Google Cloud Compute and Scalability for AWS Professionals

Transitioning from one major cloud provider to another does not mean starting from scratch. If you already understand AWS compute and scaling, you can quickly master the equivalent services on Google Cloud by mapping your existing knowledge. This text-only course provides a direct, conceptual bridge between AWS and Google Cloud, helping you rapidly expand your multi-cloud capabilities. You will learn how to translate your AWS expertise—such as EC2, Auto Scaling, and ELB—into Google Cloud equivalents like Compute Engine, Managed Instance Groups, and Cloud Load Balancing. By focusing on architectural comparisons and hands-on conceptual mapping, you will quickly gain the skills needed to design, deploy, and scale robust applications on Google Cloud. What you'll learn: - Compare AWS and Google Cloud infrastructure terminology and core compute concepts - Configure Google Cloud Compute Engine virtual machines using your existing EC2 knowledge - Implement automated scaling with Managed Instance Groups and autoscaling policies - Distribute traffic efficiently using Google Cloud Load Balancing solutions - Apply modern Infrastructure as Code concepts to deploy multi-cloud resources - Understand fundamental security, identity, and access management differences between the platforms We begin with a foundational side-by-side comparison of terminology and global infrastructure. Next, we dive deep into virtual machine provisioning, scaling mechanisms, and load balancing strategies, concluding with practical architectural patterns for hybrid and multi-cloud deployments. This course is designed for cloud architects, systems administrators, and DevOps engineers who already have a foundational understanding of AWS and want to expand their skillset to Google Cloud. No prior Google Cloud experience is required. Start reading today to expand your multi-cloud expertise and confidently design scalable systems on Google Cloud.