Towards Observability for Machine Learning Pipelines
Summary: Introduce MLTRACE, a platform-agnostic observability layer that unifies telemetry, provenance, metrics and lineage across heterogeneous ML pipeline stages to enable cross-stage root-cause analysis. Prototype shows unified tracing eases debugging of unexpected outputs and quality regressions in production. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Shreya Shankar (University of California Berkeley)
- 2. Aditya Parameswaran (University of California Berkeley)
BibTeX Citation
@inproceedings{shankar_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Towards Observability for Machine Learning Pipelines}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Shankar, Shreya and Parameswaran, Aditya},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,245 | Towards Observability for Production Machine Learning Pipelines | 2022 | VLDB | 5.2992628e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,670 | MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis | 2018 | SIGMOD | 0.00010045615 |
| 1,937 | Elastic Machine Learning Algorithms in Amazon SageMaker | 2020 | SIGMOD | 9.4524758e-05 |
| 3,614 | Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML | 2020 | CIDR | 7.2568185e-05 |
| 3,947 | Overton: A Data System for Monitoring and Improving Machine-Learned Products | 2020 | CIDR | 7.0040437e-05 |
| 4,518 | MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines | 2021 | SIGMOD | 6.6474737e-05 |
| 5,404 | Dagger: A Data (not code) Debugger | 2020 | CIDR | 6.2294192e-05 |
| 6,525 | Hindsight Logging for Model Training | 2021 | VLDB | 5.8514923e-05 |
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