This article analyzes the three main bottlenecks—stability, cost, and efficiency—encountered in large‑scale operations, presents a six‑stage pipeline and open‑source toolchain, and explains how cloud‑native technologies such as Kubernetes and AIOps can transform and automate massive infrastructure management.
This presentation outlines the observability ecosystem, the role and value of alerts within it, core functionalities of an intelligent alarm management platform, best‑practice recommendations, and a real‑world case study of deploying a unified observability solution for a large state‑owned investment group.
At the 20th GOPS Global Operations Conference in Shenzhen, Huawei expert Liu Yuliang outlined how AI and data can transform telecom network management from a network‑centric to a business‑centric, self‑driving model, highlighting key solutions such as ChatOps, EDNS, AABD Pro, and cross‑vendor topology reconstruction.
China's Information and Communication Research Institute announced the newest evaluation results for its DevOps and AIOps capability maturity models, showing that standardization and tool empowerment have helped over 75 leading enterprises across banking, securities, telecom, and internet sectors improve quality, efficiency, and market competitiveness.
The article explores how AIOps, a human‑machine collaborative approach powered by data, algorithms, and contextual knowledge, transforms modern operations by enabling real‑time insight, predictive decision‑making, automated execution, and continuous feedback, especially in complex, security‑sensitive environments like finance.
This article explains how NetEase Games leveraged AI, big data, and machine learning to create an AIOps platform that automates anomaly detection, log analysis, and fault localization, improving quality assurance, cost management, and operational efficiency across complex gaming infrastructures.
This paper presents StudRank, a microservice root‑cause localization method that decomposes call‑chain traces into time‑series, detects anomalies, builds an abnormal propagation graph, and applies a personalized PageRank random‑walk algorithm, achieving 84% top‑1 accuracy and a 97.6% improvement over MicroRCA on public AIOps data.
HoloInsight is an open‑source, cloud‑native observability platform derived from Ant Group's AntMonitor, offering integrated log‑based monitoring, business metric analysis, and AI‑driven AIOps capabilities while providing a lightweight, modular architecture and extensive extensibility for modern software stacks.
This article presents an AI‑enhanced operations framework that combines metric anomaly detection, alarm compression, log anomaly detection, and intelligent analysis using machine learning methods such as DBSCAN clustering, SARIMAX modeling, Apriori association rules, and LSTM‑based log parsing to improve fault detection and reduce operational costs.
During the 2022 TT Voice Annual Summit, the technical team tackled stability, real‑time risk control, and resource utilization challenges by implementing strict change management, multi‑cloud high‑availability networking, AIOps‑driven monitoring, big‑data processing, and cloud‑native scaling strategies, ultimately delivering zero‑fault operation.
This article reviews G Bank's multi‑year journey to standardize application monitoring, detailing the methodology, models, metrics, automation mechanisms, and quantitative evaluation that together improve visibility, early fault detection, and overall operations management for both traditional and distributed systems.
This article outlines Vivo's multi‑year journey of designing, evolving, and operating a cloud‑native, AIOps‑enabled monitoring platform that supports tens of thousands of hosts, databases, containers, and services, detailing its architecture, challenges, and future directions for observability and reliability.
This article explains the concept of AIOps, details China Mobile Information Technology's successful comprehensive‑level assessment of its centralized operations management platform's fault‑self‑healing module, shares insights from an interview with the project director, and introduces the national AIOps capability maturity model.
China Mobile Information Technology’s Management Information Domain Operation Management System passed the comprehensive-level AIOps fault‑prediction assessment, highlighting the growing importance of AI‑driven operations, the new AIOps capability maturity model, and insights from a project‑manager interview on future development.
This article explains the AIOps concept, details China Mobile Information Technology's award‑winning Disk Health Intelligent Detection System, and shares an interview with its cloud architect on the evaluation process, future plans, and the broader AIOps capability maturity model.
This article details China Mobile Information's interview about their centralized AIOps platform, the recent excellent‑level assessment by the China Academy of Information and Communications Technology, the system's key modules, future plans, and the broader significance of AI‑driven IT operations.
The article explains AIOps concepts, details China Mobile Information's award‑winning intelligent operations tools, shares an interview with deputy general manager Liang Enlei on their development, evaluation experience, future plans, and introduces the national AIOps maturity model and its key modules.
