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Managing Cloud Infrastructure with Terraform

Offered By: Google via Qwiklabs

Tags

Terraform Courses Kubernetes Courses Google Cloud Platform (GCP) Courses Cloud SQL Courses Cloud Infrastructure Management Courses Amazon Web Services Courses

Course Description

Overview

In this Quest, the experienced user of Google Cloud will learn how to describe and launch cloud resources with Terraform, an open source tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. In these nine hands-on labs, you will work with example templates and understand how to launch a range of configurations, from simple servers, through full load-balanced applications.

Syllabus

  • Deploy Kubernetes Load Balancer Service with Terraform
    • In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.
  • HTTPS Content-Based Load Balancer with Terraform
    • This lab shows you how to create a HTTPS load balancer to forward traffic to a custom URL map, which then sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket.
  • Modular Load Balancing with Terraform - Regional Load Balancer
    • This lab will demonstrate how to use the Regional Load Balancer GCP Terraform modules for setting up various load balancers.
  • Custom Providers with Terraform
    • In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to build a custom provider for Terraform.
  • Cloud SQL with Terraform
    • In this hands-on lab you will learn to create Cloud SQL instances with Terraform, then set up the Cloud SQL Proxy, testing the connection with both MySQL and PostgreSQL clients.
  • Building a VPN Between Google Cloud and AWS with Terraform
    • In this lab, you will use Terraform to to create secure, private, site-to-site connections between Google Cloud and Amazon Web Services (AWS) using virtual private networks (VPNs).

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