Architecting with Google Compute Engine (AGCE)

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Introduction to Google Cloud Platform

• Google Cloud Platform (GCP) Infrastructure
• Using GCP
• Lab: Console and Cloud Shell
• Demo: Projects
• Lab: Infrastructure Preview

Module 2: Virtual Networks

• Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
• Subnetworks for resource management instead of physical network topology
• Lab: Virtual Networking
• Lab: Bastion Host

Module 3: Virtual Machines

• Compute Engine
• Lab: Creating Virtual Machines
• Compute options (vCPU and Memory)
• Images
• Common Compute Engine actions
• Lab: Working with Virtual Machines

Module 4: Cloud IAM

• Organizations, Roles, Members, Service accounts, Cloud IAM best practices
• Lab: Cloud IAM

Module 5: Data Storage Services

• Cloud Storage
• Lab: Cloud Storage
• Cloud SQL
• Lab: Cloud SQL
• Cloud Spanner, Cloud Datastore
• Lab: Cloud Datastore
• Cloud Bigtable

Module 6: Resource Management

• Cloud Resource Manager, Quotas, Labels, Names, Billing
• Demo: Billing Administration
• Lab: Examining Billing Data with BigQuery

Module 7: Resource Monitoring

• Stackdriver, Monitoring
• Lab: Resource Monitoring (Stackdriver)
• Logging, Error Reporting, Tracing, Debugging
• Lab: Error Reporting and Debugging (Stackdriver)

Module 8: Interconnecting Networks

• Cloud Virtual Private Network (VPN)
• Lab: Virtual Private Networks (VPN)
• Cloud Router, Cloud Interconnect, External Peering, Cloud DNS

Module 9: Load Balancing

• Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing
• Lab: VM Automation and Load Balancing

Module 10: Autoscaling

• Autoscaling, Policies, Configuration
• Lab: Autoscaling

Module 11: Infrastructure Automation with Google Cloud Platform APIs

• Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
• Lab: Google Cloud Platform API Infrastructure Automation

Module 12: Infrastructure Automation with Deployment Manager

• Deployment Manager, Configuration, Cloud Launcher
• Lab: Deployment Manager

Module 13: Managed Services

• Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab

Module 14: Application Infrastructure Services

• Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs

Module 15: Application Development Services

• App Engine

Module 16: Containers

• Containers, Kubernetes Engine, Container Registry
• Lab: Kubernetes Load Balancing
• Kubernetes Engine, App Engine, or Containers on Compute Engine?