Preface Is your data center facing this dilemma? Does the server room environment ever set off alarms due to subtle changes? Do network performance bottlenecks or server resource exhaustion always appear at peak business times? When business systems are slow to respond, does the Ops team still have to spend a lot of time shuttling between multiple tools to locate the root cause? The root cause of these challenges is the fragmentation of the operation and maintenance system. This solution is designed to completely solve this problem by providing an integrated intelligent operation and maintenance system covering infrastructure, network, computing, storage and database. Solution Overview This solution introduces the "Server Room Data Center Integration Platform", which comprehensively covers all operation and maintenance objects on a single platform and completely eliminates data silos. The platform integrates core functions such as IT service desk, unified configuration management, monitoring and alarm, and automated operation and maintenance, realizing unified management and collaboration of operation and maintenance tasks, significantly improving teamwork efficiency, and reducing the resistance of operation and maintenance caused by information fragmentation. The solution builds a full-stack unified monitoring system, realizing all-round, multi-level status monitoring of operating systems, databases, middleware, cloud platforms and business applications. Based on the multi-layer architecture design, the system can comprehensively collect, efficiently process, intelligently analyze and intuitively display monitoring data to form data-driven operation and maintenance insights. The platform is equipped with intelligent alarm and warning capabilities, which can automatically generate alarm information according to preset thresholds and rules, and notify operation and maintenance personnel in a timely manner. Through 24/7 unified monitoring and intelligent analysis, we are not only able to capture faults in real time, but also identify system risks in advance, which helps the operation and maintenance team to realize the role change from passive "fire-fighter" to active "planner", and build a highly reliable, perceivable, predictable, and reliable system. It helps the operation and maintenance team to realize the role change from passive "fire-fighter" to active "planner", and builds a highly reliable, perceptible, predictable and modernized intelligent operation and maintenance guarantee system. In-depth analysis of the core pain points Pain point 1: data silos The dynamic ring of the server room, network equipment, servers, storage, database, middleware, etc. are monitored by different systems, and the data is fragmented and lacks a unified perspective, making it impossible to carry out correlation analysis. Pain point 2: Failure alarms rely on manual discovery, slow response When performance problems occur in the business system, operation and maintenance personnel need to manually switch between multiple sets of tools, troubleshooting, long average positioning time, affecting business continuity. Pain point 3: Hidden dangers are difficult to find, insufficient preventive For the progressive deterioration of system performance, the trend of resource consumption bottlenecks lack of effective insight and early warning, and often deal with the failure only after it occurs, operation and maintenance work is always in a passive state. Pain point 3: High operation and maintenance cost, difficult to reflect the value Complex daily inspections, repetitive troubleshooting consumes a large number of senior operation and maintenance human resources, the team is difficult to focus on architecture optimization, performance tuning and other strategic work, the value of the operation and maintenance can not be manifested. Integrated Intelligent Operation and Maintenance Platform "Unified Monitoring, Intelligent Analysis, Proactive Operation and Maintenance, Fine Management" Core Concept: Realize full-stack observability from the underlying infrastructure to the upper application services, and promote the operation and maintenance mode from "passive response" to "active prevention". The core concept is to realize full-stack observability from the underlying infrastructure to the upper-tier application services, and to promote the strategic transformation of the operation and maintenance model from "passive response" to "active prevention" and "predictive maintenance". I. Unified monitoring center with full coverage of monitoring scope Infrastructure layer: dynamic loop data such as temperature and humidity of server room, UPS, air conditioner, water leakage, smoke sensor, and so on. Network layer: port status, traffic, packet loss rate of routers, switches, firewalls and other devices. Computing and storage layer: server hardware health status (e.g., disk, power supply), CPU, memory, disk I/O, storage volume utilization. Platform and Application Layer: Operating system processes, database (Oracle/MySQL, etc.) performance indicators, middleware (WebLogic, Tomcat, etc.) operation status, business-critical service ports and logs. Unified Data Platform: Standardized processing and storage in a unified data platform, laying the foundation for correlation analysis. Intelligent Analysis and Early Warning Platform Rapid Root Cause Positioning: Utilizing topology correlation and dependency analysis, when a failure occurs, it automatically converges a large number of alarms and locates the most likely root cause, greatly shortening the troubleshooting time. Trend prediction and capacity planning: Predict the usage trend of key resources such as CPU, memory, disk space, network traffic, etc., discover potential bottlenecks in advance, provide data support for capacity expansion, and avoid performance risks during business peaks. Third, automated operation and maintenance and response Automated inspection: replace manual daily inspection, can be customized inspection templates, regular automatic execution and scoring of the health status of the entire system to generate inspection reports. Automated Fault Disposal: Preset handling scripts for common faults, such as automatically restarting services, cleaning up temporary files, expanding the cloud disk, etc., to achieve the "discovery that is repaired". Visualization Screen and Reporting System Global Situation Screen: For the management and operation and maintenance team, it displays the overall health of the data center, resource utilization, business services SLA achievement and other core KPIs in real time, which can be seen at a glance. Periodic health reports: The system automatically generates operation and maintenance health reports, security monitoring reports and resource analysis reports on a regular basis (daily/weekly/monthly), providing data insights for continuous optimization.