Microservice Architecture

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Overview

Microservice architecture divides applications into services that communicate over networks, making it easier to deploy and scale components independently but harder to understand their interactions. Research uses service graphs, traces, metrics, and logs with machine-learning methods to forecast latency, detect anomalies, and locate failures; LLMs and multi-agent systems are also being explored for design, testing, diagnosis, and remediation. Work also addresses deployment choices, resource allocation, and production pipelines, where shared infrastructure and cross-service dependencies shape performance. A central challenge is making automated diagnosis and recovery reliable with incomplete data, while building benchmarks and safeguards that support fair evaluation and prevent harmful actions.

Latest papers

CardsList

19 papers0 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. IMPACT: Intent-driven Multi-agent Policy with Attention for SLO-guaranteed Microservice Migration in Cloud-edge Systems

    Sep 21, 2026Xinjin Li, Siru Tao, Shihan Yin +6Edge-Cloud ComputingCooperative MARL

    Columbia University · Carnegie Mellon University · Brandeis University +5

  2. GALA: Graph-Augmented LLM Agents for Root Cause Analysis and Incident Response in Microservices

    Aug 10, 2026Yifang Tian, Yaming Liu, Zichun Chong +3Tool-Augmented Language Model AgentsLLM Agent Evaluation

    University of Toronto Toronto, Canada

  3. From Textual Requirements to Microservice Architectures - A Comprehensive Evaluation of LLM-Based Design Synthesis

    Jul 30, 2026Danyllo Albuquerque, José Renan, Guillermo Rodríguez +6LLM PromptingMicroservice Architecture

    VIRTUS/UFCG Federal University of Campina Grande (UFCG), Paraiba Brazil · Federal University of Campina Grande (UFCG), Paraiba Brazil · Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional del Centro de la Provincia de Buenos Aires (UNICEN), Argentina +2

  4. A Multi-Dataset Benchmark for Evaluating LLM Agents in Microservice Failure Diagnosis

    Jun 28, 2026Yuanhong Cai, Xiaohui Nie, Kanglin Yin +8Software EngineeringLLM Agent Evaluation

    Computer Network Information Center, Chinese Academy of Sciences, Beijing, China · Key Laboratory for Satellite Digitalization Technology, Chinese Academy of Sciences, Shanghai, China · Nankai University, Tianjin, China +2

  5. A Topology-Aware, Memory-Centric Architecture that Separates Root-Cause Derivation from Root-Cause Explanation

    Jun 18, 2026Momil SeedatSoftware EngineeringMicroservice Architecture

    Independent Research Prototype

  6. Anomaly Detection and Root Cause Analysis for Microservice Systems

    Jun 8, 2026Luan PhamSoftware EngineeringMicroservice Architecture

    Viet Nam National University Ho Chi Minh City - University of Technology (HCMUT) · School of Computing Technologies, College of Science, Technology, Engineering and Maths, Royal Melbourne Institute of Technology (RMIT University), Melbourne, Victoria, Australia

  7. TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices

    May 15, 2026Junle Wang, Xingchuang Liao, Wenjun WuSoftware EngineeringMulti-Agent Orchestration

    School of Artificial Intelligence, Beihang University Beijing, China

  8. Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought

    May 14, 2026Lingzhe Zhang, Tong Jia, Kangjin Wang +8Software EngineeringMulti-Agent LLM Systems

    Peking University, Beijing, China · Huawei Theory Lab, China

  9. LLM-Based Robustness Testing of Microservice Applications: An Empirical Study

    May 13, 2026Hrushitha Goud Tigulla, Marco VieiraSoftware EngineeringAutomated Software Testing

    College of Computing and Informatics University of North Carolina at Charlotte Charlotte, USA

  10. Operationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production

    May 12, 2026Yao Fehlis, Benjamin Bengfort, Zhangzhang Si +9Software EngineeringDocument Information Extraction

  11. Hypergraph and Latent ODE Learning for Multimodal Root Cause Localization in Microservices

    May 1, 2026Xin Liu, Yuhang He, Sichen Zhao +2Microservice ArchitectureRoot Cause Analysis

    Independent Researcher New York, USA · Independent Researcher Chicago, USA · Northeastern University Boston, USA +2

  12. KAYRA: A Microservice Architecture for AI-Assisted Karyotyping with Cloud and On-Premise Deployment

    Apr 29, 2026Attila Pintér, Javier Rico, Attila Répai +5Microservice ArchitectureMedical Image Segmentation

    Jedlik Innovation Ltd., Budapest, Hungary · Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary · Central Hospital of Southern Pest — National Institute of Hematology and Infectious Diseases, Laboratory of Molecular Genetics, Budapest, Hungary

  13. STLGT: A Scalable Trace-Based Linear Graph Transformer for Tail Latency Prediction in Microservices

    Apr 29, 2026Yongliang Ding, Qigong Bi, Peng PuEfficient Neural Network InferenceMicroservice Architecture

    East China Normal University Shanghai, China

  14. E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning

    Apr 13, 2026Lingzhe Zhang, Yunpeng Zhai, Tong Jia +5LLM-Based Program SynthesisMicroservice Architecture

    Peking University; Key Laboratory of Data Intelligence and Security Beijing, China · Alibaba Group China · Peking University; Key Laboratory of Data Space Technology and System Beijing, China

  15. Rebooting Microreboot: Architectural Support for Safe, Parallel Recovery in Microservice Systems

    Apr 11, 2026Laurent BindschaedlerMicroservice ArchitectureRuntime Enforcement for AI Agents

    Max Planck Institute for Software Systems (MPI-SWS), Saarbrücken, Germany

  16. From Load Tests to Live Streams: Graph Embedding-Based Anomaly Detection in Microservice Architectures

    Apr 7, 2026Srinidhi Madabhushi, Pranesh Vyas, Swathi Vaidyanathan +3Anomaly DetectionUnsupervised Anomaly Detection

    Amazon Prime Video, USA

  17. ARMOR: A Robust Self-Supervised Framework for Root Cause Analysis in Microservices under Missing Modality

    Mar 26, 2026Wenzhuo Qian, Hailiang Zhao, Ziqi Wang +4Root Cause AnalysisMultimodal Anomaly Detection

    Zhejiang University, Hangzhou, China

  18. Praxium: Diagnosing Cloud Anomalies with AI-based Telemetry and Dependency Analysis

    Mar 25, 2026Rohan Kumar, Jason Li, Zongshun Zhang +3Anomaly DetectionRoot Cause Analysis

    Boston University

  19. Can an LLM Detect Instances of Microservice Infrastructure Patterns?

    Mar 24, 2026Carlos Eduardo Duarte, Neil B. Harrison, Filipe Figueiredo Correia +2Software EngineeringLLM Evaluation

    ∗INESC TEC, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal · †Department of Computer Science, Utah Valley University, Utah, USA · ‡INESC TEC, Porto, Portugal