1.Real-time Monitoring and Analysis:
AIOps integrates big-data technology to conduct real-time monitoring and analysis of IT system performance. This ensures comprehensive visibility into the system's state and empowers the operation and maintenance team to quickly identify and resolve performance bottlenecks, safeguarding the system's continuous operation and stability.
2.Anomaly Detection and Root - cause Analysis:
AIOps platforms utilize algorithms to monitor and analyze the behavior of IT systems, automatically detecting abnormal patterns. Through in-depth analysis, AIOps rapidly reveals the root causes of failures, accelerating problem-solving, reducing system downtime, and enhancing service reliability and quality.
3.Predictive Maintenance and Alarm Optimization:
AIOps makes use of predictive analysis techniques, combining historical and real-time data to predict equipment failures and application issues, enabling preventive maintenance. The intelligent alarm system optimizes the alarm process by analyzing the correlation and severity of alarms, ensuring that the operation and maintenance team can prioritize the most critical issues and improve operation and maintenance efficiency.
China Telecom Cloud Computing Research Institute Beijing Headquarters
(No. 42, Xueyuan Road, Haidian District, Beijing)
China Telecom Cloud Computing Research Institute Shanghai Branch (No. 211, Century Avenue, Pudong New Area, Shanghai)
Beijing Public Security Registration No. 11040140060 | Beijing ICP No. 12007914
Value-Added Telecommunications Business Operation License A2.B1.B2-20090001
1.Real-time Monitoring and Analysis:
AIOps integrates big-data technology to conduct real-time monitoring and analysis of IT system performance. This ensures comprehensive visibility into the system's state and empowers the operation and maintenance team to quickly identify and resolve performance bottlenecks, safeguarding the system's continuous operation and stability.
2.Anomaly Detection and Root - cause Analysis:
AIOps platforms utilize algorithms to monitor and analyze the behavior of IT systems, automatically detecting abnormal patterns. Through in-depth analysis, AIOps rapidly reveals the root causes of failures, accelerating problem-solving, reducing system downtime, and enhancing service reliability and quality.
3.Predictive Maintenance and Alarm Optimization:
AIOps makes use of predictive analysis techniques, combining historical and real-time data to predict equipment failures and application issues, enabling preventive maintenance. The intelligent alarm system optimizes the alarm process by analyzing the correlation and severity of alarms, ensuring that the operation and maintenance team can prioritize the most critical issues and improve operation and maintenance efficiency.
