GCP DevOps: Terraform IaC & Azure DevOps CI/CD Masterclass

In this lesson, you will learn the core building blocks of Terraform, including providers, resources, variables, state files, and the standard Terraform workflow. We will break down how Terraform interacts with GCP, how configuration files are structured, and how to run init, plan, and apply effectively. This lecture builds the foundation you need before creating real GCP infrastructure using Infrastructure as Code.

In this lesson, you will learn how to configure the GCP provider for Terraform, including setting up service accounts, enabling required APIs, and generating authentication credentials. We will walk through creating the provider block, configuring project and region settings, and validating secure access between Terraform and GCP. By the end of this lecture, you’ll have a fully functional provider setup ready for building GCP infrastructure.

In this lesson, you will learn how to securely integrate Azure DevOps with Google Cloud Platform to enable automated Terraform deployments. We will configure service connections, set up GCP service account authentication, manage secrets, and prepare the pipeline environment for GCP access. By the end of this lecture, you’ll have a fully connected Azure DevOps setup ready to run Terraform workflows against GCP.

In this lesson, you will learn how to securely manage sensitive files and credentials while working with GCP Infrastructure as Code using Terraform. We will cover best practices for handling service account keys, protecting state files, using secret storage, and avoiding exposure of sensitive data in pipelines or repositories. By the end of this lecture, you’ll understand how to maintain a secure and compliant IaC workflow.

In this lesson, you will learn how to validate GCP infrastructure deployments using automated tests built with the Pytest framework. We will explore how to write test cases that verify resource creation, configuration accuracy, and policy compliance after Terraform deployments. You will also see how these tests integrate into CI/CD pipelines to ensure continuous validation. By the end of this lecture, you’ll be able to create and run automated infrastructure tests for reliable GCP environments.

In this lesson, you will learn how to define, manage, and enforce Google Cloud Organization Policies using Terraform. We will walk through real examples of creating and applying org policies to control resource behavior, ensure compliance, and enforce governance across projects. You will also see how these policies integrate into a Terraform-based IaC workflow to deliver consistent, secure, and centrally governed GCP deployments.

In this lesson, you will walk through the full end-to-end GCP DevOps pipeline flow combining Terraform, GCP, and Azure DevOps CI/CD. We will review each stage—from code commit, validation, planning, and secure deployment to automated testing and final infrastructure provisioning. By the end of this lecture, you will clearly understand how all components work together to deliver a complete, production-ready GCP DevOps pipeline.

In this lesson, you will explore the essential enterprise-grade best practices for implementing GCP DevOps at scale. We will cover standards for Terraform IaC, secure credential handling, policy enforcement, CI/CD governance, environment structure, automation patterns, and operational excellence. By the end of this lecture, you will understand how to design, deploy, and manage reliable, secure, and compliant GCP DevOps workflows suitable for large organizations.

In this lesson, you will learn how to create and set up a new Azure DevOps (ADO) repository for storing your Terraform code and GCP DevOps project files. We will walk through creating the repo, configuring the default branch, organizing folders for IaC, and preparing the repository for CI/CD pipeline integration. By the end of this lecture, you will have a clean, well-structured ADO repo ready for your GCP DevOps workflow.

In this practical demo, you will learn how to create a Google Cloud Service Account for Terraform deployments and securely store its key file inside Azure DevOps. We will walk through generating the service account, assigning required IAM roles, downloading the key, and securely uploading it to Azure DevOps using secure files. By the end of this lecture, you will have a fully secured authentication setup ready for Terraform automation in your CI/CD pipeline.

In this practical demo, you will learn how to design and organize an Azure DevOps repository for GCP Terraform Infrastructure as Code. We will create a clear folder structure for modules, environments, pipeline templates, and secure files. You’ll understand how to separate reusable Terraform components, manage environment-specific configurations, and prepare the repo for CI/CD automation. By the end of this lecture, you will have a clean, scalable, and production-ready ADO repo structure tailored for GCP IaC projects.

