GCP Compute and Load Balancing for Azure Professionals

Ready to expand your multi-cloud expertise and map your existing Azure knowledge to GCP? As organizations increasingly adopt multi-cloud strategies, translating your skills between platforms is one of the most valuable capabilities you can develop. This text-based course helps you bridge the gap quickly, mapping Azure compute and network services directly to their GCP equivalents. You will understand how to design, configure, and manage scalable, highly available architectures on GCP using your familiar Azure mental model. What you'll learn: - Compare Azure Virtual Machines with GCP Compute Engine instances and configuration options - Map Azure Load Balancers and Application Gateways to GCP Cloud Load Balancing solutions - Implement autoscaling policies to handle dynamic traffic demands efficiently - Configure secure, private connections using modern Zero-Trust concepts and Identity-Aware Proxy - Deploy containerized workloads using serverless GCP options alongside traditional virtual machines - Understand basic infrastructure-as-code patterns to provision resources across platforms You will start with core terminology alignment, mapping resource hierarchies and basic virtual machine concepts. From there, you will progress through advanced traffic routing, scalability configurations, and secure access management, all explained through clear side-by-side technical comparisons and configuration examples. This course is designed for cloud architects, systems administrators, and engineers who already understand Azure fundamentals and want a streamlined path to learning GCP compute and scaling. No prior GCP experience is required. Start reading today to unlock your potential as a multi-cloud professional.