Reliability Analytics for Cloud Based Distributed Databases
Summary: RADD is a reliability analytics pipeline for cloud-based distributed databases, delivering real-time availability summaries and minute-by-minute RCA. It uses entropy-based event correlation to infer causality, tracks cross-deploy KPIs, and flags regressions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mathieu B. Demarne (Microsoft)
- 2. Jim Gramling (Microsoft)
- 3. Tomer Verona (Microsoft)
- 4. Miso Cilimdzic (Microsoft)
BibTeX Citation
@inproceedings{demarne_sigmod20,
title = {{Reliability Analytics for Cloud Based Distributed Databases}},
author = {Demarne, Mathieu B. and Gramling, Jim and Verona, Tomer and Cilimdzic, Miso},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3386130},
url = {https://dl.acm.org/doi/10.1145/3318464.3386130},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,998 | Toto - Benchmarking the Efficiency of a Cloud Service | 2021 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,089 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.0635188e-05 |
| 2,952 | Constant Time Recovery in Azure SQL Database | 2019 | VLDB | 7.8143358e-05 |
| 5,925 | GRANO: Interactive Graph-based Root Cause Analysis for Cloud-Native Distributed Data Platform | 2019 | VLDB | 5.9417342e-05 |
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