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Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis

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arxiv 2407.01710 v2 pith:M64CMWMI submitted 2024-06-27 cs.SE

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis

classification cs.SE
keywords diagnosismicroservicesurveysystemsanalysisfailureachievedaddition
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Widely adopted for their scalability and flexibility, modern microservice systems present unique failure diagnosis challenges due to their independent deployment and dynamic interactions. This complexity can lead to cascading failures that negatively impact operational efficiency and user experience. Recognizing the critical role of fault diagnosis in improving the stability and reliability of microservice systems, researchers have conducted extensive studies and achieved a number of significant results. This survey provides an exhaustive review of 98 scientific papers from 2003 to the present, including a thorough examination and elucidation of the fundamental concepts, system architecture, and problem statement. It also includes a qualitative analysis of the dimensions, providing an in-depth discussion of current best practices and future directions, aiming to further its development and application. In addition, this survey compiles publicly available datasets, toolkits, and evaluation metrics to facilitate the selection and validation of techniques for practitioners.

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Cited by 1 Pith paper

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  1. Bifrost: Empowering Pretrained Language Model with Fallibility Representation for Log-Based Fault Diagnosis

    cs.SE 2026-07 conditional novelty 6.0

    Bifrost fine-tunes BART-Base on logs with three self-supervised contrastive tasks, beating general PLMs by roughly 10-20% on anomaly detection, root-cause localization, and fault identification.