Guotai Junan’s Intelligent Operations Service Platform, powered by AI‑driven AIOps, passed the China Academy of Information and Communications Technology’s excellence assessment for anomaly detection, showcasing advanced data‑driven monitoring, digital‑transformation initiatives, and future plans for fault prediction, self‑healing, and comprehensive operations intelligence.
The article explains how AIOps—AI‑driven IT operations—has become a strategic trend, details Guotai Junan’s award‑winning intelligent operations platform that achieved the top‑level “exception detection” evaluation, and shares interview insights on implementation, challenges, and future directions.
The article describes a root‑cause localization algorithm implemented in vivo’s monitoring platform that automatically analyzes latency spikes by splitting service timelines, computing variance, clustering results with K‑means, and recursively tracing downstream services, achieving over 85 % accuracy for dependency failures while still requiring human verification and outlining future AI‑driven enhancements.
An interview with senior leaders of China Agricultural Bank reveals how their AIOps‑driven operations platform achieved an Excellent rating in the CAICT root‑cause analysis module, showcasing the bank’s intelligent operations strategy, implementation details, and future plans for expanding AI‑based monitoring across cloud and micro‑service environments.
The article details the evolution, architecture, capabilities, challenges, and future plans of Vivo's comprehensive monitoring platform, covering its transition from simple Zabbix setups to a cloud‑native, AI‑ops enabled system that ensures service availability across massive infrastructure.
The article outlines vivo’s evolution from simple Zabbix monitoring to a self‑built, unified monitoring platform that now covers infrastructure, containers, databases and user experience at massive scale, integrating AI‑ops, cloud‑native observability and unified alerting to ensure end‑to‑end service reliability and future intelligent, one‑stop monitoring.
AIOps combines AI techniques such as machine learning with data science to enhance IT operations, and the Chinese CAICT has released the first international AIOps capability maturity model, detailing evaluation criteria, modules like anomaly detection and root‑cause analysis, and announcing recent certified enterprises.
China Agricultural Bank’s R&D center shares its journey of passing multiple CAICT DevOps and AIOps maturity assessments, detailing the evaluated projects, metrics improvements, challenges overcome, and future plans, illustrating how standardized, tool‑enabled practices boost quality, efficiency, security, and digital transformation in a large financial institution.
The article introduces the AIOps (Artificial Intelligence for IT Operations) capability maturity model developed by China’s Information and Communication Research Institute, explains its two parts—general capabilities and system/tool technical requirements—lists the evaluated modules, and announces the upcoming certification ceremony and contact details for participation.
China Agricultural Bank’s recent DevOps and AIOps assessments, covering 17 projects across continuous delivery, security, application design, and intelligent operations, showcase how standardized processes, tool empowerment, and rigorous evaluation boosted efficiency, safety, and digital transformation, offering actionable insights for large enterprises seeking similar maturity.
This article details Tencent CDN's challenges and solutions for business continuity, covering bandwidth and device resource constraints, massive request handling, fault‑management lifecycle, automation bottlenecks, and the implementation of AIOps, intelligent alerts, capacity planning, and root‑cause analysis to ensure reliable service.
This article details Tencent CDN's extensive business continuity challenges—including bandwidth, device resources, and massive request volumes—and explains how a fault‑management lifecycle, AIOps components, intelligent alerting, and automated capacity planning together enable resilient, automated operations.
This article presents a comprehensive, three‑part guide on the current state of full‑stack operations monitoring, common challenges and solutions, and a real‑world use case, illustrating how Alibaba Cloud Elasticsearch can improve observability, boost performance, and cut costs for complex distributed systems.
Guoxin Securities’ QianKun centralized operation platform showcases a cloud‑native, micro‑service architecture that achieved 99.95% availability through containerization, multi‑region deployment, AI‑driven capacity forecasting, and comprehensive DevOps practices, offering a 24/7 seamless account‑opening experience and setting industry benchmarks.
This comprehensive guide outlines five common MySQL performance problems, a step‑by‑step investigation methodology, detailed Java middleware and database analyses, practical tuning tactics such as index optimization and sharding, and a governance framework for sustainable performance management.
The two‑day 2022 GOPS Global Operations Conference in Shanghai featured 16 tracks, over 80 speakers, new DevOps standards, extensive assessment results, and a wealth of sessions on DevOps, AIOps, cloud‑native practices, security, and industry case studies, offering a comprehensive snapshot of modern operations engineering.
