This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Atlassian Corporation Pty Ltd., Atlassian Inc.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2023
Title: Francis Rangel Da Silva: Innovator in Data Observability
Introduction
Francis Rangel Da Silva is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of data observability through his innovative patent. His work focuses on improving mechanisms for managing event-structured observability data in federated networks and database platforms.
Latest Patents
Francis holds a patent for "Apparatuses, methods, and computer program products for improved structured event-based data observability." This patent provides mechanisms for enhanced data observability, enabling better analysis of data-driven errors and the storage of associated data for observability processing actions. The embodiments of this patent are designed to receive data streams representing operational engagement of event-structured services and generate observability data using an event processing pipeline. Furthermore, the patent outlines methods for storing this data in observability data repositories and initiating event-driven observability actions based on the generated data.
Career Highlights
Throughout his career, Francis has worked with prominent companies, including Atlassian Corporation Pty Ltd. and Atlassian Inc. His experience in these organizations has contributed to his expertise in data observability and event processing technologies.
Collaborations
Some of his notable coworkers include Alexander Else and James C Mackie. Their collaboration has likely played a role in advancing the innovative projects they have worked on together.
Conclusion
Francis Rangel Da Silva is a distinguished inventor whose work in data observability has the potential to significantly enhance the way organizations manage and analyze event-structured data. His contributions are paving the way for improved data-driven decision-making processes.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile