1 INTRODUCTION  
1.1 Why are LLMs Beneficial for AIOps on Failure Management?  
1.2 Why a Survey of AIOps for Failure Management in the Era of LLMs?  

2 PRELIMINARY  
2.1 Data Source for AIOps  
2.2 LLM-based Approaches for AIOps  
2.3 AIOps Tasks for Failure Management  

3 DATA PREPROCESSING  

4 FAILURE PERCEPTION  

5 ROOT CAUSE ANALYSIS  

6 AUTO REMEDIATION  

7 CHALLENGES AND FUTURE DIRECTIONS  
7.1 Computational Efficiency and Cost  
7.2 In-depth Usage of More Diverse Data Sources  
7.3 Generalizability and Model Adaptability in Software Evolution  
7.4 Hallucinations in LLMs  

8 CONCLUSION