Log Enrichment
Log Enrichment is a log management process that enhances raw log data by appending contextual metadata—such as user identity, geolocation, system state, or event severity—from external sources to improve the interpretability, correlation, and analytical utility of logs within containerized environments.
2
Publications
99
Citations
27
Authors
9
Institutions
Publications per year
2017–2026
1
2
1–2 of 2
27
1
h-index
1
h-index
University of California, San Francisco, United States
1 publications · 24 citations
1
h-index
1
h-index
1
h-index
1–5 of 27
9

University of Toronto
Toronto, Canada
1 h-index
1 publications
24 citations
Bioinformatics Institute
Singapore, Singapore
1 h-index
1 publications
24 citations

Vanderbilt University
Nashville, United States
1 h-index
2 publications
48 citations
QB3
San Francisco, United States
1 h-index
8 publications
192 citations
BD Technologie (United States)
Durham, United States
1 h-index
4 publications
300 citations
BD Biosciences (United States)
San Jose, United States
1 h-index
2 publications
150 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
9 publications
675 citations
University of California, San Francisco
San Francisco, United States
1 h-index
7 publications
168 citations
1–8 of 9
JCIM · 1 publications · 24 citations
1
h-index
1 publications · 75 citations
1
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1–2