Intelligent monitoring method for data center system

Abstract

The invention discloses an intelligent monitoring method for a data center system, which relates to the technical field of computers, and adopts the technical scheme that the intelligent monitoring system for the data center comprises a server monitoring module for monitoring a hard disk space, a CPU (Central Processing Unit) running condition and a memory utilization rate in real time; the information source monitoring module is used for monitoring mass acquisition websites; the collector monitoring module is used for monitoring the task distribution interface and the Redis service; the information analysis module is used for analyzing the log information every day; the system has the advantages that the intelligence is high, abnormal problems can be rapidly and effectively positioned, the maintenance efficiency and stability of a data collector of a data center system are improved, stable and efficient operation of a data center is ensured, operation and maintenance personnel can conveniently and rapidly process the problems, and the user experience is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an intelligent monitoring method for a data center system. Background technique [0002] The IT center of an enterprise is usually a huge data center. A large number of devices are purchased to support business systems. As the cornerstone of various services, the data center not only needs to manage a wide range of business systems, but also is responsible for the operation and maintenance of all devices Responsible for the operation monitoring of hundreds of billions of business every year. There are many system platforms and devices. The volume of tens of thousands of devices poses a higher challenge to the monitoring mechanism. In the research work of intelligent operation and maintenance, in order to ensure that users can be informed of abnormalities It is particularly important to monitor the timeliness of abnormal alarms (usually need to meet the minute-level alarm requir...

AI Technical Summary

Problems solved by technology

[0003] The existing technology has the following deficiencies: some developers forget to set the deletion log, or the file writing operation for testing in the development environment is closed, resulting in zero free space on the hard disk, resulting in all collectors deployed on the current server being in the The state of suspended animation, and the performance of the server used for data collection in the data center is generally low, and there are many tasks and long running time. Therefore, if the CPU remains high for a long time (threshold: 30 minutes), it may cause the collector to freeze. It affects the efficiency of the collector and reduces the collection speed. Abnormal data is easy to enter the production environment, which affects the user experience of data center products. Since there are many services, systems, and plug-ins involved, any problem in any place may lead to data collection. An exception occurs in the system, and when an exception occurs, it is difficult for the monitoring system to locate the problem

Images