Determining user key-value storage needs from example queries

A method to determine customer key-value storage needs through example queries in transfers between cloud computing environments, the method comprising:

• comparing properties of queries submitted to an origin datacenter to properties of training queries to determine the training queries' representativeness of the queries submitted to the origin datacenter;
• increasing a number of the training queries based on the comparison such that the training queries are statistically representative of the queries submitted to the origin datacenter;
• and
• training new indices for a target datacenter based on the training queries without transfer of readable data from the training queries to the target datacenter.

A system to determine customer key-value storage needs through example queries in transfers between cloud computing environments, the system comprising:

• an origin datacenter comprising one or more servers, at least one of the servers configured to:
• compare properties of queries submitted to the origin datacenter to properties of training queries to determine the training queries representativeness of the queries submitted to the origin datacenter;
• and
• increase a number of the training queries based on the comparison such that the training queries are statistically representative of the queries submitted to the origin datacenter;
• and
• a target datacenter comprising one or more servers, at least one of the servers configured to:
• train new indices for the target datacenter based on the training queries without transfer of readable data from the training queries to the target datacenter.

A datacenter to determine customer key-value storage needs through example queries in transfers between cloud computing environments, the datacenter comprising:

• one or more servers, wherein at least one of the servers is configured to execute a training module, the training module configured to:
• compare properties of queries submitted to an origin datacenter to properties of training queries to determine the training queries representativeness of the queries submitted to the origin datacenter;
• increase a number of the training queries based on the comparison such that the training queries are statistically representative of the queries submitted to the origin datacenter;
• train and test new indices for a target datacenter based on the training queries without transfer of readable data from the training queries to the target datacenter;
• and
• in response to receiving a request for customer migration, activating an index database at the target datacenter with the new indices.