Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

Build practical skills to design, optimize, and manage high-performance relational databases using Google Cloud AlloyDB. This course introduces AlloyDB fundamentals, including its PostgreSQL compatibility and support for hybrid transactional and analytical processing (HTAP) workloads. You will learn how to analyze database capacity and usage patterns, design highly available and resilient database architectures, and implement secure connectivity and access management strategies. The course also covers monitoring, troubleshooting, and backup and recovery techniques to ensure database reliability and operational continuity. In addition, you will explore how to optimize database cost and performance, automate database operations, and design data migration strategies for moving workloads to AlloyDB. Through hands-on demonstrations, you will evaluate machine configurations, compare deployment strategies, monitor database metrics, and perform backup and restore operations. By the end of this course, you will be able to design, deploy, and manage production-ready AlloyDB databases using Google Cloud best practices. Who should take this course? Cloud engineers, database administrators, DevOps professionals, developers, and solution architects working with relational databases and cloud-native applications.

Syllabus

AlloyDB: Architecture and Reliability on Google Cloud

Welcome to Week 1 of the course. This week focuses on understanding the architecture and reliability foundations of Google Cloud AlloyDB. You will begin by exploring how to plan database capacity and usage for AlloyDB workloads and understand the concept of HTAP (Hybrid Transactional and Analytical Processing) databases. You will also learn how to evaluate high availability and disaster recovery strategies to ensure database resilience. Additionally, this week covers how applications connect to AlloyDB databases, along with important database connectivity and access management considerations. You will also explore how to evaluate appropriate database solutions available on Google Cloud. Finally, you will learn how to configure database monitoring and troubleshooting mechanisms and design backup and recovery solutions to ensure database reliability and operational stability. By the end of this week, you will understand how to design reliable AlloyDB database architectures in Google Cloud environments.

AlloyDB: Performance and Scalability on Google Cloud

Welcome to Week 2 of the course. This week focuses on optimizing and scaling AlloyDB databases to support real-world application workloads. You will begin by learning how to optimize database cost and performance in Google Cloud and explore solutions to automate database management tasks. Next, you will learn how to design and implement database migration strategies and deploy scalable and highly available AlloyDB databases. The week also includes practical demonstrations where you will explore machine configuration options, deployment strategies, monitoring database metrics, and performing backup and restore operations in AlloyDB. By the end of this week, you will understand how to optimize, scale, and manage AlloyDB databases efficiently in Google Cloud environments.