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To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes and improve outcomes in this domain. We analyzed 183 research articles published between January 2020 and December 2024 to answer four key research questions (RQs). In RQ1, we examine the diverse failure data sources utilized, including advanced LLM-based processing techniques for legacy data and the incorporation of new data sources enabled by LLMs. RQ2 explores the evolution of AIOps tasks, highlighting the emergence of novel tasks and the publication trends across these tasks. RQ3 investigates the various LLM-based methods applied to address AIOps challenges. Finally, RQ4 reviews evaluation methodologies tailored to assess LLM-integrated AIOps approaches. Based on our findings, we discuss the state-of-the-art advancements and trends, identify gaps in existing research, and propose promising directions for future exploration.<\/jats:p>\n          <jats:p\/>","DOI":"10.1145\/3746635","type":"journal-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T07:11:23Z","timestamp":1751008283000},"page":"1-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["A Survey of AIOps in the Era of Large Language Models"],"prefix":"10.1145","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9500-4489","authenticated-orcid":false,"given":"Lingzhe","family":"Zhang","sequence":"first","affiliation":[{"name":"Peking University","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5946-9829","authenticated-orcid":false,"given":"Tong","family":"Jia","sequence":"additional","affiliation":[{"name":"Peking University","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0979-9803","authenticated-orcid":false,"given":"Mengxi","family":"Jia","sequence":"additional","affiliation":[{"name":"Peking University","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5847-3132","authenticated-orcid":false,"given":"Yifan","family":"Wu","sequence":"additional","affiliation":[{"name":"Peking University","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4965-8263","authenticated-orcid":false,"given":"Aiwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Tsinghua University","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9667-2423","authenticated-orcid":false,"given":"Yong","family":"Yang","sequence":"additional","affiliation":[{"name":"Peking University","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1268-836X","authenticated-orcid":false,"given":"Zhonghai","family":"Wu","sequence":"additional","affiliation":[{"name":"EECS, Peking University","place":["Beijing, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6075-4224","authenticated-orcid":false,"given":"Xuming","family":"Hu","sequence":"additional","affiliation":[{"name":"AI Thrust, The Hong Kong University of Science and Technology","place":["Hong Kong, Hong Kong"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3491-5968","authenticated-orcid":false,"given":"Philip","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois Chicago","place":["Chicago, United States"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6278-2357","authenticated-orcid":false,"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University","place":["Beijing, China"]}]}],"member":"320","published-online":{"date-parts":[[2025,9,9]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3054375"},{"key":"e_1_3_2_3_2","first-page":"1737","volume-title":"Proceedings of the 2023 IEEE\/ACM 45th International Conference on Software Engineering","author":"Ahmed Toufique","year":"2023","unstructured":"Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, and Saravan Rajmohan. 2023. 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