Architecting with Google Compute Engine

This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You'll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Architecting with Google Compute Engine Benefits

• In this course, you will:

  • Interact with the Google Cloud console and Cloud Shell
  • Deploy solutions using Google Cloud Marketplace
  • Implement VPC networks and firewall rules.
  • Create and customize VM instances using Compute Engine
  • Administer Identity and Access Management for resources.
  • Implement data storage services in Google Cloud
  • Manage and examine the billing of Google Cloud resources.
  • Monitor resources using Google Cloud services.
  • Connect your infrastructure to Google Cloud
  • Configure load balancers and autoscaling for VM instances.
  • Automate the deployment of Google Cloud infrastructure services.
  • Leverage managed services in Google CloudApply techniques and best practices for securing Google Cloud applications.
  • Apply techniques and best practices for securing Google Kubernetes Engine (GKE) resources.
  • Manage protection against distributed denial-of-service attacks (DDoS).
  • Manage content-related vulnerabilities.
  • Implement Google Cloud monitoring, logging, auditing, and scanning solutions.

• Prerequisites

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

• Exam Information

  None.

Architecting with Google Compute Engine Course Outline

Learning Objectives

Module 1) Introduction to Google Cloud

• List the different ways of interacting with Google Cloud
• Interact with the Google Cloud console and Cloud Shell
• Create Cloud Storage buckets.
• Deploy solutions using Google Cloud Marketplace

Module 2) Virtual Networks

• List the VPC objects in Google Cloud
• Explore VPC Networking
• 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.
• Create and customize VM instances using Compute Engine

Module 4) Identity and Access Management (IAM)

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

Module 5) Storage and Database Services

• Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, 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.
• Organize resources using labels.
• 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 
• Identify and fix errors using Cloud Debugger

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 Google Cloud HA VPN
• 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 Terraform.
• Outline the Google Cloud Marketplace

Module 11) Managed Services

• Describe the managed services for data processing in Google Cloud