Abstract
False alerts are a large problem in the observability space. Noisy alerts can be caused by a variety of factors but can be primarily caused due to incorrect alert configurations. Presented herein are techniques through which personalized recommendations can be provided for a particular enterprise regarding observability alert configurations that are based alerts of similarly situated enterprises. The recommendations may be applied only on explicit approval from the particular enterprise. Techniques presented herein may also enable enterprises to set up customized alerts and detect problems in their environments without a lot of configurations.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Yash, Shubhankar; Dhar, Abhishek; Tiwari, Chakresh; Sah, Shiva; and Hiranandani, Sonali, "TECHNIQUES TO PROVIDE A RECOMMENDATION ENGINE FOR ALERT CONFIGURATIONS", Technical Disclosure Commons, (March 13, 2023)
https://www.tdcommons.org/dpubs_series/5734