GCP Cloud Functions and Cloud Run - GCP Certification Cheat Sheet

Let’s get a quick overview of Google Cloud Functions & Google Cloud Run from an GCP certification perspective. We will look at important certification questions regarding Cloud Functions and Cloud Run

You will learn

  • What is Cloud Functions & Cloud Run?
  • Why it is important and how to set it up?
  • Commands Cheatsheet

Google Cloud Functions

Cloud Functions

  • Imagine you want to execute some code when an event happens?
    • A file is uploaded in Cloud Storage
    • An error log is written to Cloud Logging
    • A message arrives to Cloud Pub/Sub
  • Enter Cloud Functions
    • Serverless compute service offered by GCP
    • Run code in response to events
      • Write your business logic in Node.js, Python, Go, Java, .NET, and Ruby
      • Don’t worry about servers or scaling or availability (only worry about your code)
    • Pay only for what you use
      • Number of invocations
      • Compute Time of the invocations
      • Amount of memory and CPU provisioned
    • Time Bound - Default 1 min and MAX 9 minutes(540 seconds)
    • Each execution runs in a separate instance
      • No direct sharing between invocations

AppEngine vs Cloud Functions

  • Both are Serverless compute services
  • App Engine is best suited for
    • An application consists of multiple services/components
    • Like Web UI, Rest API’s, Business Logic Services
    • These components together make up an Application
    • Helps to treat such applications as single unit
  • Cloud Functions is best suited for
    • An action to happen based on some events in GCP
    • These actions are individual actions and should be managed independent
    • Cloud Functions allows to decouple events handling

Cloud Functions - Concepts

  • Event : Upload object to cloud storage
  • Trigger: Respond to event with a Function call
    • Trigger - Which function to trigger when an event happens?
    • Functions - Take event data and perform action?
  • Events are triggered from
    • Cloud Storage
    • Cloud Pub/Sub
    • Firebase
    • Cloud Firestore
    • Stack driver logging

Example Cloud Function - HTTP - Node.js

const escapeHtml = require('escape-html');

 * HTTP Cloud Function.
 * @param {Object} req Cloud Function request context.
 *                     More info: https://expressjs.com/en/api.html#req
 * @param {Object} res Cloud Function response context.
 *                     More info: https://expressjs.com/en/api.html#res
exports.helloHttp = (req, res) => {
  res.send(`Hello ${escapeHtml(req.query.name || req.body.name || 'World')}!`);

Example Cloud Function - Pub/Sub - Node.js

 * Background Cloud Function to be triggered by Pub/Sub.
 * This function is exported by index.js, and executed when
 * the trigger topic receives a message.
 * @param {object} message The Pub/Sub message.
 * @param {object} context The event metadata.
exports.helloPubSub = (message, context) => {
  const name = message.data
    ? Buffer.from(message.data, 'base64').toString()
    : 'World';

  console.log(`Hello, ${name}!`);

Cloud Functions - From the Command Line

Description Command
Deploy a new Cloud Funtion *gcloud functions deploy FUNCTION_NAME –runtime python37 –trigger-resource TRIGGER_RESOURCE –trigger-event TRIGGER_EVENT
List available events gcloud functions event-types list
Call a function gcloud functions call FUNCTION_NAME –data=’{“message”:”test”}’
Delete a function in a given region gcloud functions delete FUNCTION_NAME –region=REGION

Cloud Functions - Remember

  • No Server Management: You dont need to worry about scaling or availability of your function
  • Cloud Functions automatically spin up and back down in response to events
    • They scale horizontally!
  • Cloud Functions are recommended for responding to events:
    • Cloud Functions are NOT ideal for long running processes
      • Time Bound - Default 1 min and MAX 9 minutes(540 seconds)

Cloud Run & Cloud Run for Anthos

  • Cloud Run - “Container to Production in Seconds”
    • Built on top of an open standard - Knative
    • Fully managed serverless platform for containerized applications
      • ZERO infrastructure management
      • Pay-per-use (For used CPU, Memory, Requests and Networking)
  • Fully integrated end-to-end developer experience:
    • No limitations in languages, binaries and dependencies
    • Easily portable because of container based architecture
    • Cloud Code, Cloud Build, Cloud Monitoring & Cloud Logging Integrations
  • Anthos - Run Kubernetes clusters anywhere
    • Cloud, Multi Cloud and On-Premise
  • Cloud Run for Anthos: Deploy your workloads to Anthos clusters running on-premises or on Google Cloud
    • Leverage your existing Kubernetes investment to quickly run serverless workloads

Cloud Run - From the Command Line

Description Command
Deploy a new container gcloud run deploy SERVICE_NAME –image IMAGE_URL –revision-suffix v1
First deployment creates a service and first revision
Next deployments for the same service create new revisions
List available revisions gcloud run revisions list
Adjust traffic assignments gcloud run services update-traffic myservice –to-revisions=v2=10,v1=90

Certification - Recommended Reading

Cloud Certifications - AWS, Azure and Google Cloud - Top 8 FAQ For Me

Google Cloud For Beginners - How to choose a Database Service?

Teaching Cloud Certifications - Top 6 Learnings

Google Cloud For Beginners - How to choose a Compute Service?

Important Kubernetes Concepts Made Easy

Introduction to Google Cloud - For AWS Professionals

Getting Started with Docker - 5 Easy Steps

GCP PubSub - GCP Certification Cheat Sheet

GCP IAM - GCP Certification Cheat Sheet

GCP App Engine - GCP Certification Cheat Sheet


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