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VM Migration: Planning

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Checkpoints

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Create a service account and a key (SA Name: terraform)

Grant your Service Account the Owner role on your project

Create and configure a GCS bucket

Run Terraform for the first time

Add a subnet

Allow https traffic

Create an image from the boot disk

Deploy the VM using Terraform

VM Migration: Planning

1 个小时 7 个积分

GSP616

Google Cloud Self-Paced Labs

Overview

Introduction

Google Cloud’s four steps structured Cloud Migration Path Methodology provides a defined, repeatable migration path for users to follow:

migration.png

  1. Assess the current environment to gain a solid understanding of existing resources and define migration move groups.

  2. Plan how to move your apps and create the basic cloud infrastructure for your workloads to live. This planning includes identity management, organization and project structure, networking, sorting your apps and developing a prioritized migration strategy.

  3. Deploy the existing on-premise or cloud-based servers in GCP leveraging one of Google Cloud’s recommended migration tools like Google’s Velostrata or CloudEndure’s Live Migration Tool

  4. Optimize your newly migrated workloads to realize the true cost benefits and operational efficiencies that GCP can bring to the enterprise

This lab focuses on the “Plan” phase and how to deploy your basic infrastructure on GCP.

What you'll learn

Terraform is a popular open-source tool for defining and provisioning infrastructure (Infrastructure as Code). In this lab, you'll leverage pre-built Infrastructure as Code templates to setup a cloud network, configure access, and deploy your first application—all in a secure and automated fashion.

More specifically, you will learn how to:

  • Create access credentials for automation in GCP.
  • Create a functional environment for using Terraform.
  • Create a custom mode Virtual Private Cloud (VPC) network, with related firewall rules.
  • Bake an image on Google Compute Engine.
  • Deploy an instance onto GCE using Terraform.
  • Reference resources across multiple Terraform deployments.

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