Google Cloud Compute and Scalability for AWS Professionals

Overview

Class Central Tips

This is the second course of a four-course series for cloud architects and engineers with existing AWS knowledge. It aims to compare Google Cloud and AWS solutions and guide professionals on their use. This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowledge of using virtual machines and load balancers in AWS to explore the similarities and differences with configuring and managing compute resources and load balancers in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.

Syllabus

Virtual Machines in Google Cloud

In this module, you will apply your knowledge of working with virtual machines in AWS to explore the similarities and differences with virtual machines in Google Cloud. You will learn about Google Virtual Private Cloud (VPC), routing and firewalls in Google Cloud, and the variety of options Google Cloud offers for connecting networks.

Load Balancing and Managed Instance Groups in Google Cloud

In this module, you will apply your knowledge of load balancing and autoscaling instances in AWS to explore the similarities and differences with using load balancers and managed instance groups (MIGs) in Google Cloud. You will learn about the variety of options available in Cloud Load Balancing to distribute external and internal traffic. You will also learn how to create MIGs and use them effectively with load balancing services.