Google Cloud | GCE Reliability Engineering using Terraform

person icon Jai Chenchlani

Google Cloud | GCE Reliability Engineering using Terraform

Running production grade apps on Google Cloud GCP GCE with Terraform and SRE Reliability Engineering principles.

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Jai Chenchlani

architecture icon Google cloud,Cloud & Networking,Terraform,Reliability,IT & Software


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Course Description

Welcome to the Google Cloud | GCE Reliability Engineering using Terraform, the only course you need to get ready to be a rockstar Google Compute Engine expert.

Spotlight of the course is GCE - Google Compute Engine only. It does not touch upon other forms of compute i.e. GKE, Cloud Run, App Engine etc. 

Before we understand what this course will teach, let's understand what it will not. This will NOT teach you the basics of the tools and technologies used - Terraform, Packer, or Google Cloud / Google Compute Engine in general.

What this course WILL teach you is how to APPLY the tools and technologies to make the most out of them. 

Cloud engineering is all about automation; this course will teach you, how to use Bash scripts, Terraform and Packer to automate infrastructure provision and your app deployment.

In the real world, there’s no application that goes live in production, without thinking about reliability. This course will also teach you to apply reliability engineering principles to your ecosystem. 

The course is packed with my industry experience in the form of 5hrs of lectures and videos on the topic. 

If your goal is to clear a certification, maybe this is not the best course for you. If your goal is to get ready for working in production on Google Cloud for a client, and be productive on day 1, you are at the right place - that’s my commitment to you.

The course takes you through a 10-stage journey of working as a novice to a pro-level on how things are done in production. 

  • Stage 1 | Manual actions via GCP console
  • Stage 2 | Enable logging
  • Stage 3 | Use of Startup Scripts
  • Stage 4 | Complete automation using Bash scripts
  • Stage 5 | Automation using Packer-built images
  • Stage 6 | IaC | Provision infrastructure using Terraform
  • Stage 7 | Create instances(VMs) from Instance Templates
  • Stage 8 | Reliability Engineering | Managed Instance Groups(MIG)
  • Stage 9 | Reliability Engineering | Load Balancer
  • Stage 10 | Remove External IPs and configure Cloud NAT and DNS

By the end of this course, you will be confident about running/hosting any kind of app on GCE - Google Compute Engine. 

Sign up today, and look forward to:

  • Video Lectures
  • Hands-on Demos
  • Resources and Cheatsheets

This course is the best way to get ready to rock day 1 on the job in Google Compute Engine.

I wish you all the best in life and your career ahead. Welcome aboard!


What will you learn in this course:

  • GCP Overview - Overview of GCP Services
  • GCE | Google Compute Engine - In-depth understanding, use cases and best practices
  • GCE best practices | concepts and implementation
  • Running production grade apps in GCE | 10 Stages of maturity
  • Provision GCE resources using GCP Console
  • Provision GCE resources via CLI using gcloud
  • Building compute images using Packer
  • IaC - Provisions GCE resources using Terraform
  • Apply Reliability Engineering principles to avoid single points of failure
  • Run a website with Observability in GCE with best practices incorporated
  • Grafana - One of the most popular visualization/monitoring tool


What are the prerequisites for this course?

  • A Mac or PC computer with access to the internet
  • No paid software required - we will use GCP free tier
  • High level understanding of GCP and the services it offers
  • Basic understanding of Terraform will help, although not a show-stopper
Google Cloud | GCE Reliability Engineering using Terraform


Check out the detailed breakdown of what’s inside the course

5 Lectures
  • play icon Course Preview 03:41 03:41
  • play icon Instructor Introduction 01:00 01:00
  • play icon Instructor Coordinates
  • play icon Agenda 01:59 01:59
  • play icon GCP Free Tier Account and Initial Setup 13:30 13:30
Introduction to GCP and GCE
3 Lectures
Demo | Introduction
5 Lectures
Stage 1 | Manual actions via GCP Console
9 Lectures
Stage 2 | Enable Logging
5 Lectures
Stage 3 | Automate Initial Setup using Startup Scripts
7 Lectures
Stage 4 | Complete Automation using Bash Scripts
6 Lectures
Stage 5 | Introducing Packer
7 Lectures
Stage 6 | Introducing Terraform
6 Lectures
Stage 7 | Instance Templates
3 Lectures
Stage 8 | Managed Instance Groups (MIGs)
4 Lectures
Stage 9 | Load Balancers
4 Lectures
Stage 10 | No external IP | Cloud NAT | DNS
6 Lectures
1 Lectures

Instructor Details

Jai Chenchlani

Jai Chenchlani

Cloud/GCP | SRE | Platform Engineering Architect

Jai is a Platform/SRE/DevOps/Cloud Architect with extensive experience in provisioning and maintaining cloud infrastructure. He specializes in GCP and devops/gitops/IaC and Reliability engineering, and has the expertise to go deep into fundamental technology domains like networking, security, linux etc that are ubiquitous in the cloud. He has a knack for automation(Python and Bash are close to his heart), and has been working in the industry for about 20 years now. His teaching style provides students with an interactive and hands-on experience, that makes it very interesting and easy for the students to grasp and follow along.

And, here’s a brief intro to his teaching style. Watch it for a little entertainment along the say :).


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