How do I use Vercel with Google Cloud Run for a Go application?

In this guide, we will demonstrate how to deploy a Go application on Google Cloud Run and use Vercel for the frontend deployment. We will set up a Cloud Run service for the backend and configure Vercel to connect to this backend service.

Key Points:

1. Google Cloud Run: A fully managed compute platform that automatically scales your stateless containers.
2. Vercel: A platform for frontend frameworks and static sites, built to integrate with your headless content, commerce, or database.
3. Go Application: A simple Go application will be deployed to Cloud Run.
4. Integration: Vercel will be set up to communicate with the Cloud Run backend.

Steps:

1. Define the Go application: Create a simple Go application.
2. Deploy to Cloud Run: Use Pulumi to deploy the Go application to Google Cloud Run.
3. Set up Vercel: Configure Vercel to connect to the Cloud Run service.

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
import * as fs from "fs";

// Step 1: Define the Go application
const goApp = new gcp.cloudrun.Service("go-app", {
    location: "us-central1",
    template: {
        spec: {
            containers: [
                {
                    image: "gcr.io/my-project/my-go-app:latest",
                    ports: [{ containerPort: 8080 }],
                },
            ],
        },
    },
});

// Step 2: Deploy to Cloud Run
const goAppIam = new gcp.cloudrun.IamMember("go-app-iam", {
    service: goApp.name,
    location: goApp.location,
    role: "roles/run.invoker",
    member: "allUsers",
});

// Step 3: Set up Vercel
// Note: This step involves configuring Vercel through its dashboard to point to the Cloud Run service URL
// The URL can be obtained from the status output of the Cloud Run deployment

export const url = goApp.statuses.apply(statuses => statuses[0].url);

Summary:

In this guide, we set up a Go application and deployed it to Google Cloud Run using Pulumi. We configured the necessary IAM policies to allow public access to the service. Finally, we integrated the backend with Vercel by configuring Vercel to use the Cloud Run service URL. This setup allows you to leverage the scalability of Cloud Run for your backend services while using Vercel for your frontend deployments.