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Using Cloud Run

Last Updated: 10th September, 2026

You’ve built a backend API

It works great locally but in production:

  • Traffic is unpredictable
  • You don’t want to manage servers
  • You need fast scaling

Instead of setting up VMs or clusters, you just package your app into a container

Deploy it to Cloud Run
It scales automatically
You pay only when it runs

That’s the simplicity of Cloud Run

sacks  (1).png

What is Cloud Run?

Cloud Run is a serverless container platform on GCP that lets you:

  • Deploy containerized applications
  • Without managing servers

It automatically handles:

  • Scaling
  • Networking
  • Load balancing

Key Concepts

1. Container

  • Package of your app + dependencies
  • Usually built using Docker

2. Service

  • Deployed container in Cloud Run

3. Revision

  • Version of your deployed app

Key Features

  • Serverless → No infrastructure management
  • Auto Scaling → Scales to zero when idle
  • Fast Deployment → Deploy in minutes
  • Pay-per-use → Cost efficient
  • HTTPS by default

Step-by-Step Deployment

1. Create a Simple App (Node.js Example)

const express = require('express');
const app = express();

app.get('/', (req, res) => {
res.send('Hello from Cloud Run!');
});

app.listen(8080);

2. Create Dockerfile

FROM node:18
WORKDIR /app
COPY . .
RUN npm install
CMD ["node""index.js"]

3. Build Container

gcloud builds submit --tag gcr.io/my-project/my-app

4. Deploy to Cloud Run

gcloud run deploy my-service \
  --image gcr.io/my-project/my-app \
  --platform managed \
  --allow-unauthenticated

Your app is now live with a public URL

Cloud Run vs App Engine

Feature

Cloud Run

App Engine

DeploymentContainersCode
FlexibilityHighMedium
ScalingAutomaticAutomatic
ControlMore controlLess control

1. Backend APIs

  • Handle requests from mobile/web apps

2. Microservices

  • Deploy each service independently

3. Event-Driven Apps

  • Run only when triggered

4. Data Processing Tasks

  • Run jobs on demand
Module 3: Compute & DeploymentUsing Cloud Run

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