Abstract: A system is disclosed that includes capabilities for generating a Machine Learning (ML) inference pipeline for deploying an ML model using artifacts received from one or more training stages in an ML training pipeline. The system receives one or more artifacts for one or more training stages in a set of training stages in a ML training pipeline associated with an ML process. The system then identifies one or more inference stages in an ML inference pipeline that correspond to the one or more training stages in the ML training pipeline. For each inference stage that corresponds to a training stage, the system associates the artifact received for the training stage with the inference stage. The system then generates the ML inference pipeline comprising the inference stages and their associated artifacts, where the artifacts include the artifacts received for the training stages in the ML training pipeline.

Abstract: Authentication and authorization can be performed with a bundled token, which encapsulates two or more security tokens in a single security token. The bundled token can be supplied in response to a request for a token from a token service, for example. Subsequently, the bundled token can be sent in conjunction with a request for resource access, wherein more than one token is required to access the resource.