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docs: Remove reference to Container Registry and redundant option #218

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Sep 17, 2024
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docs: Remove reference to Container Registry and redundant option #218

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20 changes: 3 additions & 17 deletions src/frontend/README.md
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Expand Up @@ -26,29 +26,15 @@ In the project directory, you can run:
VITE_API_SERVER=<BACKEND_URI>
```

#### Option 1. Build and deploy to Google Cloud Run in one step
#### Build and deploy to Google Cloud Run in one step

```
gcloud run deploy image-processing-frontend --source . --region=us-central1 --cpu=2 --memory=8G --timeout=3600 --allow-unauthenticated
```

This packages the frontend into an image using the Dockerfile and saves it in the Google Container Registry. It then deploys the image right away.
This packages the frontend into an image using the Dockerfile and saves it in the Artifact Registry. It then deploys the image right away.

#### Option 2. Build a container using Google Cloud Build
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@NimJay NimJay Sep 16, 2024 •
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I'm removing option 2. Users can just use option 1 (gcloud run deploy ... --source) with the --source argument to build and deploy in a single step.


```
gcloud builds submit --tag gcr.io/your-project-name/image-processing-frontend
```

This uses the Dockerfile to build the frontend container and save it in the Google Container Registry.

This can then be deployed to Cloud Run using the following command:

```
gcloud run deploy image-processing-frontend --image gcr.io/your-project-name/image-processing-frontend --region=us-central1 --platform=managed --cpu=2 --memory=8G --timeout=3600 --allow-unauthenticated --min-instances=0
```

See [Deploy a Python service to Cloud Run](https://cloud.google.com/run/docs/quickstarts/build-and-deploy/deploy-python-service) for more information.
See [Deploy from source code](https://cloud.google.com/run/docs/deploying-source-code) and [Deploy a Python service to Cloud Run](https://cloud.google.com/run/docs/quickstarts/build-and-deploy/deploy-python-service) for more information.

### Development

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