China Mobile Cloud’s Intelligent Operations (AIOps) platform passed the CAICT comprehensive evaluation, reaching industry‑leading L2 maturity, and the interview reveals the project’s goals, outcomes, and future plans for advancing AI‑driven IT operations.
This article examines the data challenges faced by intelligent operations (AIOps), evaluates IoTDB against other time‑series databases through performance benchmarks, outlines Cloudwise's architecture and open‑source contributions, and presents real‑world case studies demonstrating anomaly detection and root‑cause analysis in industrial settings.
This article presents a comprehensive overview of an event‑centric intelligent alert analysis platform, covering its evolution, core challenges, the concept of alert events, AI‑driven correlation techniques, and the MC‑Stack platform that powers modern operations.
The article examines how rapid AI adoption, AIOps, and hybrid‑work infrastructure investments are reshaping enterprise networking, security, and automation, highlighting AI‑powered assistants that can troubleshoot networks, the rise of SASE, and future trends toward human‑level AI performance.
This article describes NetEase's AIOps journey for game operations, explaining the Gartner definition of intelligent operations, the implementation roadmap, detailed anomaly‑detection techniques for business, performance, and log data, and a comprehensive fault‑localization workflow that combines resource, code, and historical analysis.
This article details Huolala's journey from basic monitoring to an AI‑driven intelligent observability platform, covering AIOps concepts, a comprehensive monitoring framework, practical implementations, automated alert analysis, lessons learned, and future directions for large‑scale operations.
ICBC’s software development center outlines its multi‑year journey adopting XOps practices—DevOps, DevSecOps, DataOps, MLOps, AIOps, ChatOps and BizDevOps—to boost development efficiency, enhance security, accelerate data‑driven AI, and cut costs, showcasing measurable improvements in release frequency, defect rates, and operational automation.
In this interview, senior database expert Kong Zaihua explains the main performance, functional, and usability shortcomings of domestic Chinese databases compared with Oracle, and outlines practical strategies, tools, and migration techniques to evaluate compatibility, handle DDL conversion, manage online/offline data transfer, and reduce reliance on stored procedures.
The 2022 inaugural XOps Industry Ecosystem Summit in Beijing gathered over six hundred thousand viewers to explore digital governance, DevOps, FinOps, AIOps and related standards, featuring keynote speeches, forum discussions, assessment result releases, and the launch of the Digital Governance Alliance and FinOps alliance.
At the 2022 XOps Industry Ecosystem Summit in Beijing, the China Academy of Information and Communications Technology unveiled the "2022 XOps Top Ten Keywords", highlighting trends such as DevOps, DevSecOps, CO‑DevOps, Continuous Testing, R&D efficiency metrics, AIOps, BizDevOps, FinOps, ArchOps and Digital Governance that are driving the evolution of modern IT operations.
The article reports on the 2022 XOps Industry Ecosystem Summit hosted by CAICT, announces the results of multiple DevOps and AIOps capability maturity model assessments across dozens of leading enterprises, explains the standards' origins and scope, and provides contact details for further evaluation inquiries.
This article details Huolala's journey from a fragmented monitoring stack to a unified, AI‑enhanced observability platform, covering AIOps concepts, the design of a comprehensive monitoring framework, concrete implementation of metrics, tracing, logging, alerting, and lessons learned for large‑scale operations.
The article details Ant Group’s AntMonitor observability platform, covering its development timeline, holographic monitoring capabilities, integrated performance analysis, efficient data integration, built‑in AI‑driven analytics, Monitoring‑as‑a‑Service, and the underlying high‑performance time‑series database and cloud‑native architecture that support massive real‑time data processing.
This article summarizes Professor Niu Xiaoling’s GNSEC 2022 keynote, outlining the XOps framework and its five pillars—XOps, DevOps research and operational efficiency metrics, AIOps, BizDevOps, and FinOps—while detailing their drivers, maturity models, implementation examples, and the role of standards in guiding enterprises toward intelligent, cost‑effective, and business‑value‑focused software delivery.
The article explores how aviation‑grade monitoring concepts—such as multi‑level alarm classification, diverse alert delivery methods, and comprehensive sensor coverage—can inspire centralized, data‑driven IT operations monitoring architectures that reduce missed alerts, false positives, and improve response times.
The 2022 online AIOps Technology Salon hosted by the China Academy of Information and Communications Technology gathered over 13,000 viewers, featured expert talks on standards, practical implementations, anomaly‑detection algorithms, and real‑world case studies from major enterprises, offering actionable insights for modern IT operations.
