Jordan Daly

Title: Jordan Daly and Machine-Learning-Based Circuit Breaker Candidates

Introduction

Jordan Daly is an inventor associated with Mullingar, Ireland, and Dell Products Inc. His patent work addresses the use of machine learning to identify where circuit breaker patterns may be useful in cloud applications.

Latest Patents

The provided information lists one patent for Daly: Determining Candidates for Circuit Breaker Patterns in Cloud Applications Using Machine Learning Techniques. The invention describes obtaining consumption-related data from cloud applications and using some of that data to train a machine-learning classifier. The classifier processes production-related data to determine the composition of cloud-based application programming interfaces. Based on that composition, the system identifies potential locations for circuit breaker patterns and performs automated actions related to those candidates. The patent describes methods, apparatus, and processor-readable storage media for carrying out this process. Daly is credited with 1 patent in the information provided.

Career Highlights

Daly’s listed patent connects machine learning with cloud application reliability. By identifying API portions that may benefit from circuit breaker patterns, the described approach aims to support automated analysis and implementation decisions. The supplied information associates him with Dell Products Inc.

Collaborations

The provided information names Derek O’Keeffe and David Ahern as Daly’s coworkers. It does not specify their roles in the patent or describe particular collaborations.

Conclusion

Jordan Daly’s listed invention applies machine learning to identify potential circuit breaker implementations in cloud application programming interfaces, reflecting a focus on automated tools for cloud software reliability.