Detection Is Better Than Cure: A Cloud Incidents Perspective
Author:
Affiliation:
1. Microsoft, Bangalore, India
2. Microsoft, Beijing, China
3. Microsoft, Redmond, USA
4. Microsoft, Redmond, United States
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3611643.3613898
Reference49 articles.
1. Mining association rules between sets of items in large databases
2. Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
3. Ahmed Alquraan , Hatem Takruri , Mohammed Alfatafta , and Samer Al-Kiswany . 2018 . An Analysis of {Network-Partitioning} Failures in Cloud Systems . In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) . 51-68. https://www.usenix.org/system/files/osdi18-alquraan.pdf Ahmed Alquraan, Hatem Takruri, Mohammed Alfatafta, and Samer Al-Kiswany. 2018. An Analysis of {Network-Partitioning} Failures in Cloud Systems. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). 51-68. https://www.usenix.org/system/files/osdi18-alquraan.pdf
4. Taking the Blame Game out of Data Centers Operations with NetPoirot
5. Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services
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