Architecting with Google Compute Engine

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.

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.

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.

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 Cloud IAM.

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.

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.

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.

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.

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.

Infrastructure Modernization

• Automate the deployment of Google Cloud services using Terraform.

• Outline the Google Cloud Marketplace.

Managed Services

• Describe the managed services for data processing in Google Cloud.

This class is intented for the following participants:

• Cloud Solution Architects, DevOps Engineers

• People using Google Cloud to create new solutions or integrate existing systems, infrastructure, and application environments with a focus on Compute Engine

To get the most out of this course, students should have:

• Have completed the course Google Cloud Fundamentals: Core Infrastructure or have similar experience

• Have a basic understanding of command line tools and Linux operating system environments

• Have experience in systems operations, including application deployment and management, both locally and in a public cloud environment