Which solution will solve this problem with the LEAST operational effort?
Create a road replica for the database. Query the replica database instead of the primary database.
Migrate the data to an Amazon DynamoDB database.
Sot a limit to the Lambda function’s concurrency.
Create a proxy in Amazon RDS Proxy. Query the proxy instead of the database.
Explanations:
Creating a read replica may help distribute read traffic, but it does not directly address the issue of too many connections to the primary database. This approach requires additional operational overhead and does not address connection management for the Lambda function.
Migrating to Amazon DynamoDB may be an option for some workloads but requires significant application changes. It does not address the specific issue of managing database connections in a MySQL environment.
Setting a limit to the Lambda function’s concurrency might reduce the number of database connections, but it is not the most efficient solution. The Lambda function may still fail under high load, and this would require manual tuning to balance between concurrency and database connection limits.
Amazon RDS Proxy acts as a connection pooler for Amazon Aurora, automatically managing database connections. It reduces the number of connections directly to the database, thus solving the issue with minimal operational effort and without requiring significant changes to the application.
From what I’ve seen, the answer is:
Create a proxy in Amazon RDS Proxy. Query the proxy instead of the database.