Service monitoring system threshold setting and anomaly detection system and method

Abstract

The invention discloses a service monitoring system threshold setting and anomaly detection system and a service monitoring system threshold setting and anomaly detection method. The system comprisesan index data module used for acquiring index data of a monitored index item; a threshold model setting module used for setting a corresponding threshold model by using a specific algorithm accordingto the index data of the index item acquired by the index data module; an actual index data collection module used for collecting real-time index data of the monitored index item, and sending the real-time index data to an anomaly detection module; the anomaly detection module used for detecting whether the index data input in real time accords with the set threshold model; and an alarm module used for giving an alarm when the index data input in real time does not accord with the threshold model. The invention provides the intelligent service monitoring system threshold setting and anomaly detection system and method which are flexible and accurate in threshold setting, and have threshold anomaly detection and alarm functions.

Description

technical field [0001] The invention relates to the field of Internet business system monitoring, in particular to a system and method for threshold setting and anomaly detection of a business monitoring system. Background technique [0002] At present, the traditional business is gradually shifting from offline to online on the Internet, which puts forward very high requirements for the operation and maintenance monitoring of the business system. On the one hand, the time window for the operation and maintenance of the business system is getting smaller and smaller. On the other hand, critical and important businesses will have "zero tolerance" for major failures. [0003] The configuration of the existing business monitoring thresholds basically depends on the experience of engineers to set fixed thresholds, or some simple historical normal data averages as threshold setting benchmarks. This threshold setting method not only relies heavily on the experience of operation an...

AI Technical Summary

Problems solved by technology

[0003] The configuration of the existing business monitoring thresholds basically depends on the experience of engineers to set fixed thresholds, or some simple historical normal data averages as threshold setting benchmarks. This threshold setting method not only relies heavily on the experience of operation and maintenance engineers, but also cannot Solve problems such as invalid threshold setting for periodic fluctuations of business system indicators, ineffective alarms for constant thresholds, false positives and false positives for alarms, etc.

[0004] In addition, most of the existing business monitoring systems do not have an indicator historical data collection module, and only set fixed thresholds or threshold intervals as monitoring of business indicators. The business data of daily operation and maintenance often have some ring-to-ring comparisons with the previous day or Obvious anomalies in historical data average

Images