Which migration solution will meet these requirements?
Use native MySQL tools to migrate the database to Amazon RDS for MySQL. Configure elastic storage scaling.
Migrate the database to Amazon Redshift by using the mysqldump utility. Turn on Auto Scaling for the Amazon Redshift cluster.
Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Aurora. Turn on Aurora Auto Scaling.
Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon DynamoDB. Configure an Auto Scaling policy.
Explanations:
While migrating to Amazon RDS for MySQL is a valid option, native MySQL tools may not provide the same level of automation and flexibility as AWS DMS, especially for ongoing replication or large datasets. Elastic storage scaling is also not available in RDS for MySQL in the same way as in Aurora.
Migrating to Amazon Redshift is not suitable as it is primarily a data warehousing solution rather than a transactional database. Using mysqldump for migration may not adequately handle ongoing changes and data consistency. Furthermore, Redshift does not support Auto Scaling in the same manner as Aurora.
AWS DMS is designed for migrating databases with minimal downtime and supports schema conversion. Migrating to Amazon Aurora ensures compatibility with MySQL applications and allows for Aurora Auto Scaling, which adjusts capacity automatically based on demand.
Migrating to Amazon DynamoDB changes the database model from relational to NoSQL, which would break compatibility with the existing applications. While DynamoDB supports Auto Scaling, it does not meet the requirement of maintaining compatibility with the company’s applications.
I rate that the answer is:
Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Aurora. Turn on Aurora Auto Scaling.
As I recall, the answer is:
Use AWS Database Migration Service (AWS DMS) to migrate the database to Amazon Aurora. Turn on Aurora Auto Scaling.