Enabling Autonomic Microservice Management through Self-Learning Agents

• URL: http://arxiv.org/abs/2501.19056v1
• Date: Fri, 31 Jan 2025 11:32:05 GMT
• Title: Enabling Autonomic Microservice Management through Self-Learning Agents
• Authors: Fenglin Yu, Fangkai Yang, Xiaoting Qin, Zhiyang Zhang, Jue Zhang, Qingwei Lin, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang,
• Abstract summary: ServiceOdyssey is a self-learning agent system that autonomously manages without requiring prior knowledge of service-specific configurations. A prototype built with the Sock Shop microservice demonstrates the potential of this approach for autonomic microservice management.
• Score: 38.13350104927768
• License:
• Abstract: The increasing complexity of modern software systems necessitates robust autonomic self-management capabilities. While Large Language Models (LLMs) demonstrate potential in this domain, they often face challenges in adapting their general knowledge to specific service contexts. To address this limitation, we propose ServiceOdyssey, a self-learning agent system that autonomously manages microservices without requiring prior knowledge of service-specific configurations. By leveraging curriculum learning principles and iterative exploration, ServiceOdyssey progressively develops a deep understanding of operational environments, reducing dependence on human input or static documentation. A prototype built with the Sock Shop microservice demonstrates the potential of this approach for autonomic microservice management.

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