Which solution will meet these requirements?
Increase the size of the DB instance to an instance type that has more available memory.
Modify the DB instance to be a Multi-AZ DB instance. Configure the application to write to all active RDS DB instances.
Modify the API to write incoming data to an Amazon Simple Queue Service (Amazon SQS) queue. Use an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database.
Modify the API to write incoming data to an Amazon Simple Notification Service (Amazon SNS) topic. Use an AWS Lambda function that Amazon SNS invokes to write data from the topic to the database.
Explanations:
Increasing the size of the DB instance may improve performance, but it does not address the issue of fluctuating traffic and high write volumes. It may not effectively minimize the number of connections or prevent timeout errors during heavy loads.
A Multi-AZ DB instance provides high availability and failover capabilities, but it does not reduce the number of connections or manage high write traffic effectively. The application would still face timeout issues if the write load is too high.
Writing data to an Amazon SQS queue decouples the API from the database, allowing it to handle bursts of incoming data without timeout errors. AWS Lambda can process messages from the queue and write them to the database, ensuring data is not lost during heavy traffic. This solution minimizes direct connections to the database.
While using Amazon SNS for messaging is a viable option, it is not designed for ensuring ordered processing of messages and handling large volumes of writes as effectively as SQS. Additionally, there may be complexities in managing the Lambda invocations and ensuring data integrity.
To the best of my knowledge, the answer is:
Modify the API to write incoming data to an Amazon Simple Queue Service (Amazon SQS) queue. Use an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database.