Computer-based systems configured for machine learning assisted data replication and methods of use thereof

A system comprising:

• one or more processors;
• and
• a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, cause the one or more processors to:
• obtain a trained replication machine learning model that is trained to;
• detect at least one object in a bucket at a source cloud for replication,
• analyze historical replication failure data associated with a plurality of replication failures,
• and
• determine a timing for replicating the at least one object;
• and
• a replication tool utilizing the trained replication machine learning model to:
• identify at least one existing object in the bucket for replication,
• predict a replication failure based on the historical data,
• determine a commencing time to replicate the at least one existing object based on the replication failure,
• capture at least one snapshot of the bucket based on the identification of the at least one existing object, the at least one snapshot comprising information related to at least one of:
• the at least one existing object, metadata of the at least one existing object, or an access control list (ACL) of the at least one existing object,
• generate at least one new object based on the at least one snapshot of the bucket and the replication failure, and
• replicate, when the replication failure occurs, the at least one new object to a destination cloud according to the determined commencing time, the destination cloud being hosted at a cross-region storage.

A non-transitory computer readable storage medium for tangibly storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining the steps of:

• obtaining, by one or more processors, a trained replication machine learning model that is trained to;
• detect at least one object in a bucket at a source cloud for replication,
• analyze historical data associated with replication failure,
• and a timing for replicating the at least one object;
• utilizing, by the one or more processors and in response to the bucket being configured with a cross region replication (CRR) service, a replication tool, comprising the trained replication machine learning model, to:
• identify at least one existing object in the bucket for replication,
• predict a replication failure based on the historical data,
• determine a commencing time to replicate the at least one existing object based on the replication failure,
• capture at least one snapshot of the bucket based on the identification of the at least one existing object, the at least one snapshot comprising information related to at least one of:
• the at least one existing object, metadata of the at least one existing object, or an access control list (ACL) of the at least one existing object,
• generate at least one new object based on the snapshot of the bucket and the replication failure, and
• replicate, when the replication failure occurs, the at least one new object to a destination cloud according to the determined commencing time, the destination cloud being hosted at a cross-region storage.