Oracle International Corporation

Long Yang

Amit Ganesh

Dustin R Garvey

Uri Shaft

Sampanna Shahaji Salunke

Sumathi Gopalakrishnan

Timothy Mark Frazier

Shriram Krishnan

Prasad Ravuri

Techniques for artificial intelligence driven configuration management are described herein. In some embodiments, a machine-learning process determines a feature set for a plurality of deployments of a software resource. Based on varying values in the feature set, the process clusters each of the plurality of deployments into a cluster of a plurality of clusters. Each cluster of the plurality of clusters comprises one or more nodes and each node of the one or more nodes corresponds to at least a subset of values of the feature set that are detected in at least one deployment of the plurality of deployments of the software resource. The process determines a representative node for each cluster of the plurality of clusters. An operation may be performed based on the representative node for at least one cluster.

Artificial intelligence driven configuration management

Growing community of inventors

Redwood City, CA, United States of America

Long Yang