Seattle, WA, United States of America

Justin Thomas Pfifer


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2016-2019

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2 patents (USPTO):Explore Patents

Title: Innovations by Justin Thomas Pfifer

Introduction

Justin Thomas Pfifer is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of computing resource monitoring. With a total of 2 patents, Pfifer's work focuses on enhancing the efficiency and reliability of data processing systems.

Latest Patents

Pfifer's latest patents include "Roll back of scaled-out data" and "Scale-out of data that supports roll back." The first patent describes a computing resource monitoring service that detects issues with processing metrics data. It involves storing metrics data in observation journals and configuring a map reduce processor to select prior versions of an index file. This innovation allows for the identification of newly unprocessed observation journals, generating new data objects and supporting future rollbacks of metrics data. The second patent outlines a similar process where a computing resource monitoring service receives metrics data from customer applications. It details how a map reduce processor processes unprocessed observation journals to generate new index files, ensuring the system can efficiently manage and roll back metrics data.

Career Highlights

Pfifer is currently employed at Amazon Technologies, Inc., where he continues to innovate in the field of data processing. His work has contributed to the development of advanced computing resource monitoring services that enhance the performance and reliability of data management systems.

Collaborations

Some of Pfifer's notable coworkers include Brian Gregory Long and Sumit Lohia, who collaborate with him on various projects within Amazon Technologies, Inc.

Conclusion

Justin Thomas Pfifer is a notable inventor whose work in computing resource monitoring has led to significant advancements in data processing technologies. His contributions are shaping the future of efficient data management systems.

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