In this lesson, we’ll cover how to optimize the cost and performance of AWS database services, including Amazon RDS, Amazon Aurora, Amazon DynamoDB, and Amazon Redshift. You’ll learn how to compare pricing models, choose the most cost-effective configurations, and apply strategies that reduce spend while maintaining performance, reliability, and compliance.
This lesson is for cloud engineers, architects, database administrators, and DevOps professionals who want to manage AWS database costs more effectively without sacrificing availability or scalability.
Compare the cost structures of Amazon RDS and Aurora to identify the most cost-effective option for your workloads
Choose the right DynamoDB capacity mode and table class for predictable and unpredictable workloads
Optimize Amazon Redshift deployment for both cost and performance using serverless or provisioned models
Apply best practices for storage, backup, and data transfer cost management across AWS database services
To get the most out of this lesson, you should have a basic understanding of AWS database concepts and familiarity with the services covered: Amazon RDS, Aurora, DynamoDB, and Redshift.