What you'll learn

Selecting an inappropriate database architecture can lead to unnecessary downtime, data loss, and increased operational complexity. In this course, Google Cloud Professional Database Engineer: Deploying Scalable and Highly Available Databases, you will develop the architectural knowledge required to design resilient, scalable, and production-ready database solutions in Google Cloud while preparing for the Google Cloud Professional Database Engineer certification. First, you'll learn how to translate business availability requirements into technical architecture decisions by evaluating Recovery Time Objective (RTO), Recovery Point Objective (RPO), failure domains, and deployment topologies across Google Cloud database services. Next, you'll explore business continuity and disaster recovery strategies by examining backup planning, Point-in-Time Recovery (PITR), cross-region replication, failover validation, and disaster recovery design. Finally, you'll focus on operational excellence by learning how to automate database provisioning using Infrastructure as Code principles, evaluate scaling strategies, implement monitoring and alerting practices, and apply production-ready operational processes that improve reliability and maintainability. When you're finished with this course, you'll have the knowledge and decision-making skills needed to design, deploy, scale, and operate highly available database solutions in Google Cloud while confidently approaching architecture-based scenarios found in the Google Cloud Professional Database Engineer certification exam.