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root cause analysis

121 articles · Page 2 of 2
DataFunSummit
DataFunSummit
Dec 9, 2021 · Big Data

Diagnostic Analytics in Meituan Food Delivery: Methods and Case Studies

This talk by Meituan data analyst Wang Qing explains why diagnostic analytics is essential, outlines its methodology using logical trees and hypothesis-driven approaches, and presents two case studies—weather index modeling and an intelligent anomaly detection system—to illustrate how data-driven diagnosis can pinpoint root causes and improve decision‑making in online food delivery.

Data Scienceanomaly detectiondiagnostic analytics
0 likes · 19 min read
Diagnostic Analytics in Meituan Food Delivery: Methods and Case Studies
ITPUB
ITPUB
May 17, 2021 · Operations

How DBSCAN Clustering and Bayesian Inference Boost Root‑Cause Detection in Securities Trading Systems

This article describes how a Chinese securities firm applied big‑data‑driven clustering and Bayesian methods to automate root‑cause analysis of trading‑system anomalies, detailing the challenges, algorithmic designs, practical implementations, and evaluation results that demonstrate significant reductions in false alarms and faster recovery.

ClusteringFinancial Technologybayesian inference
0 likes · 17 min read
How DBSCAN Clustering and Bayesian Inference Boost Root‑Cause Detection in Securities Trading Systems
Suning Technology
Suning Technology
Aug 29, 2020 · Artificial Intelligence

How AI Powers Large‑Scale Time Series Forecasting and Root‑Cause Analysis

This article describes Suning's AI‑driven end‑to‑end solution for massive time‑series monitoring, anomaly detection, forecasting with DeepAR, MQ‑RNN, MQ‑CNN, ensemble methods, root‑cause localization using Hotspot and Monte‑Carlo Tree Search, and the evolution of its large‑scale log analytics platform.

Log AnalyticsTime Series Forecastinganomaly detection
0 likes · 17 min read
How AI Powers Large‑Scale Time Series Forecasting and Root‑Cause Analysis
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Jun 20, 2020 · Fundamentals

Applying the 5Whys Method to Diagnose and Resolve Workplace Issues

The article illustrates how the 5Whys root‑cause analysis can turn everyday workplace conflicts—like missed deadlines and poor communication—into actionable improvement plans by repeatedly asking why, encouraging systematic task scheduling, and fostering a habit of deeper inquiry for lasting productivity gains.

5WhysMobile Developmentcommunication
0 likes · 9 min read
Applying the 5Whys Method to Diagnose and Resolve Workplace Issues
dbaplus Community
dbaplus Community
Apr 6, 2020 · Databases

How AI‑Driven Intelligent Ops Transform Database Management in Banking

This article examines the severe time‑critical pain points of bank database operations, explains why AI‑based intelligent ops are needed, describes the platform architecture, unsupervised algorithms (3σ, Isolation Forest, DBSCAN, Pearson, Apriori), and presents a real‑world case study that demonstrates anomaly detection, root‑cause analysis, and practical optimization recommendations.

AIOpsContainerizationPython
0 likes · 23 min read
How AI‑Driven Intelligent Ops Transform Database Management in Banking
Continuous Delivery 2.0
Continuous Delivery 2.0
Mar 6, 2020 · Operations

Google Incident Postmortem Checklist

The article presents a detailed Google‑derived post‑mortem checklist covering event data collection, root‑cause analysis, lessons learned, actionable improvement items, and review procedures to ensure systematic, non‑blame‑focused incident handling.

Checklistaction itemsincident management
0 likes · 5 min read
Google Incident Postmortem Checklist
Efficient Ops
Efficient Ops
Feb 18, 2020 · Operations

How Intelligent Ops Transforms Monitoring: Multi‑Dimensional Anomaly Detection & Smart Alert Merging

This article presents the 2019 GOPS Global Operations Conference talk by Gong Cheng, detailing how intelligent monitoring leverages multi‑dimensional anomaly detection, machine‑learning‑based alert merging, knowledge‑graph construction, and root‑cause analysis to automate and improve large‑scale IT operations.

alert merginganomaly detectionknowledge graph
0 likes · 22 min read
How Intelligent Ops Transforms Monitoring: Multi‑Dimensional Anomaly Detection & Smart Alert Merging
dbaplus Community
dbaplus Community
Feb 3, 2020 · Operations

Boosting Securities Ops with AI: A Practical Intelligent Operations Platform

This article presents a comprehensive study of applying AI, big‑data analytics, and automated pipelines to improve operational efficiency in the securities industry, detailing a custom intelligent ops platform, its layered architecture, and three real‑world scenarios—root‑cause analysis, knowledge‑base assistance, and capacity forecasting—along with experimental results and practical insights.

