Some public materials related to AIOps domain.
- [2021] AIOps research papers overview: https://arxiv.org/pdf/2101.06054.pdf
- [2020] Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach https://arxiv.org/pdf/2004.13527.pdf
- [2020 IBM] AIOps for a Cloud Object Storage Service https://arxiv.org/pdf/2005.03094.pdf
- [2021] TELESTO: A Graph Neural Network Model for Anomaly Classification https://arxiv.org/pdf/2102.12877.pdf
- [2020 Amazon] Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models https://arxiv.org/pdf/2007.15541.pdf
- [2021] Multi-Source Anomaly Detection in Distributed IT Systems https://arxiv.org/pdf/2101.04977.pdf
- [2020 Microsoft] Robust Log-Based Anomaly Detection on Unstable Log Data - - - - - https://netman.aiops.org/~peidan/ANM2019/6.LogAnomalyDetection/LectureCoverage/2019FSE_LogRobust.pdf
- [2020] LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning https://netman.aiops.org/wp-content/uploads/2020/08/paper-ISSRE20-LogTransfer.pdf
- [2019 Microsoft] Time-Series Anomaly Detection Service at Microsoft https://arxiv.org/pdf/1906.03821.pdf
- [2021 Huawei] Detecting Log Anomalies with Multi-Head Attention (LAMA) https://arxiv.org/pdf/2101.02392.pdf
- [2018 NEC, Columbia] A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data https://arxiv.org/pdf/1811.08055.pdf
- [2020 Facebook] Predicting remediation for HW failures in large scale DCs https://research.fb.com/publications/predicting-remediations-for-hardware-failures-in-large-scale-datacenters/
- Anomaly detection survey (late 2020) https://github.com/hoya012/awesome-anomaly-detection
- [2020 Airbus] Anomaly detection in ISS telemetry data https://blog.tensorflow.org/2020/04/how-airbus-detects-anomalies-iss-telemetry-data-tfx.html
- [2020 Huawei] Anomaly Detection from System Traces using Multimodal Deep Learning https://netman.aiops.org/~peidan/ANM2020/7.TraceAnomalyDetection/LectureCoverage/2019IEEECloud_Anomaly%20Detection%20from%20Tracing%20Data%20using%20Multimodal%20Deep%20Learning.pdf
- [2017] DeepLog: anomaly detection and diagnosis https://machine-learning-and-security.github.io/papers/mlsec17_paper_49.pdf
- [2020 Zillow] Building self-aware anomaly detection system https://medium.com/zillow-tech-hub/automatic-and-self-aware-anomaly-detection-at-zillow-using-luminaire-7addfdae4ca9
- [2015 Netflix] Outlier Detection at Netflix https://netflixtechblog.com/tracking-down-the-villains-outlier-detection-at-netflix-40360b31732
- [2017 Ubert] Predicting Extreme Events with RNN http://roseyu.com/time-series-workshop/submissions/TSW2017_paper_3.pdf & https://forecasters.org/wp-content/uploads/gravity_forms/7-c6dd08fee7f0065037affb5b74fec20a/2017/07/Laptev_Nikolay_ISF2017.pdf
- [2017 Uber] Argos real-time alerts https://eng.uber.com/argos-real-time-alerts/
- [2019 & 2020] CyBERT log parser from NVIDIA (1 and 2)
- Random Distance Prediction Model https://arxiv.org/pdf/1912.12186.pdf
- Unsupervised Anomaly Detection with Distillated Teacher-Student Network Ensemble https://www.mdpi.com/1099-4300/23/2/201/htm
- [2020, MSFT] MPNet: Masked and Permuted Pre-training for Language Understanding https://arxiv.org/pdf/2004.09297.pdf
- RedHat Log Anomaly Detection https://github.com/AICoE/log-anomaly-detector
- LogHub - collection of maintenance dataset https://github.com/logpai/loghub
- Grid Dynamics https://blog.griddynamics.com/unsupervised-real-time-anomaly-detection/
- Anomaly Detection using AutoEncoders (Keras): https://keras.io/examples/timeseries/timeseries_anomaly_detection/
- DeepLog implementation https://github.com/nailo2c/deeplog
- GCP Anomaly Detection services (using KMeans, 3 std distance from centroid constitutes anomaly) https://cloud.google.com/blog/products/data-analytics/anomaly-detection-using-streaming-analytics-and-ai and https://github.com/GoogleCloudPlatform/df-ml-anomaly-detection#create-a-k-means-model-using-bq-ml
- VAE to time series data (TF implementation) https://thingsolver.com/time-series-anomaly-detection-using-a-variational-autoencoder-vae/
- Anomaly detection with Prophet https://towardsdatascience.com/anomaly-detection-time-series-4c661f6f165f
- PYOD framework (30 various algorithms for multivariate anomaly detection) https://github.com/yzhao062/pyod/
- Numenta Anomaly Becnhmark https://numenta.com/machine-intelligence-technology/numenta-anomaly-benchmark/
- [Yahoo 2015] S5 - A Labeled Anomaly Detection Dataset https://webscope.sandbox.yahoo.com/catalog.php?datatype=s& did=70
- NASA Anomaly Detection dataset https://github.com/khundman/telemanom
- OMNI dataset https://github.com/NetManAIOps/OmniAnomaly