Which solution will meet these requirements MOST cost-effectively?
Configure each development environment with its own Amazon Aurora PostgreSQL database
Configure each development environment with its own Amazon RDS for PostgreSQL Single-AZ DB instances
Configure each development environment with its own Amazon Aurora On-Demand PostgreSQL-Compatible database
Configure each development environment with its own Amazon S3 bucket by using Amazon S3 Object Select
Explanations:
Amazon Aurora is designed for high availability and performance, making it more expensive than necessary for development environments that are only used half a day. Its costs may not justify the benefits for environments that do not require continuous uptime.
While Amazon RDS for PostgreSQL Single-AZ DB instances are more cost-effective than Aurora, having separate DB instances for each developer may still incur significant costs, especially since they would be underutilized for half the workday.
Amazon Aurora On-Demand PostgreSQL-Compatible databases can be more cost-effective for sporadic use because they charge based on actual usage. Developers can spin up instances when needed and avoid costs during idle times, aligning well with the half-day usage.
Amazon S3 buckets with Object Select are not suitable for PostgreSQL database schemas, as S3 is a storage service and does not provide database functionality. This option does not meet the requirement for a database solution.