Why serverless functions matter in GCP - See It in Action

Why Serverless Functions Matter

📖 Scenario: You are working for a small online store that wants to handle customer requests quickly without managing servers. You decide to use serverless functions on Google Cloud Platform (GCP) to run code only when needed.

🎯 Goal: Build a simple serverless function setup on GCP that responds to HTTP requests. This will show how serverless functions work and why they matter for saving time and resources.

📋 What You'll Learn

Create a basic HTTP serverless function

Add a configuration variable for greeting message

Write the core function logic to return the greeting

Complete the deployment configuration for the function

💡 Why This Matters

🌍 Real World

Serverless functions let developers run code without managing servers. They save time and money by running only when needed.

💼 Career

Understanding serverless functions is important for cloud jobs, as many companies use them to build scalable and cost-efficient applications.

1

Create the initial serverless function code

Create a Python function called hello_world that takes request as a parameter and returns the string 'Hello from serverless!'.

GCP

# Your code here

Need a hint?

Define a function named hello_world with one parameter request. Return the exact string 'Hello from serverless!'.

2

Add a greeting message variable

Add a variable called GREETING and set it to the string 'Welcome to our serverless function!' above the hello_world function.

GCP

GREETING = ''  # Your greeting message here

def hello_world(request):
    return 'Hello from serverless!'

Need a hint?

Define a variable GREETING with the exact string value before the function definition.

3

Use the greeting variable in the function

Change the hello_world function to return the value of the GREETING variable instead of the fixed string.

GCP

GREETING = 'Welcome to our serverless function!'

def hello_world(request):
    # Return the greeting message
    return ''

Need a hint?

Replace the return statement to return the variable GREETING.

4

Add deployment configuration for the function

Create a YAML configuration snippet for deploying the function on GCP Cloud Functions with the name helloWorldFunction, runtime python39, trigger type http, and entry point hello_world.

GCP

GREETING = 'Welcome to our serverless function!'

def hello_world(request):
    return GREETING

# Add deployment YAML configuration below

Need a hint?

Write the deployment configuration lines exactly as shown, using the keys name, runtime, trigger, and entry_point.