Which solution will meet these requirements?
Configure provisioned concurrency for the Lambda function. Modify the database to be a global database in multiple AWS Regions.
Use Amazon RDS Proxy to create a proxy for the database. Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint.
Create a read replica for the database in a different AWS Region. Use query string parameters in API Gateway to route traffic to the read replica.
Migrate the data from Aurora PostgreSQL to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS). Modify the Lambda function to use the DynamoDB table.
Explanations:
Provisioned concurrency improves Lambda performance but does not address the high connection issue with the database. Making the database global may complicate the architecture and does not solve the immediate problem of connection management.
Amazon RDS Proxy helps manage database connections efficiently, reducing the number of open connections to the database and preventing timeouts. This is a minimal change that directly addresses the issue.
Creating a read replica in a different region would not resolve the connection issues for the primary database. It could introduce latency and complicate traffic routing without directly addressing the root cause of high connection counts.
Migrating to DynamoDB is a significant change that requires substantial application modifications. It does not directly resolve the high connection issue with the existing Aurora database, making it an impractical solution given the requirement for minimal changes.
I think the answer is:
Use Amazon RDS Proxy to create a proxy for the database. Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint.
I measure that the answer is:
Use Amazon RDS Proxy to create a proxy for the database. Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint.