Architecting with Google Compute Engine (AGCE)

Course Overview

Module 1
Introduction to Google Cloud

• List the different ways of interacting with Google Cloud
• Use the Cloud Console and Cloud Shell
• Create Cloud Storage buckets
• Use the Google Cloud Marketplace to deploy solutions

Module 2
Virtual Networks

• List the VPC objects in Google Cloud
• Differentiate between the different types of VPC networks
• Implement VPC networks and firewall rules
• Implement Private Google Access and Cloud NAT

Module 3
Virtual Machines

• Recall the CPU and memory options for virtual machines
• Describe the disk options for virtual machines
• Explain VM pricing and discounts
• Use Compute Engine to create and customize VM instances

Module 4
Cloud IAM

• Describe the Cloud IAM resource hierarchy
• Explain the different types of IAM roles
• Recall the different types of IAM members
• Implement access control for resources using Cloud IAM

Module 5
Storage and Database Services

• Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
• Choose a data storage service based on your requirements
• Implement data storage services

Module 6
Resource Management

• Describe the cloud resource manager hierarchy
• Recognize how quotas protect Google Cloud customers
• Use labels to organize resources
• Explain the behavior of budget alerts in Google Cloud
• Examine billing data with BigQuery

Module 7
Resource Monitoring

• Describe the services for monitoring, logging, error reporting, tracing, and debugging
• Create charts, alerts, and uptime checks for resources with Cloud Monitoring
• Use Cloud Debugger to identify and fix errors

Module 8
Interconnecting Networks

• Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud
• Determine which Google Cloud interconnect or peering service to use in specific circumstances
• Create and configure VPN gateways
• Recall when to use Shared VPC and when to use VPC Network Peering

Module 9
Load Balancing and Autoscaling

• Recall the various load balancing services
• Determine which Google Cloud load balancer to use in specific circumstances
• Describe autoscaling behavior
• Configure load balancers and autoscaling

Module 10
Infrastructure Automation

• Automate the deployment of Google Cloud services using Deployment Manager or Terraform
• Outline the Google Cloud Marketplace

Module 11
Managed Services

• Describe the managed services for data processing in Google Cloud

Prerequisites

To get the most out of this course, participants should:

1. Have completed Google Cloud Fundamentals: Core Infrastructure KT-GCF-CI or have equivalent experience
2. Have basic proficiency with command-line tools and Linux operating system environments
3. Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment