Why Cloud Run matters for containers in GCP - See It in Action

Why Cloud Run matters for containers

📖 Scenario: You are working for a small company that wants to run a simple web application using containers. You want to use Google Cloud Run because it can run containers without managing servers.

🎯 Goal: Build a Cloud Run service configuration that deploys a container image with automatic scaling and secure settings.

📋 What You'll Learn

Create a variable with the container image URL

Add a configuration variable for the maximum number of instances

Write the Cloud Run service deployment configuration using the image and max instances

Complete the configuration with the service name and region

💡 Why This Matters

🌍 Real World

Cloud Run lets you run containerized apps without managing servers, perfect for small teams or projects.

💼 Career

Understanding Cloud Run configuration is useful for cloud engineers and developers deploying scalable container apps.

1

DATA SETUP: Define the container image URL

Create a variable called container_image and set it to the exact string "gcr.io/my-project/my-app:latest".

GCP

# Create a variable called container_image with the container image URL
# Your code here

Need a hint?

The container image URL is a string that points to your container in Google Container Registry.

2

CONFIGURATION: Set the maximum number of instances

Add a variable called max_instances and set it to the integer 3.

GCP

container_image = "gcr.io/my-project/my-app:latest"
# Add a variable max_instances and set it to 3
# Your code here

Need a hint?

Max instances controls how many container instances Cloud Run can create to handle traffic.

3

CORE LOGIC: Write the Cloud Run service deployment configuration

Create a dictionary called cloud_run_service with keys image set to container_image and maxInstances set to max_instances.

GCP

container_image = "gcr.io/my-project/my-app:latest"
max_instances = 3
# Create a dictionary cloud_run_service with keys image and maxInstances
# Your code here

Need a hint?

The dictionary holds the main settings for your Cloud Run service deployment.

4

COMPLETION: Add service name and region to the configuration

Add keys serviceName with value "my-cloud-run-service" and region with value "us-central1" to the cloud_run_service dictionary.

GCP

container_image = "gcr.io/my-project/my-app:latest"
max_instances = 3
cloud_run_service = {
    "image": container_image,
    "maxInstances": max_instances
}
# Add serviceName and region keys to cloud_run_service
# Your code here

Need a hint?

Service name and region tell Cloud Run what to call your service and where to run it.