The article introduces the 2022 China AIOps Current Situation Survey, explains how rapid data growth and digital transformation are driving intelligent operations, outlines the joint effort of over 60 enterprises to compile the report, and invites industry professionals to contribute their insights through an online questionnaire.
China’s AIOps industry, highlighted in the 2022 “China AIOps Status Survey” led by CAICT and major telecom and cloud firms, examines the rise of intelligent operations since Gartner’s 2016 definition, detailing its role in digital transformation, infrastructure upgrades, and a detailed five‑month research timeline.
The article explains the rising importance of observability in modern operations, defines its control‑theory roots, breaks it down into metrics, traces and logs, and argues that successful implementation requires three pillars—SRE practices, AIOps algorithms, and deep business‑architecture knowledge—together with well‑designed SLOs and critical‑path mapping.
MDAP is a multi‑dimensional real‑time monitoring platform for mobile apps that gathers metrics, logs, and traces via lightweight SDKs, processes data through micro‑service back‑ends using Flink, Spark, and ClickHouse, applies intelligent analysis for smoothness scoring, memory‑snapshot optimization, stack de‑obfuscation, crash clustering, and URL templating, and aims to extend end‑to‑end observability and predictive issue detection.
This article examines the challenges of intelligent telecom network operation, presents Zhejiang Mobile’s AI‑powered self‑healing practice—including process re‑design, system reconstruction, talent transformation, and measurable results—and outlines the AIOps maturity model and future outlook for digital network management.
Observability is more than just combining metrics, traces, and logs; successful implementation requires the disciplined SRE methodology, AI‑driven AIOps capabilities, and a deep understanding of business architecture to define critical paths and layered SLOs for real‑world systems.
Observability measures a system’s current state using telemetry such as logs, metrics, and traces, enabling IT, DevOps, and SRE teams to detect, diagnose, and resolve issues in complex multi‑cloud environments while delivering better performance, reliability, and business outcomes.
The article reports on the fourth draft discussion of China’s Cloud Computing Intelligent Operations (AIOps) Capability Maturity Model – Part 2, detailing the meeting’s participants, the finalized system and tool technical requirements, and the progress toward a comprehensive AIOps standard that addresses quality, cost, efficiency, and security across multiple functional modules.
Drawing from years of ops experience, the author recounts the decline of traditional monitoring, the rise of automated dashboards, the challenges of AIOps and observability, and proposes a shift toward data‑driven, business‑focused capability building to make alerts truly useful.
The article details Meituan's five‑year journey in instant logistics, describing how distributed, high‑concurrency system architecture evolved through layered upgrades, microservices, fault‑tolerance mechanisms, AI‑driven optimization, and AIOps platforms to achieve scalability, low latency, high availability, and cost efficiency.
The article describes Meituan's five‑year journey in instant logistics, detailing how its distributed, high‑concurrency architecture has evolved through layered upgrades, micro‑service adoption, and AI integration to achieve low latency, high availability, cost efficiency, and scalability while addressing challenges such as massive order matching, peak traffic, data consistency, and fault tolerance.
This article presents a comprehensive study of continuous operations, defining its meaning, outlining the three key stages of continuous deployment, operation, and feedback, reviewing ITIL and DevOps practices, and sharing real-world case studies from major tech companies to illustrate effective implementation.
This article explains how AIOps leverages AI and data science to transform IT operations, outlines the newly released AIOps Capability Maturity Model, and highlights Inspur Cloud's platform achievements and industry collaboration behind the standard.
Zhejiang Mobile’s fault‑center AIOps system passed the first official assessment by China’s CAICT, showcasing advanced AI‑driven IT operations, detailing the evaluation process, interview insights, and the broader AIOps maturity model shaping future intelligent operations.
The article explains AIOps fundamentals, details Zhejiang Mobile’s successful assessment in the national AIOps capability maturity model, shares insights from an interview with the company’s network‑management deputy director, and outlines future plans and industry recommendations for AI‑driven IT operations.
AIOps, the application of AI to IT operations, is defined, its role in cloud service management outlined, and the recent ITU‑T SG13 plenary that adopted an international standard on AI‑based operation management is summarized, along with domestic industry contributions, maturity assessments, and the upcoming 2021 GOLF+ IT governance forum.
