Cloud Run for containerized services in GCP - Mini Project: Build & Apply

Cloud Run for containerized services

📖 Scenario: You are a developer who wants to deploy a simple containerized web service on Google Cloud using Cloud Run. Cloud Run lets you run containers without managing servers, scaling automatically based on traffic.In this project, you will create the necessary configuration to deploy a container image to Cloud Run with basic settings.

🎯 Goal: Build a Cloud Run service configuration that deploys a container image with a specified service name, region, and allows unauthenticated access.

📋 What You'll Learn

Create a Cloud Run service configuration dictionary with the service name and container image

Add a region configuration variable for deployment location

Add the main deployment configuration including container port and environment variables

Complete the configuration by enabling unauthenticated access and setting the service to use the specified region

💡 Why This Matters

🌍 Real World

Cloud Run is widely used to deploy containerized applications quickly without managing servers. This project simulates setting up a basic Cloud Run service configuration.

💼 Career

Understanding how to configure and deploy services on Cloud Run is essential for cloud engineers and developers working with serverless container platforms.

1

Create initial Cloud Run service configuration

Create a dictionary called cloud_run_service with these exact entries: 'name': 'my-cloud-run-service' and 'image': 'gcr.io/my-project/my-container:latest'.

GCP

# Create the cloud_run_service dictionary with name and image
# Your code here

Need a hint?

Use a Python dictionary with keys 'name' and 'image' and assign the exact string values.

2

Add deployment region configuration

Create a variable called deployment_region and set it to the string 'us-central1' to specify the Cloud Run deployment region.

GCP

cloud_run_service = {
    'name': 'my-cloud-run-service',
    'image': 'gcr.io/my-project/my-container:latest'
}
# Set the deployment_region variable
# Your code here

Need a hint?

Assign the exact string 'us-central1' to the variable deployment_region.

3

Add container port and environment variables

Add a key 'container_config' to the cloud_run_service dictionary. Its value should be another dictionary with 'port' set to 8080 and 'env' set to a dictionary with 'ENV' key and value 'production'.

GCP

cloud_run_service = {
    'name': 'my-cloud-run-service',
    'image': 'gcr.io/my-project/my-container:latest'
}
deployment_region = 'us-central1'
# Add container_config with port and env to cloud_run_service
# Your code here

Need a hint?

Update the cloud_run_service dictionary to include container_config with the specified port and environment variable.

4

Enable unauthenticated access and set region

Add two keys to the cloud_run_service dictionary: 'allow_unauthenticated' set to True and 'region' set to the variable deployment_region.

GCP

cloud_run_service = {
    'name': 'my-cloud-run-service',
    'image': 'gcr.io/my-project/my-container:latest',
    'container_config': {
        'port': 8080,
        'env': {
            'ENV': 'production'
        }
    }
}
deployment_region = 'us-central1'
# Add allow_unauthenticated and region keys to cloud_run_service
# Your code here

Need a hint?

Set 'allow_unauthenticated' to True and 'region' to deployment_region in the cloud_run_service dictionary.