This comprehensive guide outlines the seven key pillars—operations, high‑availability architecture, capacity governance, change management, risk governance, fault management, and chaos engineering—that together form a systematic approach to building and maintaining a reliable, 24‑hour backend system.
This article explains business continuity concepts, outlines the risks to IT system stability, and provides actionable steps—such as expanding monitoring coverage, improving fault detection, enhancing architecture resilience, and strengthening emergency coordination—to ensure continuous operation despite inevitable failures.
The article explains the design and functionality of an AI‑enhanced event intelligent analysis system that automates fault identification, analysis, and remediation in data‑center operations, detailing its architecture, integration with monitoring, CMDB, ITSM, big‑data platforms, and the AI techniques that enable automatic modeling, clustering, and knowledge‑base retrieval.
This article explains how to achieve 24/7 service availability through comprehensive monitoring, fault handling, release management, and capacity planning, covering alarm types, batch processing, traffic and resource metrics, fault causes and mitigation, deployment strategies, scaling commands, and service degradation techniques.
This whitepaper presents a comprehensive methodology for ensuring cloud‑based business stability, covering conceptual frameworks, fault‑management processes, change‑control standards, and detailed industry case studies such as new‑game launches, container deployments, live‑event streaming, and high‑availability architecture design.
The article presents a comprehensive overview of an AI‑ops platform for game operations, covering its background, roadmap, team structure, business scenarios, anomaly‑detection techniques, platform architecture, detection workflow, model deployment, and intelligent fault‑management strategies.
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.
This article outlines a comprehensive SRE fault‑management framework, covering core responsibilities, stability metrics such as MTBF and MTTR, detailed pre‑, during‑, and post‑incident processes, monitoring, capacity planning, disaster‑recovery, error budgeting, organizational support, and future trends like AIOps and chaos engineering.
In this detailed Q&A, a Meitu SRE leader explains the relationship between DevOps and SRE, shares practical advice on team composition, monitoring, alerting, fault‑prevention design, and provides step‑by‑step guidance using Grafana, draw.io, and other tools to help organizations build reliable services.
Meituan‑Dianping’s payment team progressed from manual fault alerts to a fully automated channel management system that detects failures, disables affected banks, conducts controlled ramp‑up tests, and restores service, dramatically cutting response times, manpower costs, and secondary‑failure risks while boosting overall availability.
This article presents a detailed, experience‑driven guide to building an efficient R&D management system covering the product lifecycle, task management, documentation, code collaboration, quality assurance, automated deployment, fault management, instant communication, and techniques for continuous technical improvement.
This article details Qunar's end‑to‑end hardware automation system, covering background challenges, lifecycle management, automated testing, data collection, fault detection, and visualized monitoring, and explains how the integrated platform reduces manual effort, improves reliability, and cuts operational costs.
This guide shares ten practical fault‑management techniques—ranging from proactive attitude and prioritizing incidents to continuous follow‑up and team collaboration—to help operations teams reduce damage, maintain service reliability, and keep users engaged during outages.
