大语言模型时代的智能运维

摘要：大语言模型由于其强大的语言能力、代码生成能力、工具编排能力，将是智能运维（AIOps）落地取得突破的重要因素。大模型时代的AIOps架构是多AIOps智能体的人机协同系统。首先列举了AIOps对大语言模型的应用需求，探讨了大语言模型时代的AIOps架构，其次总结了将大语言模型整合到运维工作流程中所面临的挑战，最后结合这些挑战给出了解决思路并倡议以“社区众包，群体智慧”的方式加速落地运维大语言模型。

关键词：大语言模型；智能运维；人机协同；智能体

Abstract: Due to its powerful linguistic capabilities, code generation abilities, and tool orchestration capabilities, the large language model will be an important factor in the breakthrough of artificial intelligence for IT operations (AIOps). The architecture of AIOps in the era of large models is a human-machine collaborative system composed of multiple AIOps intelligent agents. Firstly, the application requirements of AIOps for large language models are listed and the architecture of AIOps in the era of large language models is explored. Secondly, the challenges of integrating large language models into operational workflows are summarized, and solutions to these challenges are proposed. Finally, it advocates for the acceleration of large language model implementation in operations through the "community crowdsourcing and collective intelligence" approach.

Keywords: large language model; AIOps; human-machine synergy; agent