System resource monitoring device based on business variable quantity

Abstract

The invention discloses a system resource monitoring device based on business variable quantity. The system resource monitoring device comprises a concentrated configuration module, a unified acquisition module, a distributed type analysis module and a historical data archiving module, wherein the concentrated configuration module is used for configuring a monitored host list, an acquired monitoring item, acquisition time, an acquisition format and a corresponding relation of a business module and an SQL (Structured Query Language) sentence; the unified acquisition module is used for acquiring related metadata according to configuration information of the concentrated configuration module and sending the metadata to the distributed type analysis module to carry out real-time analysis; the distributed type analysis module is used for calculating a system resource consumption distribution condition according to an acquired metadata counting business quantity index and a system resource utilization condition, calculating a system resource consumption distribution condition, and combining a business growth trend estimation resource dilatation plan; the historical data archiving module is used for compressing and archiving the metadata, and carrying out offline on the metadata of the earlier part according to configured offline time, and archiving result data to be used for report display and historical trend analysis. According to the system resource monitoring device, the resource consumption is clear, the dilatation and optimization requirements are predictable; the fault occurrence rate and the management cost are greatly reduced and the system stability is improved.

Description

technical field [0001] The invention relates to a system resource capacity monitoring device, in particular to a system resource monitoring device based on service variation. Background technique [0002] At present, the data of large and medium-sized enterprises is mainly stored in the database. Through the addition, deletion, modification, query and calculation of data to achieve specific business functions, a certain amount of basic system resources such as CPU, memory or space will be consumed each time to complete the comparison. operation of the database. When the system is relatively idle, there will be no contention between various operations due to sufficient basic resources, but as the business volume increases, the business system will run slowly or even become unavailable due to insufficient basic resources. It is especially obvious during the peak period of business, which seriously affects the stable operation of the business system. [0003] Currently there ...

AI Technical Summary

Problems solved by technology

However, when the scale of hosts exceeds 100 or 1,000, there are dozens of hosts that report alarms every day, too many need to be expanded, and the lack of spare parts requires a long time for unified procurement or it is impossible to expand the capacity itself.

The current method is relatively rough on host resource management, and it is impossible to consider resource expansion as a whole, resulting in remedial actions only when incidents occur. There is no forward-looking control and it also increases management costs.

[0008] Method 2: The user finds that the response is slow and reports a failure, and then the business department responds to the maintenance side for emergency expansion. This phenomenon mainly occurs during peak business hours. The increase in user usage leads to resource usage bottlenecks, but during low business peaks At this time, the phenomenon disappears and the system returns to normal, but because it has already affected the user's use, the user experience has been reduced, resulting in a very passive situation

When a problem occurs, the host that caused the problem is due to resource depletion due to business growth, but the problem cannot be repaired in time due to insufficient spare parts or full expansion

[0009] It can be seen from the above that the above two methods have disadvantages such as high management costs, untimely resource expansion, and difficult assessment of expansion needs. Therefore, it is necessary to improve the existing resource capacity monitoring device

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