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GCP
Terraform GCP resources
Here is the default output of terraform plan:
data.http.myip: Reading...
data.http.myip: Read complete after 0s [id=http://ipv4.icanhazip.com]
Terraform used the selected providers to generate the following execution plan. Resource actions are indicated with the following symbols:
+ create
Terraform will perform the following actions:
# google_cloud_run_service.run_service will be created
+ resource "google_cloud_run_service" "run_service" {
+ autogenerate_revision_name = true
+ id = (known after apply)
+ location = "us-west2"
+ name = "mage-data-prep"
+ project = (known after apply)
+ status = (known after apply)
+ metadata {
+ annotations = {
+ "run.googleapis.com/ingress" = "internal-and-cloud-load-balancing"
+ "run.googleapis.com/launch-stage" = "BETA"
}
+ generation = (known after apply)
+ labels = (known after apply)
+ namespace = (known after apply)
+ resource_version = (known after apply)
+ self_link = (known after apply)
+ uid = (known after apply)
}
+ template {
+ metadata {
+ annotations = (known after apply)
+ generation = (known after apply)
+ name = (known after apply)
+ namespace = (known after apply)
+ resource_version = (known after apply)
+ self_link = (known after apply)
+ uid = (known after apply)
}
+ spec {
+ container_concurrency = (known after apply)
+ service_account_name = (known after apply)
+ serving_state = (known after apply)
+ timeout_seconds = (known after apply)
+ containers {
+ image = "region-docker.pkg.dev/project_id/repository_name/mageai"
+ env {
+ name = "FILESTORE_IP_ADDRESS"
+ value = (known after apply)
}
+ env {
+ name = "FILE_SHARE_NAME"
+ value = "share1"
}
+ ports {
+ container_port = 6789
+ name = (known after apply)
}
+ resources {
+ limits = {
+ "cpu" = "2000m"
+ "memory" = "1G"
}
}
}
}
}
+ traffic {
+ latest_revision = true
+ percent = 100
+ url = (known after apply)
}
}
# google_cloud_run_service_iam_member.run_all_users will be created
+ resource "google_cloud_run_service_iam_member" "run_all_users" {
+ etag = (known after apply)
+ id = (known after apply)
+ location = "us-west2"
+ member = "allUsers"
+ project = (known after apply)
+ role = "roles/run.invoker"
+ service = "mage-data-prep"
}
# google_compute_backend_service.backend will be created
+ resource "google_compute_backend_service" "backend" {
+ connection_draining_timeout_sec = 300
+ creation_timestamp = (known after apply)
+ fingerprint = (known after apply)
+ id = (known after apply)
+ load_balancing_scheme = "EXTERNAL"
+ name = "mage-data-prep-backend"
+ port_name = "http"
+ project = (known after apply)
+ protocol = "HTTP"
+ security_policy = "mage-data-prep-security-policy"
+ self_link = (known after apply)
+ session_affinity = (known after apply)
+ timeout_sec = 30
+ backend {
+ balancing_mode = "UTILIZATION"
+ capacity_scaler = 1
+ group = (known after apply)
+ max_connections = (known after apply)
+ max_connections_per_endpoint = (known after apply)
+ max_connections_per_instance = (known after apply)
+ max_rate = (known after apply)
+ max_rate_per_endpoint = (known after apply)
+ max_rate_per_instance = (known after apply)
+ max_utilization = (known after apply)
}
+ cdn_policy {
+ cache_mode = (known after apply)
+ client_ttl = (known after apply)
+ default_ttl = (known after apply)
+ max_ttl = (known after apply)
+ negative_caching = (known after apply)
+ serve_while_stale = (known after apply)
+ signed_url_cache_max_age_sec = (known after apply)
+ cache_key_policy {
+ include_host = (known after apply)
+ include_named_cookies = (known after apply)
+ include_protocol = (known after apply)
+ include_query_string = (known after apply)
+ query_string_blacklist = (known after apply)
+ query_string_whitelist = (known after apply)
}
+ negative_caching_policy {
+ code = (known after apply)
+ ttl = (known after apply)
}
}
+ log_config {
+ enable = (known after apply)
+ sample_rate = (known after apply)
}
}
# google_compute_global_address.ip will be created
+ resource "google_compute_global_address" "ip" {
+ address = (known after apply)
+ creation_timestamp = (known after apply)
+ id = (known after apply)
+ name = "mage-data-prep-service-ip"
+ project = (known after apply)
+ self_link = (known after apply)
}
# google_compute_global_forwarding_rule.frontend will be created
+ resource "google_compute_global_forwarding_rule" "frontend" {
+ id = (known after apply)
+ ip_address = (known after apply)
+ ip_protocol = (known after apply)
+ label_fingerprint = (known after apply)
+ load_balancing_scheme = "EXTERNAL"
+ name = "mage-data-prep-frontend"
+ network = (known after apply)
+ port_range = "80"
+ project = (known after apply)
