System and methods for providing failover readiness prediction

A system for providing failover readiness prediction, comprising:

• a computer system comprising one or more processors programmed with computer program instructions which, when executed, cause the computer system to:
• during a training stage:
• select a first set of data from a database of historical failover data based at least in part on feature importance within the historical failover data;
• label encode the first set of data;
• tokenize the first set of data;
• convert the first set of data into a set of dense vector representations;
• and
• train a classification model using the set of dense vector representations;
• during a predication stage:
• receive a request to predict a failover outcome for a given failover process;
• assess a status of concurrent system conditions;
• and
• predict at least one of a success probability of the failover process, or an expected time for at least one of a plurality of steps in the failover process, based at least in part on the classification model and the status of the concurrent system conditions.

A non-transitory computer-readable media comprising instructions that, when executed by one or more processors, cause operations comprising:

• during a training stage:
• selecting a first set of data from a database of historical failover data based at least in part on feature importance within the historical failover data;
• label encoding the first set of data;
• tokenizing the first set of data;
• converting the first set of data into a set of dense vector representations;
• and
• training a classification model using the set of dense vector representations;
• during a predication stage:
• receiving a request to predict a failover outcome for a given failover process;
• assessing a status of concurrent system conditions;
• and
• predicting at least one of a success probability of the failover process, or an expected time for at least one of a plurality of steps in the failover process, based at least in part on the classification model and the status of the concurrent system conditions.