This repository contains sample applications used in Cloud Run documentation.

hooks: (optional) Run commands in separate bash shells with the environment variables configured for the application and environment variables GOOGLE_CLOUD_PROJECT (Google Cloud project), GOOGLE_CLOUD_REGION (selected Google Cloud Region), K_SERVICE (Cloud Run service name), IMAGE_URL (container image URL), APP_DIR (application directory).

In this codelab, you'll configure Cloud Run to automatically build and deploy new versions of your application whenever you push your source code changes to a GitHub repository.

A GitHub Action for deploying services to Google Cloud Run. - google-github-actions/deploy-cloudrun

Run the Cloud Run MCP server itself on Cloud Run with connection from your local machine authenticated via IAM. With this option, you will only be able to deploy code to the same Google Cloud project as where the MCP server is running.

Cloud-init is a cross-platform cloud instance initialization standard that is widely supported. In this directory you will find a cloud-init scripts that can be used to configure a cloud instance with a running emulator.

Build and deploy the Cloud Run code using gcloud (using the commands in the provided deploy.sh script) Note the base URL of the deployment in the output. It will have a domain of "run.app". Edit android/app/src/main/res/values/strings.xml and copy the base URL into the cloud_run_root string resource.

September 28, 2023 - Use reusable deployment workflows, along with GitHub environments to manage the release process. Third party tools can be used for release management as well. Google Cloud Deploy handles releases seamlessly, although we have found that some customers want to use different tools for such deployments. Deploy stage: Deploy the new code from the release to the target environment · Rollout stages: progress through a series of Cloud Run target environments with gradual rollouts or canary deployments

Deploys apps to Cloud Run, along with option to map custom domain - GoogleCloudPlatform/terraform-google-cloud-run

Check the confirmation agreement about GitHub and Google Cloud interactivity. Click Next. Under Build Type, select Google Cloud Buildpacks. Click Save. ... Confirm the name of the service. It will be automatically populated with the repository name. In the Region pulldown menu, select the region where you want your service located. Under Authentication, select Allow public access. If you don't have permissions (Cloud Run Admin role) to select this, the service will deploy and require authentication.

In the Google Cloud console, go to the Cloud Run page: ... Locate the service in the services list, and click it. Click Connect to repo and follow the instructions in Set up with Cloud Build.

This repository contains utilities to build Android apps using Google Cloud Build. Google Cloud Build executes a build as a series of build steps. Each build step is run in a Docker container.

May 2, 2024 - I am trying to setup a Cloud Run service with continuous deployment from a connected GitHub repository. The challenge is that the list of connected GitHub repositories does not appear in the dropdown list of the setup. This prevents me from completing the process and setting the service up properly.

The application is developed for and tested on Google Cloud Platform, but it's designed in a way that should allow its deployment in other Cloud solutions without much trouble.

gcloud secrets add-iam-policy-binding github_runner_token \ --member "serviceAccount:$CREMA_SERVICE_ACCOUNT_NAME" \ --role "roles/secretmanager.secretAccessor" Create a Cloud Run worker pool to process GitHub actions.

An GitHub Action for deploying revisions to Google Cloud Run.

For NoMachine, you'll need to allow port 4000 through your cloud network's firewall to the machine. I'll provide commands that summerize the Android Studio guide: # Enable x86 libs in package management sudo dpkg --add-architecture i386 # Update to get the x86 package availability sudo apt-get update # https://developer.android.com/studio/install#64bit-libs sudo apt-get install libc6:i386 libncurses5:i386 libstdc++6:i386 lib32z1 libbz2-1.0:i386 # If you're running a VM (that you enabled nested virtualization # for of course), you *need* to add KVM so that you can leverage # https://developer.android.com/studio/run/emulator-acceleration#vm-linux # Without, the emulator will run with ARM emulation, dirt slow # Get kvm-ok, a little utility just to double check you enabled # nested virtualization.

This will authenticate requests as the service account attached to the instance. This only works using a custom runner hosted on GCP. jobs: job_id: steps: # ... - uses: 'google-github-actions/deploy-cloudrun@v3' with: image: 'us-docker.pkg.dev/cloudrun/container/hello:latest' service: 'hello-cloud-run'

Samples for Cloud Run. Contribute to GoogleCloudPlatform/cloud-run-samples development by creating an account on GitHub.