time series anomaly detection

High Availability Architecture

Oct 22, 2020 · Artificial Intelligence

AIOps at Meituan: Architecture, Design, and Practice of the Horae Time‑Series Anomaly Detection System

This article presents Meituan's AIOps exploration, focusing on the design and implementation of the Horae time‑series anomaly detection platform, covering background, technical roadmap, fault‑discovery workflow, time‑series classification, feature engineering, model training, real‑time detection, and future directions.

AIOpsHoraeMachine Learning

0 likes · 31 min read

AIOps at Meituan: Architecture, Design, and Practice of the Horae Time‑Series Anomaly Detection System

Efficient Ops

Aug 28, 2018 · Operations

How to Detect and Resolve Time‑Series Anomalies in Modern AIOps

This article explains practical approaches for time‑series anomaly detection, multi‑dimensional drill‑down analysis, alarm‑convergence root‑cause analysis, and future AIOps planning, combining statistical methods, unsupervised learning, and supervised models to improve monitoring accuracy and operational efficiency.

AIOpsoperationsroot cause analysis

0 likes · 20 min read

How to Detect and Resolve Time‑Series Anomalies in Modern AIOps