Machine learning for database migration source

A computing device to maintain data store performances upon transfer between cloud computing environments, the computing device comprising:

• a memory configured to store instructions;
• and
• a processing unit configured to execute a migration module in conjunction with the instructions, wherein the migration module is configured to:
• submit data requests to an original data store at a source datacenter;
• submit the data requests to a filter to record and analyze, wherein the filter is further configured to abstract each request to the original data store;
• and
• create a new key value structure at a new data store at a target datacenter based on results of the requests to the original data store and analyses by the filter that employs machine learning;
• assign a score to each original data store performance and each new data store performance;
• collect scores of original data store performances and scores of new data store performances for a query and a corresponding key value structure at the new data store;
• compare the scores of the original data store performances and the scores of the new data store performances;
• and
• in response to a determination that the scores of the original data store performances are not substantially equal to the scores of the new data store performances, discard the corresponding key value structure.

A non-transitory computer-readable storage medium having instructions stored thereon to maintain data store performances upon transfer between cloud computing environments, the instructions comprising:

• submitting data requests to an original data store at a source datacenter;
• submitting the data requests to a filter to record and analyze;
• creating a new key value structure at a new data store at a target datacenter based on results of the requests to the original data store and analyses by the filter that employs machine learning;
• and
• assigning a score to each original data store performance and each new data store performance;
• collecting scores of original data store performances and scores of new data store performances for a query and a corresponding key value structure at the new data store;
• comparing the scores of the original data store performances and the scores of the new data store performances;
• and
• in response to a determination that the scores of the original data store performances are not substantially equal to the scores of the new data store performances, discarding the corresponding key value structure.