Google Cloud Infrastructure for AWS Professionals

Module 1: Resource and Access Management in Google Cloud

• Google Cloud Resource Hierarchy
• Identity and Access Management
• Service Accounts
• Interaction with Google Cloud
• Review the AWS resource hierarchy.
• Explore how IAM lets you apply policies that define who can do what on which resources in Google Cloud.
• Examine service account types and keys in Google Cloud.
• Navigate through Google Cloud console and Cloud Shell to perform basic tasks.
• Lab: Exploring Identity and Access Management

Module 2:Networking in Google Cloud

• Networking Concepts in AWS and Google Cloud
• Virtual Private Cloud Networking
• Lab: VPC Networking
• Cloud Routing
• Interconnecting Networks
• Lab: Implement Private Google Access and Cloud NAT
• Compare networking concepts in AWS and Google Cloud.
• Understand VPC networking on Google Cloud.
• Explain how Google Virtual Private Cloud (VPC) differs from AWS VPC.
• Create and configure Private Google Access and Cloud NAT.
• Determine which Google Cloud interconnect or peering service to use in specific circumstances.
• Lab: VPC Networking
• Lab: Implement Private Google Access and Cloud NAT

Module 3: Virtual Machines in Google Cloud

• Google Compute Engine
• Machine types and images
• Spot VMs
• List the various CPU, GPU, and memory options for virtual machines.
• Explore Google Cloud images.
• Explain where you would want to use Spot VMs in Google Cloud.
• Lab: Getting started with Compute Engine

Module 4: Load Balancing and Managed Instance Groups on Google Cloud

• Load Balancing in AWS and Google Cloud
• Cloud Load Balancing Features in Google Cloud
• Managed Instance Groups
• Explain Cloud Load Balancing features in Google Cloud.
• Describe Managed Instance Groups and how to use them.
• Explain how to use Managed Instance Groups with Load Balancers.
• Lab: Configuring an HTTP Load Balancer with Autoscaling

Module 5: Storage in Google Cloud

• Overview of Storage and Database Services
• Cloud Storage
• Managed Database Services
• Data Lake Options
• Explore storage options and use cases.
• Explore the features of Cloud SQL and Cloud Spanner.
• Learn about using Cloud Bigtable.
• Lab: Cloud Storage
• Lab: Implementing Cloud SQL

Module 6: Containers in Google Cloud

• Containers in Google Cloud
• Google Kubernetes Engine
• Kubernetes Concepts and Architecture
• Deployments and Networking
• Hybrid and Multi-Cloud Computing with GKE Enterprise
• Explain how containers can be utilized in Google Cloud.
• Provision a Kubernetes cluster using GKE.
• Explain how Deployments are used in Kubernetes.
• Identify the purpose of hybrid and multi-cloud computing with GKE Enterprise.
• Lab: Getting started with Google Kubernetes Engine
• Lab: Creating Google Kubernetes Engine Deployments

Module 7: Applications in Google Cloud

• Developing Applications in Google Cloud
• Cloud Run Functions
• Cloud Run
• Describe how Cloud Run Functions can support application development.
• Deploy a containerized application on Cloud Run.
• Lab: Hello Cloud Run

Module 8: Monitoring in Google Cloud

• Monitoring in the Cloud
• Cloud Operations
• Monitoring GKE Clusters
• Monitoring Tools in AWS and Google Cloud
• Describe Google Cloud's operations suite.
• Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
• Describe system metrics collection in GKE.
• Lab: Monitoring a Compute Engine VM using Ops Agent