AIAIOpsCapacity Prediction
0 likes · 27 min read
Boosting Securities Ops with AI: A Practical Intelligent Operations Platform
58 Tech
58 Tech
Nov 4, 2019 · Operations

Intelligent Operations Practices: Multi‑Dimensional Anomaly Detection, Alarm Merging, Knowledge‑Graph Construction, and Root‑Cause Analysis

This article summarizes the keynote on intelligent operations presented at the 13th GOPS Global Operations Conference, covering multi‑dimensional anomaly detection, smart alarm aggregation, the construction of an operations knowledge graph, and AI‑driven root‑cause analysis techniques for large‑scale server environments.

alarm merginganomaly detectionintelligent monitoring
0 likes · 9 min read
Intelligent Operations Practices: Multi‑Dimensional Anomaly Detection, Alarm Merging, Knowledge‑Graph Construction, and Root‑Cause Analysis
Efficient Ops
Efficient Ops
Dec 11, 2018 · Operations

How Alibaba’s AI‑Powered Monitoring Tackles Complex Business Anomalies

In this talk, Alibaba senior tech expert Wang Zhaogang explains how intelligent monitoring, powered by machine‑learning algorithms and multi‑metric analysis, addresses the challenges of diverse business scenarios, enhances anomaly detection, improves root‑cause analysis, and shapes the future of smart operations.

anomaly detectionintelligent monitoringmachine learning
0 likes · 23 min read
How Alibaba’s AI‑Powered Monitoring Tackles Complex Business Anomalies
Efficient Ops
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.

AIOpsUnsupervised Learningoperations
0 likes · 20 min read
How to Detect and Resolve Time‑Series Anomalies in Modern AIOps
Efficient Ops
Efficient Ops
Apr 18, 2018 · Operations

Huawei’s Triple‑Play Model: Advancing AIOps for Massive K8s and Serverless

At the 9th Global Operations Conference, Huawei Cloud’s chief architect Cai Xiaogang presented a three‑pronged AIOps strategy that combines large‑scale Kubernetes management, causal tracing in Serverless environments, multi‑source RCA analysis, and clustering‑based black‑box network packet inspection, showcasing how academia‑industry collaboration accelerates cloud‑native operations.

AIOpsCloud OperationsClustering
0 likes · 8 min read
Huawei’s Triple‑Play Model: Advancing AIOps for Massive K8s and Serverless
Didi Tech
Didi Tech
Apr 16, 2018 · Fundamentals

A Structured Approach to Problem Solving and Architectural Thinking

The article presents a structured framework for problem solving and architectural thinking, defining problems as goal‑state gaps, warning against common pitfalls, introducing a “what‑how‑why” learning loop, detailing root‑cause analysis for anomalous issues and goal‑driven stakeholder mapping for improvement tasks, and emphasizing emotional intelligence in human‑centric solutions.

learning loopmanagementproblem solving
0 likes · 14 min read
A Structured Approach to Problem Solving and Architectural Thinking
dbaplus Community
dbaplus Community
Jan 15, 2018 · Operations

How JD Finance Achieves Real-Time Capacity Assessment and Smart Alerting

This article explains JD Finance's operational challenges in a rapidly expanding micro‑service environment and presents a comprehensive approach that combines offline and online load testing, precise capacity calculations, and intelligent root‑cause alert analysis using both rule‑based and machine‑learning techniques.

Capacity PlanningLoad Testingmachine learning
0 likes · 15 min read
How JD Finance Achieves Real-Time Capacity Assessment and Smart Alerting
dbaplus Community
dbaplus Community
Jan 1, 2018 · Big Data

How Vipshop Leverages Data Processing, Analytics, and Mining for Smarter Ops

This article summarizes Wu Xiaoguang's talk at Gdevops 2017, detailing how Vipshop integrates data processing, analysis, and mining technologies—such as Flume, Kafka, Spark, and custom scheduling—to improve operational decision‑making, performance monitoring, root‑cause analysis, and predictive modeling across its e‑commerce platform.

Data AnalyticsPredictive Modelingbig data
0 likes · 23 min read
How Vipshop Leverages Data Processing, Analytics, and Mining for Smarter Ops
Efficient Ops
Efficient Ops
Jun 14, 2016 · Operations

Automate Fault Root‑Cause Detection in Massive IT Operations

This article explains how large‑scale internet companies can reduce alarm storms and speed up incident resolution by creating an operations ecosystem centered on automated fault root‑cause localization, detailing the challenges, architecture, decision‑tree algorithms, and a four‑step implementation guide.

IT infrastructureautomationdecision tree
0 likes · 11 min read
Automate Fault Root‑Cause Detection in Massive IT Operations