modules/project/alerts.tf (275 lines of code) (raw):
/**
* Copyright 2025 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.
*/
locals {
_alerts_factory_data_raw = merge([
for k in local.observability_factory_data_raw :
lookup(k, "alerts", {})
]...)
_alerts_factory_data = {
for k, v in local._alerts_factory_data_raw :
k => {
combiner = v.combiner
display_name = try(v.display_name, null)
enabled = try(v.enabled, null)
notification_channels = try(v.notification_channels, [])
severity = try(v.severity, null)
user_labels = try(v.user_labels, null)
alert_strategy = !can(v.alert_strategy) ? null : {
auto_close = try(v.alert_strategy.auto_close, null)
notification_prompts = try(v.alert_strategy.notification_prompts, null)
notification_rate_limit = !can(v.alert_strategy.notification_rate_limit) ? null : {
period = try(v.alert_strategy.notification_rate_limit.period, null)
}
notification_channel_strategy = !can(v.alert_strategy.notification_channel_strategy) ? null : {
notification_channel_names = try(v.alert_strategy.notification_channel_strategy.notification_channel_names, null)
renotify_interval = try(v.alert_strategy.notification_channel_strategy.renotify_interval, null)
}
}
conditions = !can(v.conditions) ? null : [
for c in v.conditions : {
display_name = c.display_name
condition_absent = !can(c.condition_absent) ? null : {
duration = c.condition_absent.duration
filter = try(c.condition_absent.filter, null)
aggregations = !can(c.condition_absent.aggregations) ? null : {
per_series_aligner = try(c.condition_absent.aggregations.per_series_aligner, null)
group_by_fields = try(c.condition_absent.aggregations.group_by_fields, null)
cross_series_reducer = try(c.condition_absent.aggregations.cross_series_reducer, null)
alignment_period = try(c.condition_absent.aggregations.alignment_period, null)
}
trigger = !can(c.condition_absent.trigger) ? null : {
count = try(c.condition_absent.trigger.count, null)
percent = try(c.condition_absent.trigger.percent, null)
}
}
condition_matched_log = !can(c.condition_matched_log) ? null : {
filter = c.condition_matched_log.filter
label_extractors = try(c.condition_matched_log.label_extractors, null)
}
condition_monitoring_query_language = !can(c.condition_monitoring_query_language) ? null : {
duration = c.condition_monitoring_query_language.duration
query = c.condition_monitoring_query_language.query
evaluation_missing_data = try(c.condition_monitoring_query_language.evaluation_missing_data, null)
trigger = !can(c.condition_monitoring_query_language.trigger) ? null : {
count = try(c.condition_monitoring_query_language.trigger.count, null)
percent = try(c.condition_monitoring_query_language.trigger.percent, null)
}
}
condition_prometheus_query_language = !can(c.condition_prometheus_query_language) ? null : {
query = c.condition_prometheus_query_language.query
alert_rule = try(c.condition_prometheus_query_language.alert_rule, null)
disable_metric_validation = try(c.condition_prometheus_query_language.disable_metric_validation, null)
duration = try(c.condition_prometheus_query_language.duration, null)
evaluation_interval = try(c.condition_prometheus_query_language.evaluation_interval, null)
labels = try(c.condition_prometheus_query_language.labels, null)
rule_group = try(c.condition_prometheus_query_language.rule_group, null)
}
condition_threshold = !can(c.condition_threshold) ? null : {
comparison = c.condition_threshold.comparison
duration = c.condition_threshold.duration
denominator_filter = try(c.condition_threshold.denominator_filter, null)
evaluation_missing_data = try(c.condition_threshold.evaluation_missing_data, null)
filter = try(c.condition_threshold.filter, null)
threshold_value = try(c.condition_threshold.threshold_value, null)
aggregations = !can(c.condition_threshold.aggregations) ? null : {
per_series_aligner = try(c.condition_threshold.aggregations.per_series_aligner, null)
group_by_fields = try(c.condition_threshold.aggregations.group_by_fields, null)
cross_series_reducer = try(c.condition_threshold.aggregations.cross_series_reducer, null)
alignment_period = try(c.condition_threshold.aggregations.alignment_period, null)
}
denominator_aggregations = !can(c.condition_threshold.denominator_aggregations) ? null : {
per_series_aligner = try(c.condition_threshold.denominator_aggregations.per_series_aligner, null)
group_by_fields = try(c.condition_threshold.denominator_aggregations.group_by_fields, null)
cross_series_reducer = try(c.condition_threshold.denominator_aggregations.cross_series_reducer, null)
alignment_period = try(c.condition_threshold.denominator_aggregations.alignment_period, null)
}
forecast_options = !can(c.condition_threshold.forecast_options) ? null : {
forecast_horizon = c.condition_threshold.forecast_options.forecast_horizon
}
trigger = !can(c.condition_threshold.trigger) ? null : {
count = try(c.condition_threshold.trigger.count, null)
percent = try(c.condition_threshold.trigger.percent, null)
}
}
}
]
documentation = !can(v.documentation) ? null : {
content = try(v.documentation.content, null)
mime_type = try(v.documentation.mime_type, null)
subject = try(v.documentation.subject, null)
links = !can(v.documentation.links) ? null : [
