Design and Architecture of a Configurable Data Visualization Platform

The article outlines a configurable data‑visualization platform built on four layers—a unified configuration tool, a common compute service, a report‑rendering engine, and an operations dashboard—designed to streamline data acquisition, modeling, multi‑dimensional calculations, and presentation, thereby boosting BI agility, accuracy, extensibility, and insight speed.

Configurableoperations monitoringplatform architecture

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Design and Architecture of a Configurable Data Visualization Platform

Ctrip Technology

Dec 19, 2018 · Artificial Intelligence

Anomaly Detection in Operations: From Statistical Rules to Deep Learning with LSTM and Real‑Time Streaming

This article describes how a large‑scale operations monitoring system at Ctrip evolved from rule‑based alerts to a deep‑learning‑driven anomaly detection pipeline using LSTM models and Flink streaming, achieving a ten‑fold reduction in alert volume while improving fault detection.

Anomaly DetectionDeep LearningFlink

0 likes · 14 min read

Anomaly Detection in Operations: From Statistical Rules to Deep Learning with LSTM and Real‑Time Streaming

Baidu Waimai Technology Team

Jul 4, 2017 · Operations

Building a Full‑Stack Operations Monitoring System: Strategies, Implementation & Lessons

This article details the end‑to‑end process of designing and deploying an operations‑focused monitoring framework, covering semantic, log, and performance monitoring, protobuf integration, implementation challenges, actual effects, and future optimization directions for large‑scale online services.

Log MonitoringProtobufad-hoc queries

0 likes · 13 min read

Building a Full‑Stack Operations Monitoring System: Strategies, Implementation & Lessons

MaGe Linux Operations

Jul 9, 2015 · Backend Development

How Meipai Scaled to 100M Users in 9 Months: Key Lessons from QCon

An in‑depth recap of Hong Xiaojun’s QCon presentation reveals how Meipai’s architecture evolved from a minimalist design to a highly scalable, high‑availability system, tackling MySQL bottlenecks, cache challenges, monitoring, CDN resilience, and technology migrations to support rapid growth to over a hundred million users.

MySQL optimizationSystem Designcaching strategies

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How Meipai Scaled to 100M Users in 9 Months: Key Lessons from QCon