This article outlines a comprehensive framework for assessing IT operations maturity by defining four core dimensions—availability, cost, efficiency, and technological advancement—along with quantitative metrics, scoring formulas, and practical methods for data collection and continuous performance improvement.
This article explains what big data is, outlines its four V characteristics, and describes how precise IT operations—aligning services with business needs—leverage big data analytics to improve service quality, predict user behavior, and enhance competitiveness for both traditional and internet enterprises.
This article outlines the fundamental principles, overall architecture, scope, and detailed components of an IT operations service system, covering policies, processes, organizational structure, platform tools, and management workflows such as incident, problem, change, and configuration management.
The article presents a comprehensive, business‑oriented IT operations monitoring framework for banks, detailing its lifecycle relevance, regulatory drivers, hierarchical AHP‑based design, indicator categories, weighting methods, SMART evaluation, and practical implementation steps to enhance risk control and service quality.
This article outlines a comprehensive approach for designing an IT operations monitoring platform that focuses on real‑time business transaction metrics, automatic topology discovery, event‑transaction correlation, deep component diagnostics, and unified data processing to improve availability, performance, and fault‑resolution speed in large‑scale data centers.
Ensuring uninterrupted network performance is critical for multi‑level organizations, and this guide compiles twelve free network monitoring solutions—such as Fiddler, Nagios, NeDi, EasyNetMonitor, Microsoft Network Monitor, Cacti, Zenoss, PRTG, BandwidthD, Icinga, The Dude, and Total Network Monitor—detailing their key features, capabilities, and visual interfaces to help IT teams select the right tool for reliable, secure operations.
In this interview, seasoned ops veteran Zhijin discusses the similarities and differences between traditional and internet operations, the challenges of building private clouds in finance, advice for ops professionals considering entrepreneurship or job changes, and predicts a future where private, public, and industry clouds coexist.
This article explains the design and implementation of an operations automation platform, covering the necessity of standardization, system architecture, module functions, database modeling, work‑order processes, and real‑world examples to help IT teams achieve efficient, reliable, and low‑risk operations.
This article introduces EMC's DD Boost—a proprietary protocol for Data Domain that improves backup efficiency, lists the backup applications that support it, explains required TCP ports and storage unit setup, and outlines its key features such as distributed segment processing and load balancing.
The article examines Ctrip’s prolonged service restoration after a May 28 incident, analyzing the complexities of SOA‑based architectures, the pitfalls of black‑box operations, and how transitioning to white‑box, DevOps‑aligned practices can prevent similar outages.
In 2014 Suning’s IT division built a robust, cloud‑native architecture and big‑data platform that enabled flexible scaling, real‑time analytics, secure CDN delivery, and comprehensive monitoring, supporting high‑traffic promotional events and laying the groundwork for future O2O and financial services expansion.
This guide explains how cloud administrators can proactively collect performance metrics—CPU, RAM, storage, and network—plan resource allocation, leverage workflow automation, and follow practical monitoring tips to ensure efficient, reliable private‑cloud operations in production.
This article outlines eight essential considerations—including industry type, network size, complexity, workload dynamics, VM count, agility needs, security simplification, and resource availability—that organizations should assess to determine whether Software‑Defined Networking is a suitable investment.
