A large company wants to give globally located developers separate, limited-size, managed PostgreSQL databases for development. The databases will be low-volume and are needed only while developers are actively working. Which solution will meet these requirements MOST cost-effectively?
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Correct answer: Create an Amazon Aurora Serverless cluster. Develop an AWS Service Catalog product to launch databases in the cluster with the default capacity settings. Grant the developers access to the product..
Why this is the answer
Aurora Serverless is the most cost-effective solution for low-volume, intermittent workloads because it automatically starts up, scales capacity, and shuts down based on application demand, incurring charges only when active. Using AWS Service Catalog allows developers to provision these databases within defined constraints, ensuring compliance and controlled access without manual oversight. The default capacity settings are suitable for development environments. Launching separate Aurora instances and manually starting/stopping them is less efficient and prone to human error. Developing a Service Catalog product for standard Aurora instances still incurs costs for provision
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