integrations: - integration_type: custom-domains resource_type: router singleton_name: custom-domains required_field: domains visible: true service_type: ingress label: Custom Domains product: Cloud Load Balancer description: Configure custom domains for Cloud Run services with Google Cloud Load Balancer. example_command: |- Create the integration to add the first domain mapping: $ gcloud {track} run integrations create --type=custom-domains --parameters='set-mapping=example.com/*:[SERVICE]' Update the integration to add subsequent mappings: $ gcloud {track} run integrations update custom-domains --parameters='set-mapping=anotherexample.com/*:[SERVICE]' example_yaml: | apiVersion: runapps.googleapis.com/v1alpha1 resources: - id: router/custom-domains subresources: - id: domain/example-com config: domain: example.com bindings: - target: service/[SERVICE] config: paths: ["/*"] parameters: - name: set-mapping description: 'Set a route mapping from a path to a service. Format: set-mapping=[DOMAIN]/[PATH]:[SERVICE]' required: true data_type: domain-path-service - name: remove-mapping description: 'Remove a route mapping. Format: remove-mapping=[DOMAIN]/[PATH]' data_type: domain-path create_allowed: false - name: remove-domain description: To remove a domain an all of its route mappings. data_type: domain create_allowed: false update_exclusive_groups: - params: - set-mapping - remove-mapping - remove-domain disable_service_flags: true required_apis: - compute.googleapis.com - integration_type: redis resource_type: redis label: 'Redis' product: Cloud Memorystore description: Configure a Redis instance (Cloud Memorystore) and connect it to a Cloud Run Service. example_command: |- $ gcloud {track} run integrations create --service=[SERVICE] --type=redis --parameters=memory-size-gb=2 example_yaml: | apiVersion: runapps.googleapis.com/v1alpha1 resources: - id: redis/redis-1 config: memorySizeGb: 2 - id: service/[SERVICE] bindings: - target: redis/redis-1 service_type: backing visible: true eta_in_min: 10 cta: >- To connect to the Redis instance utilize the environment variables REDISHOST and REDISPORT. These have been added to the Cloud Run service for you. parameters: - name: memory-size-gb config_name: memorySizeGb label: Capacity (GB) description: Memory capacity of the Redis instance. data_type: int default: 1 - name: tier label: Service Tier description: > The service tier of the instance. Supported options include BASIC for standalone instance and STANDARD_HA for highly available primary/replica instances. data_type: string hidden: true - name: version label: Version description: > The version of Redis software. If not provided, latest supported version will be used. Supported values include: REDIS_6_X, REDIS_5_0, REDIS_4_0 and REDIS_3_2. data_type: string update_allowed: false hidden: true required_apis: - redis.googleapis.com - vpcaccess.googleapis.com - integration_type: firestore resource_type: firestore label: 'Firestore' product: Firestore description: Configure a Firestore database and connect it to a Cloud Run Service. example_command: |- $ gcloud {track} run integrations create --service=[SERVICE] --type=firestore service_type: backing visible: true eta_in_min: 5 cta: >- To connect to the Firestore Database utilize the environment variables FIRESTORE_DB_NAME. These have been added to the Cloud Run service for you. parameters: [] required_apis: - firestore.googleapis.com - integration_type: cloudsql resource_type: cloudsql label: Cloud SQL product: Cloud SQL description: Configure a CloudSQL database instance and connect it to a Cloud Run Service. example_command: |- $ gcloud {track} run integrations create --service=[SERVICE] --type=cloudsql --parameters=version=MYSQL_8_0 example_yaml: | apiVersion: runapps.googleapis.com/v1alpha1 resources: - id: cloudsql/cloudsql-1 config: version: POSTGRES_11 - id: service/[SERVICE] bindings: - target: cloudsql/cloudsql-1 service_type: backing visible: false eta_in_min: 15 cta: >- To connect to the CloudSQL instance utilize the environment variables DB_NAME, INSTANCE_HOST, DB_USER, and DB_PASS. These have been added to the Cloud Run service for you. parameters: - name: version label: Database Version description: >- The version of CloudSQL software. For example: MYSQL_8_0, POSTGRES_14, or SQLSERVER_2019_STANDARD. See https://cloud.google.com/sql/docs/mysql/admin-api/rest/v1beta4/SqlDatabaseVersion for more details. data_type: string update_allowed: false required: true required_apis: - sqladmin.googleapis.com - cloudresourcemanager.googleapis.com - secretmanager.googleapis.com - integration_type: firebase-hosting resource_type: firebase-hosting label: Firebase Hosting product: Firebase Hosting description: Configure custom domains for Cloud Run services with Firebase Hosting. example_command: |- $ gcloud {track} run integrations create --service=[SERVICE] --type=firebase-hosting --parameters=site-id=examplesite example_yaml: | apiVersion: runapps.googleapis.com/v1alpha1 resources: - id: firebase-hosting/firebase-hosting-1 config: siteId: examplesite bindings: - target: service/cowsay service_type: ingress visible: true eta_in_min: 5 cta: |- To configure free custom domain mappings for this site, visit the Firebase console at https://console.firebase.google.com/project/%%project%%/hosting/sites/%%config.siteId%% To make this site publicly available, make sure the Cloud Run service has ingress configured to allow 'All' traffic. Learn more at https://cloud.google.com/run/docs/securing/ingress parameters: - name: site-id config_name: siteId label: Subdomain (Site ID) description: 'The name of the Firebase Hosting site, which is the sub-domain of the default firebase domains created.' data_type: string update_allowed: true required: true required_apis: - firebasehosting.googleapis.com - integration_type: service resource_type: service label: Cloud Run Service product: Cloud Run Service description: Configure a Cloud Run service. example_command: "" example_yaml: | apiVersion: runapps.googleapis.com/v1alpha1 resources: - id: service/myapp config: containers: - image: us-docker.pkg.dev/cloudrun/container/hello service_type: workload visible: true eta_in_min: 5 parameters: - name: image label: Container Image description: 'The container image to use to deploy the Cloud Run service.' data_type: string update_allowed: true required: false required_apis: - run.googleapis.com - integration_type: job resource_type: job label: Cloud Run Job product: Cloud Run Job description: Configure a Cloud Run job. example_command: "" example_yaml: | apiVersion: runapps.googleapis.com/v1alpha1 resources: - id: job/myjob config: containers: - image: us-docker.pkg.dev/cloudrun/container/job service_type: workload visible: false eta_in_min: 5 parameters: - name: image label: Container Image description: 'The container image to use to deploy the Cloud Run job.' data_type: string update_allowed: true required: false required_apis: - run.googleapis.com - integration_type: vertex-genai resource_type: vertex-genai label: Vertex AI - Generative AI product: Vertex AI - Generative AI description: Configure access to Gemini, PaLM, Codey and more of Google's large generative models from your Cloud Run workloads example_command: |- $ gcloud {track} run integrations create --service=[SERVICE] --type=vertex-genai example_yaml: | apiVersion: runapps.googleapis.com/v1alpha1 resources: - id: vertex-genai/gemini service_type: backing visible: true eta_in_min: 5 cta: |- The Vertex AI User (roles/aiplatform.user) IAM role has been added to the service acount of your service. You can explore how to use Vertex Generative AI in your application code here: https://cloud.google.com/vertex-ai/docs/generative-ai/start/quickstarts/quickstart-multimodal You can also use the Generative AI Studio to explore: https://console.cloud.google.com/vertex-ai/generative parameters: [] required_apis: - aiplatform.googleapis.com