mlsanityData to 14 Oct 2026

Autonomic Microservice Management via Agentic AI and MAPE-K Integration

arXiv 2506.22185 ↗First posted 27 Jun 2025cs.SE cs.AI cs.DCcited by 0

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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.

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.

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15 of 42 references.

References · 15

  1. 2023Harms from Increasingly Agentic Algorithmic Systemscited by 135
  2. 2021Anomaly Detection and Failure Root Cause Analysis in (Micro)Service-Based Cloud Applications: A Surveycited by 48
  3. 2024RCAEval: A Benchmark for Root Cause Analysis of Microservice Systems with Telemetry Datacited by 29
  4. 2025Generative AI for Software Architecture. Applications, Challenges, and Future Directionscited by 15
  5. 2024Leveraging Large Language Models for Preliminary Security Risk Analysis: A Mission-Critical Case Studycited by 10
  6. 2024On Large Language Models in Mission-Critical IT Governance: Are We Ready Yet?cited by 9
  7. 2022Extending MAPE-K to support Human-Machine Teamingcited by 7
  8. 20246GSoft: Software for Edge-to-Cloud Continuumcited by 5
  9. 2024Reimagining Self-Adaptation in the Age of Large Language Modelscited by 4
  10. 2020Microservice Decomposition via Static and Dynamic Analysis of the Monolithcited by 2
  11. 2021Self-Adaptive Microservice-based Systems -- Landscape and Research Opportunitiescited by 2
  12. 2022Microservice Architecture Reconstruction and Visualization Techniques: A Reviewcited by 2
3 more
  1. 2022Using Microservice Telemetry Data for System Dynamic Analysiscited by 1
  2. 2022Microvision: Static analysis-based approach to visualizing microservices in augmented realitycited by 1
  3. 2023One Microservice per Developer: Is This the Trend in OSS?cited by 1

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  1. 2026Agentic Service-Oriented Computing: A Manifesto for the Next Frontier of Service-Oriented Computing
  2. 2026KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI
  3. 2025Enabling Autonomic Microservice Management through Self-Learning Agents
  4. 2026Towards a Systems Foundation for Agentic Cloud Management
  5. 2025NetMoniAI: An Agentic AI Framework for Network Security & Monitoring
  6. 2024Building AI Agents for Autonomous Clouds: Challenges and Design Principles
  7. 2025Agentic AI for autonomous anomaly management in complex systems
  8. 2025Adaptive Cybersecurity Architecture for Digital Product Ecosystems Using Agentic AI