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AutoTSG: Learning and Synthesis for Incident Troubleshooting. (arXiv:2205.13457v1 [cs.SE])
May 27, 2022, 1:10 a.m. | Manish Shetty, Chetan Bansal, Sai Pramod Upadhyayula, Arjun Radhakrishna, Anurag Gupta
cs.LG updates on arXiv.org arxiv.org
Incident management is a key aspect of operating large-scale cloud services.
To aid with faster and efficient resolution of incidents, engineering teams
document frequent troubleshooting steps in the form of Troubleshooting Guides
(TSGs), to be used by on-call engineers (OCEs). However, TSGs are siloed,
unstructured, and often incomplete, requiring developers to manually understand
and execute necessary steps. This results in a plethora of issues such as
on-call fatigue, reduced productivity, and human errors. In this work, we
conduct a large-scale …
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