The article summarizes a GOPS conference presentation by Dingmao Technology on AIOps scenario‑driven construction, detailing challenges, definition of scenarios, technical methods, roadmap planning, and future prospects, while showcasing practical examples and supporting technologies for intelligent IT operations.
In this panel discussion, three seasoned operations leaders share how traditional IT operations evolve into cloud‑native practices, covering continuous iteration, container‑based automation, DevOps collaboration, observability, chaos engineering, and the strategic balance between specialization and versatility for modern SRE teams.
This article explains the fundamentals of time‑series anomaly detection, the limitations of static threshold rules in open‑source Prometheus, and how Alibaba Cloud Prometheus introduces template‑based and smart detection operators to handle spikes, periodic patterns, and data quality issues in AIOps scenarios.
An interview with Qingchuang Technology’s co‑founder reveals how their Sherlock AIOps platform passed the first domestic AIOps system and tool assessment, illustrating the role of AI‑driven alarm convergence, the significance of the CAICT maturity model, and future plans for intelligent IT operations across industries.
The article explains how AIOps, built on DevOps principles and leveraging AI and big‑data analytics, helps enterprises overcome governance challenges, improve operational efficiency, and accelerate digital transformation, highlighting standards, real‑world evaluations, and key benefits such as real‑time analysis and noise reduction.
The article examines how AI-driven tools are reshaping DevOps practices, introducing concepts like AIOps and NoOps, evaluating their impact on development speed, quality, and the evolving role of engineers, and ultimately questioning whether AI will replace traditional DevOps personnel.
The article reports that Zhejiang Mobile’s AIOps system and tool modules, including anomaly detection and alarm convergence, successfully passed the first‑stage assessment by the China Academy of Information and Communications Technology, highlighting the growing importance of AI‑driven operations, sharing interview insights on implementation, benefits, and future plans.
The article explains the concept of AIOps, details Guangdong Mobile’s AI‑plus‑knowledge experience fault‑diagnosis platform passing the first‑stage AIOps maturity assessment, shares interview insights from senior managers, and outlines future development directions for intelligent IT operations.
The article explains how AIOps leverages AI to enhance IT operations, details Huatai Securities' successful first‑batch evaluation by the China Academy of Information and Communications Technology, and outlines future plans and the emerging AIOps maturity model standards.
The 2021 DevOps International Summit in Beijing announced the latest DevOps capability maturity assessments for dozens of enterprises, introduced the new AIOps maturity model, and highlighted the global significance of China’s DevOps standards across finance, telecom, and other industries.
The article explains AIOps—AI‑driven IT operations—its Gartner‑defined role, the debut of the first certified AIOps system and tool assessments announced at the 2021 DevOps International Summit in Beijing, and provides details on the evaluated enterprises, modules, and the new AIOps Capability Maturity Model.
This article explores the shift to an intelligent‑everything era, outlines how IT value is transmitted through digital transformation, and details the eight operational challenges and four key digital concepts that enable organizations to enhance risk protection, accelerate delivery, improve customer experience, and raise service quality.
The article details Meituan’s five‑year evolution of its instant logistics platform, describing the distributed backend architecture, AI‑driven optimization, scalability and high‑availability practices, as well as future challenges in microservice complexity and operational automation.
This article details Meituan's five‑year journey building a high‑availability, low‑latency instant logistics platform, describing the distributed architecture evolution, AI‑driven optimizations, fault‑tolerance techniques, and future challenges in scaling micro‑services for massive order and rider volumes.
Intelligent Operations (AIOps) applies AI to DevOps, analyzing logs and monitoring data to enable root‑cause analysis, fault prediction, and capacity planning, and its new international standard, approved at the ITU‑T SG13 meeting, defines functional requirements and architecture for AI‑based cloud service management, marking a milestone for global adoption.
Whale is an event‑driven automated operations platform that lets developers package atomic tasks, users compose workflows, and a rule‑matching engine trigger them in real time via an event center, employing a StackStorm‑based execution engine for fault‑tolerant, cross‑datacenter orchestration and future AI‑enhanced self‑healing.
This article compiles Baidu experts' presentations at QCon 2021, covering unified quality‑efficiency delivery for feed recommendation, software engineering capabilities, AIOps fault‑management practices, Apache Doris real‑time analytics, large‑scale Service Mesh deployment, massive service‑governance techniques, and deep‑learning platform innovations, with speaker details and audience benefits.