In this hands-on demo, you will write Terraform code to create and manage Google Cloud Organization Policies. We'll cover creating policy definitions, assigning constraints, configuring policy inheritance, and applying policies across projects and folders using Terraform modules and remote state. You’ll test and validate policy changes, handle common errors, and learn rollback strategies. By the end of this lecture, you’ll be able to author, version, and deploy org policies as code for consistent governance across your GCP environment.

In this hands-on demo, you will learn how to write and structure the Azure DevOps pipeline (YAML) for automating Terraform deployments on GCP. We will walk through pipeline stages such as install dependencies, initialize Terraform, run plan and apply, manage secure files, and handle environment-specific variables. You’ll also learn how to include validation, linting, and automated checks to ensure reliable deployments. By the end of this lecture, you will have a complete, production-ready CI/CD pipeline writeup tailored for GCP IaC.

In this practical demo, you will learn how to configure and manage Terraform remote state using a Google Cloud Storage (GCS) bucket. We will create the storage bucket, enable versioning, set secure permissions, and integrate the backend block in Terraform. You will also understand how remote state improves team collaboration, prevents configuration drift, and ensures safe, consistent deployments. By the end of this lecture, you will have a fully functional remote state backend for your GCP IaC pipeline.

In this practical demo, you will learn how to configure Azure DevOps Variable Groups and Secure Files to safely manage sensitive values and credentials used in your GCP Terraform pipeline. We will walk through creating variable groups, linking them to pipelines, storing secrets, uploading secure files such as service account keys, and referencing them inside YAML. By the end of this lecture, you’ll understand how to centralize configuration, improve security, and streamline CI/CD automation for GCP IaC.

In this practical demo, you will learn how to create and configure Azure DevOps Environments to manage deployment approvals for your GCP Terraform pipeline. We will walk through setting up environments, adding approvers, enabling checks, and controlling deployment flow across dev, test, and prod stages. You’ll also see how approvals integrate seamlessly with YAML pipelines to enforce governance and ensure safe, compliant Infrastructure as Code deployments. By the end of this lecture, you’ll be able to implement a controlled and auditable approval process for GCP IaC releases.

In this hands-on demo, you will learn how to create a complete Azure DevOps pipeline for deploying GCP infrastructure using Terraform. We will walk through defining pipeline stages, connecting the repository, integrating variable groups and secure files, and configuring triggers for automated CI/CD. By the end of this lecture, you will have a fully functional pipeline that validates, plans, and applies Terraform code in a structured and automated workflow for GCP IaC.

In this hands-on demo, you will get a complete walkthrough of a fully revamped Azure DevOps pipeline for GCP Infrastructure as Code using Terraform. We will review all stages, from initialization, validation, plan, and apply, to approvals, variable groups, and secure file management. This lecture emphasizes best practices, pipeline optimization, error handling, and production-ready automation. By the end of this session, you’ll have a deep understanding of how to design, manage, and maintain a robust, enterprise-grade CI/CD pipeline for GCP IaC.

In this hands-on demo, you will learn how to write Terraform code to create and manage Google Cloud Storage buckets within a specific GCP project. We will cover defining the resource block, configuring bucket properties, setting permissions, enabling versioning, and applying the configuration using Terraform. By the end of this lecture, you’ll be able to deploy and manage GCP buckets as code, following best practices for security, organization, and maintainability within your IaC workflow.

In this hands-on demo, you will walk through real Pytest code to automate testing of GCP infrastructure deployed via Terraform. We will cover writing test cases to validate resource creation, configuration correctness, and compliance with policies. You’ll see how to structure test files, execute tests, interpret results, and integrate them into your CI/CD pipeline for continuous validation. By the end of this lecture, you’ll be able to confidently implement automated testing for reliable and production-ready GCP IaC deployments.

In this hands-on demo, you will see a full end-to-end implementation of deploying GCP infrastructure using Terraform integrated with Azure DevOps CI/CD pipelines. We will walk through repository setup, pipeline stages, variable groups, secure files, remote state management, approvals, and automated Terraform deployments. By the end of this lecture, you’ll have a complete understanding of how to orchestrate Infrastructure as Code workflows and CI/CD automation for real-world GCP DevOps projects.