This article explains how Alibaba’s EMonitor platform combines comprehensive metric collection, a custom time‑series database, and a metric‑drill‑down algorithm to automatically pinpoint root causes of service failures with 96% accuracy and sub‑second response times.
EMonitor, Meituan’s unified monitoring platform, extends CAT’s concepts with real‑time 10‑second aggregation, richer metric types, advanced dashboards, and seamless integration across IaaS, PaaS, and application layers, illustrating the evolution from log‑based monitoring to a comprehensive, proactive observability system.
This article recounts Huang Jie’s presentation on the evolution of Ele.me’s monitoring system, detailing its three development stages, the challenges faced, the layered monitoring architecture, the design of a unified platform supporting both PC and mobile, and the underlying LinDB time‑series database.
This article compares Meituan’s in‑house EMonitor with the open‑source CAT platform, outlines their core monitoring models, sampling pipelines, custom metrics and integration capabilities, and traces the evolution of monitoring stages from log‑based to intelligent root‑cause analysis.
