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AIDS/AIMLAIOps / ObservabilityIEEE Final Year Projects
AIOps Time-Series Anomaly and Root-Cause Assistant
Unsupervised Autoencoder network detecting microservice CPU/memory anomalies and correlation graphs.
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Project Technical Overview
Ingests Prometheus infrastructure metrics, trains deep autoencoders to establish baseline operational behavior, and highlights multi-dimensional metric anomalies preceding cloud outage events.
IEEE ResearchStandard Publication & Conference Literature
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.
Verified Included Components2 components linked
Relay Module
Qty: 1