用智能代理+管理闭环，自动发现修复微服务异常
Autonomic Microservice Management via Agentic AI and MAPE-K Integration
- 基于MAPE-K闭环与智能代理实现自治管理
- 可实时检测异常并自动修复，提升系统稳定性
- 适合关注微服务安全与运维的开发者和研究者
尽管微服务通过卓越的可扩展性和独立部署能力革新了云计算，但其去中心化特性带来了重大的安全与管理挑战，可能威胁系统稳定性。本文提出一种基于MAPE-K框架、融合智能代理AI的自治异常检测与修复方法，以应对高度分布式系统管理的难题。该框架为维持微服务的健壮性与安全性提供了实用且可落地的解决方案。从业者与研究人员可据此定制系统，以增强稳定性、减少停机时间，并监控系统性能水平、弹性、安全性及异常管理等更广泛的系统质量属性。
原文摘要 · Abstract (English)
While microservices are revolutionizing cloud computing by offering unparalleled scalability and independent deployment, their decentralized nature poses significant security and management challenges that can threaten system stability. We propose a framework based on MAPE-K, which leverages agentic AI, for autonomous anomaly detection and remediation to address the daunting task of highly distributed system management. Our framework offers practical, industry-ready solutions for maintaining robust and secure microservices. Practitioners and researchers can customize the framework to enhance system stability, reduce downtime, and monitor broader system quality attributes such as system performance level, resilience, security, and anomaly management, among others.
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