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A Survey of AIOps Methods for Failure Management
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Long Short-Term Memory Network for Remaining Useful Life estimation
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AIOps: Real-World Challenges and Research Innovations
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Learning to Log: Helping Developers Make Informed Logging Decisions
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Predicting Application Failure in Cloud: A Machine Learning Approach
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Generic and Robust Localization of Multi-dimensional Root Causes
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Proactive drive failure prediction for large scale storage systems
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A Systematic Mapping Study on Fault Management in Cloud Computing
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A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
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The DStar Method for Effective Software Fault Localization
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Toward a Smart Cloud: A Review of Fault-Tolerance Methods in Cloud Systems
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Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers
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Self Adjusting Log Observability for Cloud Native Applications
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What Academic AIOps Research Gets Wrong: A Practitioner’s Perspective from 12 Years of Cloud Operations
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Demonstration of Dynamic Logging Framework for Cloud Native Environments
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Fine-grained Spatiotemporal Features-Based for Anomaly Detection in Microservice Systems
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Optimisation Of The Water Supply System Through the Application of Augmented Intelligence
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Key Considerations For Adopting Transformative M4.0 Technologies In The Smart Manufacturing
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LogGC: Novel Approach for Graph-based Log Anomaly Detection
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Optimized Deployment and Performance Monitoring of Cloud-Native Applications for Electronic Systems
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AI-Based Early-Canary Risk Prediction for Backend Releases
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Auto-Logging: AI-centred Logging Instrumentation
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Saliency Time-Series Anomaly Detection Service for AIOps
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Key Performance Indicators of Artificial Intelligence For IT Operations (AIOPS)
inferred← citeshttps://doi.org/10.1109/isncc66965.2025.11250508openalex-snapshot
Application Of Augmented Reality In The South African Car Engine Manufacturing Industry
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Release-Aware Prior-Guided Regex Planning for Token-Bounded Log Retrieval in AIOps
inferred← citeshttps://doi.org/10.1109/issre62328.2024.00032openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/jlt.2024.3486350openalex-snapshot
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A Review of Machine Learning Approaches for Real-Time Alerting in Service Level Objective Monitoring
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LogRule: Efficient Structured Log Mining for Root Cause Analysis
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inferred← citeshttps://doi.org/10.1109/tsc.2024.3478759openalex-snapshot
Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data
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Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition
inferred← citeshttps://doi.org/10.1145/3625289openalex-snapshot
A Joint Study of the Challenges, Opportunities, and Roadmap of MLOps and AIOps: A Systematic Survey
inferred← citeshttps://doi.org/10.1145/3691620.3695475openalex-snapshot
The Potential of One-Shot Failure Root Cause Analysis: Collaboration of the Large Language Model and Small Classifier
inferred← citeshttps://doi.org/10.1145/3696630.3728619openalex-snapshot
AIOpsLab in Action: An Open Platform for AIOps Research
inferred← citeshttps://doi.org/10.1145/3696630.3731612openalex-snapshot
AmocRCA: At Most One Change Segmentation and Relative Correlation Ranking for Root Cause Analysis
inferred← citeshttps://doi.org/10.1145/3698038.3698525openalex-snapshot
Building AI Agents for Autonomous Clouds: Challenges and Design Principles
inferred← citeshttps://doi.org/10.1145/3715005openalex-snapshot
Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis
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Intelligent Root Cause Localization in MicroService Systems: A Survey and New Perspectives
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A Survey of AIOps in the Era of Large Language Models
inferred← citeshttps://doi.org/10.1145/3746709.3746819openalex-snapshot
Design and Implementation of an Intelligent Operation and Maintenance System Based on Distributed Tracing
inferred← citeshttps://doi.org/10.1145/3770855.3817863openalex-snapshot
StaR: Stateful Dynamic-Graph Root Cause Analysis through Memory-Enhanced Causality Discovery
inferred← citeshttps://doi.org/10.1145/3797161.3797213openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3801155openalex-snapshot
Adaptive Anomaly Detection for Multi-Dimensional Issue Reports
inferred← citeshttps://doi.org/10.1145/3803437.3805219openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3803437.3806091openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3832783.3837462openalex-snapshot
CodeFault: Predicting Fault Risks from Code Changes via Multi-modal Learning
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HERO: Hypothesis-Centered Root-Cause Analysis for Microservice Incidents
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Why Transformers? A Comprehensive Overview of Transformers in Artificial Intelligence for IT Operations
inferred← citeshttps://doi.org/10.1186/s43067-026-00385-3openalex-snapshot
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Log-Based System Failure Prediction with Dual-Aspect Feature Augmentation
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SLADE: an SLA-Based Decision Engine in QoS Application Performance Management
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From Observability to AIOps : The Evolution of the Self-Healing Banking Cloud
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AI-Driven Self-Healing Automation in Large-Scale Distributed Systems: Predictive Detection, Autonomous Recovery, and Reliability Governance
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AIOps-Driven Intelligent Observability Framework for Predictive Failure Detection in Large-Scale Distributed Enterprise Systems
inferred← citeshttps://doi.org/10.32628/ijsrst245126285openalex-snapshot
Building Resilience with Oracle RAC and Data Guard Automation: A Unified Framework for Autonomous High Availability
inferred← citeshttps://doi.org/10.32628/ijsrst25121450openalex-snapshot
AI-Native Infrastructure for the Autonomous Enterprise: Advancing Self-Optimizing Database, Big Data, and Cloud Ecosystems
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From distributed tracing to proactive SLO management: a mini-review of trace-driven performance prediction for cloud-native microservices
inferred← citeshttps://doi.org/10.3390/app122312472openalex-snapshot
Anomaly Detection and Early Warning Model for Latency in Private 5G Networks
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Learning to Diagnose: Meta-Learning for Efficient Adaptation in Few-Shot AIOps Scenarios
inferred← citeshttps://doi.org/10.3390/electronics13224425openalex-snapshot
Leveraging Large Language Models for Efficient Alert Aggregation in AIOPs
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Internet-of-Things Edge Computing Systems for Streaming Video Analytics: Trails Behind and the Paths Ahead
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Battery Prognostics and Health Management: AI and Big Data
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Інтелектуальна система моніторингу та оптимізації якості програмного забезпечення
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Applying AI/ML to Kubernetes Logging and Monitoring in Enhancing Observability Through Intelligent Systems
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AI-Enhanced Functional Safety in ADAS Controllers: Predictive Fault Management under ISO 26262
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AIOps in Cloud-native DevOps: IT Operations Management with Artificial Intelligence
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SHIELD-DBOps: An Admissibility-and-Verification Framework for Guardrail-Based Database Operations
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OBSERVE-ML: An Auditable Decision Layer for Trustworthy Production Machine Learning Operations
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FDR Control for Online Anomaly Detection
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AI-Augmented Predictive Analytics for Proactive Cloud Infrastructure Management
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REVIEW AND ANALASYS OF EXPLAINABLE ARTIFICIAL INTELLIGENCE APPLICATIONS IN DISTRIBUTED SYSTEMS AND MICROSERVICES
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Industry Analysis of Remote Infrastructure Monitoring and IT Operations Services Industry in India
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Explainable Anomaly Detection in Multimodal Telemetry of Banking Microservices
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A data mining perspective on explainable AIOps with applications to software maintenance
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