awesome-failure-diagnosis

Loghub: a large collection of system log datasets towards automated log analytics.

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

A Comprehensive Survey on Root Cause Analysis in (Micro) Services: Methodologies, Challenges, and Trends

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis

Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems

WOLFFI: A fault injection platform for learning AIOps models.

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis

Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization

MRCA: Metric-level Root Cause Analysis for Microservices via Multi-Modal Data

Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?

Latent error prediction and fault localization for microservice applications by learning from system trace logs

Graph-based trace analysis for microservice architecture understanding and problem diagnosis.

The Good, the Bad and the Ugly: The 3 Learnings of an SRE

Tsinghua University

Sun Yat-sen University

Capital One

Brady Neal

Microsoft Asia Research

https://status.alibabacloud.com/

https://health.aws.amazon.com/health/status

{Jump-Starting} Multivariate Time Series Anomaly Detection for Online Service Systems

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Behavioral Log Analysis with Statistical Guarantees

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Opprentice: Towards practical and automatic anomaly detection through machine learning.

Blackbox prober exporter

Node Exporter