilization == null ? [] : [""]
|
|
content {
|
|
target = local.as_signals.cpu_utilization.target
|
|
predictive_method = (
|
|
local.as_signals.cpu_utilization.optimize_availability == true
|
|
? "OPTIMIZE_AVAILABILITY"
|
|
: null
|
|
)
|
|
}
|
|
}
|
|
|
|
dynamic "load_balancing_utilization" {
|
|
for_each = local.as_signals.load_balancing_utilization == null ? [] : [""]
|
|
content {
|
|
target = local.as_signals.load_balancing_utilization.target
|
|
}
|
|
}
|
|
|
|
dynamic "metric" {
|
|
for_each = toset(
|
|
local.as_signals.metrics == null ? [] : local.as_signals.metrics
|
|
)
|
|
content {
|
|
name = metric.value.name
|
|
type = metric.value.type
|
|
target = metric.value.target_value
|
|
single_instance_assignment = metric.value.single_instance_assignment
|
|
filter = metric.value.time_series_filter
|
|
}
|
|
}
|
|
|
|
dynamic "scaling_schedules" {
|
|
for_each = toset(
|
|
local.as_signals.schedules == null ? [] : local.as_signals.schedules
|
|
)
|
|
iterator = schedule
|
|
content {
|
|
duration_sec = schedule.value.duration_sec
|
|
min_required_replicas = schedule.value.min_required_replicas
|
|
name = schedule.value.name
|
|
schedule = schedule.cron_schedule
|
|
description = schedule.value.description
|
|
disabled = schedule.value.disabled
|
|
time_zone = schedule.value.timezone
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|