This article explores the complexity of IT operations, outlining common misconceptions, essential capabilities, organizational and individual pain points, and presents self‑help strategies such as SRE, DevOps, automation, and AIOps to achieve sustainable, scalable, and intelligent operations within enterprises.
At the 16th GOPS Global Operations Conference, Shen Hui of DingMao Technology explained how time‑series data analysis underpins AIOps, outlining its four‑step workflow, key challenges, and the company’s three‑pipeline solution that enables trend forecasting, fault prediction, and a robust AI‑driven operational platform.
The 2021 GOPS Global Operations Conference in Shenzhen highlighted the shift toward intelligent, AI‑driven IT operations, presenting practical solutions, a three‑principle six‑step framework, and four core capabilities that help enterprises digitize, govern, and automate their operational data for higher efficiency.
This article provides a comprehensive overview of AIOps, covering its definition, evolution from manual to AI-driven operations, core capabilities, and real-world applications in capacity prediction, anomaly detection, and alarm merging, illustrated with case studies from a food‑retail giant and internal logistics.
This article examines how the rise of cloud computing, DevOps, AIOps, and FinOps is reshaping the role, boundaries, and best‑practice characteristics of modern IT operations, highlighting new trends, automation standards, security responsibilities, and cost‑optimization strategies.
This article analyzes the most influential DevOps trends for 2021, including the rise of DevSecOps, AI‑driven AIOps, infrastructure automation, chaos engineering, serverless adoption, hybrid cloud, GitOps, and edge computing, backed by market forecasts and expert predictions.
The article examines how the rapid adoption of cloud computing, DevOps, AIOps, and FinOps is reshaping the role of IT operations, highlighting new trends, evolving work boundaries, and the essential characteristics of a modern, automated, secure, and cost‑optimized operations system.
Meituan's instant logistics platform evolved over five years, adopting distributed, fault‑tolerant systems, AI‑driven optimization, and multi‑IDC strategies to handle massive order volumes, extreme traffic spikes, and stringent real‑time reliability requirements while continuously improving scalability and cost efficiency.
The article outlines eight major 2021 DevOps trends—including the rise of microservices, increased DevSecOps adoption, infrastructure automation, predictive analytics in AIOps, AgileOps, AI/ML‑driven pipelines, Kubernetes integration, and cloud management platforms—highlighting their benefits and future impact on software delivery.
This article outlines how a bank’s DBA team transformed traditional, slow, and error‑prone database release processes into a fully automated DevOps pipeline, covering modeling tools, the DBgo release engine, monitoring, AI‑ops, and practical lessons from real‑world deployments.
The article examines how data teams can select the appropriate Ops framework—DataOps, MLOps, or AIOps—by comparing their origins, principles, responsibilities, and tooling, and stresses that cultural principles outweigh technology choices for efficient delivery of data and machine‑learning products.
This article explores the intersection of natural language processing and operations, outlines common text‑handling challenges, and presents three concrete AIOps case studies—log Q&A, anomaly detection, and ticket recommendation—while reflecting on a closed‑loop AI workflow and future research directions.
The article explains the origins and differences of DevOps, DataOps, MLOps and AIOps, outlines their shared seven principles, and provides practical guidance on adopting the right X‑Ops culture to accelerate data‑driven and machine‑learning‑powered software delivery.
Since Gartner introduced AIOps in 2016, the IT operations landscape has evolved through five stages—from manual scripting to standardized tools, platform automation, DevOps, and now AI-driven AIOps—enabling real-time anomaly detection, root‑cause analysis, noise reduction, and predictive maintenance through big data and machine learning.
This article explains the evolution of IT operations toward AIOps, outlines its key scenarios, describes the team roles and capability‑building roadmap, and details JD Digital Operations' practical implementations—including fault detection, localization, and automated repair—leveraging AI, big data, and knowledge‑graph technologies.
At the 2020 GOPS Global Operations Conference, Tencent’s senior operations engineer Xie Hailin detailed the design and implementation of the Panshi platform—a comprehensive, high‑availability solution that unifies change management, fault handling, continuous operation, and disaster recovery to ensure uninterrupted payment services for billions of daily transactions.
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.
Meituan’s AIOps initiative replaces manual rule‑based monitoring with the Horae platform, which automatically classifies time‑series metrics, applies CNN and XGBoost models to detect periodic anomalies, achieves over 90 % precision in production, and paves the way for broader metric types, forecasting, and advanced fault‑localization.