+ psc_connection_id = (known after apply)
+ psc_connection_status = (known after apply)
+ self_link = (known after apply)
+ target = (known after apply)
}
# google_compute_region_network_endpoint_group.cloudrun_neg will be created
+ resource "google_compute_region_network_endpoint_group" "cloudrun_neg" {
+ id = (known after apply)
+ name = "mage-data-prep-neg"
+ network_endpoint_type = "SERVERLESS"
+ project = (known after apply)
+ region = "us-west2"
+ self_link = (known after apply)
+ cloud_run {
+ service = "mage-data-prep"
}
}
# google_compute_security_policy.policy will be created
+ resource "google_compute_security_policy" "policy" {
+ fingerprint = (known after apply)
+ id = (known after apply)
+ name = "mage-data-prep-security-policy"
+ project = (known after apply)
+ self_link = (known after apply)
+ type = (known after apply)
+ advanced_options_config {
+ json_parsing = (known after apply)
+ log_level = (known after apply)
+ json_custom_config {
+ content_types = (known after apply)
}
}
+ rule {
+ action = "allow"
+ description = "Whitelist IP"
+ preview = (known after apply)
+ priority = 100
+ match {
+ versioned_expr = "SRC_IPS_V1"
+ config {
+ src_ip_ranges = [
+ "11.111.11.111/32",
]
}
}
}
+ rule {
+ action = "deny(403)"
+ description = "default rule"
+ preview = (known after apply)
+ priority = 2147483647
+ match {
+ versioned_expr = "SRC_IPS_V1"
+ config {
+ src_ip_ranges = [
+ "*",
]
}
}
}
}
# google_compute_target_http_proxy.http_proxy will be created
+ resource "google_compute_target_http_proxy" "http_proxy" {
+ creation_timestamp = (known after apply)
+ id = (known after apply)
+ name = "mage-data-prep-http-proxy"
+ project = (known after apply)
+ proxy_bind = (known after apply)
+ proxy_id = (known after apply)
+ self_link = (known after apply)
+ url_map = (known after apply)
}
# google_compute_url_map.url_map will be created
+ resource "google_compute_url_map" "url_map" {
+ creation_timestamp = (known after apply)
+ default_service = (known after apply)
+ fingerprint = (known after apply)
+ id = (known after apply)
+ map_id = (known after apply)
+ name = "mage-data-prep-urlmap"
+ project = (known after apply)
+ self_link = (known after apply)
}
# google_filestore_instance.instance will be created
+ resource "google_filestore_instance" "instance" {
+ create_time = (known after apply)
+ etag = (known after apply)
+ id = (known after apply)
+ location = "us-west2-a"
+ name = "mage-data-prep"
+ project = (known after apply)
+ tier = "BASIC_HDD"
+ zone = (known after apply)
+ file_shares {
+ capacity_gb = 1024
+ name = "share1"
}
+ networks {
+ connect_mode = "DIRECT_PEERING"
+ ip_addresses = (known after apply)
+ modes = [
+ "MODE_IPV4",
]
+ network = "default"
+ reserved_ip_range = (known after apply)
}
}
# google_project_service.artifactregistry will be created
+ resource "google_project_service" "artifactregistry" {
+ disable_on_destroy = false
+ id = (known after apply)
+ project = (known after apply)
+ service = "artifactregistry.googleapis.com"
}
# google_project_service.cloudrun will be created
+ resource "google_project_service" "cloudrun" {
+ disable_on_destroy = false
+ id = (known after apply)
+ project = (known after apply)
+ service = "run.googleapis.com"
}
# google_project_service.iam will be created
+ resource "google_project_service" "iam" {
+ disable_on_destroy = false
+ id = (known after apply)
+ project = (known after apply)
+ service = "iam.googleapis.com"
}
# google_project_service.resourcemanager will be created
+ resource "google_project_service" "resourcemanager" {
+ disable_on_destroy = false
+ id = (known after apply)
+ project = (known after apply)
+ service = "cloudresourcemanager.googleapis.com"
}
# google_project_service.vpcaccess will be created
+ resource "google_project_service" "vpcaccess" {
+ disable_on_destroy = false
+ id = (known after apply)
+ project = (known after apply)
+ service = "vpcaccess.googleapis.com"
}
# google_vpc_access_connector.connector will be created
+ resource "google_vpc_access_connector" "connector" {
+ id = (known after apply)
+ ip_cidr_range = "10.8.0.0/28"
+ max_throughput = 300
+ min_throughput = 200
+ name = "mage-data-prep-connector"
+ network = "default"
+ project = (known after apply)
+ region = "us-west2"
+ self_link = (known after apply)
+ state = (known after apply)
}
Plan: 16 to add, 0 to change, 0 to destroy.
Changes to Outputs:
+ service_ip = (known after apply)
─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Note: You didn't use the -out option to save this plan, so Terraform can't guarantee to take exactly these actions if you run "terraform apply" now.
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