Method for processing data center operation and maintenance system event

Abstract

The invention provides a method for processing a data center operation and maintenance system event. The method comprises the following steps of problem classification, problem diagnosis, and safety management. In the problem classification step, a monitoring center, after receiving a report, immediately creates a work sheet and an instant messaging group, and performs classification. In the problem diagnosis step, an operation and maintenance management department performs diagnosis. In the safety management steps, a safety management department closely observes the creation and processing of each work sheet. The method for processing the data center operation and maintenance system event has a communication cooperative effect, a fast response effect, a continuous improvement effect, a management maturity improvement effect, and an efficiency-increasing cost-reducing effect.

Description

technical field [0001] The present invention relates to the computer field, and in particular to a method for processing events of a data center operation and maintenance system. Background technique [0002] The data center is a field that is currently developing rapidly. With the development of big data applications, the data center has increasingly become the cornerstone of social operation. However, the current management system of the data center has not kept up with the development of the data center itself. The main reason is that Because there is no standardized process system in management, it is difficult to implement the agile response and real-time health status query required after the occurrence of operation and maintenance incidents, the collaboration between different disciplines and departments in different places, and the implementation of time decision support. [0003] According to the definition of data center management maturity widely recognized intern...

AI Technical Summary

Problems solved by technology

[0011] 1) Lack of work order process plan: there is no complete event handling process system suitable for actual operation and maintenance, resulting in confusion and inefficiency when events occur;

[0012] 2) Lack of diagnostic tools: relying entirely on the experience and knowledge accumulated by personnel, there is no knowledge base that can be quickly searched. The operation and maintenance level of the data center is represented by the most experienced operation and maintenance engineers. The loss of personnel will lead to a decline in service quality. fluctuation;

[0013] 3) Lack of correlation analysis: Quickly solving difficult problems in operation and maintenance requires correlation analysis of various infrastructures, software and hardware modules, middleware (big data infrastructure), and data in application systems used in the data center. Store the relationship in the database, and when tracing the source of the event, you can follow the relationship to find out the root cause of the event;

[0014] 4) The lack of emergency communication: the popularity of instant messaging (such as WeChat) makes this problem no longer exists or is no longer an intractable problem;

[0015] 5) Lack of monitoring and alarm: great progress has been made in recent years;

[0022] 6) The lack of emergency command: the data center emergency command system is relatively complete, but the efficiency needs to be improved. The problem here is how to respond quickly when an incident occurs, quickly and temporarily form an incident team to deal with it, and introduce technology when needed More capable headquarters technical team and supplier technical team to help solve the problem, so what is missing here is a quick response process mechanism

[0023] 7) The lack of automation subsystem: the lack of this aspect is relatively large, and it needs all-round improvement

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