Abstract: Methods, systems, and computer-readable storage media for providing a set of heuristics representative of training data that is to be used to process a ML model through a training pipeline, the training pipeline including multiple phases, determining a set of time estimates by providing the set of heuristics as input to a training heuristics model that provides the set of time estimates as output, each time estimate in the set of time estimates indicating an estimated duration of a respective phase of the training pipeline, receiving, during processing of the ML model through the training pipeline, progress data representative of a progress of processing of the ML model, determining a set of status estimates including a status estimate for each phase of the training pipeline based on the progress data, and transmitting the set of time estimates and the set of status estimates for display.

Abstract: Methods, systems, and computer-readable storage media for receiving a first set of predictions generated by a ML model during execution of a training pipeline to train the ML model, each prediction in the first set of predictions being associated with a confidence, determining a set of confidence bins based on confidences of the first set of predictions, for each confidence bin in the set of confidence bins, providing an accuracy, processing the set of confidence bins and accuracies through a regression model to provide one or more regressions, each regression representing a confidence-to-accuracy relationship, defining a set of confidence thresholds based on at least one regression of the one or more regressions, and during an inference phase, applying the set of confidence thresholds to selectively filter predictions from a second set of predictions generated by the ML model.

Abstract: A hash value is determined based on a payload of a message associated with a first system, the hash value related to a message flow instance that includes the message, wherein the payload associates the message with the message flow instance. Upon sending the message to a second system, generating a first event corresponding to the message, wherein the first event includes the hash value. The first event is sent to a monitoring system. The monitoring system receives a second event including the hash value, wherein the hash value included in the second event is determined in association with the second system. Based on the hash value, a relation is determined to associate the first event and the second event with the message flow instance. The message flow instance is reconstructed based on the determined relation.

Abstract: A hash value is determined based on a payload of a message associated with a first system, the hash value related to a message flow instance that includes the message, wherein the payload associates the message with the message flow instance. Upon sending the message to a second system, generating a first event corresponding to the message, wherein the first event includes the hash value. The first event is sent to a monitoring system. The monitoring system receives a second event including the hash value, wherein the hash value included in the second event is determined in association with the second system. Based on the hash value, a relation is determined to associate the first event and the second event with the message flow instance. The message flow instance is reconstructed based on the determined relation.

Abstract: A hash value is determined based on a payload of a message associated with a first system, the hash value related to a message flow instance that includes the message, wherein the payload associates the message with the message flow instance. Upon sending the message to a second system, generating a first event corresponding to the message, wherein the first event includes the hash value. The first event is sent to a monitoring system. The monitoring system receives a second event including the hash value, wherein the hash value included in the second event is determined in association with the second system. Based on the hash value, a relation is determined to associate the first event and the second event with the message flow instance. The message flow instance is reconstructed based on the determined relation.