# Autonomic Microservice Management via Agentic AI and MAPE-K Integration

arXiv: https://arxiv.org/abs/2506.22185 · HTML: https://mlsanity.com/paper/2506.22185/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 15 of its 42 references that are in the map.
- First posted on arXiv 27 Jun 2025.

## Builds on (most cited first, 15 of 15)

- [Harms from Increasingly Agentic Algorithmic Systems](https://mlsanity.com/paper/2302.10329/) (2023)
- [Anomaly Detection and Failure Root Cause Analysis in (Micro)Service-Based Cloud Applications: A Survey](https://mlsanity.com/paper/2105.12378/) (2021)
- [RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Data](https://mlsanity.com/paper/2412.17015/) (2024)
- [Generative AI for Software Architecture. Applications, Challenges, and Future Directions](https://mlsanity.com/paper/2503.13310/) (2025)
- [Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Study](https://mlsanity.com/paper/2403.15756/) (2024)
- [On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?](https://mlsanity.com/paper/2412.11698/) (2024)
- [Extending MAPE-K to support Human-Machine Teaming](https://mlsanity.com/paper/2203.13036/) (2022)
- [6GSoft: Software for Edge-to-Cloud Continuum](https://mlsanity.com/paper/2407.05963/) (2024)
- [Reimagining Self-Adaptation in the Age of Large Language Models](https://mlsanity.com/paper/2404.09866/) (2024)
- [Microservice Decomposition via Static and Dynamic Analysis of the Monolith](https://mlsanity.com/paper/2003.02603/) (2020)
- [Self-Adaptive Microservice-based Systems -- Landscape and Research Opportunities](https://mlsanity.com/paper/2103.08688/) (2021)
- [Microservice Architecture Reconstruction and Visualization Techniques: A Review](https://mlsanity.com/paper/2207.02988/) (2022)
- [Using Microservice Telemetry Data for System Dynamic Analysis](https://mlsanity.com/paper/2207.02776/) (2022)
- [Microvision: Static analysis-based approach to visualizing microservices in augmented reality](https://mlsanity.com/paper/2207.02974/) (2022)
- [One Microservice per Developer: Is This the Trend in OSS?](https://mlsanity.com/paper/2308.02843/) (2023)

## Abstract (arXiv)

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.