Architecting with Google Compute Engine

• Cloud Solutions Architects, DevOps Engineers
• Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine

• Configure VPC networks and virtual machines
• Administer Identity and Access Management for resources
• Implement data storage services in Google Cloud
• Manage and examine 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 Cloud

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

• 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

• Compute Engine
• VPC Networking
• Cloud IAM
• Cloud Storage
• Cloud SQL
• Cloud Spanner
• Cloud Firestore
• Cloud Bigtable
• BigQuery
• Resource Manager
• Cloud Monitoring
• Cloud Logging
• Cloud Interconnect
• Cloud VPN
• Cloud Load Balancing
• Deployment Manager

• Google Kubernetes Engine
• App Engine
• Cloud Functions
• Cloud Run

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