Emmanuel Manousack Tran

Title: Emmanuel Manousack Tran: Inventor in Monitoring Metrics

Introduction

Emmanuel Manousack Tran is an inventor based in Paris, France, associated with Datadog, Inc. His patent work addresses the challenge of avoiding duplicate counts when generating metrics from monitoring events.

Latest Patents

Tran is named on one patent, “Duplication Avoidance for Mutable Event Based Metrics.” The invention describes a system that assigns unique identifiers to monitoring events matching a metric definition. For smaller sets of identifiers, the system uses a hash set to check for duplicates. When the set exceeds a predetermined threshold, it adds identifiers to a probabilistic data structure, such as a scalable Bloom filter, to continue detecting duplicates efficiently.

Career Highlights

Tran’s patent reflects work on reliable metric generation from events received from endpoints, including web browsers and mobile applications. The approach adapts its deduplication method as the number of identifiers grows.

Collaborations

Tran’s listed coworkers include Karim Bogtob and Amina Bouabdallah. His company affiliation is Datadog, Inc.

Conclusion

Emmanuel Manousack Tran’s patented work focuses on scalable deduplication techniques that help prevent monitoring events from being counted more than once.