AWS Database Services for Solutions Architects

Choosing the right database strategy is one of the most critical decisions a solutions architect must make when designing cloud infrastructure. To build resilient and high-performing applications, you need a deep, conceptual understanding of how different cloud databases function, scale, and recover from failures. This course helps you master key cloud database paradigms, guiding you through relational, non-relational, and caching solutions. You will explore real-world architecture patterns, learn how to balance performance against cost, and understand how to integrate modern database security and high-availability practices. What you'll learn: - Understand the core differences between relational, NoSQL, and in-memory database engines - Configure high availability and disaster recovery using RDS multi-AZ deployments and read replicas - Design scalable, low-latency data models using DynamoDB partition keys and global tables - Optimize database performance and cost using Aurora serverless and auto-scaling configurations - Implement caching strategies with ElastiCache to reduce database load and improve response times - Apply modern security best practices, including encryption at rest, encryption in transit, and IAM database authentication This course begins with foundational database concepts and terminology before diving into detailed architecture designs, storage types, and migration strategies. Through clear, structured text explanations and architectural scenarios, you will build the decision-making skills needed to select and deploy the perfect database solution for any workload. This course is designed for beginner cloud engineers, aspiring solutions architects, and system administrators looking to solidify their database knowledge. No advanced cloud experience is required, though a basic familiarity with cloud computing concepts is helpful. Start reading today to confidently architect scalable and secure database solutions in the cloud.