for l in v.documentation.link : {
display_name = try(l.display_name, null)
url = try(l.url, null)
}]
}
}
}
alerts = merge(local._alerts_factory_data, var.alerts)
}
resource "google_monitoring_alert_policy" "alerts" {
for_each = local.alerts
project = local.project.project_id
combiner = each.value.combiner
display_name = each.value.display_name
enabled = each.value.enabled
notification_channels = [
for x in each.value.notification_channels :
try(
# first try to get a channel created by this module
google_monitoring_notification_channel.channels[x].name,
# otherwise check the context
var.factories_config.context.notification_channels[x],
# if nothing else, use the provided channel as is
x
)
]
severity = each.value.severity
user_labels = each.value.user_labels
dynamic "alert_strategy" {
for_each = each.value.alert_strategy[*]
content {
auto_close = alert_strategy.value.auto_close
notification_prompts = alert_strategy.value.notification_prompts
dynamic "notification_channel_strategy" {
for_each = alert_strategy.value.notification_channel_strategy[*]
content {
notification_channel_names = notification_channel_strategy.value.notification_channel_names
renotify_interval = notification_channel_strategy.value.renotify_interval
}
}
dynamic "notification_rate_limit" {
for_each = alert_strategy.value.notification_rate_limit[*]
content {
period = notification_rate_limit.value.period
}
}
}
}
dynamic "conditions" {
for_each = each.value.conditions
content {
display_name = conditions.value.display_name
dynamic "condition_absent" {
for_each = conditions.value.condition_absent[*]
content {
duration = condition_absent.value.duration
filter = condition_absent.value.filter
dynamic "aggregations" {
for_each = condition_absent.value.aggregations[*]
content {
alignment_period = aggregations.value.alignment_period
cross_series_reducer = aggregations.value.cross_series_reducer
group_by_fields = aggregations.value.group_by_fields
per_series_aligner = aggregations.value.per_series_aligner
}
}
dynamic "trigger" {
for_each = condition_absent.value.trigger[*]
content {
count = trigger.value.count
percent = trigger.value.percent
}
}
}
}
dynamic "condition_matched_log" {
for_each = conditions.value.condition_matched_log[*]
content {
filter = condition_matched_log.value.filter
label_extractors = condition_matched_log.value.label_extractors
}
}
dynamic "condition_monitoring_query_language" {
for_each = conditions.value.condition_monitoring_query_language[*]
content {
duration = condition_monitoring_query_language.value.duration
query = condition_monitoring_query_language.value.query
evaluation_missing_data = condition_monitoring_query_language.value.evaluation_missing_data
trigger {
count = condition_monitoring_query_language.value.trigger.count
percent = condition_monitoring_query_language.value.trigger.percent
}
}
}
dynamic "condition_prometheus_query_language" {
for_each = conditions.value.condition_prometheus_query_language[*]
content {
query = condition_prometheus_query_language.value.query
disable_metric_validation = condition_prometheus_query_language.value.disable_metric_validation
duration = condition_prometheus_query_language.value.duration
evaluation_interval = condition_prometheus_query_language.value.evaluation_interval
labels = condition_prometheus_query_language.value.labels
rule_group = condition_prometheus_query_language.value.rule_group
alert_rule = condition_prometheus_query_language.value.alert_rule
}
}
dynamic "condition_threshold" {
for_each = conditions.value.condition_threshold[*]
content {
comparison = condition_threshold.value.comparison
duration = condition_threshold.value.duration
denominator_filter = condition_threshold.value.denominator_filter
evaluation_missing_data = condition_threshold.value.evaluation_missing_data
filter = condition_threshold.value.filter
threshold_value = condition_threshold.value.threshold_value
dynamic "aggregations" {
for_each = condition_threshold.value.aggregations[*]
content {
alignment_period = aggregations.value.alignment_period
cross_series_reducer = aggregations.value.cross_series_reducer
group_by_fields = aggregations.value.group_by_fields
per_series_aligner = aggregations.value.per_series_aligner
}
}
dynamic "denominator_aggregations" {
for_each = condition_threshold.value.denominator_aggregations[*]
content {
alignment_period = denominator_aggregations.value.alignment_period
group_by_fields = denominator_aggregations.value.group_by_fields
per_series_aligner = denominator_aggregations.value.per_series_aligner
}
}
dynamic "forecast_options" {
for_each = condition_threshold.value.forecast_options[*]
content {
forecast_horizon = forecast_options.value.forecast_horizon
}
}
dynamic "trigger" {
for_each = condition_threshold.value.trigger[*]
content {
count = trigger.value.count
percent = trigger.value.percent
}
}
}
}
}
}
dynamic "documentation" {
for_each = each.value.documentation[*]
content {
content = documentation.value.content
mime_type = documentation.value.mime_type
subject = documentation.value.subject
dynamic "links" {
for_each = documentation.value.links[*]
content {
display_name = links.value.display_name
url = links.value.url
}
}
}
}
}