Using Cloud Function Fabric Terraform module
This commit is contained in:
Aurélien Legrand
Julio Castillo
parent
dfc7c355b8
commit
c0981c0fdd
|
|
@ -80,57 +80,62 @@ module "service-account-function" {
|
|||
# Cloud Function configuration (& Scheduler) #
|
||||
################################################
|
||||
|
||||
# Create an app engine application (required for Cloud Scheduler)
|
||||
resource "google_app_engine_application" "scheduler_app" {
|
||||
project = module.project-monitoring.project_id
|
||||
# "europe-west1" is called "europe-west" and "us-central1" is "us-central" for App Engine, see https://cloud.google.com/appengine/docs/locations
|
||||
location_id = var.region == "europe-west1" || var.region == "us-central1" ? substr(var.region, 0, length(var.region) - 1) : var.region
|
||||
module "pubsub" {
|
||||
source = "github.com/GoogleCloudPlatform/cloud-foundation-fabric//modules/pubsub?ref=v14.0.0"
|
||||
project_id = module.project-monitoring.project_id
|
||||
name = "network-dashboard-pubsub"
|
||||
subscriptions = {
|
||||
"network-dashboard-pubsub-default" = null
|
||||
}
|
||||
# the Cloud Scheduler robot service account already has pubsub.topics.publish
|
||||
# at the project level via roles/cloudscheduler.serviceAgent
|
||||
}
|
||||
|
||||
# Create a storage bucket for the Cloud Function's code
|
||||
resource "google_storage_bucket" "bucket" {
|
||||
name = "net-quotas-bucket"
|
||||
location = "EU"
|
||||
project = module.project-monitoring.project_id
|
||||
resource "google_cloud_scheduler_job" "job" {
|
||||
project = module.project-monitoring.project_id
|
||||
region = var.region
|
||||
name = "network-dashboard-scheduler"
|
||||
schedule = var.schedule_cron
|
||||
time_zone = "UTC"
|
||||
|
||||
pubsub_target {
|
||||
topic_name = module.pubsub.topic.id
|
||||
data = base64encode("test")
|
||||
}
|
||||
}
|
||||
|
||||
data "archive_file" "file" {
|
||||
type = "zip"
|
||||
source_dir = "cloud-function"
|
||||
output_path = "cloud-function.zip"
|
||||
depends_on = [google_storage_bucket.bucket]
|
||||
# Random ID to re-deploy the Cloud Function with every Terraform run
|
||||
resource "random_pet" "random" {
|
||||
length = 1
|
||||
}
|
||||
|
||||
resource "google_storage_bucket_object" "archive" {
|
||||
# md5 hash in the bucket object name to redeploy the Cloud Function when the code is modified
|
||||
name = format("cloud-function#%s", data.archive_file.file.output_md5)
|
||||
bucket = google_storage_bucket.bucket.name
|
||||
source = "cloud-function.zip"
|
||||
depends_on = [data.archive_file.file]
|
||||
}
|
||||
module "cloud-function" {
|
||||
source = "github.com/GoogleCloudPlatform/cloud-foundation-fabric//modules/cloud-function?ref=v14.0.0"
|
||||
project_id = module.project-monitoring.project_id
|
||||
name = "network-dashboard-cloud-function"
|
||||
bucket_name = "network-dashboard-bucket-${random_pet.random.id}"
|
||||
bucket_config = {
|
||||
location = var.region
|
||||
lifecycle_delete_age = null
|
||||
}
|
||||
|
||||
resource "google_cloudfunctions_function" "function_quotas" {
|
||||
name = "function-quotas"
|
||||
project = module.project-monitoring.project_id
|
||||
region = var.region
|
||||
description = "Function which creates metric to show number, limit and utlizitation."
|
||||
runtime = "python39"
|
||||
|
||||
available_memory_mb = 512
|
||||
source_archive_bucket = google_storage_bucket.bucket.name
|
||||
source_archive_object = google_storage_bucket_object.archive.name
|
||||
service_account_email = module.service-account-function.email
|
||||
|
||||
timeout = 180
|
||||
entry_point = "quotas"
|
||||
trigger_http = true
|
||||
bundle_config = {
|
||||
source_dir = "cloud-function"
|
||||
output_path = "cloud-function.zip"
|
||||
excludes = null
|
||||
}
|
||||
|
||||
function_config = {
|
||||
timeout = 180
|
||||
entry_point = "main"
|
||||
runtime = "python39"
|
||||
instances = 1
|
||||
memory = 256
|
||||
}
|
||||
|
||||
environment_variables = {
|
||||
monitored_projects_list = local.projects
|
||||
monitoring_project_id = module.project-monitoring.project_id
|
||||
|
||||
LIMIT_SUBNETS = local.limit_subnets
|
||||
LIMIT_INSTANCES = local.limit_instances
|
||||
LIMIT_INSTANCES_PPG = local.limit_instances_ppg
|
||||
|
|
@ -140,24 +145,13 @@ resource "google_cloudfunctions_function" "function_quotas" {
|
|||
LIMIT_L4_PPG = local.limit_l4_ppg
|
||||
LIMIT_L7_PPG = local.limit_l7_ppg
|
||||
}
|
||||
}
|
||||
|
||||
resource "google_cloud_scheduler_job" "job" {
|
||||
name = "scheduler-net-dash"
|
||||
project = module.project-monitoring.project_id
|
||||
region = var.region
|
||||
description = "Cloud Scheduler job to trigger the Networking Dashboard Cloud Function"
|
||||
schedule = var.schedule_cron
|
||||
service_account = module.service-account-function.email
|
||||
|
||||
retry_config {
|
||||
retry_count = 1
|
||||
}
|
||||
|
||||
http_target {
|
||||
http_method = "POST"
|
||||
uri = google_cloudfunctions_function.function_quotas.https_trigger_url
|
||||
# We could pass useful data in the body later
|
||||
body = base64encode("{\"foo\":\"bar\"}")
|
||||
trigger_config = {
|
||||
event = "google.pubsub.topic.publish"
|
||||
resource = module.pubsub.topic.id
|
||||
retry = null
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -167,7 +161,7 @@ resource "google_cloud_scheduler_job" "job" {
|
|||
resource "google_cloudfunctions_function_iam_member" "invoker" {
|
||||
project = module.project-monitoring.project_id
|
||||
region = var.region
|
||||
cloud_function = google_cloudfunctions_function.function_quotas.name
|
||||
cloud_function = module.cloud-function.function_name
|
||||
|
||||
role = "roles/cloudfunctions.invoker"
|
||||
member = "allUsers"
|
||||
|
|
@ -180,4 +174,4 @@ resource "google_cloudfunctions_function_iam_member" "invoker" {
|
|||
resource "google_monitoring_dashboard" "dashboard" {
|
||||
dashboard_json = file("${path.module}/dashboards/quotas-utilization.json")
|
||||
project = module.project-monitoring.project_id
|
||||
}
|
||||
}
|
||||
Loading…
Reference in New Issue