Quickstart: Deploy a function to Cloud Run using the Google Cloud console

This page shows you how to use Cloud Run to deploy an HTTP function using the Google Cloud console.

Before you begin

  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  3. Make sure that billing is enabled for your Google Cloud project.

  4. Enable the Artifact Registry, Cloud Build, Cloud Run Admin API, and Cloud Logging APIs.

    Enable the APIs

  5. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  6. Make sure that billing is enabled for your Google Cloud project.

  7. Enable the Artifact Registry, Cloud Build, Cloud Run Admin API, and Cloud Logging APIs.

    Enable the APIs

  8. If you are under a domain restriction organization policy restricting unauthenticated invocations for your project, you will need to access your deployed service as described under Testing private services.

  9. For Cloud Build to be able to build your sources, grant the Cloud Build Service Account role to the Compute Engine default service account by running the following:

    gcloud projects add-iam-policy-binding PROJECT_ID \
        --member=serviceAccount:PROJECT_NUMBER-compute@developer.gserviceaccount.com \
        --role=roles/cloudbuild.builds.builder
    

    Replace PROJECT_NUMBER with your Google Cloud project number, and PROJECT_ID with your Google Cloud project ID. For detailed instructions on how to find your project ID, and project number, see Creating and managing projects.

    Granting the Cloud Build Service Account role to the Compute Engine default service account takes a couple of minutes to propagate.

Deploy the function

Important: This quickstart assumes that you have owner or editor roles in the project you are using for the quickstart. Otherwise, refer to the Cloud Run Source Developer role for the required permissions for deploying a Cloud Run resource from source.

To deploy a function, follow these steps:

  1. In the Google Cloud console, go to the Cloud Run page:

    Go to Cloud Run

  2. Click Write a function.

  3. In the Service name field, enter a service name to describe your function, such as my-nodejs-http-function. Service names must only begin with a letter, and contain up to 49 characters or less, including letters, numbers, or hyphens. Service names can't end with hyphens, and must be unique per region and project. A service name cannot be changed later and is publicly visible.

  4. In the Region list, use the default value us-central1, or select the region where you want to deploy your function.

  5. In the Runtime list, use the default value, or select a runtime version.

  6. In the Authentication section, select Allow unauthenticated invocations. If you don't have permissions (Cloud Run Admin role) to select this, the service will deploy and require authentication.

  7. Click Create, and wait for Cloud Run to create the service using a placeholder revision.

  8. The console will redirect you to the Source tab where you can see the source code of your function. Click Save and redeploy.

  9. In the Source tab, you can optionally click Show Payload to see the incoming request object.

  10. After deployment, the container's URL is displayed next to the text URL:. To view the output of the function, click Copy to clipboard to copy its URL, and paste the URL into your browser's address bar.

To learn how to add Eventarc triggers to your function, see the Deploy a function guide for instructions.

Cloud Run locations

Cloud Run is regional, which means the infrastructure that runs your Cloud Run services is located in a specific region and is managed by Google to be redundantly available across all the zones within that region.

Meeting your latency, availability, or durability requirements are primary factors for selecting the region where your Cloud Run services are run. You can generally select the region nearest to your users but you should consider the location of the other Google Cloud products that are used by your Cloud Run service. Using Google Cloud products together across multiple locations can affect your service's latency as well as cost.

Cloud Run is available in the following regions:

Subject to Tier 1 pricing

  • asia-east1 (Taiwan)
  • asia-northeast1 (Tokyo)
  • asia-northeast2 (Osaka)
  • europe-north1 (Finland) leaf icon Low CO2
  • europe-southwest1 (Madrid) leaf icon Low CO2
  • europe-west1 (Belgium) leaf icon Low CO2
  • europe-west4 (Netherlands) leaf icon Low CO2
  • europe-west8 (Milan)
  • europe-west9 (Paris) leaf icon Low CO2
  • me-west1 (Tel Aviv)
  • us-central1 (Iowa) leaf icon Low CO2
  • us-east1 (South Carolina)
  • us-east4 (Northern Virginia)
  • us-east5 (Columbus)
  • us-south1 (Dallas) leaf icon Low CO2
  • us-west1 (Oregon) leaf icon Low CO2

Subject to Tier 2 pricing

  • africa-south1 (Johannesburg)
  • asia-east2 (Hong Kong)
  • asia-northeast3 (Seoul, South Korea)
  • asia-southeast1 (Singapore)
  • asia-southeast2 (Jakarta)
  • asia-south1 (Mumbai, India)
  • asia-south2 (Delhi, India)
  • australia-southeast1 (Sydney)
  • australia-southeast2 (Melbourne)
  • europe-central2 (Warsaw, Poland)
  • europe-west10 (Berlin) leaf icon Low CO2
  • europe-west12 (Turin)
  • europe-west2 (London, UK) leaf icon Low CO2
  • europe-west3 (Frankfurt, Germany) leaf icon Low CO2
  • europe-west6 (Zurich, Switzerland) leaf icon Low CO2
  • me-central1 (Doha)
  • me-central2 (Dammam)
  • northamerica-northeast1 (Montreal) leaf icon Low CO2
  • northamerica-northeast2 (Toronto) leaf icon Low CO2
  • southamerica-east1 (Sao Paulo, Brazil) leaf icon Low CO2
  • southamerica-west1 (Santiago, Chile) leaf icon Low CO2
  • us-west2 (Los Angeles)
  • us-west3 (Salt Lake City)
  • us-west4 (Las Vegas)

If you already created a Cloud Run service, you can view the region in the Cloud Run dashboard in the Google Cloud console.

Clean up

While Cloud Run does not charge when the service is not in use, you might still be charged for storing the container image in Artifact Registry. You can delete your container image or delete your Google Cloud project to avoid incurring charges. Deleting your Google Cloud project stops billing for all the resources used within that project.

  1. In the Google Cloud console, go to the Manage resources page.

    Go to Manage resources

  2. In the project list, select the project that you want to delete, and then click Delete.
  3. In the dialog, type the project ID, and then click Shut down to delete the project.

What's next